Open-access Cardiovascular Computed Tomography and Magnetic Resonance Imaging Guideline of the Brazilian Society of Cardiology and the Brazilian College of Radiology – 2024

Cardiovascular Computed Tomography and Magnetic Resonance Imaging Guideline of the Brazilian Society of Cardiology and the Brazilian College of Radiology – 2024 The report below lists declarations of interest as reported to the SBC by the experts during the period of the development of these statement, 2021-2024. Expert Type of relationship with industry Adriano Camargo de Castro Carneiro Nothing to be declared Afonso Akio Shiozaki Nothing to be declared Alexandre Abizaid Nothing to be declared Alvaro Avezum Other relationships Funding of continuing medical education activities, including travel, accommodation and registration in conferences and courses, from the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - EMS: SBC Spirituality Symposia - DEMCA. André Schmidt Financial declaration B - Research funding under your direct/personal responsibility (directed to the department or institution) from the Brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Janssen: Milvexiana; AMGEN: Olpasirana. Andrei Skromov de Albuquerque Nothing to be declared Antonnio Carlos Palandri Chagas Financial declaration A - Economically relevant payments of any kind made to (i) you, (ii) your spouse/partner or any other person living with you, (iii) any legal person in which any of these is either a direct or indirect controlling owner, business partner, shareholder or participant; any payments received for lectures, lessons, training instruction, compensation, fees paid for participation in advisory boards, investigative boards or other committees, etc. From the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Novo Nordisk: Semaglutide; De Vita Institute: Advisory Board. Other relationships Funding of continuing medical education activities, including travel, accommodation and registration in conferences and courses, from the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Novo Nordisk: Semaglutide. Antônio Carlos Sobral Sousa Financial declaration A - Economically relevant payments of any kind made to (i) you, (ii) your spouse/partner or any other person living with you, (iii) any legal person in which any of these is either a direct or indirect controlling owner, business partner, shareholder or participant; any payments received for lectures, lessons, training instruction, compensation, fees paid for participation in advisory boards, investigative boards or other committees, etc. From the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Viatris: Inspra. Other relationships Funding of continuing medical education activities, including travel, accommodation and registration in conferences and courses, from the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Pfizer: Sybrava. Brivaldo Markman Filho Nothing to be declared Bruno Caramelli Nothing to be declared Carlos Eduardo Elias dos Prazeres Nothing to be declared Carlos Eduardo Rochitte Nothing to be declared Carolina de Medeiros Rimkus Financial declaration A - Economically relevant payments of any kind made to (i) you, (ii) your spouse/partner or any other person living with you, (iii) any legal person in which any of these is either a direct or indirect controlling owner, business partner, shareholder or participant; any payments received for lectures, lessons, training instruction, compensation, fees paid for participation in advisory boards, investigative boards or other committees, etc. From the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Guerbet: artificial intelligence; Biogen: immunomodulators; Roche: immunomodulators. Cesar Higa Nomura Nothing to be declared Cíntia Acosta Melo Nothing to be declared Clerio Francisco de Azevedo Filho Nothing to be declared Dalton Bertolim Precoma Financial declaration A - Economically relevant payments of any kind made to (i) you, (ii) your spouse/partner or any other person living with you, (iii) any legal person in which any of these is either a direct or indirect controlling owner, business partner, shareholder or participant; any payments received for lectures, lessons, training instruction, compensation, fees paid for participation in advisory boards, investigative boards or other committees, etc. From the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Novo Nordisk: Ozempic; Astrazeneca: Forxiga; Novartis: Entresto; Daiichi Sankyo: Lixiana; Lilly: Tirzetapibe. B - Research funding under your direct/personal responsibility (directed to the department or institution) from the Brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Novo Nordisk: heart failure, obesity; Lilly: heart failure, obesity; Astrazeneca: renal failure, hypertension, heart failure; MSD: dyslipidemia; Bayer: heart failure; Janssen-BMS: anticoagulation and prevention of cardioembolism. Other relationships Funding of continuing medical education activities, including travel, accommodation and registration in conferences and courses, from the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - AstraZeneca: heart failure; Lilly: heart failure and obesity. Any economically relevant equity interest in companies in the healthcare or education industry or in any companies competing with or supplying to SBC: - Healthcare. Evandro Tinoco Mesquita Financial declaration A - Economically relevant payments of any kind made to (i) you, (ii) your spouse/partner or any other person living with you, (iii) any legal person in which any of these is either a direct or indirect controlling owner, business partner, shareholder or participant; any payments received for lectures, lessons, training instruction, compensation, fees paid for participation in advisory boards, investigative boards or other committees, etc. From the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Ache: Astra educational material and lessons. Other relationships Funding of continuing medical education activities, including travel, accommodation and registration in conferences and courses, from the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Pfizer: amyloidosis. Fabio Biscegli Jatene Nothing to be declared Fábio de Morais Medeiros Nothing to be declared Fabio Fernandes Nothing to be declared Felix José Alvarez Ramires Financial declaration A - Economically relevant payments of any kind made to (i) you, (ii) your spouse/partner or any other person living with you, (iii) any legal person in which any of these is either a direct or indirect controlling owner, business partner, shareholder or participant; any payments received for lectures, lessons, training instruction, compensation, fees paid for participation in advisory boards, investigative boards or other committees, etc. From the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Novartis; Pfizer; AstraZeneca; Amgen. Flávio Tarasoutchi Other relationships Funding of continuing medical education activities, including travel, accommodation and registration in conferences and courses, from the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Aula da Edwards. Gabriela Liberato Nothing to be declared Gilberto Szarf Nothing to be declared Gilson Soares Feitosa Filho Nothing to be declared Gláucia Maria Moraes de Oliveira Nothing to be declared Guilherme Sant Anna Antunes de Azevedo Financial declaration A - Economically relevant payments of any kind made to (i) you, (ii) your spouse/partner or any other person living with you, (iii) any legal person in which any of these is either a direct or indirect controlling owner, business partner, shareholder or participant; any payments received for lectures, lessons, training instruction, compensation, fees paid for participation in advisory boards, investigative boards or other committees, etc. From the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Canon: computed tomography. Guilherme Urpia Monte Nothing to be declared Henrique Simão Trad Nothing to be declared Hilka dos Santos Moraes de Carvalho Nothing to be declared Ibraim Masciarelli Francisco Pinto Nothing to be declared Ieda Biscegli Jatene Nothing to be declared Ilan Gottlieb Nothing to be declared Isabela Bispo Santos da Silva Costa Nothing to be declared Jorge Andion Torreão Nothing to be declared José Antonio Franchini Ramires Nothing to be declared José Carlos Nicolau Financial declaration A - Economically relevant payments of any kind made to (i) you, (ii) your spouse/partner or any other person living with you, (iii) any legal person in which any of these is either a direct or indirect controlling owner, business partner, shareholder or participant; any payments received for lectures, lessons, training instruction, compensation, fees paid for participation in advisory boards, investigative boards or other committees, etc. From the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Amgen; AstraZeneca; Bayer; CSL Behring; Daiichi Sankyo; Dalcor; Esperion; Janssen; Novartis; Novo Nordisk; Sanofi; Vifor; Anthos; Libbs. Other relationships Funding of continuing medical education activities, including travel, accommodation and registration in conferences and courses, from the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Novo Nordisk. José Carlos Pachón Mateos Nothing to be declared Josá Rodrigues Parga Filho Nothing to be declared Juliano de Lara Fernandes Nothing to be declared Leonardo Sara da Silva Nothing to be declared Leopoldo Soares Piegas Nothing to be declared Ludhmila Abrahão Hajjar Nothing to be declared Luis Beck-da-Silva Financial declaration A - Economically relevant payments of any kind made to (i) you, (ii) your spouse/partner or any other person living with you, (iii) any legal person in which any of these is either a direct or indirect controlling owner, business partner, shareholder or participant; any payments received for lectures, lessons, training instruction, compensation, fees paid for participation in advisory boards, investigative boards or other committees, etc. From the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Viatris; Pfizer; AstraZeneca; NovoNordisk. B - Research funding under your direct/personal responsibility (directed to the department or institution) from the Brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - CSL Vifor. Other relationships Funding of continuing medical education activities, including travel, accommodation and registration in conferences and courses, from the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Novo Nordisk; Viatris. Luis Henrique Wolff Gowdak Financial declaration A - Economically relevant payments of any kind made to (i) you, (ii) your spouse/partner or any other person living with you, (iii) any legal person in which any of these is either a direct or indirect controlling owner, business partner, shareholder or participant; any payments received for lectures, lessons, training instruction, compensation, fees paid for participation in advisory boards, investigative boards or other committees, etc. From the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Servier: chronic coronary syndrome; Novartis: hypercholesterolemia. B - Research funding under your direct/personal responsibility (directed to the department or institution) from the Brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Servier: chronic coronary syndrome. Other relationships Funding of continuing medical education activities, including travel, accommodation and registration in conferences and courses, from the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Servier: chronic coronary syndrome. Luiz Flávio Galvão Gonçalves Nothing to be declared Luiz Francisco Rodrigues de Avila Nothing to be declared Marcello Zapparoli Other relationships Any economically relevant equity interest in companies in the healthcare or education industry or in any companies competing with or supplying to SBC: - Partner in an imaging diagnostics company. Marcelo Antonio Cartaxo Queiroga Lopes Nothing to be declared Marcelo Souto Nacif Nothing to be declared Marcelo Souza Hadlich Nothing to be declared Marcio Sommer Bittencourt Financial declaration A - Economically relevant payments of any kind made to (i) you, (ii) your spouse/partner or any other person living with you, (iii) any legal person in which any of these is either a direct or indirect controlling owner, business partner, shareholder or participant; any payments received for lectures, lessons, training instruction, compensation, fees paid for participation in advisory boards, investigative boards or other committees, etc. From the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Cleerly Health; Elucid. Marly Conceição Silva Nothing to be declared Marly Maria Uellendahl Lopes Nothing to be declared Mauricio Ibrahim Scanavacca Financial declaration A - Economically relevant payments of any kind made to (i) you, (ii) your spouse/partner or any other person living with you, (iii) any legal person in which any of these is either a direct or indirect controlling owner, business partner, shareholder or participant; any payments received for lectures, lessons, training instruction, compensation, fees paid for participation in advisory boards, investigative boards or other committees, etc. From the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Daiichi Sankyo: anticoagulation. B - Research funding under your direct/personal responsibility (directed to the department or institution) from the Brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - J&J: ventricular tachycardia ablation. C - Personal research funding paid by the Brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - ABBOT: catheter ablation of vagal vessel cindame. Other relationships Funding of continuing medical education activities, including travel, accommodation and registration in conferences and courses, from the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - J&J: Industry-sponsored symposium. Nabil Ghorayeb Nothing to be declared Otavio Rizzi Coelho-Filho Financial declaration A - Economically relevant payments of any kind made to (i) you, (ii) your spouse/partner or any other person living with you, (iii) any legal person in which any of these is either a direct or indirect controlling owner, business partner, shareholder or participant; any payments received for lectures, lessons, training instruction, compensation, fees paid for participation in advisory boards, investigative boards or other committees, etc. From the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Pfizer: amiloidose/Tafamides; AstraZeneca: insuficiência cardíaca/Forxiga; Bayer: Firialta; Norvartis: insuficiência cardíaca/dislipidemia; EMS: insuficiência cardíaca. Other relationships Funding of continuing medical education activities, including travel, accommodation and registration in conferences and courses, from the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Bayer; Pfizer; AstraZeneca. Paulo R. Schvartzman Nothing to be declared Paulo Savoia Dias da Silva Nothing to be declared Pedro Vellosa Schwartzmann Financial declaration B - Research funding under your direct/personal responsibility (directed to the department or institution) from the Brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - MSD; Novartis; AstraZeneca; Alnylam; BridgeBio; Ionis; Lilly. Other relationships Funding of continuing medical education activities, including travel, accommodation and registration in conferences and courses, from the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Pfizer; AstraZeneca; Novartis; Alnylam; NovoNordisk. Raul D. Santos Financial declaration A - Economically relevant payments of any kind made to (i) you, (ii) your spouse/partner or any other person living with you, (iii) any legal person in which any of these is either a direct or indirect controlling owner, business partner, shareholder or participant; any payments received for lectures, lessons, training instruction, compensation, fees paid for participation in advisory boards, investigative boards or other committees, etc. From the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Libbs: dyslipidemia; Novartis: dyslipidemia; Novo-Nordisk: diabetes, Sanofi: dyslipidemia; Eli-Lilly: diabetes. B - Research funding under your direct/personal responsibility (directed to the department or institution) from the Brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Amgen: dyslipidemias; Novartis: dyslipidemias; Esperion: dyslipidemias; Sanofi: dyslipidemias; Ionis: dyslipidemias; Eli-Lilly: dyslipidemias; Kowa: dyslipidemias; Amrit: dyslipidemias. Other relationships Funding of continuing medical education activities, including travel, accommodation and registration in conferences and courses, from the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Sanofi. Ricardo Paulo de Sousa Rocha Nothing to be declared Roberto Kalil Filho Nothing to be declared Rodrigo Julio Cerci Nothing to be declared Salvador Rassi Nothing to be declared Sérgio Tavares Montenegro Other relationships Participation in government-related regulatory authorities or advocacy authorities in cardiology: - Member of the Technical Chamber of Cardiology of the Ministry of Health. Silvio Henrique Barberato Financial declaration A - Economically relevant payments of any kind made to (i) you, (ii) your spouse/partner or any other person living with you, (iii) any legal person in which any of these is either a direct or indirect controlling owner, business partner, shareholder or participant; any payments received for lectures, lessons, training instruction, compensation, fees paid for participation in advisory boards, investigative boards or other committees, etc. From the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Pfizer: amyloidosis; Bristol: Camzyos; Boston: left atrial appendage occlusion. Thiago Dieb Ristum Vieira Nothing to be declared Tiago Augusto Magalhães Financial declaration A - Economically relevant payments of any kind made to (i) you, (ii) your spouse/partner or any other person living with you, (iii) any legal person in which any of these is either a direct or indirect controlling owner, business partner, shareholder or participant; any payments received for lectures, lessons, training instruction, compensation, fees paid for participation in advisory boards, investigative boards or other committees, etc. From the brazilian or international pharmaceutical, orthosis, prosthesis, equipment and implants industry: - Conjuge - Novartis; Eli-Lilly; BMS; Knight; MSD; Daichii-Sankyo; AstraZeneca; Pint Pharma; GSK; Roche; Gilead; Adium; Pfizer: breast cancer. Tiago Senra Garcia dos Santos Nothing to be declared Valéria de Melo Moreira Nothing to be declared Walther Yoshiharu Ishikawa Nothing to be declared

Table of contents

1. Introduction 12

1.1. Definition of Recommendations and Evidence 12

1.2. Definitions of Clinical Risk Score and Pretest Probability 13

1.2.1. Clinical Risk Score 13

1.2.2. Pretest Probability 13

2. Cardiovascular Computed Tomography 13

2.1. Coronary Calcium Score 15

2.1.1. Current Evidence on Cardiovascular Risk Stratification by CAC Scoring 15

2.1.2. Role of CAC Score in Risk Stratification Defined by Traditional Clinical Scores 20

2.1.3. Use of CAC Score to Support Pharmacotherapy Decision-making 21

2.2. CCTA in Suspected Stable Angina without Known CAD 21

2.2.1. As a First-choice Option in the Assessment of Nonacute Chest Pain 21

2.2.2. In Low-risk Patients with a Positive Functional Test 23

2.3. In the Investigation of Ischemic Etiology of HF 23

2.4. CCTA in Suspected Stable Angina without Known CAD 23

2.4.1. Patients with Stents 23

2.4.2. Revascularized Patients 24

2.5. Follow-up of Patients with CAD Receiving Medical Therapy 24

2.6. CCTA in the Evaluation of Other CAD-related Scenarios 26

2.7. Coronary Artery Anomalies 26

2.8. CCTA in Suspected Acute Chest Pain 27

2.8.1. Triple Rule-out 28

2.9. CCTA in Preoperative Assessment 28

2.10. Valvular Heart Disease Assessment by CCTA 29

2.11. Preoperative Assessment in Percutaneous Aortic Valve Implantation (TAVI/ViV) 29

2.12. Percutaneous Planning of Other Structural Changes 30

2.13. Assessment of Cardiac Veins, Left Atrium, and Pulmonary Veins (Including Planning for Atrial Fibrillation Ablation/Atrial Appendage Occlusion) 31

2.14. Functional Assessment by CT 32

2.14.1. CT Myocardial Perfusion Imaging 32

2.14.2. CT-derived Fractional Flow Reserve (FFRCT) 33

2.15. CT in the Assessment of Non-ischemic Cardiomyopathy 34

2.15.1. CT in the Assessment of Ventricular Function 34

2.15.2. Myocardial Tissue Characterization by Delayed Enhancement CT in Non-ischemic Cardiomyopathy 35

2.15.3. Myocardial Extracellular Volume Measurement by CT 35

2.16. CT in the Assessment of Pericardial Diseases 35

2.17. CT in the Assessment of Cardiac Masses/Thrombi 37

2.18. Vascular Diseases 38

2.18.1. Aorta 38

2.18.2. Extracranial Carotid Arteries 40

2.18.3. Renal Arteries 40

2.18.4. Peripheral Vascular Disease 40

2.18.5. Pulmonary Arteries 41

2.18.6. Visceral Arteries 41

3. Cardiovascular Magnetic Resonance 41

3.1. Use of Multiparametric Mapping in the Differential Diagnosis of Cardiomyopathies 44

3.2. Investigation of CAD Using MRI – Myocardial Ischemia 46

3.3. Investigation of DAC Using MRI – Myocardial Viability 47

3.4. Coronary Magnetic Resonance Angiography 51

3.5. Differential Diagnosis of Troponin-positive Nonobstructive Coronary Arteries (TP-NOCA/MINOCA) 51

3.6. Stress Cardiomyopathy (Takotsubo) 52

3.7. Myocarditis/Inflammatory Cardiomyopathy 53

3.8. Athlete's Heart 53

3.9. Hypertrophic Cardiomyopathy 54

3.10. Endomyocardial Fibrosis 55

3.11. Cardiac Amyloidosis 56

3.12. Cardiac hemosiderosis 57

3.13. Other Storage Diseases 57

3.14. Chagas Heart Disease 58

3.15. Arrhythmogenic Right Ventricular Dysplasia/Cardiomyopathy 59

3.16. Sarcoidosis 60

3.17. Left Ventricular Noncompaction/Excessive Trabeculation of the Left Ventricle 61

3.18. Muscular Dystrophy 61

3.19. Peripartum Cardiomyopathy 62

3.20. Cardiomyopathy Related to Systemic Diseases 62

3.21. Cardiac Alterations Associated with Heart Transplantation 63

3.22. Pericardial Disease 63

3.23. Cardiac Masses and Thrombus 66

3.24. Valvular Heart Disease 68

3.25. Cardio-oncology 70

3.26. Vascular Disease 70

3.26.1. Aorta 71

3.26.2. Extracranial Carotid Arteries 71

3.26.3. Renal Arteries 71

3.26.4. Pulmonary Arteries 72

3.26.5. Visceral Arteries 72

4. Congenital Heart Disease 73

4.1. CT in the Evaluation of Congenital Heart Diseases 73

4.1.1. Evaluation of Intracardiac and Extracardiac Shunts 73

4.1.1.1. Atrial and ventricular septal defects 73

4.1.1.2. Partial and Total Anomalous Pulmonary Venous Connection 73

4.1.2. Congenital Valvular Heart Disease 74

4.1.2.1. Tricuspid Valve/Ebstein's Anomaly 75

4.1.2.2. Pulmonary Valve 75

4.1.2.3. Mitral Valve 75

4.1.2.4. Aortic Valve 75

4.1.3. Conotruncal Anomalies 75

4.1.3.1. Tetralogy of Fallot 75

4.1.3.2. Double-outlet Right Ventricle 76

4.1.3.3. Common Arterial Trunk 76

4.1.3.4. Transposition of the Great Arteries 76

4.1.3.5. Congenitally Corrected Transposition of the Great Arteries 77

4.1.4. Thoracic Aorta Anomalies 77

4.1.4.1. Coarctation and Other Aortic Abnormalities 77

4.1.5. Univentricular heart 78

4.1.6. Other 79

4.2. CMR in Congenital Heart Disease 80

4.2.1. Evaluation of Intracardiac and Extracardiac Shunts 80

4.2.1.1. ASDs 80

4.2.1.2. Patent Foramen Ovale 80

4.2.1.3. Partial and Total APVC 81

4.2.1.4. VSDs 81

4.2.1.5. AVSDs 81

4.2.1.6. Patent Ductus Arteriosus 81

4.2.2. Congenital Valve Abnormalities 82

4.2.2.1. Tricuspid Valve/Ebstein's Anomaly 82

4.2.2.2. Mitral Valve 83

4.2.2.3. Mitral Stenosis 83

4.2.2.4. Pulmonary Valve 83

4.2.2.5. Aortic Valve 83

4.2.3. Conotruncal Anomalies 84

4.2.3.1. Tetralogy of Fallot 84

4.2.3.2. DORV 84

4.2.3.3. Common Arterial Trunk 85

4.2.3.4. Transposition of the Great Arteries 85

4.2.3.5. Congenitally Corrected Transposition of the Great Arteries 86

4.2.4. Anomalies of the Thoracic Aorta 87

4.2.4.1. CoA 87

4.2.4.2. Other Aortic Anomalies 87

4.2.5. Univentricular Heart 87

4.2.6. Other 88

References 89

Preamble

In Brazil, cardiovascular diseases represent an important cause of mortality. From 2010 to 2019, 28% of deaths recorded by the Information Technology Department of the Brazilian Unified Health System resulted from this group of diseases.1 Within the measures involved in tackling this public health problem, strategies for rational use of resources have been boosted by advances in diagnostic imaging techniques. Notably, computed tomography and magnetic resonance imaging have expanded their potential within the diagnostic and prognostic arsenal in cardiovascular disease, in addition to serving as a basis for planning different types of therapeutic procedures (surgical and/or minimally invasive).

The field of cardiovascular imaging is growing exponentially. In recent years, the emergence and improvement of new techniques for the detection of coronary artery disease, as well as those related to the anatomic and functional study of the myocardium, have allowed the expansion of indication criteria for computed tomography and cardiac magnetic resonance in the management of patients with heart disease. Meanwhile, results from large multicenter studies have allowed for more assertive definitions in the use of these methods in specific scenarios, validating and adjusting previously inconclusive indications.

Along with developments in the diagnostic field, therapeutic procedures (percutaneous and/or surgical) in cardiology have also included the development of techniques to expand their indications in the treatment of several diseases. The indication of such procedures has been accompanied by the need for more anatomic details and diagnostic accuracy for their proper use. This scenario has also been a potentiating agent for the use of computed tomography and cardiovascular magnetic resonance as an auxiliary resource in the clinical management of patients.

The Cardiovascular Computed Tomography and Magnetic Resonance Imaging Guideline II,2 published in 2014 jointly by the Brazilian Society of Cardiology and the Brazilian College of Radiology, brought together the most robust evidence available for the application of both methods in different clinical settings. On that occasion, it also shed light on the techniques being developed in multiple areas, even if they had not yet been widely validated by large-scale studies. Therefore, this update aims to revisit the indications proposed in the previous document and to contextualize the advances in these modalities, qualifying them with the respective levels of evidence and classes of recommendation in multiple applications. The ultimate goal of this document is to serve as an information source for cardiologists, providing updated information based on the best available evidence to be used in clinical practice aiming to address routine clinical issues.

1. Introduction

Since the latest cardiovascular computed tomography (CT) and magnetic resonance imaging (MRI) guideline of the Brazilian Society of Cardiology (SBC), new technologies and several scientific publications involving these diagnostic methods, including multicenter and randomized studies, have contributed to reinforcing pre-existing indications, as well as to reporting new contributions of these imaging modalities within cardiology.

Cardiovascular CT and MRI, relatively recent methods in cardiology, have brought about a revolution in the understanding and treatment of heart disease. Cardiac CT has allowed the detection of coronary atherosclerosis in its earliest stages, highlighting the important prognostic value of nonobstructive coronary artery disease (CAD), previously underestimated by various cardiology societies worldwide, and reinforcing the value of anatomy to guide the treatment of obstructive CAD, being the initial method of choice in the workup of symptomatic patients without known CAD. Despite initially providing an anatomic examination, CT is increasingly proving to be a comprehensive modality in the assessment of heart disease. The assessment of ischemia using stress CT myocardial perfusion imaging (CT-MPI) and/or CT-derived fractional flow reserve (FFRCT) can be a validated alternative to other tests for ischemia or may complement the anatomic information in stenoses with undetermined functional repercussions.38 The assessment of structural heart diseases, such as valvular heart disease, has also benefited from advances in CT, enabling cardiologists to better select patients for less invasive therapeutic procedures with increased success rates and reduced complication rates.9

Cardiac magnetic resonance (CMR) has the advantage of not using ionizing radiation and provides comprehensive morphological and functional cardiac assessments. It has expanded the diagnostic arsenal in the assessment of CAD, with high diagnostic accuracy for detecting myocardial ischemia, and is considered the gold standard in the assessment of ventricular function, myocardial infarction, and myocardial viability, being able to assess all these parameters in a single scan.2,1013 MRI has become an essential imaging modality for the assessment of non-ischemic cardiomyopathy, assisting in the diagnosis and prognosis of the disease and providing information for therapeutic management.2,14,15

To serve as a reference for the use of these imaging modalities in routine clinical practice and based on the best available evidence, SBC and the Brazilian College of Radiology (CBR) developed this document aiming to assist physicians in recommending these modalities to improve clinical decision-making that benefits patients.

1.1. Definition of Recommendations and Evidence

In line with previous documents developed by different national and international medical entities and societies, the information contained in this document derives from indications based on classes of recommendation and levels of evidence. Represented by indications in different clinical settings and/or specific diseases, the use of each modality is individualized for each topic proposed in this document.

Briefly, the class of recommendation involves a consensus position on the usefulness and benefit of a certain procedure, considering the safety and effectiveness of its use based on the best available evidence. The level of evidence defines the quality of the studies supporting such recommendations, including everything from expert opinions to randomized controlled trials.

Classes of recommendation 2 :

  • Class I: Conditions for which there is conclusive evidence and, failing that, general agreement that a given procedure is safe and useful/effective.

  • Class II: Conditions for which there is conflicting evidence and/or a divergence of opinion about the safety and usefulness/efficacy of a procedure.

    • Class IIa: Weight or evidence/opinion in favor of the procedure. Most approve.

    • Class IIb: Safety and usefulness are less well established, and there is no predominance of opinions in favor of the method.

  • Class III: Conditions for which there is evidence and/or general agreement that a procedure is not useful/effective and, in some cases, may be harmful.

Levels of evidence 2 :

  • Level A: Data obtained from several large randomized studies showing concurring results and/or a robust meta-analysis of randomized controlled trials.

  • Level B: Data obtained from a less robust meta-analysis, a single randomized study, or from nonrandomized (observational) studies.

  • Level C: Data obtained from consensual expert opinions.

1.2. Definitions of Clinical Risk Score and Pretest Probability

1.2.1. Clinical Risk Score

Clinical risk scores are tools that help assess the probability of an asymptomatic individual developing atherosclerotic cardiovascular disease (ASCVD) within a given period (typically 10 years) and are calculated based on individual risk factors and population analyses. The use of risk scores is important to identify an appropriate preventive therapy, adjusting the intensity of prescribed therapy to the patient's estimated risk. This allows us to maximize the benefit of medications in patients at higher risk and to avoid unnecessary and/or excessive medication use in those at lower risk.

The Framingham risk score (FRS) has been used for many years in several countries to estimate the 10-year risk of coronary heart disease and death. However, it is currently being replaced by other risk scores, such as the global risk score, ASCVD risk estimator, Reynolds risk score, and SCORE (Systematic COronary Risk Evaluation).1619 SBC recommends the use of the global risk score, which estimates the 10-year risk of myocardial infarction, stroke, heart failure (HF), or peripheral vascular insufficiency.16,17

1.2.2. Pretest Probability

The ability of a test to correctly confirm or exclude a disease will depend on its diagnostic accuracy and the prevalence of that disease in the population under investigation. Therefore, selecting the appropriate test for a given population is essential to avoid false-negative and false-positive results.

In the workup of CAD, several tests with well-established diagnostic accuracy can be used, and their choice should be based on the prevalence of CAD, as well as on local availability and experience and on patients' specific characteristics that may limit the analysis of a test.8,20,21

The assessment of CAD prevalence in an investigated population includes the collection of patient data, personal history, and previous test results, physical examination, and, mainly, the characteristics of the reported symptoms, thus estimating the pretest probability of CAD. The pretest probability can also be analyzed more objectively using validated scores to assist physicians in clinical decision-making regarding the test to be ordered. An older, widely used score is the Diamond-Forrester model, but recent studies have shown an overestimation of CAD pretest probability. More current scores, such as the CAD Consortium and its variants, may provide more appropriate estimates of this prevalence.8,2124

Despite these discrepancies between the different scores in pretest probability estimates, an alternative stratification of suspected CAD can be used as follows2,25:

  • Low pretest probability: < 10% probability of CAD

  • Intermediate pretest probability: 10% to 90% probability of CAD

  • High pretest probability: > 90% probability of CAD

2. Cardiovascular CT

The applications and indications of cardiac CT have expanded greatly with the development of new technologies, the publication of studies, and the experience of the physicians involved. Initially, CT was performed without contrast to evaluate coronary artery calcium (CAC). Later, using 64-slice multidetector CT (MDCT) scanners, the noninvasive assessment of anatomy was expanded to include the coronary arteries. Currently, CT is a method that offers a multimodal assessment in cardiology, providing an alternative to other diagnostic methods in the analysis of multiple anatomic and physiologic structures and parameters, such as the assessment of cardiac chamber volumes and function, identification of myocardial ischemia using MPI (under pharmacological stress or FFRCT, a tool that determines the functional repercussion of coronary stenosis), assessment of myocardial infarction and viability using late gadolinium enhancement (LGE), analysis of cardiac veins and pulmonary veins, and assessment of valvular heart disease, congenital heart disease, and non-ischemic cardiomyopathy.2,3,8,25

This expansion in the use of cardiac CT is one of the reasons for updating this Guideline, which will be discussed in specific topics throughout this document and in an introductory manner below to help ordering physicians understand its applications and limitations.

One of the applications of cardiac CT is to determine the CAC score, a method validated in asymptomatic patients for further stratification of cardiovascular risk. CAC testing is a rapid noninvasive assessment, without the use of iodinated contrast and with a low dose of ionizing radiation (around 1 mSv), which aims to detect and quantify CAC, being an independent predictor of mortality, coronary events, and myocardial ischemia.2,2630 The information provided by the CAC score on the burden of coronary atherosclerosis makes it possible to individualize the cardiovascular risk provided by clinical risk scores based on population data, further stratifying cardiovascular risk better than any other method for this purpose in asymptomatic patients and enabling clinicians to adjust preventive therapy and improve medication adherence in patients requiring medication use.3134 A suggestion on how CAC can assist in risk stratification is illustrated in the flowchart in Figure 1.2634

Figure 1
Use of coronary artery calcium (CAC) scoring as a tool for risk stratification and clinical management support. CAD: coronary artery disease; LDL: low-density lipoprotein; ASA: acetylsalicylic acid.

The main examination included within the definition of cardiac CT is coronary CT angiography (CCTA), a well-validated examination in the workup of CAD with high diagnostic accuracy and prognostic value. CCTA uses iodinated contrast, preferably nonionic contrast agents due to the lower risk of complications, requiring peripheral venous access for high-flow injection (4 to 6 mL/s) of a low volume of contrast (approximately 60 to 70 mL) compared with other CT modalities.

CCTA also uses ionizing radiation, and in recent decades there has been a significant reduction in the radiation dose due to modern CT scanners and technological advances in conventional CT scanners. The average radiation dose in retrospective acquisition with dose modulation is about 9 mSv using 64-slice MDCT scanners. However, in more modern CT scanners, this same type of acquisition uses an average dose of 5 mSv, which can be even lower if other types of acquisition are used, such as prospective (< 3 mSv) and high-pitch acquisition (< 1 mSv).2,35

In CCTA protocols, the use of negative chronotropic medications to reduce heart rate (< 60 bpm) and the use of sublingual nitrates for coronary vasodilation are strategies that increase imaging quality and diagnostic accuracy and allow the radiation dose to be further reduced by selecting acquisition modes that can be used with lower heart rates.2,36 As imaging is synchronized with the electrocardiogram (ECG) for image formation, patients with arrhythmias or high heart rates may have non-diagnostic images, especially with conventional CT scanners. Another key point is that CCTA images are acquired during inspiration breath hold (< 15 seconds), which is necessary to keep the diaphragm and the topography of the heart unchanged in the chest during scanning.2,36

Among the diagnostic tests for CAD, CCTA is a noninvasive imaging option in patients with low-to-intermediate pretest probability which has been increasingly indicated owing to the publication of multiple studies, including prospective, randomized, and multicenter studies.2,3,8,23,25,3739 In the Prospective Multicenter Imaging Study for Evaluation of Chest Pain (PROMISE), published in 2015, 10,003 patients with suspected stable CAD were randomized to undergo CCTA or functional testing for ischemia, showing a similar number of primary outcomes (death, myocardial infarction, hospitalization for unstable angina, and major procedure-related complication) in both groups at the end of a follow-up of 2 years (3.3% vs 3.0%, respectively). Despite the similar number of positive tests in both groups (10.7% vs 11.7%), the CCTA group referred more patients to coronary angiography within 90 days (12.2% vs 8.1%) and myocardial revascularization (6.2% vs 3.2%). Interesting data from the PROMISE study show a lower rate of coronary angiography without significant stenosis in the CCTA group (27,9 vs 52,5%). Although it was considered a neutral study (primary composite outcome did not differ between the groups), a significant reduction (34%) in the composite outcome of death and myocardial infarction was observed at the end of the first 12 months of follow-up in the CCTA group (hazard ratio [HR] 0.66; p = 0.049).23

Another study comparing CCTA and functional testing for ischemia was the Scottish Computed Tomography of the Heart (SCOT-HEART) trial, in which 4,146 patients with suspected stable angina were randomized to undergo CTA or standard of care using treadmill test. An important instruction in the SCOT-HEART trial protocol was that, in the CTA group, patients with obstructive and nonobstructive CAD would have to receive drug therapy, while in the functional-testing group, as this test cannot detect nonobstructive CAD, drug therapy in patients with negative results was guided by the local clinical risk score. Despite a similar number of patients referred for coronary angiography and revascularization, the CTA group detected a higher rate of patients with obstructive CAD, initiated more preventive and antianginal therapies, and significantly reduced (50%) the rates of fatal and nonfatal myocardial infarction in the first 20 months of follow-up and the rates of cardiovascular deaths and myocardial infarction (41%) at the end of 5 years of follow-up.37,38

A long-awaited study in the treatment of stable CAD was the International Study of Comparative Health Effectiveness with Medical and Invasive Approaches (ISCHEMIA), in which 5,179 patients with stable angina and moderate or severe ischemia on stress testing were randomized to an invasive strategy (coronary angiography and revascularization when feasible) or a conservative strategy (initial medical therapy and coronary angiography if medical therapy failed). The study patients underwent CCTA to evaluate left main stenosis (≥ 50%), which was an exclusion criterion, and the cardiologists who followed the remaining patients were blinded to these results. The study showed that the primary outcome of cardiovascular death, myocardial infarction and hospitalization for unstable angina, HF, or resuscitated cardiac arrest was similar in both groups, demonstrating the safety of medical therapy in this population without left main stenosis on CCTA.39 Further analysis of data from the ISCHEMIA trial showed that the severity of stenosis on CCTA was associated with greater clinical risk, but not with the ischemia severity after adjustment for anatomic severity.40

Given current evidence, CCTA is a well-validated test not only for its diagnostic and prognostic value in CAD but also for improved further stratification of cardiovascular risk and guidance on clinical decision-making in patients with CAD, being an appropriate initial option in this assessment, especially in patients without known CAD, as recommended by other international guidelines.3,8 Suggested flowcharts for the investigation of patients without known CAD and with known CAD are shown in Figures 2 and 3, respectively.3,8,41,42

Figure 2
Flowchart for assessment of coronary artery disease (CAD) in patients without known CAD. CT: computed tomography; LMCA: left main coronary artery; FFR: fractional flow reserve.
Figure 3
Flowchart for assessment of coronary artery disease (CAD) in patients with known CAD. ECG: electrocardiogram; CT: computed tomography; MRI: magnetic resonance imaging; CT-MPI: CT myocardial perfusion imaging; FFR: fractional flow reserve; PET: positron emission tomography.

Cardiac CT modalities that can also be used in CAD assessment include the detection of myocardial ischemia by stress CT-MPI or FFRCT.3 Stress MPI, generally combined with vasodilators such as adenosine and dipyridamole, has been validated for approximately 2 decades, with both diagnostic and prognostic value. In a Coronary Artery Evaluation using 320-row Multidetector Computed Tomography Angiography and Myocardial Perfusion (CORE320) study, CT-MPI (not combined with anatomic CTA data) in relation to myocardial scintigraphy (single photon emission CT [SPECT]) had better diagnostic accuracy than invasive coronary angiography, showing superior sensitivities for the diagnosis of significant left main stenosis (CT-MPI 92% vs SPECT 75%), 3-vessel CAD (CT-MPI 92% vs SPECT 79%), 2-vessel CAD (CT-MPI 89% vs SPECT 68%), and 1-vessel CAD (CT-MPI 83% vs SPECT 41%).43

Evaluation of myocardial ischemia using FFRCT, a more recent method in cardiology and validated in clinical studies, has the advantage of evaluating the functional significance of coronary artery stenosis without the need for pharmacological stress or extra doses of iodinated contrast and radiation, although requiring the use of software designed for this additional analysis. FFRCT can therefore assist in decision-making in patients, for example, with moderate stenosis, maintaining management with medical therapy if negative or ordering invasive coronary angiography if positive to continue the diagnostic workup.57

Other different uses of cardiac CT are better detailed in specific sections of this Guideline, showing its multimodality features within cardiology.

2.1. Coronary Calcium Score

2.1.1. Current Evidence on Cardiovascular Risk Stratification by CAC Scoring

In 1990, Arthur Agatston used electron beam CT (EBCT) to identify and quantify calcified coronary atherosclerosis.44 Since then, after more than 3 decades of publications and follow-up of several large population cohorts, the quantification of atherosclerotic burden using the CAC score has established itself as the best additional tool for predicting the risk of major cardiovascular events among the currently available tools in clinical practice.45

2.1.1.1. Technique
  • CAC testing is performed without the use of contrast, often on MDCT scanners, which have wider clinical utility than EBCT scanners. ECG-synchronized axial images are acquired covering the entire cardiac area, in the craniocaudal direction. Total scanning duration is about 10 minutes, and the current radiation dose is extremely low, about 0.8 to 1 mSv.46

  • CAC testing detects the calcified atheroma plaque component, which can be quantified in several ways (Agatston, volume, and density scores, among others). The Agatston score is the most widely used one in clinical practice, as it is a reference for population databases such as the Multi-Ethnic Study of Atherosclerosis (MESA) and Framingham Heart Study (FHS).47

2.1.1.2. Independent Risk Marker for Cardiovascular Events

Early studies helped determine the role of CAC, such as the South Bay Heart Watch Study,46 which showed that CAC further risk-stratified patients deemed at intermediate risk by the FRS, and the St. Francis Heart Study, which, in 2005, showed a much higher cardiovascular risk when comparing groups with CAC > 400 vs CAC = 0.48

Larger cohort studies of asymptomatic patients in primary prevention have been conducted over the past 15 years. Studies conducted in the United States, such as the MESA,49 which prospectively followed 6,814 patients aged 45-84 years, CAC Consortium (largest cohort in the literature with 66,363 patients),50 and Dallas Heart Study (DHS),51 the German Heinz Nixdorf Recall (HNR) study, including 4,814 patients aged 45-74 years,52 and the Dutch Rotterdam Study,53 including 7,983 slightly older patients (age > 55 years), reinforced concepts such as CAC being higher in men, there being differences across ethnicities, and differences that increase with age, thus contributing to a better understanding of the process of coronary atherosclerosis.

These studies also helped to establish the relationship between CAC scoring and cardiovascular risk. For example, Detrano et al., using data collected from the MESA cohort, showed that CAC was independently related to the incidence of cardiovascular events, and that a doubling of the CAC score resulted in a 25% increase in the risk of a major event during a follow-up of 3.8 years.54

2.1.1.3. Basic Concepts
  1. Higher atherosclerotic burden detected by the CAC score indicates greater risk of obstructive CAD and major cardiovascular events. This pattern is similar across all study populations.

  2. Positive CAC scores can be classified as low (1-100), moderate (101-400), high (> 400), and very high (> 1,000) (Table 1).

Table 1
Relative risk (RR) for cardiovascular events and degree of coronary calcification according to absolute coronary artery calcium (CAC) score

Of particular clinical interest is an Agatston score greater than 100 or a 75th percentile ranking or higher for sex, age, and ethnicity (useful in young patients with absolute scores still below 100), being regarded as an aggravating factor for cardiovascular risk by further risk-stratifying patients to a risk category above that obtained with the clinical tool used (eg, global risk score, 10-year ASCVD, FRS).16 It is worth noting that, in patients with diabetes mellitus (DM), the cutoff threshold is lower, with CAC greater than 10 being considered an additional risk factor.57 Absolute scores are more strongly associated with major cardiovascular events than percentile ranks, at least in the short/medium term.58 An elevated coronary calcium score, greater than 400 (Agatston method), is related to a higher incidence of detectable ischemia and a risk of events similar to that of symptomatic patients.59

2.1.1.4. Target Population

Asymptomatic patients in primary prevention and with a marginal or intermediate clinical risk are those who benefit most from CAC testing.60,61

It should be noted that scores that use traditional risk factors tend to overestimate cardiovascular risk compared with the incidence of events in the population included in more recent studies,62 which may lead to a categorization that will require greater use of drugs and complementary tests, with questionable clinical benefit.

Populations with risk factors not included in traditional scores, such as DM and familial hypercholesterolemia (FH), and with a positive family history of premature CAD are also associated with potential clinical benefits with the measurement of coronary plaque burden using CAC.6367

CAC testing should not be routinely used in symptomatic patients in the emergency department, as the mechanism potentially involved (plaque rupture, thrombosis, non-calcified plaque) may not be properly characterized in this test. Furthermore, even in the outpatient setting, the use of CAC in symptomatic individuals is also not recommended. Although a CAC score of zero is known to have a very high negative predictive value and a good medium-term prognosis, we also know that up to 10% of these patients have non-calcified CAD, with approximately 2% of them presenting with lesions > 50% in a cohort of 1,753 patients.68,69

Likewise, patients in secondary prevention, where cardiovascular risk is already considered very high, are also not candidates for CAC testing.

2.1.1.5. Distribution

Studies have demonstrated that, similar to coronary angiography and CCTA, in which the segment involvement score (SIS) can be calculated,70 the location and distribution of calcified plaques in CAC scoring have prognostic implications. Thus, plaque burden concentration mostly in the left main coronary artery (especially if above 25% of total CAC) is independently associated with an increase of 6% to 9% in cardiovascular mortality, after adjusting for plaque burden in the remaining coronary arteries. Patients with 1-, 2-, and 3-vessel CAC also have a continuous and progressive worsening in the rate of cardiovascular events, as demonstrated in the FHS with a 7-year follow-up.71,72 A study of the CAC Consortium population showed that integrating the regional distribution of CAC into traditional CAC improved further risk stratification.73

2.1.1.6. Age to Start CAC Testing

There is no determined standard age, and clinical data obtained from the patient's history-taking and physical examination should be considered.

An interesting recent study using data from the CAC Consortium, including 22,346 patients aged 30 to 50 years, aimed to determine the ideal age at which a first CAC scan for subclinical atherosclerosis would have the highest utility according to the presence of ASCVD risk factors. Compared with patients without risk factors, those with DM developed a positive CAC 6.4 years earlier, whereas patients with other traditional risk factors developed CAC > 0, on average, 3.3 to 4.3 years earlier. The model used in the study indicated that the ideal age for a potential first CAC scan was approximately 37 years in men and 50 years in women with DM. At the other end, in patients without risk factors, the ideal age was approximately 42 years in men and 58 years in women.74

2.1.1.7. Frequency

For patients with a positive CAC (> 0), the general recommendation is not to repeat the test, especially if cardiovascular risk has already been further stratified in the test in question. It should be noted that there is an inter-scan variability of 15%56 and a natural progression of atherosclerosis of 15% to 20% per year,75 which may also be affected by statin therapy76 and regular physical activity,77 as both situations lead to an increase in the calcified atheroma plaque component. Furthermore, no clinical algorithm uses CAC progression to define treatment, as such information is not clearly superior to baseline CAC as a prognostic indicator.

When CAC = 0, 20% to 25% of patients convert to a positive CAC (generally low scores) within 4 to 5 years. A recent study showed that the time to conversion from CAC = 0 was 5 to 7 years in low-risk patients (< 5% risk by the ASCVD score), 3 to 5 years in low-to-intermediate-risk patients (5% to 10% risk by the ASCVD score), and 3 years in high-risk patients with diabetes. Therefore, in general, 3 to 5 years seems to be the recommended time frame for repeat scanning in CAC = 0.78,79

Patients with 2 zero-CAC scores have the best event-free survival rate (1.4% at 10 years).28

2.1.1.8. The Power of Zero CAC

Over the years, after the concept of atherosclerosis burden as the main marker of cardiovascular risk became established, the focus of studies shifted to the protective effect of the absence of calcified atherosclerosis, since the very low rate of events in patients with zero CAC (approximately 0.1% per year) has always attracted attention. This population represents approximately one-third of patients even in scenarios where the expected prevalence of atherosclerosis would be higher, such as in patients with chest pain and diabetes.69,80 A meta-analysis including 29,312 patients with zero CAC from 13 studies showed a 4-year event rate of 0.47% in this population.81

Zero CAC has been shown to play a role as a "negative" risk factor in the absence of calcified atherosclerosis as detected by the Agatston score, surpassing clinical risk factors for mortality prediction. In a study of 44,052 patients, patients with no traditional risk factors and CAC > 400 had a substantially higher cardiovascular risk than those with 3 or more risk factors and CAC = 0 (16.89 vs 2.72 events per 1,000 person-years).82

In the CAC Consortium population, which is the study with the largest sample size available in the literature (66,363 patients, with a mean age of 54 years and 33% women), 45% had zero CAC (mean age of 45 years) and low rates of major cardiovascular events (0.32 to 0.43 per 1,000 person-years). Although still rare, cancer was the leading cause of death in this population.83 This concept was consolidated in an unprecedented way that the 2018 American consensus on dyslipidemia included the possibility of reclassifying the cardiovascular risk of those with zero CAC to a lower level, including the discussion of the discontinuation of lipid-lowering medications (except in smokers, those with DM, those with FH, and those with a positive family history of premature CAD).60

2.1.1.9. Very High CAC (> 1,000 Agatston Units)

The population with a considerable calcified atherosclerosis burden has also been studied more closely in recent years.

Recently, a cohort study of patients with CAC > 1,000 showed that the risk of cardiovascular events in this population surpasses even that of patients in secondary prevention with a suboptimal lipid profile, such as those evaluated in the Further Cardiac Outcomes Research With PCSK9 Inhibition in Subjects with Elevated Risk (FOURIER) trial.84 A study of patients from the CAC Consortium found similar results,85 suggesting a more aggressive treatment and better cost-benefit ratio in the use of functional testing for ischemia in this subgroup of patients.

2.1.1.10. Special Populations

2.1.1.10.1. Diabetes Mellitus (DM)

Even in the population of individuals with DM, who would theoretically be at high risk, cardiovascular risk is heterogeneous. This population may benefit from individualization with the use of CAC.65,66,80 Raggi et al. evaluated 10,377 patients, 903 of whom had DM, and showed that 5-year survival was the same in patients with and without DM when CAC = 0.26 In the Prospective Evaluation of Diabetic Ischemic Disease by Computed Tomography (PREDICT) study, including 589 patients with DM and without CAD, higher CAC scores indicated greater risk of unfavorable cardiovascular outcomes.86 The use of CAC is recommended by the 2021 American Diabetes Association guidelines, starting at the age of 40.63

2.1.1.10.2. Family History of Premature CAD

Patients with a positive family history of premature CAD (event in a first-degree relative before the age of 55 in men or before the age of 65 in women) have a higher cardiovascular risk and are not usually included in the main clinical scores.

In the Coronary Artery Risk Development in Young Adults (CARDIA) study, including patients aged 32 to 46 years, CAC > 0 was not uncommon, especially in the presence of a risk factor.87 Furthermore, Miedema et al. showed that CAC may have prognostic value in young (< 40 years of age) low-risk patients.64

2.1.1.10.3. Young Patients

Another scenario in which the use of CAC can be considered is in young patients (especially under 40 years of age), supposedly at low cardiovascular risk according to traditional clinical scores. As age has a major impact on scores, the risk for young patients may be underestimated, below the threshold for recommending statin use. Two prospective studies of young patients (CARDIA87 study and Prospective Army Coronary Calcium [PACC]88 project), with mean ages of 40.3 and 42.9 years, respectively, showed that coronary calcium was associated with a 3- to 12-fold increased risk of coronary events compared with patients with zero CAC.

2.1.1.10.4. Familial Hypercholesterolemia (FH)

Even in populations with high baseline risk, such as those with FH, CAC scoring appears to help better discern cardiovascular risk. Miname et al., in a study of 206 patients with molecularly proven FH receiving statin therapy, with a mean residual low-density lipoprotein cholesterol (LDL-c) of 150 ± 56 mg/dL, showed that a zero CAC was associated with low risk of major cardiovascular events during a median follow-up of 4 years.67 The events occurred only in those with CAC > 0 (incidence of 2.6% and 4.4% per year in those with CAC 1-100 and CAC > 100, respectively). More recently, Gallo et al. found similar results in 1,624 patients with FH on lipid-lowering therapy with statins and/or ezetimibe (LDL-c under treatment, 170 mg/dL) followed for a median of 2.7 years, with event rates of 0.47%, 2.1%, and 14.2%, respectively, for CAC = 0, 1-100, and > 100 during follow-up.89 Likewise, Sandesara et al., in a study of patients from the MESA cohort who had LDL-c > 190 mg/dL (mean LDL-c, 215 ± 27 mg/dL), observed that individuals with zero CAC had fewer events (annual absolute incidence of events of 0.4%) than those with CAC > 100 (2% of events per year), after 14 years of follow-up.90

2.1.1.11. Comparison of the Use of CAC vs CCTA in Risk Stratification of Cardiovascular Events

With the advent of CT scanners with new technologies, imaging radiation dose decreased substantially, reaching a 78% reduction in the Prospective Multicenter Registry on RadiaTion Dose Estimates of Cardiac CT AngIOgraphy IN Daily Practice in 2017 (PROTECTION VI) study in relation to the original study,91 leading to proposals to extend the use of CCTA to asymptomatic populations. This aims to improve further cardiovascular risk stratification, since non-calcified plaques would become visible, in addition to small calcified plaques not detected in CAC, in which the spatial resolution proposed in the Agatston score (3 mm) is much lower than that of CCTA (0.5-0.625 mm). However, despite a lower threshold for detecting atherosclerosis, the results of the studies are controversial, either neutral or favorable to the new strategy,92,93 not showing clear superiority in risk stratification in the overall asymptomatic population. Senoner et al., in a study of 6,439 patients, showed that in those with zero CAC, even when only non-calcified plaques are found, the event rate continues to be low.94,95

2.1.1.12. Use in Clinical Guidelines

CAC has a class IIA indication in the American Guideline on the Management of Blood Cholesterol for patients at borderline and intermediate cardiovascular risk (calculated risk of death, myocardial infarction, and ischemic stroke at a 10-year ASCVD score of 5% to 7.5% and 7.5% to 19.9%, respectively), when clinical management is uncertain and has been incorporated into the clinical decision algorithm to individualize cardiovascular risk, with replication of this concept in the American Primary Prevention Guidelines.60,96

In the Brazilian Guidelines for Dyslipidemia and Atherosclerosis Prevention and for Cardiovascular Prevention,16,91 CAC use is recommended at moderate risk according to the Global Risk Score (5%-10% in women and 5%-20% in men). According to the U.S. guidelines, a CAC score > 100 Agatston units or > 75th percentile for age and sex indicates statin therapy to reduce LDL-c. A CAC score of 1-99 favors statin therapy (especially in people aged > 55 years). A CAC score of zero indicates low risk in the medium term, leaving the option of therapy to a shared decision between physician and patient, except in those with DM, smokers, and those with a family history of premature CAD, in whom statin therapy is recommended.18,54,60,96

2.1.1.13. Outstanding Issues and Perspectives

Cost-effectiveness analyses have not yet provided a definitive answer. These analyses are difficult to perform for any test, since many variables are involved and change depending on the location, testing and treatment costs, patient compliance, and intention to pay for it. An analysis in the U.S. scenario indicated CAC as cost-effective in male patients at intermediate risk according to clinical risk scores.97

Further studies are needed to determine whether risk stratification based on CAC improves clinical outcomes, although we know that they are not simple to perform and, to date, even much older methods used in cardiology have not been able to provide such information.

The visual measurement of coronary calcification, or even by the Agatston score in non-gated chest CT, appears to have a good correlation with values obtained with dedicated CT imaging, and its use is recommended by the Society of Cardiovascular Computed Tomography (SCCT), with a dedicated classification for this purpose, the CAC data and reporting system (CAC-DRS).98

Finally, the increasing use of artificial intelligence has accelerated the process, making it possible to read the results in seconds and integrate CAC information with other data obtained concomitantly, such as the quantification of epicardial adipose tissue to increase the power of predicting events (radiomics).99

2.1.2. Role of CAC Score in Risk Stratification Defined by Traditional Clinical Scores

As previously mentioned in this document, several scores are available for cardiovascular risk stratification. Despite some variations between cardiology societies and atherosclerosis prevention groups, individuals are usually classified into the following categories according to the intensity of their risk factors:

  1. Low risk: 10-year absolute event risk < 5%.

  2. Intermediate risk: 10-year absolute event risk of ≥ 5% to ≤ 20% in men and of ≥ 5% to ≤ 10% in women.

  3. High risk: 10-year absolute event risk > 20% in men and > 10% in women.

Recently, some international societies have introduced a borderline risk group: 10-year absolute event risk of 5% to < 7.5%.60

Despite their great utility, these scores have limitations mainly in predicting cardiovascular events in the intermediate risk category. In this context, the investigation of subclinical atherosclerosis using CAC can provide additional information for a better individual risk stratification.100

The representative MESA study evaluated the impact of CAC measurement on the prediction of coronary events in men and women of different ethnicities in the United States followed for approximately 4 years.54 Compared with patients with no coronary calcium, the risk of death or acute myocardial infarction (AMI), adjusted for other risk factors for CAD, was increased by 7.7 times for individuals with CAC scores between 101 and 300 Agatston units and 9.7 times for those with CAC scores > 300 Agatston units (p < 0.001 for both comparisons). Despite the differences in the prevalence of coronary calcification between different ethnic groups, CAC added prognostic accuracy to traditional risk factors in a similar way across these groups. In a subanalysis of the MESA cohort,101 after a follow-up of 58 years, in addition to improving discrimination (receiver operating characteristic [ROC] curve), CAC significantly improved risk reclassification rates. The impact was greater on those individuals previously considered to be at intermediate risk by the FRS: 16% were reclassified as high risk, while 39% were reclassified as low risk (net reclassification index [NRI] 0.55; 95% CI, 0.41-0.69; p < 0.001).

In another prospective study, the addition of CAC to traditional risk factors improved the prediction of cardiovascular events in relation to the FRS, increasing the area under the ROC curve (AUC) from 0.63 to 0.68 (p < 0.001). However, CAC did not significantly change prediction in individuals in the < 10% risk category of the FRS.28 An exception to this lower risk category would be individuals with a positive family history of premature CAD, whose association with high CAC (> 80th percentile) identified a group at higher risk who would potentially benefit from aggressive (vs conservative) lipid-lowering therapy, according to a subanalysis of the St. Francis Heart Study.102 In the high-risk category, low CAC does not adequately reclassify individuals to lower risk and, therefore, should not indicate a reduction in therapy aimed at these patients.28,101,103 Therefore, patients classified at intermediate risk by the FRS are those who benefit most from the addition of CAC due to the increased possibility of a correct reclassification, which could lead to changes in primary prevention goals.

2.1.2.1. Comparison of CAC Scoring with Other Cardiovascular Risk Stratification Methods

In recent years, several studies have been published comparing CAC vs other tools for subclinical atherosclerosis detection and prognostic assessment, such as the ankle-brachial index (ABI), carotid intima-media thickness (IMT), micro or macroalbuminuria, and high-sensitivity C-reactive protein (CRP).31,104

A subanalysis of the MESA study demonstrated that IMT is associated with the presence and progression of coronary calcification.105 Another substudy demonstrated that the FRS alone had an AUC of 0.77 for the prediction of cardiovascular events, FRS combined with IMT > 1.0 mm had an AUC of 0.78 (1.3 more cardiovascular events), and FRS combined with CAC > 0 had an AUC of 0.81 (2.1 times more cardiovascular events).106 Brook et al. compared the accuracy of CAC, IMT, CRP, and carotid plaque area for identifying obstructive CAD, defined as luminal stenosis of at least 50% on CCTA, and found that the AUCs for CAC and carotid plaque area were similar in predicting the presence of significant coronary atherosclerosis and superior to CRP and IMT.107

In the MESA study, Yeboah et al. directly compared the main risk markers regarding their accuracy in the prediction of cardiovascular events.31 A total of 1,330 patients without DM classified at intermediate risk by the FRS were followed for a median of 7.6 years, and the following markers for cardiovascular risk prediction were evaluated: CAC, carotid IMT, ABI, brachial artery flow-mediated dilation (FMD), CRP, and family history of premature CAD. Additionally, they sought to evaluate the correct reclassification of patients based on the results of these markers, according to the NRI. After follow-up, 94 patients (7.1%) had cardiac events (defined as myocardial infarction or angina followed by revascularization, resuscitated cardiac arrest, or CAD death) and 123 (9.2%) had cardiovascular events (CAD or stroke). The study observed that CAC, ABI, CRP, and family history were independent predictors of CAD risk, while IMT and brachial artery FMD showed no independent ability to predict CAD risk. Furthermore, CAC was the marker that most added to the FRS ability to predict cardiovascular events, as shown by improved AUC (0.623 vs 0.784), and was the marker that best further risk-stratified patients into higher or lower risk – 65% of patients were correctly reclassified into higher or lower risk, compared to 16% for family history, 10% for IMT, and 8% for CRP.

Therefore, CAC proves to be the most accurate subclinical atherosclerosis detection tool for refining risk stratification in asymptomatic patients.

2.1.3. Use of CAC Score to Support Pharmacotherapy Decision-making

The use of CAC is currently considered more appropriate for further stratification of asymptomatic individuals at intermediate cardiovascular risk. Based on this further risk stratification, information from CAC could assist in the shared decision not to initiate/discontinue more aggressive anti-atherosclerotic therapy with lipid-lowering drugs (in patients further stratified to low risk) or antiplatelet agents108 or to initiate/intensify anti-atherosclerotic therapy with lifestyle modifications, lipid-lowering drugs, and antiplatelet agents (in patients further stratified to high risk). There are no published randomized controlled trials comparing this CAC-guided strategy vs the strategy guided by usual risk stratification, which raises criticism against the use of the method. However, given the extensive evidence of CAC as an independent marker of cardiovascular risk and the recognized role of statins in reducing this risk, this approach is considered a plausible strategy and the use of CAC is suggested in several guidelines for the prevention and treatment of atherosclerosis when the indication of statins is unclear in certain risk categories.19,60,96

When the 2013 American College of Cardiology/American Heart Association (ACC/AHA) dyslipidemia treatment and atherosclerosis prevention guidelines (which already recommended the use of statins when the 10-year absolute risk of cardiovascular events [death, myocardial infarction, or stroke] was ≥ 7.5% and considered their use when the risk was 5% to < 7.5%) were applied to the MESA participants, Nasir et al. found that approximately 57% of individuals without DM in the borderline risk group (risk of 5% to < 7.5% by clinical score) had CAC = 0 and a very low 10-year event rate of 1.5% (statin not recommended), in contrast to those with CAC > 0, who had a 10-year event rate of 7.4% (statin considered).61 Likewise, individuals in the intermediate risk group (risk of 7.5% to 20% by clinical score) with CAC = 0 had a 10-year event rate of 4.6% (therefore, statin no longer recommended), whereas those with CAC > 0 had a rate of 10.4% (statin recommendation reinforced). Therefore, according to this analysis, more than 50% of individuals in the borderline and intermediate risk groups could be reclassified as low risk, being spared from long-term statin therapy and its associated costs and potential side effects. In other words, CAC would be able to significantly reduce the number needed to treat (NNT) to prevent a cardiovascular event in these groups of individuals, optimizing resources with the use of statins. Conversely, those with coronary calcification demonstrated by CAC could benefit from more aggressive anti-atherosclerotic therapy. Approximately half of the MESA Justification for the Use of Statins in Prevention: an Intervention Trial Evaluating Rosuvastatin (JUPITER) population109 had CAC scores of 0, despite high CRP, and had a low 5-year event rate, generating an NNT of 549 for treatment with rosuvastatin 20 mg to prevent a coronary event. However, most events (74%) occurred in the subgroup of individuals with CAC > 100 Agatston units. Considering treatment only for this subgroup, the NNT would be much more favorable: only 24 to prevent a coronary event.

In a retrospective study of military personnel from the U.S. Army's Walter Reed Medical Center,110 the impact of statin use stratified by CAC scores was evaluated in 13,644 participants, who were followed for a median of 9.4 years, after analysis adjusted for comorbidities. Statin therapy was associated with a lower risk of major cardiovascular events (AMI, stroke, and cardiovascular death) in individuals with CAC > 0 (adjusted subhazard ratio, 0.76; 95% CI, 0.60-0.95; p = 0.015), but not in participants without coronary calcification (adjusted subhazard ratio, 1.00; 95% CI, 0.79-1.27; p = 0.99). Furthermore, the impact of statin use on the reduction of events was related to the severity of coronary calcification, being greater with higher CAC scores. However, as it is a retrospective study and not a randomized controlled trial, it has several limitations and cannot provide definitive evidence of the use of CAC as a guide to lipid-lowering therapy.

The Dutch Risk or Benefit in Screening for Cardiovascular Disease (ROBINSCA) trial,97 is the first randomized trial to compare a CAC-guided risk stratification and treatment strategy vs clinical stratification-guided strategy. The study investigated the impact on coronary event reduction of 2 screening strategies as a guide to anti-atherosclerotic therapy: assessment of the CAC score followed by treatment according to local guidelines for patients with CAC > 100 Agatston units vs assessment with a clinical score (Systemic COronary Risk Evaluation [SCORE]) followed by treatment for patients with a score > 10%. The use of CAC significantly reduced the number of individuals indicated for preventive treatment compared to SCORE (relative reduction women: 37.2%; men: 28.8%).

Table 2 presents the recommendations for the use of CAC scoring in different clinical scenarios.

Table 2
Recommendations for the use of the coronary artery calcium score according to different clinical scenarios

2.2. CCTA in Suspected Stable Angina without Known CAD

2.2.1. As a First-choice Option in the Assessment of Non-acute Chest Pain

Several societies have recently published documents on the optimal approach to investigate chest pain, particularly in cases where cardiac origin and/or CAD are suspected.8,21 American, European, and Brazilian societies currently recommend that pretest probability be determined for the presence of obstructive CAD and that a recommendation for subsequent investigation be made according to this probability.

There are several pretest probability scores, but agreement between them is not always substantial.

Despite the differences, international guidelines consider that the definition of pretest probability should take into account the symptoms, sex, and age of patients. This Guideline recommends that, in patients with a pretest probability above 10%,111 in the absence of another clear etiological diagnosis, both the presence of obstructive CAD and subsequent investigation should be considered.

How to investigate the presence of CAD in these cases will depend on the presence of previous CAD. Cases of documented previous obstructive CAD are covered elsewhere in this document, and in this session, we will discuss management in individuals without known previous obstructive CAD. In these cases, according to the guidelines, provocative testing for ischemia, such as exercise ECG, stress echocardiography, and nuclear stress testing or stress cardiac MRI, can be considered in the same way that the investigation can be conducted with noninvasive anatomic assessment using CCTA. To make an individualized decision about which diagnostic method to use, the local experience of those who work with the methods should be considered, as well as the availability and affordability of the method.

For a complete assessment of CCTA performance in the workup of obstructive CAD, the following should be considered:

  1. Diagnostic accuracy of CCTA for identifying obstructive CAD in different populations.

  2. Prognostic value of CCTA findings.

  3. Efficacy studies of CCTA vs other methods for the workup of CAD.

  4. Cost-effectiveness of different CAD workup strategies.

2.2.1.1. Diagnostic Accuracy

Since the publication of the Coronary Artery Evaluation using 64-row Multidetector Computed Tomography Angiography (CORE64) study in 2008, several studies have demonstrated the high diagnostic accuracy of CCTA compared with invasive coronary angiography.112 More recently, a meta-analysis including more than 5,000 individuals demonstrated that CCTA has a sensitivity of approximately 95% and a specificity of approximately 79%.113

2.2.1.2. Prognostic Value

Several studies have demonstrated the prognostic value of CCTA findings.120122 These studies have demonstrated that the presence of obstructive or nonobstructive plaques is a predictor of events, as well as the presence of higher risk characteristics in plaques detected by CT and the extent of CAD defined by the number of segments with atherosclerotic plaques on CTA.

2.2.1.2.1. Efficacy Studies of CCTA vs Other Diagnostic Methods for the Investigation of Obstructive CAD

At least 2 large randomized studies have evaluated the use of CCTA in the investigation of non-acute CAD. In the PROMISE study (discussed earlier),23 assessment by CCTA was not superior to assessment by provocative testing for ischemia. The SCOT-HEART trial, including approximately 4,000 participants randomized to either the usual assessment with exercise ECG or the addition of CCTA to standard care, showed an approximately 40% reduction in the myocardial infarction rate over the course of 5 years.38 Also, there was no persistent increase in the use of invasive coronary angiography or revascularization in the CTA group.

In a meta-analysis of 4 studies with this design, as well as in a large retrospective study conducted in Denmark, a finding close to the result identified in the SCOT-HEART trial was demonstrated, with a significant reduction in myocardial infarction, but no difference in mortality, with the use of CCTA.123,124

In summary, these studies suggest that, for the population of patients without previous CAD, initial investigation with CCTA results in a lower rate of subsequent myocardial infarction. However, none of the studies robustly evaluated subgroups to identify in which populations there is a greater or lesser benefit from this strategy.

2.2.1.2.2. Cost-effectiveness Studies

To date, cost-effectiveness data for the use of CCTA in the Brazilian setting are limited. Nevertheless, a recent Brazilian study concluded that the inclusion of CTA in the list of the Brazilian Unified Health System's diagnostic arsenal would represent a cost-effective strategy in most of the scenarios evaluated.125 Although previous studies suggest that the initial strategy with CCTA followed by investigation with provocative testing for ischemia in cases of abnormal CT findings is the most cost-effective strategy for settings in the United States and the Netherlands, it is not possible to state that the same would occur when modeling the data for the Brazilian setting.125,126 However, based on the currently available data, CCTA appears to be at least as cost-effective as other strategies used in the investigation of non-acute CAD.

2.2.2. In Low-risk Patients with a Positive Functional Test

CCTA may be ordered in the initial investigation of patients with suspected CAD or in those with a previous functional test for ischemia. In the latter scenario, patients with previous inconclusive, conflicting, or clinically discordant functional test results may benefit from the correct indication of CCTA.2,3,8,25,127129

In a study by Abidov et al., 199 patients with prior stress tests underwent CCTA for CAD and were followed for at least 2 years.127 In patients with positive stress tests, CCTA showed stenosis > 50% in only 19% of patients. Of the 199 patients, 63% had an indication for coronary angiography before CCTA. After CCTA, coronary angiography was performed in only 16% of patients during the 2-year follow-up. Such findings highlight the important diagnostic and prognostic value in this population with a previous functional test for ischemia.

Another validated indication for CCTA is its use as an alternative to invasive coronary angiography in patients with suspected stable CAD and intermediate pretest probability of CAD, both due to clinical symptoms and abnormal results of other cardiac tests, such as functional tests for ischemia.

In the international multicenter Coronary Computed Tomographic Angiography for Selective Cardiac Catheterization (CONSERVE) trial,128 1,631 patients were randomized to invasive coronary angiography or CCTA (selective strategy), with a 1-year follow-up, and the same number of cardiovascular events (4.6%) was observed in both groups. In the selective strategy group, only 23% of patients underwent coronary angiography during follow-up (77% reduction), with a reduction in the use of coronary angiography without obstructive stenosis (24.6% vs 61.1%), reduction in revascularization (13% vs 18%), and total diagnostic cost savings (57%) in favor of the CCTA group.

In the Diagnostic Imaging Strategies for Patients with Stable Chest Pain and Intermediate Risk of Coronary Artery Disease (DISCHARGE) trial,129 3,561 patients with stable chest pain were randomized to invasive coronary angiography or CCTA in 26 European centers with a follow-up of 3.5 years. The CCTA group had the same number of patients with obstructive CAD as the coronary angiography group (25.7% in each group) and a similar number of cardiovascular events during follow-up (2.1% vs 3.0%), even performing coronary angiography in only 22% of patients (78% reduction). However, the CCTA group had a significant reduction in major procedure-related complications (0.5% vs 1.9%), reduction in the use of coronary angiography without obstructive stenosis (27.5% vs 74.3%), and reduction in revascularization (14.2% vs 18.0%).129

Table 3 presents the recommendations for the use of CCTA in the investigation of stable CAD.

Table 3
Recommendations for the use of coronary computed tomography angiography in the assessment of stable CAD

2.3. In the Investigation of Ischemic Etiology of HF

In patients with ventricular dysfunction of unknown origin, it is necessary to exclude significant CAD, especially in those with risk factors and/or symptoms suggestive of coronary insufficiency.138 Invasive coronary angiography is the reference method for the diagnosis of significant coronary obstruction in this clinical setting.139,140 However, CCTA has proven to be very useful in this scenario, with high sensitivity and global negative predictive value for detecting luminal stenosis.112,132

In patients with HF, studies have demonstrated that CCTA has a sensitivity of 73%-98%, specificity of 99%-100%, positive predictive value of 92%-99%, and negative predictive value of 97%-100% for detection of obstructive CAD.141143 In an analysis of 96 patients, with a CAD prevalence of 46%, CCTA correctly identified 90% of patients with ischemic etiology and 97% of patients with nonobstructive coronary lesions.142 Chow et al., in an international, multicenter, randomized trial, evaluated the cost-effectiveness of CCTA vs invasive coronary angiography in 246 patients with new-onset HF and found no statistically significant difference in clinical outcomes or costs between the 2 strategies.144

Therefore, the use of CCTA to help differentiate between ischemic and non-ischemic heart disease in patients with HF of unknown etiology is considered appropriate, especially in those with a low-to-intermediate pretest probability of obstructive CAD (Table 4).25,138,145

Table 4
Recommendation for the use of coronary computed tomography angiography to assist in the etiological assessment of heart failure

2.4. CCTA in Suspected Stable Angina with Known CAD

2.4.1. Patients with Stents

The metal structures of the stent mesh can generate image artifacts on CCTA, hindering the analysis of the coronary lumen. These artifacts are more common in small-caliber stents (< 2.5 to 3.0 mm), in stents apposed to densely calcified plaques, and in stents with a mesh thicker than 100 μm.146 For this reason, functional tests are preferably the first option in patients with stents and suspected obstructive CAD.147 However, CCTA is not contraindicated in these patients and can be performed with good accuracy using specific image filters and optimized protocols, with special attention to heart rate control during imaging to minimize motion artifacts. A recent meta-analysis including 2,656 patients and using ≥ 64-slice MDCT scanners (4 cm or more coverage) analyzed 4,131 stents individually for the presence of potentially flow-limiting coronary lesions (stenosis ≥ 50%).148 The data suggest that CCTA is accurate for the evaluation of stents, especially considering new generation CT scanners. Finally, functional data derived from stress CT-MPI may increase the diagnostic accuracy of CCTA in patients with stents.149

2.4.2. Revascularized Patients

In a meta-analysis evaluating 2,482 grafts, the sensitivity and specificity of CCTA using 64-slice MDCT scanners for any stenosis > 50% were 0.98 (95% CI, 0.97-0.99) and 0.98 (95% CI, 0.96-0.98), respectively, with an AUC of 0.99. Neither patient age nor the interval between grafting and imaging had any effect on sensitivity or specificity for detecting significant stenosis or occlusion. There was also no difference in accuracy between arterial and venous grafts.150 When evaluating grafts, these results can potentially improve with the use of more modern CT scanners.151 Conversely, native coronary arteries can be difficult to assess given the presence of severe atheromatous disease, sometimes with a large amount of calcium deposits, reducing the specificity of the method.152

Therefore, if the clinical interest is to assess graft patency, CCTA is validated and appropriate.3 If the interest is to assess native coronary arteries, CCTA may pose major limitations, and the use of functional testing should be considered. It should be noted the ability of CCTA to identify unprotected coronary territories and to estimate their extent. Given that a larger number of unprotected coronary territories is associated with a worse prognosis, the information provided by CCTA is of great relevance in the management of these patients.153

Table 5 presents the recommendations for the use of CCTA in patients with previous (percutaneous or surgical) revascularization.

Table 5
Recommendations for the use of coronary computed tomography angiography in the assessment of coronary artery disease in revascularized patients

2.5. Follow-up of Patients with CAD Receiving Medical Therapy

CCTA is a noninvasive method to assess the arteries that nourish the myocardium which allows the analysis of vessel lumen and walls, and more recently also the study of atheroma characteristics that may eventually compromise these vessels.158 Since the beginning of clinical application of this method, it has stood out for its high negative predictive power, proving to be effective in safely ruling out the presence of obstructive CAD.132,159 However, as technology and experience with CCTA have increased, there has been an increase in positive predictive power, which can be even higher if noninvasive analysis of FFRCT is used, increasing its potential for clinical use.158,160 In addition to the publications reporting its potential contributions, studies have emerged showing that CCTA can improve the evaluation of patients with suspected CAD, and, therefore, there is currently evidence to guide the use of this technique in this subgroup of patients, which is the topic covered in this section.158,160

In low-risk patients, CCTA can help manage the case, identify patients with coronary atheromatosis, even if not calcified, and define the atherosclerotic burden of noninvasive plaques, an element that grows in prognostic power, especially in cases in which there was no prior investigation to confirm the diagnosis of CAD.38,121 Conversely, the absence of atheroma plaques represents an important good prognostic factor, and, even in the PROMISE study, the event rate in patients with nonobstructive coronary lesions was lower than in those with normal functional test results (adjusted odds ratio [OR], 0.38; 95% CI, 0.18-0.79; p = 0.01).

In cases of intermediate and intermediate-to-high risk, CCTA achieves its best results.21,38 CCTA is very effective in determining the absence or presence of CAD, defining whether or not there is significant disease in the left main coronary artery, providing total atherosclerotic burden and non-calcified plaque burden, and enabling plaque analysis.121,158,160,161 CCTA has high sensitivity, and its suitability to exclude the presence of obstructive disease in the epicardial coronary arteries is an important part of its indications. Likewise, when there is coronary atheromatosis on CCTA, intensive clinical management is indicated, as this will result in better prognosis and reduction of events. As a result, CCTA has assumed the role of initial imaging method to assess the presence or absence of obstructive lesions in patients at intermediate and intermediate-to-high pretest risk in clinical practice. Some studies have demonstrated that, in this scenario, CCTA is effective in studying the coronary artery anatomy, is cost-effective in relation to invasive coronary angiography, and has the same rate of late adverse events.128 It is important to note that, even in cases where the diagnosis of ischemia is not confirmed, the presence of atherosclerosis is a stand-alone predictor of events, even when it is not considered significant.38,160,161 The accuracy of CCTA has also been confirmed in more recent studies, and, for these reasons, it is now recommended for the initial evaluation of symptomatic patients in the United Kingdom.160,162,163 Conversely, the presence of stenosis on CT alone cannot be used to indicate revascularization, as this strategy has not been shown to be effective in reducing events. However, it is important to analyze each case individually, considering, in addition to the presence or absence of atheroma plaques, clinical and functional elements and the possibility or impossibility of controlling symptoms with clinical treatment.38,158,160,161 Some authors point out that the CCTA specificity is much lower than its sensitivity, which would therefore be a limitation of the method. If, on the one hand, some studies confirm this analysis, on the other hand, the combination with functional testing may allow the adoption of more appropriate approaches, and the introduction of FFRCT analysis into clinical practice may result in CCTA assuming an even greater role in the management of patients with stable angina.158,160 CT-MPI can be performed and had its effectiveness confirmed in the CORE320 study, which demonstrated that the combination of anatomic and functional analysis using CT made it possible to safely manage patients with CAD, without increasing major risks for patients.4 In practice, this approach is limited by requiring 2 contrast injections and by requiring a higher dose of ionizing radiation for image acquisition.160 The analysis of FFRCT, in turn, has aroused great interest and allows, from a single acquisition, the evaluation of anatomy and functional data.160 Its utility has been confirmed in randomized studies and in a recent meta-analysis, where its greatest practical limitation was the lack of widespread availability and high cost.158,160,164 Protocols are being developed in an attempt to estimate FFR results using machine learning and artificial intelligence technologies, but they are not yet available for clinical use.

The publication of the Objective Randomised Blinded Investigation with optimal medical Therapy of Angioplasty in stable angina (ORBITA) trial and the ISCHEMIA trial requires us to make a particular analysis of the role of functional data obtained by any type of technology, including CT, and encourages their use in the initial clinical management of a large proportion of patients with stable angina. It is noteworthy, however, that the anatomic data provided by CCTA, especially the diagnosis or exclusion of left main coronary artery lesions, are essential both to define the need for clinical treatment and to identify which cases can benefit from interventional treatment. For this purpose, it is also reasonable to speculate that the functional data deriving from FFRCT analysis may also be very useful in identifying which patients may benefit from revascularization procedures.158,160,161,165

Among the data provided by CT in patients with stable angina, the analysis of atheroma plaque characteristics has been gaining popularity. Pioneering works have sparked interest in these characteristics, and subanalyses of the ISCHEMIA trial, SCOT-HEART trial, and the Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicenter Registry (CONFIRM) registry have demonstrated that the presence of non-calcified plaques, with signs of positive remodeling, heterogeneous attenuation, including the napkin-ring sign and areas of punctate calcification, imply a worse prognosis. Such results encourage the inclusion of these data into CT analysis and have led to the development of scores such as the CT-Leaman and Leiden scores, which incorporate this information alongside data such as lesion location and degree of obstruction (> 50% or < 50 %), which help determine the patient's risk.160,161,166 However, total atherosclerotic burden deserves special attention, as, when elevated, it suggests a more serious prognosis even in patients without stenosis that reduces the vessel lumen by more than 50%.121,158,160 Even in stable patients, this index has prognostic value and has been incorporated into some scores that are currently available in clinical practice.

Recently, the SYNTAX III REVOLUTION trial demonstrated that CCTA can also help to define which patients will be the best candidates for percutaneous or surgical treatment, suggesting that the inclusion of FFRCT analysis is essential for this purpose. If future studies confirm these findings, the role of CCTA can become even more important.160,167

Finally, if symptoms return after revascularization, whether with stent implantation or surgical treatment, CCTA can also be used to clarify symptoms. Its effectiveness is confirmed for the assessment of grafts and even native vessels in patients undergoing surgical treatment. When analyzing stents, the results are superior for stents greater than 3.0 mm in diameter not located in highly calcified arterial segments. However, CCTA can yield good results in selected cases in which high-quality images are obtained.150,158,167

2.6. CCTA in the Evaluation of Other CAD-related Scenarios

Although the primary role of CCTA is the direct workup of CAD, this modality allows the assessment of different parameters related to left ventricular (LV) function and pathologic involvement of the myocardium. In this context, it is important to highlight that, as a diagnostic modality that uses ionizing radiation and contrast agents with nephrotoxic potential, its use in assessments that can be performed by other methods (for example, assessment of LV function by echocardiography or assessment of myocardial viability by MRI) makes CT an exception resource, to be used in the unavailability of other methods or their limited image quality.

Table 6 presents the recommendations for using CCTA in other CAD-related scenarios.

Table 6
Recommendations for the use of coronary computed tomography angiography in the evaluation of other scenarios related to coronary artery disease

2.7. Coronary Artery Anomalies

Coronary artery anomalies (CAAs) are common congenital heart abnormalities,175 often underdiagnosed and unknown by patients, mainly because most of them do not have clinical repercussions. However, it is known that some patients may experience sudden cardiac death, ischemic events, and HF resulting from some coronary artery variants.176

Therefore, imaging methods should not only confirm or rule out the diagnosis but also assess any associated risks.176,177

Goal-directed transthoracic echocardiography (TTE) can be used as an initial screening method, especially for anomalies of origin, as long as it is conducted in a goal-directed manner and by experienced operators.176,178

In the event of any abnormalities or in cases of high clinical suspicion, it is recommended to continue investigation with another noninvasive method that can assess the entire coronary vessel and possible repercussions, characterized here mainly by CCTA179 and CMR.175184 Although there are not many studies directly comparing CMR and CCTA, the latter method is usually preferred for this assessment, as it offers better temporal and spatial resolution, especially in the case of higher heart rates (which are common in pediatric patients) and due to greater availability and experience with the method.

Several authors show a preference for CCTA as the gold standard for the assessment of CAAs in their studies. It is also known that the use of 3-dimensional (3D) reconstructions is useful in preoperative assessment and has been preferred by several surgeons and clinicians, making CCTA a more attractive method.

CCTA has also been demonstrated to indicate prognostic factors related to CAAs, assisting in clinical decision-making for interventions according to individual patient risk.175177,179,180,182184 It is worth noting that MRI can provide important functional information, as well as characterize possible ischemic repercussions or repercussions on cardiac function, and can be used as a complementary modality.175,176,184

Table 7 presents CCTA recommendation for CAA investigation.

Table 7
Recommendation for the use of coronary computed tomography angiography in suspected coronary artery anomalies

2.8. CCTA in Suspected Acute Chest Pain

Acute chest pain is one of the most frequent complaints in emergency care, accounting for up to 10% of non-trauma-related visits and up to 40% of causes of hospital admission. However, only 25% of these patients are diagnosed with acute CAD or another significant cardiac problem at the end of their hospital stay, leading to a large volume of unnecessary hospitalizations at a high cost.

To optimize emergency care, the use of CCTA is well established in the literature. As demonstrated in several studies, the method has excellent accuracy for the diagnosis of stenosis in patients with low-to-moderate cardiovascular risk, with emphasis on its high negative predictive value (Table 8).112,131,132,188

Table 8
Summary of multicenter clinical trials on the accuracy of coronary computed tomography angiography in detecting coronary stenosis (> 50% luminal narrowing) in low-to-intermediate-risk patients without a previous diagnosis of coronary artery disease

The use of CCTA in the assessment of acute chest pain has been safely evaluated in several studies regarding stratification, cost reduction, and reduction of in-hospital stay. Prospective randomized controlled trials have evaluated its use in the context of chest pain in the emergency department in low-to-intermediate-risk patients associated with the use of negative conventional troponin.191 We highlight 3 studies.

The first is the multicenter Coronary Computed Tomographic Angiography for Systematic Triage of Acute Chest Pain Patients to Treatment (CT-STAT) trial, which randomized 699 patients with low-risk chest pain to stratification strategies using CCTA or stress-rest myocardial scintigraphy.192 The CCTA strategy reduced the time to diagnosis by 54% and hospitalization costs by 38%, with no difference in the rate of adverse events compared with the scintigraphy strategy.

The second is the multicenter Angiography for Safe Discharge of Patients with Possible Acute Coronary Syndromes (ACRIN-PA) trial, whose primary objective was to evaluate the safety of using CCTA in the evaluation of low-to-intermediate-risk patients with chest pain (thrombolysis in myocardial infarction risk score of 0 to 2) compared with traditional care.193 None of the patients with normal findings on CCTA showed the primary outcome (cardiac death or myocardial infarction within 30 days of admission). Additionally, patients in the CCTA group were more likely to be discharged from the emergency department (49.6% vs 22.7%) and had a shorter length of stay (18.0 vs 24.8 hours; p < 0.0001), with no difference in the rate of revascularization or catheterization.

The third is the Rule Out Myocardial Ischemia/Infarction Using Computer Assisted Tomography (ROMICAT II) trial, which evaluated, in similar groups of patients, length of stay in the emergency department and hospital costs.194 The study included 1,000 patients, with a mean age of 54 years, and found that length of hospital stay was significantly shorter in the CCTA group than in the standard evaluation group (23.2 ± 37.0 vs 30.8 ± 28.0 hours; p = 0.0002). Time to exclusion of the diagnosis of acute coronary syndrome (ACS) was also shorter in the CCTA group (17.2 ± 24.6 vs 27.2 ± 19.5 hours; p < 0.0001). There were no differences between the groups regarding safety end points. In the CCTA group, there was a significant increase in the rate of patients discharged directly from the emergency department (46.7% vs 12.4%; p = 0.001). Overall costs were very similar between the 2 groups due to the shorter hospital stay (p = 0.65).

In summary, the use of CCTA is a safe strategy in the evaluation of low-to-intermediate-risk patients with acute chest pain (with non-diagnostic ECG and negative myocardial necrosis markers [non-high sensitivity]), reducing rates and length of hospital stay, and, probably, costs. In this scenario, the indication for the use of CCTA is classified as Class I, with Level of Evidence A.

The use of CCTA in the emergency department in patients with chest pain associated with conventional troponin elevation was evaluated in the Rapid Assessment of Potential Ischaemic Heart Disease with Computerised Tomography Coronary Angiography (RAPID-CTCA) trial,195 which tested the strategy of using CCTA vs standard care in patients with a diagnosis of ACS without ST-segment elevation (with conventional troponin elevation). Data from this study show that the CCTA strategy did not reduce the proposed primary outcome (1-year all-cause mortality or type 1 or type 4b myocardial infarction at 1 year), with an incidence of 5.8% for CCTA vs 6.1% for standard care (p = 0.65) or revascularization (OR, 1.03; 95% CI, 0.87-1.21). However, it reduced the rate of catheterization (OR, 0.81; 95% CI, 0.72-0.92) at the expense of a slight increase in hospital stay (from 2.0 to 2.2 days).

The use of high-sensitivity troponin (hs-Tn) has gained ground in emergency departments as it provides safety for hospital discharge when negative. Few studies have evaluated the use of CCTA in this context. The multicenter, randomized Better Evaluation of Acute Chest Pain with Coronary Computed Tomography Angiography (BEACON) trial evaluated the use of CCTA in the emergency department in low-to-intermediate-risk patients who, after negative hs-Tn, were randomized to receive CCTA or standard optimal care in the emergency department, with the primary objective of evaluating the number of patients requiring revascularization within 30 days. The use of CCTA in this setting resulted in no difference in the number of patients requiring revascularization, incidence of undetected ACS, or rate of direct discharge from the emergency department (65% vs 59%; p = 0.16), with similar length of stay in both groups (6.3 hours). However, the use of CCTA reduced medical costs (€337 vs €511; p < 0.01) and outpatient testing after the index emergency department visit (4% vs 10%; p < 0.01).196

Therefore, CCTA applied early in the workup of suspected ACS in the emergency department is safe and associated with less outpatient testing and lower costs due to the reduced need for additional workup in the outpatient setting. However, in patients with negative hs-Tn, CCTA did not identify more patients with significant CAD requiring coronary revascularization, shorten hospital stay, or allow for more direct discharge from the emergency department compared with standard optimal care. The Troponin in Acute Chest Pain to Risk Stratify and Guide EffecTive Use of Computed Tomography Coronary Angiography (TARGET-CTCA) trial (NCT03952351) is underway to evaluate whether early treatment of CT-identified CAD in patients with intermediate hs-Tn elevation has an impact on the prevention of future events 36 months after discharge.

Some studies have evaluated the use of CCTA in the setting of elevated hs-Tn levels. The CARdiovascular Magnetic rEsoNance imaging and computed Tomography Angiography (CARMENTA) trial197 demonstrated that the use of CCTA or CMR before catheterization is safe compared with routine care to select patients with positive hs-Tn for catheterization, without an increase in cardiovascular events. Therefore, the use of CCTA in patients with hs-Tn elevation to intermediate levels (study median of 78 ng/mL) and without high-risk indicators safely reduced the need for catheterization compared with routine care (OR 0.66; p < 0.001), with no increase in cardiovascular events after 1 year of follow-up (p = 0.265).

Studies have attempted to evaluate the use of CAC to predict coronary stenosis in the emergency department. A subanalysis of the CORE64 study198 showed low negative predictive value (0.62), with up to 39% of high-risk patients with ACS having CAC = 0 and 46% having CAC < 100 Agatston units. Therefore, CAC in the emergency department to predict significant coronary lesions should not be used in light of current studies.

2.8.1. Triple Rule-out (CAPTURE Study)

CCTA can also be used in the emergency department for the differential diagnosis of ACS. Using specific imaging protocols, information can be obtained on the coronary arteries, aorta, and pulmonary arteries, allowing the assessment of acute aortic syndrome (AAS) and pulmonary embolism (PE), in addition to the analysis of other thoracic abnormalities (eg, pneumonia, trauma).199204 This approach is called triple rule-out. The triple rule-out protocol includes in the analyzed field of view not only the coronary arteries but also the entire thoracic aorta and the pulmonary arteries, requiring a greater amount of iodinated contrast material, as well as an increase in the total radiation dose for imaging. However, even with optimized techniques, the imaging protocol for triple rule-out is less efficient than individual protocols for the assessment of the coronary arteries, aorta, and pulmonary arteries. Therefore, triple rule-out protocols should only be used in specific situations, in which clinical evaluation is unable to guide the diagnosis.

Table 9 presents the recommendations for the use of CCTA in the investigation of potential ACS.

Table 9
Recommendations for the use of coronary computed tomography angiography in suspected acute coronary syndrome (ACS)

2.9. CCTA in Preoperative Assessment

Preoperative assessment of cardiac and noncardiac surgery has well-established literature, with criteria defined by several medical societies.207210 The algorithm may include CCTA as one of the modalities that can provide additional information.207 The presence and extent of CAD are the main information to be provided.

In cardiac surgery, several studies have demonstrated the potential of CCTA as an alternative to the gold standard (coronary angiography), highlighting its high negative predictive value.160,163 Additionally, functional assessment (by FFRCT) has been incorporated into the anatomic study as a robust diagnostic improvement, increasing the potential information to be obtained from imaging. The Safety and Feasibility Evaluation of Planning and Execution of Surgical Revascularization Solely Based on Coronary CTA and FFRCT in Patients With Complex Coronary Artery Disease (FASTTRACK CABG) study, analyzed the results of the strategy and planning of myocardial revascularization based only on anatomy and functional assessment by CT. The primary safety outcome, defined as graft patency at 30 days, demonstrated anastomotic patency of 92.6%, with an incidence of major cardiovascular events of 7.2% and a major bleeding rate of 2.7%. These encouraging data expand the potential of coronary CT angiography as a sufficient tool for planning surgical myocardial revascularization.211 The workup of CAD using CCTA in patients with an indication for valve surgery may be considered in cases with low or intermediate probability, while coronary angiography should be indicated in positive or doubtful cases.212

The low risk of CCTA associated with its high diagnostic accuracy compared with coronary angiography should not mean that its use is understood as the method of choice in the noninvasive stratification of candidates for noncardiac surgery. Therefore, there is currently no evidence to support the indication of its routine use in preoperative coronary assessment.2,25

Tables 10 and 11 present recommendations for the use of CCTA in the preoperative assessment of patients referred for cardiac and noncardiac surgery.

Table 10
Recommendations for the use of coronary computed tomography angiography in the preoperative assessment of noncardiac surgery
Table 11
Recommendations for the use of coronary computed tomography angiography in the preoperative assessment of non-coronary cardiac surgery

2.10. Valvular Heart Disease Assessment by CCTA

The initial assessment of valvular heart disease is performed using echocardiography, a widely available test that does not use ionizing radiation. However, in patients with inadequate or unreliable images using this method, targeted CCTA imaging may be an alternative to assess the morphology and function of heart valves and prosthetic valves, as well as cardiac chamber dimensions and associated ventricular functions.25,168,219225

CCTA for the assessment of valvular heart disease should be directed toward clinical doubt and programmed differently for each heart valve with the aim of acquiring images with adequate contrast in the cardiac chambers of interest (right vs left) and adjusting the modulation of the radiation dose in the specific phases of the R-R interval to obtain diagnostic images for measurement of valve opening area (stenosis grading) and regurgitant orifice area (insufficiency grading). CCTA imaging is best performed and interpreted by specialists with experience in this setting.

Table 12 presents the recommendations for the use of CT in the assessment of heart valves.

Table 12
Recommendations for the use of computed tomography in the assessment of valvular heart disease

2.11. Preoperative Assessment in Percutaneous Aortic Valve Implantation (TAVI/ViV)

Severe aortic stenosis affects 2.9% of older people aged 75 to 86 years.226 Randomized clinical trials227229 have demonstrated that transcatheter aortic valve implantation (TAVI) in patients with severe aortic stenosis is feasible, safe, and associated with superior cardiovascular outcomes compared with surgical valve replacement in the high-surgical-risk population. In Brazil, TAVI has grown substantially in the number of implants per year,230 reaching 1,400 implants in 2018.

The selection of patients who are candidates for TAVI, the choice of type (balloon or self-expanding) and size of the valve, and access should be evaluated by a team consisting of a clinical cardiologist, an interventional cardiologist, a cardiac surgeon, an echocardiographer, and a cardiac imaging specialist – the so-called "heart team." In this context, CT of the aortic valve complex, heart, total aortic arch, and iliac and common femoral arteries is essential for optimal decision-making.

The best image acquisition and reconstruction techniques, as well as the measures necessary for TAVI planning, have already been described in recommendations from international cardiovascular imaging societies.9 Assessment of the aortic valve complex necessarily includes measurements of the aortic annulus (long and short axes, area, and perimeter) during systole, since these measurements vary throughout the cardiac cycle and valve size selection based on measurements during diastole may result in undersizing231 and consequent paravalvular leak, which is related to higher mortality.232 Valve size selection based on CT measurements is associated with a lower incidence of paravalvular leak than selection based on assessment by 2D echocardiography.233

The coronary artery ostia height is also essential, given the risk of obstruction by the device in patients with a left coronary artery height < 10 mm or a right coronary artery height < 12 mm in relation to the aortic annulus plane.234 In patients who are candidates for valve-in-valve (ViV) implantation, CT can also anticipate the position of the new valve in relation to the coronary ostia, which are often closer to the annulus plane of the dysfunctional valve, and identify patients at increased risk of coronary occlusion.235

The extent of aortic valve calcification into the LV outflow tract (LVOT) is another important parameter in the evaluation of candidates for TAVI. Patients with significant calcification located in this topography have an increased risk of rupture during the procedure, a complication associated with a high mortality rate.236

Perimembranous ventricular septal defect < 8 mm is associated with an increased rate of advanced atrioventricular block and need for permanent pacemaker, and it can be easily assessed by CT. CT assessment should also include prediction of the best fluoroscopic projection angle during the procedure, potentially reducing the total contrast volume required for implantation.

The assessment of coronary anatomy in TAVI candidates is often hampered by several factors: clinical conditions that make apnea difficult, impossibility of controlling heart rate with beta-blockers, contraindication to the use of vasodilators, and severe vessel calcification. However, in studies with good image quality, the negative predictive value for detecting significant obstructive lesions remains high.237 In this scenario, performing CCTA concomitantly with pre-TAVI planning by CT has a Class of Recommendation IIa, with Level of Evidence B (Table 13).

Table 13
Recommendations for the use of computed tomography in planning percutaneous aortic valve implantation/replacement (TAVI/TAVR)

Finally, CT also provides essential information for the evaluation and choice of access routes for implantation: characterization of the aorta, iliac arteries, and common femoral arteries regarding the presence of atheromatosis and degree of obstruction (if present), minimum luminal diameter, tortuosity, and presence of circumferential calcification. Peripheral artery disease is quite prevalent among TAVI candidates,238 and CT assessment is superior to invasive assessment in predicting procedure-related vascular complications.239 In patients in whom transfemoral access is not feasible, CT allows assessment of the LV apex for the presence of thrombi, calcification, and/or thinning that contraindicate the transapical approach. The ascending aorta should also be assessed for the presence, extent, and location of parietal calcifications for transaortic access.

Because CT is essential in TAVI planning, it should be used in candidates for the procedure. Table 13 presents the main recommendations for CT use in TAVI planning.

2.12. Percutaneous Planning of Other Structural Changes

Major advances in the percutaneous treatment of valvular heart diseases have made it possible to address valve diseases other than aortic stenosis, with a large number of prosthetic valves specific to each valve disease, some validated in clinical practice and with a lower procedure-related risk than corrective cardiac surgery.

In some scenarios, cardiac CTA combined with other CTAs is essential for optimal procedure planning and indication and can assist in valve size selection, in addition to predicting the risk of complications that may prevent the procedure.258267Table 14 presents the recommendations for the use of CT to support a percutaneous approach to other structural heart diseases.

Table 14
Recommendations for the use of cardiac computed tomography angiography (CTA) in planning percutaneous interventions for other structural heart diseases

2.13. Assessment of Cardiac Veins, Left Atrium, and Pulmonary Veins (Including Planning for Atrial Fibrillation Ablation/Atrial Appendage Occlusion)

It is important to adequately characterize cardiac and vascular anatomy to assist both in the planning of electrophysiological procedures and in the control and monitoring of possible complications, especially in pulmonary vein ablation for the treatment of atrial fibrillation (AF). CTA is an excellent tool for determining vascular anatomy because it is a fast imaging method that provides images with a wide field of view, high spatial resolution, and 3D reconstruction.25,268,269

Correct identification of pulmonary vein and left atrial anatomy is critical to the safety and success of the AF ablation procedure. Pulmonary vein anatomy is marked by great variability among individuals regarding their number, ostia dimensions, and bifurcation pattern.270 The most common variations are the presence of supernumerary pulmonary veins (18%-29%) and of a common trunk (> 30%), mainly on the left, in addition to the presence of a middle lobe pulmonary vein and a top vein.271 CT allows the assessment of the number of pulmonary veins, their respective ostia and diameters, the presence of anatomical variations or drainage anomalies.272,273 Measurements not only of the ostia diameter but also of their area and sphericity, pulmonary vein angle, and distance from the ostium to the first bifurcation can also be useful in planning the ablation when using the cryoablation technique.274 CT can also be useful to anatomically define the vena cava, rule out atrial thrombus, and identify the location and course of the esophagus, as well as to identify the presence of the fossa ovalis and any abnormalities that may interfere with transseptal puncture, such as lipomatous hypertrophy of the interatrial septum. An anatomical definition should allow the optimal choice of ablation technique to be performed and most appropriate planning of the procedure, reducing procedure time and risk of complications.271

CT images can also be fused with electroanatomical mapping or fluoroscopic images.275,276 Several studies have suggested that these techniques may reduce procedure time, AF recurrence rate, and radiation exposure.271 However, evidence from the literature is still controversial regarding its real clinical benefit.268,269

Another use of CTA in this group of patients is related to post-ablation monitoring.273,277 The 2 main complications reported are esophageal injury and pulmonary vein stenosis. CTA has high specificity for detecting pulmonary vein stenosis, which has a reported incidence of 0.29%.278 CTA can identify the location, extent, and degree of pulmonary vein stenosis. It also allows comparison of findings with pre-procedure images. CT also allows assessment of the presence of pulmonary opacities suggestive of venous infarction or changes in adjacent mediastinal fat or lymphadenopathy.

CTA can also detect intracavitary thrombi, identified as low attenuation images located mainly in the left atrium (LA).271,279 Recent studies have demonstrated great diagnostic value of the method for excluding atrial thrombus, especially when using late acquisition techniques (several seconds after contrast infusion), with a meta-analysis demonstrating diagnostic accuracy of 94% and negative predictive value of 99%.280 Although transesophageal echocardiography (TEE) is the gold standard for detecting atrial thrombus and CTA is not yet routinely recommended for this purpose,268 the method demonstrated potential practical application and utility, especially during the SARS-CoV-2 pandemic, when attempts were made to limit unnecessary invasive procedures.281

Furthermore, adequate morphological characterization and location of the LA are also important for atrial occlusion procedures, often indicated for patients who have contraindications to the use of anticoagulants. Multiple morphological patterns have been described: the "chicken wing" pattern is the most common (48%), followed by "cactus" (30%), "windsock" (19%), and "cauliflower" (3%), the latter being more closely associated with thromboembolic events.278,282 Some important parameters for the implantation of the atrial occlusion device can be obtained by CT, such as ostial morphology and leaflet length and angle.283

2.13.1. Technique

The CTA imaging technique for assessment of pulmonary veins varies according to the equipment, but, in general terms, it is similar to the technique used for CCTA imaging. A late confirmatory phase may be performed if there is an image suggestive of atrial appendage thrombus.

Table 15 presents the recommendations for the use of CTA in the assessment of pulmonary veins and left atrial appendage (LAA).

Table 15
Recommendations for the use of computed tomography angiography in the assessment of the left atrium, pulmonary veins, and cardiac veins
2.14. Functional Assessment by CT
2.14.1. CT Myocardial Perfusion Imaging

Assessment of myocardial ischemia with CT-MPI became possible a few years ago. This technique evaluates the first pass of iodinated contrast in the ventricular myocardium under the action of pharmacological vasodilatory stress. CT-MPI involves the use of 2 acquisitions: one is dedicated to the assessment of the coronary arteries (coronary CT itself), as well as to the assessment of myocardial perfusion at rest; the other is aimed at assessing myocardial perfusion, being performed under pharmacological stress (most commonly dipyridamole or adenosine in our setting).

The CT-MPI technique has been robustly validated in relation to its diagnostic performance, using as a reference myocardial perfusion scintigraphy,4 CMR,290 and invasive FFR.291 The techniques used allow the assessment of stress perfusion from a single imaging of contrast administration (static imaging) or in sequential slices during the delivery of contrast to the myocardium (dynamic imaging). Both techniques are similarly accurate, differing from each other in that stress MPI allows quantitative assessments (estimation of regional and global myocardial blood flow, contrast upslope, and maximum attenuation peak), which can provide slight gains in terms of accuracy.292294 A third acquisition technique, using dual-energy imaging to obtain static images, can improve the accuracy of myocardial perfusion assessment,295,296 given the improvements in the contrast-to-noise ratio between different tissues.

Scanners with 64 or more detector rows are required to perform this technique. The sequence in which the imaging steps are performed (stress-first or coronary CT-first protocol) prioritizes functional or anatomical assessment, respectively, and the choice depends on local experience. One factor that may determine the selection of a rest-first protocol (coronary CT first) is the possibility of canceling the stress test if coronary CT shows completely normal vessels, without stenosis.

2.14.1.1. Diagnostic Accuracy

CT-MPI is a technique that should be used in conjunction with coronary CT imaging, providing anatomical and perfusion information in a single examination. In this respect, diagnostic accuracy is best assessed by considering the anatomical-perfusion alignment, aiming to detect stenosis associated with evidence of ischemia. The CORE320 study analyzed the combination of coronary CT with CT-MPI in the identification of flow-limiting stenosis, using the combination of myocardial scintigraphy and cardiac catheterization as a reference.1 Considering all patients, the accuracy of the combined coronary CT and CT-MPI (measured by AUC) was 0.87, reaching 0.93 in patients without known CAD.

In an attempt to compare MPI with other functional methods, Takx et al. evaluated the diagnostic performance of several functional tests, using invasive FFR as a reference.297 CT-MPI had an accuracy of 93% in detecting stenosis associated with the presence of myocardial ischemia, with performance comparable to that of positron emission tomography (PET) and CMR. Table 16 presents the diagnostic performance parameters of CT-MPI compared with other noninvasive methods.

Table 16
Diagnostic performance of computed tomography myocardial perfusion imaging compared with different diagnostic modalities*
2.14.1.2. Prognostic Value

Although extrapolations from extensive literature are used regarding the prognostic value of ischemic burden identified by other functional methods (eg, myocardial perfusion scintigraphy and stress MRI), data are scarce on the use of CT-MPI and correlation with clinical outcomes. In a recent study, Dewey et al.303 showed the 5-year follow-up of the CORE320 study and reported a comparable prognostic value of the combination of coronary CT and CT-MPI and the combination of myocardial perfusion scintigraphy + cardiac catheterization (AUC for prediction of major cardiovascular events was 0.65 for both approaches).

2.14.1.3. Applicability in Different Clinical Settings

The possibility of combining assessment of coronary anatomy and functional repercussions of coronary stenosis in a single examination makes CT-MPI a very attractive tool in CAD workup. Specifically, a group of patients who benefit from this approach are those with known CAD and/or increased cardiovascular risk, as well as patients with stents.149,304 In these settings, where there is a recognized loss of specificity of CTA due to limited luminal assessment, the use of CT-MPI can contribute with information that allows the identification of the impact of possible coronary stenosis on myocardial blood flow.

Furthermore, patients whose anatomy shows intermediate stenosis by CCTA, whose hemodynamic repercussion is doubtful, as well as those with stenosis whose extent of ischemia needs to be quantified may obtain useful information with the addition of CT-MPI to the workup.

2.14.2. CT-derived Fractional Flow Reserve (FFRCT)

CCTA is very useful in patients with a low-to-intermediate probability of CAD, mainly due to its high negative prognostic value.305,306 However, the specificity for detecting hemodynamically significant CAD is limited, especially with regard to moderate stenosis.307

Invasive FFR measurement is currently the gold standard for determining the hemodynamic significance of CAD.308310 With technological advances, it is now possible to measure FFR using CT.

FFRCT is a technology that uses the principles of fluid dynamics to generate a 3D model based on information derived from CCTA, without the need for additional contrast, radiation, or medication administration, since it is a post-processing analysis of the images provided by CCTA.311

Basically, there are 4 basic principles involved in the calculation of FFRCT based on fluid dynamics. The first is that microvascular resistance is inversely related to the diameter of the epicardial coronary arteries. The second is that the model has the ability to extract the myocardium from CCTA to determine the resting myocardial blood flow. The third is that maximal coronary hyperemia is predictable and can be calculated based on pre-established responses to adenosine. Finally, using the Navier-Stokes equations, blood flow and pressure along the coronary arteries can be determined.312

The first 3 published studies validating the method demonstrated good diagnostic performance compared with FFR,313315 using an FFR of 0.8 or less as positive, as shown in Table 17.

Table 17
Diagnostic performance in the first 3 studies of FFRCT vs invasive FFR

More recently, a meta-analysis including 1,852 patients and 2,731 vessels demonstrated FFRCT sensitivity and specificity, respectively, of 89% and 71% in the analysis per patient and 85% and 82% in the analysis per vessel.164 The sensitivity of FFRCT showed no statistical difference from the sensitivity of CCTA. However, the specificity of FFRCT was significantly higher (71% vs 32%; p < 0.001), translated into the ability of the method to detect coronary stenosis that can determine blood flow restriction. Thus, the low specificity of CCTA is now overcome by a combined analysis with FFRCT, which can accurately diagnose the functional significance of coronary stenosis.

The RIPCORD study retrospectively evaluated decision-making in 200 patients from the NXT trial.316 After disclosure of FFRCT data and analysis of the rate of significant stenosis, there was a change in the treatment plan in 36% of cases.

In the Prospective LongitudinAl Trial of FFRct: Outcome and Resource IMpacts (PLATFORM), which involved 584 patients with stable chest pain and intermediate probability of CAD divided into invasive and noninvasive arms, those evaluated with CCTA and FFRCT had lower rates of cardiac catheterization with non-significant CAD.18 While 73% of patients in the invasive arm had cardiac catheterization with non-significant CAD, only 12% of those in the FFRCT group showed this outcome. It is worth noting that, in the noninvasive arm, 61% of patients had a planned invasive catheterization canceled, and in the 1-year follow-up analysis, there were no adverse events in these patients who had their invasive procedure canceled.23

In a substudy of the PROMISE study, involving 67% of the patients in this study evaluated by FFRCT, the availability of these data would lead to a significantly greater association with major adverse cardiovascular events (MACE) or revascularization compared with visual analysis by CTA. Furthermore, reserving the invasive strategy for patients with an FFRCT of 0.8 or less could decrease the nonobstructive CAD rate by 44% and increase the revascularization rate by 24%.317

In summary, these data consistently demonstrate that FFRCT significantly changes the diagnosis of obstructive CAD with blood flow restriction and, consequently, the management of approximately 25% of patients subjected to the technique. Furthermore, cancellation of cardiac catheterization in patients with a negative FFRCT (> 0.8), even in those with CAD on CCTA, has been shown to be a safe strategy.

Despite such evidence, FFRCT analysis, at the time of publication of this Guideline, remains off-site and limited to a single core laboratory. New artificial intelligence-based algorithms318 allow on-site FFRCT analysis, but they remain unavailable for use in clinical practice.319323

Regarding cost-effectiveness, studies that examine the economic impact of combining CCTA with FFRCT have projected promising results. Estimates based on the results of the Diagnosis of Ischemia-Causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve (DISCOVER-FLOW) trial project a 30% reduction in costs over the course of 1 year.324 In the United Kingdom, a retrospective analysis of the use of FFRCT in patients with stenosis of 10% to 90% estimated a saving of £200 per patient.325 The PLATFORM trial included a prespecified economic evaluation that demonstrated a 1-year reduction in mean costs per patient from $12,145 to $8,127.5

Although the results favor the use of FFRCT, it is important to note that the success of this tool depends on a high-quality CCTA imaging (minimum amount of motion artifacts and good contrast-to-noise ratio).326 Although the degree of calcification may impact the accuracy of FFRCT results, there is no pre-established value that prevents its evaluation.327 Finally, because this is a lesion-specific analysis, its use is not recommended in settings of diffuse disease, in revascularized patients, or in patients with coronary stents.

Table 18 presents the recommendations for functional assessment by CT (CT-MPI and FFRCT).

Table 18
Recommendations for the use of computed tomography (CT) in the functional assessment of coronary artery disease (CAD)
2.15. CT in the Assessment of Non-ischemic Cardiomyopathy

One of the main contributions of CT in patients with cardiomyopathy with reduced ejection fraction (EF) is the exclusion of ischemic etiology using CCTA. While there is a Class I recommendation for the use of invasive coronary angiography in the investigation of the etiology of HF with reduced EF in symptomatic patients,141143,328332 other data demonstrate excellent correlation of CCTA with invasive coronary angiography in patients without known CAD and significant global systolic dysfunction with LVEF < 35%, showing a sensitivity of 98% (95% CI, 94%-99%), specificity of 97% (95% CI, 94%-98%), and AUC of 0.99 (p < 00001).332

Therefore, CCTA can be used as a primary noninvasive method to exclude ischemic etiology in patients with cardiomyopathy, with a level of evidence I, and is considered definitely appropriate.

2.15.1. CT in the Assessment of Ventricular Function

The acquisition of images of the coronary arteries by CT, with a retrospective ECG-guided protocol, allows the reconstruction of images of the heart in several different phases of the cardiac cycle. This allows the assessment of cardiac chamber volumes at their respective maximum diastolic and systolic potential and, therefore, the measurement of systolic function and biventricular EF.

A meta-analysis of 12 studies,333 comparing the assessment of systolic function by CT with MRI and transthoracic ECG as reference methods, showed excellent correlation between LV function assessment by CT and MRI with a bias of 0.0 (−3.7, 3.7 [SD 1.96], with 95% CI), as well as excellent agreement between left LV function assessment by CT and transthoracic ECG, with a bias of 0.3 (−4.7, 5.7 [SD 1.96], with 95% CI).

Therefore, LV function assessment by CT can be used as an alternative to ECG and/or MRI in non-ischemic cardiomyopathy in parallel with the exclusion of significant CAD, with a level of evidence I, and is considered definitely appropriate.

2.15.2. Myocardial Tissue Characterization by Delayed Enhancement CT in Non-ischemic Cardiomyopathy

In patients with a contraindication to delayed enhancement MRI (fibrosis), CT can also be performed for this purpose with delayed image acquisition (7-12 minutes after contrast injection), without the need for a second contrast injection, but with a second exposure to CT scanner radiation (considering a first acquisition aimed at assessing the coronary arteries). However, recent optimization of CT scanners has resulted in low radiation doses per imaging session. This technique allows the assessment of myocardial fibrosis by CT with good correlation with delayed enhancement CMR in non-ischemic dilated cardiomyopathy (DCM),334 cardiac sarcoidosis (CS),335 myopericarditis,336 and endomyocardial fibrosis (EMF).337

Assessment of myocardial fibrosis using delayed enhancement CT may be an alternative to MRI in non-ischemic cardiomyopathy. Table 21 shows the indications for the use of CT in the context of non-ischemic cardiomyopathies.

Table 21
Recommendations for the use of cardiac computed tomography angiography in the assessment of non-ischemic cardiomyopathy, pericardial diseases, and cardiac masses
2.15.3. Myocardial Extracellular Volume Measurement by CT

As with MRI, it is possible to measure myocardial extracellular volume (ECV) and estimate interstitial fibrosis by CT, with delayed image acquisition after contrast injection. Initial studies have demonstrated increased ECV in non-ischemic cardiomyopathy.338 In this respect, there is the possibility of using CT-measured ECV to assist in the diagnosis of cardiomyopathies and storage diseases, as well as to guide treatment response.

2.16. CT in the Assessment of Pericardial Diseases

CT is a valuable complementary imaging modality in the assessment of the pericardium and should be considered in limited clinical scenarios with complex presentation or inconclusive echocardiographic findings.339

Prospective ECG-synchronized image acquisition, with low radiation and extending from the carina to the diaphragm, is generally adequate for the assessment of the pericardium.339 ECG synchronization helps eliminate motion artifacts and, in the case of retrospective acquisition, can provide functional information, although at the cost of a higher radiation dose. However, it is not an absolute prerequisite, since reasonable images of the pericardium can be obtained even without ECG synchronization.

Normal pericardium appears as a thin linear hyperdense structure usually measuring less than 2 mm, which is easily detectable on both contrast-enhanced and non-contrast scans because of its visibility against the low attenuation of the surrounding fat.

If inflammatory, infectious, or neoplastic etiologies are considered, intravenous administration of iodinated contrast material is recommended to increase blood density and define possible pericardial inflammation.339

2.16.1. Pericardial Effusion

CT may be useful in determining the presence of loculations, pericardial inflammation, or hemorrhage.340 On CT, pericardial effusion can be characterized by measuring its attenuation value. Near-water attenuation (< 10 Hounsfield units [HU]) suggests a simple transudative effusion. It is unusual for a transudative effusion to exceed 15 HU, and this can be used as a threshold measurement to consider exudative effusion more likely than transudative effusion.340 Attenuation values ranging from 20 to 60 HU suggest that the pericardial effusion may be purulent, malignant, or myxedematous. Effusions with attenuation > 60 HU may suggest hemorrhage.

2.16.2. Acute Pericarditis

CT may demonstrate the presence of pericardial thickening or pericardial enhancement after contrast administration.

CT can be of great value especially in pericarditis of traumatic etiology (particularly when there is suspicion of associated lesions in adjacent structures), neoplastic diseases (assessment of disease extent and staging), and post-AMI (when doubt persists concerning the possibility of hemopericardium secondary to free wall rupture).

2.16.3. Pericardial Tamponade

CT has no role in acute cardiac tamponade, due to patient instability, but it may help determine the feasibility of percutaneous pericardiocentesis, especially in loculated or complex effusions, when cardiac tamponade is subacute.341,342

CT signs of cardiac tamponade include a "flattened heart" and/or septal bounce due to compression of the cardiac chambers secondary to the presence of fluid, air, or masses. Indirect findings include dilation of the superior vena cava, with a caliber greater than or equal to that of the adjacent thoracic aorta, dilation of the inferior vena cava, with a caliber greater than twice that of the adjacent abdominal aorta, periportal edema, reflux of contrast into the inferior vena cava or azygos vein, and enlargement of the hepatic and renal veins.340

2.16.4. Constrictive Pericarditis

CT is an excellent method for assessing pericardial thickness and therefore plays an important role in constrictive pericarditis. On CT, the normal pericardium is 1 to 2 mm thick, whereas in constrictive pericarditis it is usually 4 to 20 mm thick.342,343 Increased pericardial thickness is a supportive sign in clinically suspected cases, but it does not confirm the condition, since constrictive pericarditis may occur without pericardial thickening and thickening may not determine constriction.341 CT is the best method to delineate the presence and extent of pericardial calcification, a significant finding in view of clinical suspicion, although not pathognomonic.344,345

ECG-synchronized image acquisition with retrospective control allows the assessment of the physiology and possible chamber collapse. However, given the greater exposure to ionizing radiation, its indication remains restricted to patients with limited echocardiography and contraindications to CMR.345

2.16.5. Pericardial Tumors

CT allows better characterization of pericardial tumors and adjacent structures, as well as the investigation of possible tumor dissemination and the presence of calcification or lymphadenopathies.340,341 CT is more robust than CMR in the identification of other thoracic lesions, including primary lung cancer, lung metastases, and mediastinal nodules.342

On CT, features of pericardial malignancy include an irregular, thickened, nodular pericardium, complex pericardial effusion, and post-contrast pericardial enhancement. Rupture of the pericardial sac, presence of hemorrhagic effusion, invasion into epicardial adipose tissue, myocardium, or cardiac chambers, and mediastinal adenopathy are characteristics of an aggressive malignancy.342

Benign pericardial tumors include lipomas, which show low attenuation on CT,340 and teratomas, which appear as fat- and calcium-containing masses.342

Pericardial mesothelioma is the most common primary malignancy of the pericardium and may appear as an effusion with pericardial nodules or plaques on CT or as a heterogeneously enhancing mass.340 Lymphoma, sarcoma, and liposarcoma appear as large heterogeneous masses with associated pericardial effusion. Pericardial lymphomas appear as infiltrative enhancing masses.340

Angiosarcomas and synovial sarcomas are highly vascular tumors that often present with massive hemopericardium. On CT, these tumors appear as necrotic masses.340

2.16.6. Cysts and Diverticula

Cysts, usually located in the right cardiophrenic angle, often appear on CT as oval, homogeneous masses with thin walls and a density of 30-40 HU. Given their liquid component, they do not show contrast enhancement.341 On CT, a pericardial diverticulum resembles a cyst, although an open communication with the pericardial sac can be identified.340

2.16.7. Congenital Absence of the Pericardium

CT often diagnoses congenital absence of the pericardium incidentally. Because of the natural contrast between the pericardium and epicardial fat rim, it is usually possible to delimit the pericardium on non-contrast CT, except in patients with minimal epicardial fat in whom this differentiation becomes difficult.342

In addition to the direct visualization of the pericardium, there are important indirect morphologic and functional signs consistent with pericardial defects. The diagnosis is suspected when posterior wall motion is accentuated or when the right ventricle (RV) appears falsely enlarged due to leftward shift. The marked displacement of the apex toward the axilla leads to the appearance of compressed atria. Interposition of lung tissue in spaces between the aorta and pulmonary artery or between the base of the heart and the diaphragm is a specific sign.

2.16.8. Pneumopericardium

Pneumopericardium is an accumulation of air within the pericardial space, which usually occurs in the setting of traumatic pericardial injury. Other etiologies include positive pressure ventilation and cardiothoracic surgery.340

CT is very useful in acute conditions and will show pneumopericardium as an accumulation of air in the pericardial space, and can also assess its hemodynamic repercussions when acquired retrospectively with ECG synchronization.340

2.16.9. Pericardial Foreign Bodies

Pericardial foreign body injury may occur due to direct trauma or secondary to distal embolic penetration. CT is usually diagnostic because it localizes the foreign body in the pericardium and may also show associated features, such as hemopericardium.340Table 19 presents the diagnostic performance of CT and MRI in pericardial abnormalities.

Table 19
Comparison of CT and CMR in pericardial diseases

2.17. CT in the Assessment of Cardiac Masses/Thrombi

Assessment of cardiac tumors often requires the use of multiple imaging modalities to obtain accurate information about location and tissue characteristics. TTE is usually the first choice due to its availability and high temporal resolution, being ideal for identifying small mobile masses. TEE can more accurately assess valve masses that are not well visualized on TTE.346

CMR is the imaging modality of choice for a more detailed assessment of nonvalvular cardiac tumors, as it provides excellent tissue characterization and multiplanar reconstruction of cardiac structures. However, CMR may not be suitable for some patients due to restrictions such as prolonged acquisition time, contraindication in cases of claustrophobia, uncooperative patients, or in the presence of certain implanted devices.347

In these scenarios where other imaging modalities are not diagnostic or are contraindicated, CT has become an increasingly used method for this assessment. Advantages include shorter acquisition time and high spatial resolution.348 ECG synchronization minimizes motion-related artifacts and allows the identification of tumor location and a more precise delimitation of lesion margins and their relationship with surrounding tissue planes and structures, which is especially valuable for surgical planning.349

CT-based diagnostic assessment of masses involves several aspects, including mass size, location (cardiac chamber, pericardial involvement, extracardiac structures), quantity, morphology (fixation, margin appearance, infiltration), and clinical correlation (known malignancy or infection, presence of catheter, associated syndromes). Furthermore, CT has the ability to characterize tissues via density and perfusion analysis, being useful in the etiological differential diagnosis by assessing calcification, fat attenuation, vascular distribution, and fibrous component of tumors. Compared to other cardiac imaging modalities, CT stands out as the optimal option for assessing calcified masses, also providing a comprehensive assessment of the thorax, lung tissue, and their corresponding vascular structures (Table 20).346

Table 20
Characteristics of cardiac masses on CT

A CT also plays a crucial role in tumor staging, as it has the ability to detect metastases in cases of suspected malignancy, especially when combined with 18F-fluorodeoxyglucose PET/CT.350352

It can also help differentiate between intracavitary tumors and thrombi.353 It is an accurate and reliable alternative to TEE for the detection of thrombi in the LA and LAA in patients with AF, with mean sensitivity and specificity of 96% and 92%, respectively.10 Likewise, in patients with ischemic stroke, CT sensitivity and specificity for detecting LA/LAA thrombi are 96% and 100%, respectively.354

CT characterizes LV thrombi as hypodense masses, with significantly lower attenuation compared with the adjacent myocardium, and diagnoses them with a sensitivity of 94%, specificity of 97%, positive predictive value of 94%, and negative predictive value of 97%.353 Currently, there are few validated data on the role of CT in the detection of LV thrombi compared with CMR,355 but in the setting of ischemic stroke, CT may be superior to TTE.356

CCTA, obtained with the same acquisition protocol, allows preoperative assessment of the presence of CAD or adjacent masses that may determine obstruction, reducing procedure-related risks.357 Noninvasive stratification is particularly indicated for patients with a low pretest probability, especially those with masses in the left cardiac chambers who are at increased risk of embolic events associated with invasive coronary angiography.357,358

Table 20 presents the characteristics of the main cardiac masses seen on CT.

Despite its recognized utility, CT has some limitations, such as radiation exposure, risk of contrast-related adverse events, lower temporal resolution compared with echocardiography or CMR, and lower soft tissue resolution compared with CMR.346Table 21 presents the recommendations for the use of CT in the assessment of non-ischemic cardiomyopathy, pericardial diseases, and cardiac masses/thrombi.

2.18. Vascular Diseases

Arterial and venous territories are assessed using CT, which is a practical and precise examination with extremely high diagnostic accuracy. Improvements in CT scanners, with an increase in the number and profile of detectors, have brought advances in spatial and temporal resolution, allowing imaging to be performed more quickly and effectively. Such characteristics are essential, for example, in the evaluation of critically ill patients, where imaging time becomes a determining factor.

Different extracardiac vascular diseases will be discussed below. This Guideline will not address the diagnosis of intracranial vascular diseases.

2.18.1. Aorta

Diseases of the aorta are diverse and include aortic aneurysm (AA), AAS, pseudoaneurysms, aortic rupture, atherosclerotic and inflammatory conditions, genetic diseases, and congenital abnormalities. AAS includes aortic dissection (AD), intramural hematoma (IMH), penetrating ulcer, and traumatic aortic injury.

Aortic diseases may be diagnosed after a long period of subclinical development or may have an acute presentation. AAS is often the first sign of the disease, which requires rapid diagnosis and decision-making to reduce the extremely poor prognosis. Treatment outcomes for stable, often asymptomatic, but high-risk conditions are much better than the outcomes of treatment required for acute disease.

Therefore, the identification of aortic diseases before a possible acute phase is desirable, and in this context, diagnostic imaging plays a very important role, especially CT and MRI.

CT plays a central role in the diagnosis, risk stratification, and treatment of aortic diseases. Its advantages over other imaging modalities include the short time required for image acquisition and processing, the ability to obtain a complete (3D) volumetric dataset of the entire aorta, a wide field of view, and broad availability.

In the assessment of the thoracic aorta, the acquisition of ECG-synchronized images is essential to eliminate motion artifacts from the aortic root and ascending aorta, avoiding testing-related diagnostic errors.378

To obtain volumetric images that allow 3D multiplanar reconstruction, which is essential for assessing the aorta, it is necessary to use at least 16-slice MDCT scanners, preferably with 64 or more detector rows, as these devices have higher spatial and temporal resolution.379 When assessing the thoracic aorta, given the need for ECG synchronization, it is recommended to use at least 64-slice MDCT scanners, as faster acquisition is less susceptible to cardiac and respiratory motion artifacts. A slice thickness of 1 mm or less is recommended.

Intravenous administration of iodinated contrast material is required to obtain angiographic images by CTA, with image acquisition at arterial peak contrast enhancement. In acute and postoperative conditions, it is recommended to obtain unenhanced images before contrast injection (pre-contrast phase) to assist in the detection of hematoma and extravasation. A late post-contrast acquisition is recommended in postoperative control imaging, especially endovascular, to detect extravasation and to assess possible parietal enhancement.

CT allows the detection with excellent accuracy of the location and extent of the diseased aortic segment, vessel diameters, presence of atheroma, thrombus, dilation, stenosis, hematoma, ulceration, dissection, parietal thickening, calcification, and extravasation. It allows the assessment of periaortic tissue, aortic branches, and extravascular structures, making it possible to detect changes in target organs such as hypoperfusion and infarction. Furthermore, the branches of the aortic arch, the iliac arteries, and the femoral arteries, which are essential for planning surgical and endovascular repair procedures, can be easily included in the scanning area.

In acute aortic disease, MDCT is the recommended imaging modality in the initial assessment. Several studies have demonstrated high diagnostic accuracy for the detection of AD and IMH (combined sensitivity of 100% and combined specificity of 98%), as well as for the detection of penetrating ulcer, thrombus, occlusion, pseudoaneurysm, and rupture.380

Due to the use of ionizing radiation, it is recommended that children and young women should not be monitored for aortic diseases exclusively with CT, and other methods that do not require ionizing radiation can be used, such as MRI, ultrasound, and ECG, depending on the location of the affected aortic segment.

The use of iodinated contrast may be a limitation in patients with iodine allergy and in those with compromised renal function.381 It is worth noting that non-contrast CT can be used to monitor aortic dilation, since the external vessel caliber can be measured without contrast administration, with the same precision as that with contrast administration.

2.18.2. Extracranial Carotid Arteries

Carotid CTA is an effective imaging modality for assessing atherosclerotic involvement of this vascular territory, and especially for defining the resulting degrees of obstruction, providing support for the planning of treatment/intervention of extravascular diseases.

Carotid stenosis is defined by stenosis > 50% (symptomatic or asymptomatic) in the extracranial segment of the internal carotid artery, and is one of the main clinical indications for imaging screening for extracranial arterial disease.382 Patients with carotid stenosis ≥ 60% to 99% on ultrasound are referred for carotid CTA or MR angiography to confirm the degree of stenosis and to assess plaque characteristics. This recommendation is supported by the lower accuracy of ultrasound for quantifying the degree of stenosis and the possibility of false positives using that method.383

Carotid CTA can be used in the assessment of dissection, which is a recognized cause of ischemic stroke and transient ischemic attack.384 Carotid artery dissection may be spontaneous, occurring occasionally in the presence of predisposing factors, but spontaneous extracranial carotid artery dissection may also occur in patients without predisposing factors in association with trauma.384

Head or neck trauma presents a moderate-to-high risk of associated vascular injuries that require CTA assessment, especially trauma associated with fractures of the first to third cervical vertebrae, fractures extending into the transverse foramina, and skull base fractures. Other indications for carotid CTA include fibromuscular dysplasia of the carotid or vertebral arteries, CAD, assessment of aneurysms and pseudoaneurysms, vascular malformations and arteriovenous fistulas, planning of endovascular treatment or vascular surgery, assessment of tumor vascularization in the cervical or craniocervical region, vasculitis, and collagen diseases.

2.18.3. Renal Arteries

CTA is very useful in the assessment of renal artery stenosis and has advantages over digital subtraction arteriography due to its ease of operation and less invasiveness.385 In a prospective study comparing CTA vs digital subtraction arteriography, the sensitivity, specificity, and accuracy values for detecting significant stenosis were 100%, 98.6%, and 96.9%, respectively.386 In addition to atherosclerosis, CT can assess the involvement of the renal arteries by other diseases, such as fibromuscular dysplasia, polyarteritis nodosa, arteriovenous fistula, aneurysm, and thrombosis.387

2.18.4. Peripheral Vascular Disease

Approximately 80% of lower extremity artery diseases are represented by peripheral arterial occlusive disease (PAOD), with an estimated prevalence of 14.5% in individuals over 70 years of age. The clinical presentation may range from asymptomatic patients or patients with intermittent claudication to cases of acute arterial occlusion.

The remaining 20% of lower extremity arterial diseases, which also often cause stenosis and occlusion, include systemic diseases and local inflammatory and degenerative processes. This group includes aneurysms, vasculitis (such as thromboangiitis obliterans, fibromuscular dysplasia, and Takayasu arteritis), and popliteal entrapment syndrome.

Within this context, imaging of the lower extremity arteries has the role of confirming a diagnostic hypothesis (such as stenosis and/or occlusion due to PAOD) and displaying the anatomy and abnormalities to determine the need and feasibility of an invasive procedure, to choose the optimal strategy, and to prepare for an endovascular or surgical procedure.

CTA and MR angiography allow obtaining high-resolution images of lower extremity arteries with a relatively shorter turnaround time, which improves patient tolerance.388 The performance of MR angiography in the assessment of PAOD is very similar to that of CTA, with a sensitivity of 92% to 99.5% and specificity of 64% to 99%.388,389 Due to its availability, ease of operation, and reduced imaging time, CTA is the noninvasive imaging modality of choice for vascular assessment, with MR angiography being reserved for patients who cannot undergo CTA, such as those allergic to iodine and those with renal failure.

Both CTA and MR angiography allow complete mapping of the lower extremity arteries, from the abdominal aorta to the foot arteries. They ensure the identification of the number of lesions, stenosis extent, diameter, and morphology, adjacent normal arterial caliber, and status of the distal vessels.389 CTA also shows calcifications.388,390 This information guides the procedure planning regarding access route, choice of material, and expected long-term permeability after the intervention.388,390

Endografts and stents are easily identified on CTA by their metal mesh, which shows high attenuation.391 Their patency and potential luminal stenosis are also very well characterized, since this method allows visualization of the intraluminal contrast column.391 Endografts and stents, in general, cause image distortion artifacts on MRI and MR angiography, which prevents the evaluation of their lumen and, in some cases, of the surrounding structures.

Peripheral artery aneurysms appear as focal fusiform or saccular arterial dilations, often associated with mural thrombi.392 In the angiographic evaluation, whether by CT or MRI, it is essential to assess aneurysm diameters and extent, the diameters of the affected vessel above and below the dilation,392 as well as aneurysm neck measurements392 and precise location, with description of possible involvement of other vessels,392 to choose the optimal approach.

2.18.5. Pulmonary Arteries

Several diseases can involve the pulmonary arteries and result in parietal abnormalities, dilation, stenosis, and occlusion. The 2 main pulmonary vascular diseases are PE and pulmonary hypertension (PH).

CT plays a key role in the diagnosis of pulmonary artery diseases, especially PE. Its advantages over other imaging modalities include the short time required for image acquisition and processing, the ability to obtain a complete (3D) volumetric dataset of the entire thorax, a wide field of view, and broad availability. To assess the pulmonary arteries, it is recommended to use at least 16-slice MDCT scanners, preferably with 64 or more detector rows, as these devices have higher spatial and temporal resolution, thus increasing image quality and reducing the occurrence of cardiac and respiratory motion artifacts. A slice thickness of 1 mm or less is recommended.

CTA of the pulmonary arteries is the method of choice for assessing PE. It allows adequate visualization of the pulmonary arteries and identification of thrombi down to the subsegmental level. It has good sensitivity and specificity for the diagnosis of PE,393 and a negative CTA is considered an adequate criterion for excluding PE in patients with low or intermediate pretest probability.394

Regarding PH, CTA can identify cardiac and extracardiac abnormalities usually related to PH, such as dilated pulmonary trunk, signs of previous PE, and RV dilation or hypertrophy, among others.381,395

2.18.6. Visceral Arteries

Contrast-enhanced CTA is effective in assessing significant arterial and venous stenosis in cases of acute and chronic mesenteric ischemia, as well as in providing additional information on intestinal loops, including data to assess mesenteric ischemia due to strangulated loops in internal hernia, adhesions or bands, and non-atherosclerotic diseases, such as arteritis and fibromuscular dysplasia.396398

In acute mesenteric ischemia, contrast-enhanced CTA is the imaging modality of choice because there is a need for rapid diagnosis. In addition, other modalities such as MR angiography, for example, discussed in the MRI section of this Guideline, may not be available or may require more patient cooperation for acquisition of the sequences. A careful systematic review and meta-analysis calculated a sensitivity of 94% and a specificity of 95% for the diagnosis of acute mesenteric ischemia using contrast-enhanced CTA.397

In chronic mesenteric ischemia, also called abdominal angina, contrast-enhanced CTA can identify both old stenoses and potential collateral vascular networks that may appear after significant stenosis/chronic occlusion of the main mesenteric vessels (celiac trunk, superior mesenteric artery, and inferior mesenteric artery).399

MDCT can assess the main mesenteric vessels with an accuracy similar to that of arteriography. Furthermore, MDCT also has high accuracy for postoperative evaluation of angioplasty or grafting.390,400

Table 22 presents the recommendations for the use of CTA in the evaluation of different clinical scenarios related to vascular diseases.

Table 22
Recommendations for the use of computed tomography angiography in the assessment of vascular diseases

3. Cardiovascular Magnetic Resonance

CMR is one of the most complete and comprehensive examinations in cardiology. Although it has existed for decades in this field, its use and indications have grown exponentially after the development of myocardial delayed enhancement technique in 1999, being currently considered an essential imaging test for the optimal care of patients with heart disease.2,418420 The studies conducted since then have changed the understanding of several diseases within cardiology, whether in CAD through the more sensitive detection of myocardial infarction and a new concept of myocardial viability by infarct transmurality, or through the assessment of non-ischemic cardiomyopathy, with knowledge of diseases that were previously not properly diagnosed. In addition, in the assessment of congenital heart disease, CMR increased the accuracy of volumetric measurements and ventricular functions, helping to improve patient outcomes during follow-up.2,1215,421423

CMR does not use ionizing radiation (unlike CT, nuclear medicine, and hemodynamics), offering safety for patients who need follow-up imaging or younger patients. When the use of contrast is required, gadolinium-based contrast agents are used, which do not present nephrotoxicity. However, they should be used with caution in patients with chronic renal failure and glomerular filtration rate < 30 mL/min due to the risk of nephrogenic systemic fibrosis. Despite this recommendation, recent consensus statements have shown the safety of specific contrast agents in this population.2,424

Limitations to the use of CMR are claustrophobia, which can be overcome by performing the examination under anesthesia in patients in whom the benefits of the information outweigh the risks of the procedure, and the presence of metal devices such as ferromagnetic cerebral aneurysm clips and cochlear implants.2 The presence of cardiac implantable electronic devices, such as pacemakers and implantable cardioverter-defibrillators (ICDs), is not currently a contraindication to MRI. However, such devices require programming and monitoring by specialists during imaging and will present metal artifacts in the chest, sometimes limiting the appropriate analysis of imaging findings, particularly in patients with ICDs.2,425

A major advantage of this method is its multimodality features, allowing for the collection of various data on a heart condition in a single examination, thus providing a more assertive diagnosis through various pulse sequences with different objectives.2

A routinely used technique is cine-MRI using the steady-state free precession (SSFP) pulse sequence, which allows accurate and highly reproducible measurement of cardiac chamber volumes and ventricular masses and functions, without the need for contrast agents, and is the best method for patients who need this information for clinical decision-making. Cine-MRI sequences also allow an excellent morphological and functional evaluation of the heart without the limitation of the patient's biotype and without problems of inadequate windows, thus allowing the assessment of localized hypertrophies, trabeculations, aneurysms/pseudoaneurysms, pericardial diseases, masses, and valvular heart diseases and planimetric measurements to determine the severity of valve stenosis.

Another CMR pulse sequence is fast spin echo, capable of producing static images of the heart without the use of contrast agents, which can be T1-weighted for morphological evaluation and fat determination, or T2-weighted for the assessment of edema.2 These sequences can be used in the assessment of pericardial masses and diseases, myocardial and pericardial edema, fatty infiltration in arrhythmogenic cardiomyopathy, and lipomatous metaplasia in chronic myocardial infarction, among others.

A specific MRI analysis that changed the follow-up, treatment, and mortality of thalassemia major was the diagnosis of myocardial iron overload through changes in the T2-star (T2*) value.2,426,427 This measurement is performed using a gradient-echo pulse sequence, without the use of contrast agents, and assists in the diagnosis of cardiac hemosiderosis, a complication of hereditary hemolytic anemia that requires multiple transfusions, such as thalassemia major and hereditary hemochromatosis.

Recent techniques within CMR include T1 and T2 parametric mapping, increasingly used in clinical practice, but which are not yet available on all MRI scanners in our country.428,429 T1 mapping allows the detection and quantification of changes in the myocardial structure without the use of contrast agents, such as the presence of myocardial fibrosis, but it may have limitations in determining the etiology when not combined with the delayed enhancement technique. The T1 map also appears altered in conditions of inflammation, such as AMI, acute myocarditis, and pericarditis, and in cases of suspected storage diseases, such as cardiac amyloidosis (CA), being considered essential in the diagnosis by MRI. T2 mapping allows for a more objective and accurate assessment of myocardial edema, assisting in the diagnosis of acute heart diseases, such as myocarditis.

Phase-contrast pulse sequences are widely used in patients with valvular heart disease and congenital heart disease, as they allow blood flow analysis with the measurement of volumes and associated velocities, without the use of contrast agents.2 Phase-contrast pulse sequences can provide highly accurate measurements of regurgitant volume and regurgitant fraction in the grading of valve insufficiency, or of the pulmonary-to-systemic flow ratio (Qp/Qs) in patients with intracardiac or extracardiac shunts.

Another important CMR technique is first-pass MPI of gadolinium-based contrast agents, which can be used in tissue characterization of cardiac masses or, particularly, in stress CT-MPI for the assessment of ischemia. Stress MRI is usually performed with vasodilators, such as adenosine and dipyridamole, and has high diagnostic accuracy. In the Clinical Evaluation of MAgnetic Resonance imaging in Coronary heart disease (CE-MARC) study, which compared CMR and scintigraphy for the assessment of ischemia in 628 patients undergoing coronary angiography, CMR showed higher sensitivity (CMR 86.5% vs SPECT 66.5%) and higher negative predictive value (CMR 90.5% vs SPECT 79.1%) than scintigraphy, with similar specificity and positive predictive value.10 Another way to detect myocardial ischemia with CMR is the analysis of segmental contractility under dobutamine stress, which also presents high diagnostic accuracy. A study comparing CMR with dobutamine stress echocardiography found higher sensitivity (CMR 86.2% vs ECHO 74.3%), higher specificity (CMR 85.7% vs ECHO 69.8%), and higher accuracy (CMR 86.0% vs ECHO 72.7%) for CMR in detecting significant coronary stenosis compared with coronary angiography.430

The delayed enhancement technique, first demonstrated in patients with myocardial infarction and later in different non-ischemic cardiomyopathies, had a great impact on cardiology and the use of CMR. This technique allows the detection of areas of myocardial necrosis after contrast injection, discriminating between myocardial infarction and non-ischemic fibrosis. Furthermore, it allows predicting myocardial viability based on infarct transmurality, as well as stratifying the risk of adverse events in multiple heart diseases.1215,418,421,422 Ischemic and non-ischemic fibrosis can be differentiated in a simple way by the involvement of the subendocardium and by obeying one or more coronary territories in fibrosis following myocardial infarction. Figure 4 provides a graphical representation of the different patterns of myocardial fibrosis and their correlation with the diagnosis of ischemic and non-ischemic cardiomyopathy.14,15 In view of these features, CMR is considered an indispensable tool for the initial evaluation of patients with cardiomyopathy of unknown etiology (Table 23).

Figure 4
Patterns of myocardial fibrosis identified by magnetic resonance imaging and correlation with different cardiomyopathies.
Table 23
Recommendation for the use of cardiac magnetic resonance in the assessment of cardiomyopathy

In congenital heart diseases, another technique that can be added to CMR is contrast-enhanced MR angiography (MR angiography of the thoracic aorta and pulmonary arteries) aiming at a comprehensive approach to these heart diseases in the assessment of associated vascular lesions, which impact the choice of optimal treatment and the success of surgical and/or hemodynamic interventions.2 MR angiography of vascular structures can also be ordered alone in specific conditions, for example: MR angiography of the thoracic aorta in patients followed up for ascending AA to assess the timing of a possible surgical indication.2

Therefore, given the numerous techniques and data that can be assessed by MRI, it is recommended that CMR be guided (using specific protocols) by the hypotheses raised by the ordering physician, providing imaging services and the physicians responsible for image acquisition and analysis with the necessary data for a better outcome for the benefit of patients.

3.1. Use of Multiparametric Mapping in the Differential Diagnosis of Cardiomyopathies

In the last decade, the use of multiparametric mapping has grown significantly and has become a useful tool in the differential diagnosis of cardiomyopathies. This technique allows the assessment of pathological processes in the myocardium, being useful in the investigation of myocardial edema, iron deposition, and presence of interstitial fibrosis and areas of infarction, thus playing a relevant role in the evaluation of treatment response and providing prognostic information. These maps provide information based on changes in myocardial parameters of T1, T2, and ECV.

3.1.1. T1 Mapping Technique

T1 mapping is defined as the myocardial (T1) relaxation time for recovery of longitudinal magnetization. The longitudinal or spin-lattice relaxation time is a measure that evaluates how fast the proton magnetization returns to its equilibrium state after a radiofrequency (RF) pulse in the MRI scanner. The T1 value is encoded in each pixel by this sequence.

T1 mapping is considered a tool capable of characterizing the different structures present in the heart,435 accurately distinguishing the myocardium, areas of fibrosis, and presence of edema. It has the potential to detect diffuse structural changes in the myocardium that cannot be assessed by other noninvasive methods, including LGE. Terms commonly used in T1 mapping include native T1 (images without paramagnetic contrast agents), post-contrast T1 (images acquired after contrast injection), and ECV (values derived after contrast administration), among others. Native T1 and ECV are the variables with the greatest impact on daily clinical practice.

3.1.2. Basic Principles

The basic principle of T1 mapping is the acquisition of a sequence of multiple T1-weighted images and nonlinear curve fitting, using the signal intensity and time after inversion of each image.428,436 T1 times can be determined for regions of interest, myocardial segments, or at each pixel location to form a T1 map.

ECV is obtained through a mathematical equation, which considers the pre-contrast and post-contrast T1 times and hematocrit level. Hematocrit levels should preferably be measured on the same day as imaging.

Several techniques can quantify myocardial T1 relaxation times, each with specific advantages and limitations, such as modified Look-Locker sequence (MOLLI), short MOLLI (shMOLLI), and saturation recovery single-shot acquisition (SASHA). To compare T1 values, it is important that the protocol used is the same, that is, T1 values should be obtained with the same type and dose of contrast agent at the same field strength (1.5 T vs 3.0 T) using the same post-processing method.

T2 mapping is a tool that has proven to be sensitive in the assessment of myocardial inflammation and reversible myocardial injury, allowing the assessment of acute/active inflammation without gadolinium enhancement.

The identification of edema by T2 mapping was superior to traditional T2-weighted dark blood imaging, with T2 mapping being important in the diagnosis of inflammatory cardiomyopathy and elevated in the acute phases of AMI.437439

3.1.3. Differential Diagnosis of Cardiomyopathies

T1 and T2 mapping can assist in the differential diagnosis of cardiomyopathies because these maps present different behaviors in each disease. T2 maps are very useful in identifying edema, while T1 maps have the ability to identify edema, diffuse fibrosis, and myocardial infiltration (Table 24).

Table 24
T1 mapping and extracellular volume (ECV) patterns most commonly found in cardiomyopathy

T1 values are prolonged in cases where the extracellular compartment is increased, being elevated especially when there is edema (eg, increased tissue water in inflammation following AMI) and increased interstitial space (eg, scar fibrosis following myocardial infarction/cardiomyopathy and amyloid deposition). Conversely, T1 values are reduced when there is lipid overload (eg, Anderson-Fabry disease) and iron overload. ECV increases with excessive collagen deposition and decreases in lipomatous metaplasia. Table 24 summarizes the main characteristics of T1 mapping in cardiomyopathy.

3.1.4. Myocardial Infarction/Ischemic Cardiomyopathy

In patients in the acute phase of infarction, native T1 values are elevated due to the presence of myocardial edema.428 Elevated segmental native T1 values, when comparing LGE areas, showed significant correlation especially in patients with chronic myocardial infarction, being suitable for classifying segments with no LGE, LGE positive but viable, and LGE positive but non-viable.451 ECV values are elevated in segments of myocardial fibrosis.452 Reduced native T1 values and pseudonormalization are observed in areas of intramyocardial hemorrhage and no-reflow, respectively.445

3.1.5. Myocarditis

Myocarditis is diagnosed by CMR using the Lake Louise criteria,437 which are based on the identification of necrosis, edema, and scarring/inflammation. Recent studies have shown that the use of T1 and T2 mapping increases diagnostic accuracy compared with classically used techniques.453 Native T1 mapping can assess myocardial injury and edema more sensitively than the early gadolinium enhancement technique, and native T2 mapping is used to assess edema instead of the classically used T2-weighted imaging techniques.438,440 Non-coronary, midmyocardial, and epicardial LGE patterns are usually found. Native T1 and ECV values are usually increased, characterizing diffuse myocardial fibrosis.441 Furthermore, SARS-CoV-2 cardiac involvement is relatively common. Affected patients have significantly elevated native T1 and T2 values, and these elevations correlate with troponin levels.454 However, the findings are indistinguishable from those of myocarditis of other etiologies.

3.1.6. Takotsubo Syndrome

Characterized by a transient reduction in EF, with abnormal segmental contractility, most commonly related to the apical region of the LV. Patients with Takotsubo syndrome showed elevated native T1 and T2 values and ECV, more pronounced in segments with abnormal contractility. At late follow-up, the patients had a progressive reduction in these values associated with the recovery of ventricular function.444

3.1.7. Cardiac Amyloidosis

Amyloid protein deposition in the myocardium is associated with increased myocardial thickness and diffuse myocardial fibrosis, with the presence of subendocardial and transmural LGE distributed throughout the ventricular wall. Both types of CA have markedly elevated native T1 values, but transthyretin-related CA usually shows more extensive myocardial involvement than light-chain CA.455 CA is associated with a higher ECV than any other cardiomyopathy secondary to extensive and substantial extracellular infiltration of amyloid protein deposition.452 Recent studies have shown that T1 mapping (native T1 and ECV values), performed serially, can be a noninvasive tool to monitor treatment response and changes in myocardial structure.456 In patients with renal dysfunction secondary to amyloidosis, markedly elevated native T1 values suggest the diagnosis of CA, without the need for gadolinium administration.457,458

3.1.8. Anderson-Fabry Disease

Anderson-Fabry disease is a rare condition characterized by intracellular lipid deposition resulting in ventricular hypertrophy. In this condition, affected patients had globally reduced native T1 values compared with healthy volunteers and patients with other comorbidities.447 T1 values were inversely proportional to wall thickness and were altered even in patients without ventricular hypertrophy, indicating that this technique is an early marker of cardiac involvement.459 In areas with the presence of LGE, T1 values were normal or elevated.447

3.1.9. Iron Overload Cardiomyopathy

Iron overload cardiomyopathy is a manifestation of hemochromatosis. Cardiac involvement due to myocardial iron deposition is diagnosed using the T2* technique. Patients with myocardial iron overload (T2* < 20 ms) have reduced native T1 and T2 values.460462 Native T1 and T2 values were significantly correlated with T2* values and showed lower intra- and inter-observer variability.462 T1 mapping can be considered an alternative method for quantifying cardiac iron, with the potential for detecting mild iron overload, with high reproducibility. These characteristics have potential implications for clinical trial design and treatment monitoring.448

3.1.10. Hypertrophic Cardiomyopathy

Hypertrophic cardiomyopathy (HCM) is a genetic disease characterized by LV hypertrophy (LVH). Native T1 values are increased in HCM and correlate with the degree of myocardial thickness. Post-contrast T1 values are reduced in the presence of diffuse interstitial fibrosis outside the areas of LGE.449,463,464 ECV in HCM is above normal values even in areas without LGE.452 Prolonged native T1 values and elevated ECV may be present even in patients without LGE and outflow tract obstruction, suggesting diffuse myocardial fibrosis, and are related to the degree of LVH, being an early marker of disease.465 In a cohort of 263 patients with HCM, elevated ECV values during a mean follow-up of 28 months were associated with the occurrence of cardiac events (death, heart transplant, HF, resuscitated cardiac arrest, and cardiac arrest after syncope).450 In the differential diagnosis between HCM and athlete's heart, native T1 and ECV values were characteristically normal or reduced in adaptive hypertrophy in athletes.428

3.1.11. DCM

In patients with DCM, native T1 and ECV values are increased and post-contrast T1 values are reduced compared with healthy controls.449,466 ECV values reflect the myocardial collagen content in DCM and can serve as a noninvasive tool to monitor treatment response and to assist in risk stratification at different stages of the disease.467 A recent meta-analysis of 1,242 patients showed that ECV and native T1 had high prognostic value for a composite outcome of mortality and morbidity, with HR 1.38 (95% CI, 1.18-1.61) and HR 1.20 (95% CI, 1.14-1.27), respectively.468 These findings suggest that native T1 and ECV values may help identify potentially severe patients who will develop major cardiovascular complications.468

Other conditions can change myocardial mapping, such as chemotherapy-induced cardiotoxicity, valvular cardiomyopathy (classically, aortic stenosis), heart transplant, and systemic diseases with cardiac involvement (eg, systemic lupus erythematosus, rheumatoid arthritis, and systemic sclerosis).428 Diagnostic investigation with mapping in these scenarios assists in the early identification of disease activity, which is normally not visualized by other methods in the acute phase. Table 25 presents the recommendations for the use of multiparametric mapping in CMR.

Table 25
Recommendations for the use multiparametric mapping in the assessment of cardiomyopathy

3.2. Investigation of CAD Using MRI – Myocardial Ischemia

The last 3 decades have shown a steady increase in the use of CMR for the diagnostic and prognostic assessment of ischemic heart disease.

Stress CMR presents several technological advantages that result in superior diagnostic accuracy compared with other commonly used methods, such as myocardial scintigraphy and ECG stress test. CMR provides a wider field of view, higher spatial resolution, and consequently greater ability to differentiate between multiple tissues. Furthermore, the high spatial resolution of CMR allows the identification of perfusion defects in several subendocardial layers. Perfusion defects are identified through the first pass of gadolinium-based contrast agents, which makes the technique less susceptible to loss of accuracy in the setting of balanced ischemia.

CMR can assess multiple parameters of ischemic heart disease, such as detection of ischemia, presence of fibrosis/necrosis following myocardial infarction, determination of myocardial viability, and more recently, myocardial T1 and T2 parametric mapping and ECV.

CMR has high accuracy and reproducibility for the analysis of global and segmental biventricular function, regardless of ventricular geometry and patient biotype. In the evaluation of patients with sequelae of AMI, such as aneurysms and pseudoaneurysms, CMR can accurately identify cardiac chamber volumes and geometry (in addition to the infarcted area), being important in the evaluation of improvements in cardiac function and ventricular anatomy after myocardial revascularization procedures.485,486 Therefore, CMR is an appropriate method for assessing global and segmental ventricular contractility and function, and is currently considered the gold standard for this purpose.487,488

3.2.1. Detection of Myocardial Ischemia

Currently, the presence of myocardial ischemia can be detected by first-pass stress-rest MPI or by assessing contractility through dobutamine-induced myocardial ischemia, where the former has higher sensitivity and the latter has higher specificity.489491

3.2.2. Assessment of Myocardial Perfusion

Currently, MPI is the most common method to assess ischemic heart disease. MPI is usually performed in 2 phases (stress and rest), with gadolinium infusion to define hypoperfused areas. Infusion of vasodilators, such as dipyridamole and adenosine, induces significant hyperemia of the coronary microcirculation not associated with significant epicardial stenosis. However, the same does not occur in territories supplied by coronary arteries with significant stenosis, which already present maximal compensatory vasodilation (coronary reserve mechanism). This difference in perfusion between ischemic and remote territories allows the identification of myocardial perfusion defects, providing important information for patient management and prognosis.492

Myocardial perfusion is often assessed visually or, less frequently, by semi-quantitative or quantitative analysis (requiring specific software). CMR MPI assesses ischemia by comparing stress images vs rest images, which are obtained after reversal of dipyridamole stress by aminophylline. LGE images should be analyzed together when reading myocardial perfusion images because areas of severe ischemia (obstruction > 90%) may have perfusion deficits in both the stress and rest phases. However, as myocardial fibrosis can be visualized directly by the LGE technique, the rest phase is not mandatory.

The assessment of ischemia using CMR MPI has high diagnostic accuracy and was compared with other diagnostic methods in the early 2000s. Single-center studies have demonstrated that CMR is superior to scintigraphy, with values similar to those of PET.493 The multicenter MR-IMPACT study, published in 2008, showed high diagnostic power of CMR MPI to detect ischemia.494

Following the evolution of knowledge, meta-analyses have been published. Nandalur et al.,495 in a meta-analysis of 1,183 patients, reported that CMR had a mean sensitivity of 91% and specificity of 81% to detect obstructive CAD. In 2010, Hamon et al.496 published a study showing high sensitivity (89%) and specificity (80%) in the diagnosis of obstructive CAD.

Recent studies with larger sample sizes have been published and demonstrated the great utility of stress CMR in daily cardiological practice. Studies such as MR-IMPACT II, published in 2013, demonstrated the superiority of the method compared with myocardial scintigraphy.494,497 The CE-MARC study, published in 2012,10 evaluated 752 patients and compared CMR with angiography as the gold standard for defining stenosis > 70% or left main stenosis > 50%, with sensitivity and specificity of 87% and 83% respectively.

The prognostic value of CMR in ischemic heart disease presents consistent data. The Magnetic Resonance Imaging for Myocardial Perfusion Assessment in Coronary Artery Disease (MR-INFORM) trial evaluated 918 symptomatic patients and compared different investigation strategies, demonstrating that the CMR strategy is not inferior to the invasive FFR strategy (3.7% for FFR vs 3.6% for CMR), with no difference at 12 months for primary outcomes.498 The Stress CMR Perfusion Imaging in the United States (SPINS) study evaluated 2,349 patients with chest pain and showed that the absence of ischemia or LGE was associated with a low incidence of cardiovascular events within 5 years of CMR.499

The assessment of ischemia by MRI is strongly supported by studies conducted in multiple clinical scenarios comparing it with different methods to detect ischemic heart disease. Furthermore, in the last decade, several studies have evaluated the prognostic factor of the presence/absence of perfusion deficits, proven to be a useful tool for risk stratification. Also, several international guidelines highlight the importance of this method in the assessment of ischemic heart disease.

3.2.3. Assessment of Segmental Contractility/Contractile Reserve

Dobutamine stress MRI is the most widely used method for ischemia by assessing segmental contractility or contractile reserve, given the technical difficulties involved in performing physical exercise inside the MRI scanner.

Therefore, with increasing doses of dobutamine, myocardial ischemia during the stress test can be defined as a new segmental contractile deficit resulting from dobutamine infusion or the occurrence of a biphasic response, that is, increased myocardial contractility at low doses and segmental dysfunction at high doses of dobutamine.430

The advantages of dobutamine stress CMR over ECG are due to the high image quality and, consequently, high reproducibility of results, since acoustic window problems do not occur with CMR.500

The protocol to assess ischemic heart disease with dobutamine stress CMR follows the same protocol used in stress echocardiography, with increasing doses of the drug (10, 20, 30, and 40 mcg/kg for 3 minutes), with or without the addition of atropine after the 40 mcg/kg dose, with the aim of reaching the patient's submaximal heart rate.501 The complication rate in CMR is low, less than 0.1%, similar to that of stress echocardiography.502 The image acquisition protocol involves sequences for dynamic assessment of function (cine) in different cutting planes, covering the 17 myocardial segments.501 Qualitative analysis is commonly performed in clinical practice, but quantitative assessment techniques (eg, tagging) have been used in clinical studies, demonstrating that they facilitate the identification of ischemia both qualitatively and quantitatively.

The first dobutamine stress CMR studies were published in the 1990s and showed the high accuracy of the method for diagnosing coronary obstructions ≥ 50%, with a sensitivity of 81% to 84%.503 A meta-analysis conducted by Nadalur et al. demonstrated high sensitivity (83%) and specificity (86%) for the diagnosis of significant CAD in high-risk patients.495

Dobutamine stress CMR, as well as CMR MPI with dipyridamole stress, is important in the prognostic evaluation of patients. A normal dobutamine stress CMR indicates a low event rate (< 2% at 2 years).504 The presence of segmental dysfunction identifies patients at risk for AMI and death from cardiac causes.505 Ischemia diagnosed by motility abnormalities in dobutamine stress CMR is an independent predictor of cardiac events (HR 5.42 at 3 years; p < 0.001), regardless of patient sex.506,507

However, dobutamine stress CMR has limitations, such as adequate patient monitoring during imaging (since the magnetic field can alter the ECG tracing, making it impossible to assess the ST segment), and contraindications specific to dobutamine infusion.

Table 26 presents the recommendations for the use of MRI in the investigation of myocardial ischemia.

Table 26
Recommendations for the use of magnetic resonance imaging in the investigation of CAD – myocardial ischemia

3.3. Investigation of DAC Using MRI – Myocardial Viability

CMR with LGE is considered the most clinically accessible method for assessing myocardial viability. Imaging for myocardial viability can help in both diagnostic and prognostic evaluation. However, clinical trials have challenged its effectiveness, indicating that imaging for myocardial viability may fail to accurately predict which patients will benefit from myocardial revascularization in terms of reduction of adverse cardiac events.516,517 Nevertheless, a recent reevaluation of myocardial viability based on advanced CMR techniques and518 long-term follow-up data from randomized studies has emerged.519 Moreover, most of the major clinical studies that initially questioned the effectiveness of imaging for myocardial viability did not use CMR. Thus, imaging for myocardial viability still has significant clinical implications, and new ongoing randomized clinical trials suggest that myocardial viability plays a crucial role in clinical assessment.520 Therefore, despite ongoing debate, CMR still has significant potential for the assessment of myocardial viability with the aim of improving patient outcomes.521523

3.3.1. CMR Techniques

CMR is able to characterize suspected hibernating myocardium using a combination of techniques: LV end-diastolic wall thickness (EDWT), inotropic reserve of segmental contractile function, and transmural extent of myocardial LGE. Other CMR methods for evaluating myocardial viability are not routinely used in clinical practice and are beyond the scope of this Guideline.

In patients with chronic CAD, wall thinning develops as a result of infarct resorption and fibrotic contracture, but it may also occur as a result of severe ischemia. Thus, EDWT alone has limited prediction of functional recovery after revascularization. Classically, an EDWT < 5.5 mm had no potential for segmental functional recovery after revascularization,524 with a sensitivity of 94% but a specificity of only 52%. This cutoff has been questioned in a recent study estimating that approximately 20% of dysfunctional and thinned myocardial segments have limited scar burden and demonstrate improved contractility and resolution of wall thinning after coronary revascularization.525

Gadolinium-based contrast agents (GBCAs) shorten the T1 relaxation time of surrounding tissues proportionally to local gadolinium concentration. Gadolinium is a large, high-density element that enters the extracellular space after intravascular injection but cannot cross the cell membrane of a normal myocyte. However, when the myocyte cell membrane is damaged (eg, acute MI) or if there is an increase in the extracellular space between myocytes, GBCA accumulates in the extracellular space, and its washout is delayed after the injection. Thus, areas of abnormal myocardium will have a bright signal on images relative to the surrounding normal myocardium. Myocardial LGE in both acute and chronic MI is believed to result directly from an absence of viable myocytes ("bright is dead").526

In clinical routine, current protocols recommend performing LGE imaging 5 to 10 minutes after GBCA injection.527,528 In patients with CAD, dysfunctional myocardium with normal nulled signal intensity suggests myocardial stunning or hibernation and an absence of infarction. LGE in acute and chronic MI will appear brighter (white) and will almost always involve the LV subendocardial layer, being often restricted to a specific coronary artery territory. In patients with CAD and global or segmental LV dysfunction being evaluated for benefits of coronary revascularization, the transmural extent of myocardial LGE provides a prediction of the stepwise decreasing likelihood of improvement in segmental myocardial contractility after revascularization.422 Akinetic segments with no or minimal subendocardial infarction (< 25%) have a > 90% chance of segmental recovery of contractile function if the involved coronary artery is successfully revascularized. Segments with > 50% transmural extent of infarction have a < 10% chance of segmental contractile recovery irrespective of successful coronary revascularization.422 Finally, segments showing 25%–50% transmural extent of infarction typically have a likelihood of contractile recovery close to 50% and are, therefore, considered viable segments with preserved potential for contractile recovery.12,418,421,529531 However, prediction of functional recovery based on LGE transmural extent alone in segments with 25%–50% extent may not be accurate, and other criteria such as infarct size (percentage of LV with infarction), number of viable and nonviable segments, adjacency to nonviable segments, and assessment by inotropic contractile reserve should be considered.532535

One advantage of CMR with LGE is the ability to assess the presence of subendocardial MI and to delineate the transmural extent of MI at high spatial resolution (typically 1-3 mm in-plane resolution), allowing the detection of small infarcts that would be missed by other imaging methods.421

Inotropic contractile reserve in response to low-dose dobutamine infusion (5-10 μg·kg−1·min−1) is a well-validated physiological parameter of myocardial viability assessed by either echocardiography or CMR.532,536,537 Compared with other parameters, inotropic contractile reserve tends to achieve a higher specificity because it examines a similar endpoint of segmental contractile function, but with lower sensitivity. Although dobutamine-induced contractile reserve has a higher specificity than the transmural extent of myocardial LGE for predicting segmental functional recovery, especially in intermediate cases (25%-50%),532 it is only moderately sensitive in the prediction of segmental contractile recovery.538 The combination of these techniques may make prediction of segmental functional recovery after revascularization more accurate. In this setting, LGE provides the highest sensitivity of 95%, which is complemented by a high specificity of 91% offered by dobutamine contractile reserve.539

3.3.2. Routine Clinical Use

3.3.2.1. Acute Setting

In patients with AMI, by determining the transmural extent of the infarcted area, CMR helps to differentiate stunned or hibernating segments (viable myocardium) from fundamentally necrotic or fibrotic tissue with no potential for functional recovery (irreversible injury).540 CMR is an accurate tool to measure cardiac function, adverse remodeling,541 and the extent of microvascular obstruction (no-reflow).542544

In this setting, CMR with LGE should be performed in patients with extensive segmental contractile dysfunction (eg, akinetic anterior wall) in association with obstructive CAD amenable to either surgical or, preferably, percutaneous revascularization. An algorithm for the assessment of myocardial viability in AMI using MRI is presented in Figure 5. In patients with MI, the predictive power of contractile recovery in the acute stage is similar to that in the chronic stage. However, in the acute stage, the reduction in infarct size promoted by the healing process (overall LGE may decrease by approximately 22% in the first 6 months after MI) should also be considered when evaluating LGE extent.418,545

Figure 5
Assessment of myocardial viability using magnetic resonance imaging (acute setting). *Defined by anginal symptoms, electrocardiographic monitoring, or imaging testing. CMR: cardiac magnetic resonance imaging; ECHO: echocardiography; LGE: late gadolinium enhancement; LV: left ventricular; PET: positron emission tomography.
3.3.2.2. Chronic Setting

The assessment of myocardial viability to predict which patients will have improved global or regional ventricular function after myocardial revascularization is of great clinical utility.546

In chronic MI, CMR was shown to be superior to SPECT scintigraphy421,547 and to have similar sensitivity and specificity to PET in the identification of areas of fibrosis,57,548 especially subendocardial infarction. The assessment of the transmural extent of myocardial LGE allows for highly accurate prediction of regional function recovery after either surgical or percutaneous revascularization.422,518,549551

A study demonstrated a strong association between myocardial viability on noninvasive testing and improved survival after revascularization in patients with chronic CAD, LV dysfunction, and coronary anatomy amenable to revascularization.552 Conversely, absence of viability was associated with no significant difference in mortality in these patients.552

A common use of LGE in our practice is for the investigation of akinetic and dyskinetic segments, including for suspected LV aneurysm, particularly if the patient is scheduled for surgical revascularization. The absence of myocardial viability in these segments can help guide the decision on whether to perform aneurysmectomy or correction of LV geometry, as well as assist the cardiac surgeon in preoperative planning.485 Although the prognostic value of this approach has not yet been confirmed, the presence of myocardial viability portends a better prognosis irrespective of the chosen therapeutic approach: optimal medical therapy or surgical revascularization.1,516

In patients with regional dysfunction at rest, low-dose dobutamine stress CMR has proven useful in the assessment of contractile reserve.538 Patients with preserved myocardial viability experience improvement in segmental ventricular dysfunction during low-dose dobutamine infusion. In these patients, systolic thickening is more likely to improve after myocardial revascularization.532,539,553

An algorithm developed to guide management of patients with coronary anatomy amenable to myocardial revascularization is fundamentally based on the assessment of myocardial viability and the presence of myocardial ischemia. Contractile dysfunction and wall thinning are less important in chronic than in acute cases, as they may result from myocardial hibernation/stunning or absence of myocardial viability (transmural infarction).525,534 Similarly, patients showing 25%-50% transmural extent of myocardial LGE benefit the most from assessment of contractile reserve with dobutamine and of metabolic reserve with PET imaging (Figure 6).532,539,553

Figure 6
Assessment of myocardial viability using magnetic resonance imaging (chronic setting). *Defined by anginal symptoms, electrocardiographic monitoring, or imaging testing. CMR: cardiac magnetic resonance imaging; ECHO: echocardiography; LGE: late gadolinium enhancement; PET: positron emission tomography.
3.3.3. Class of Recommendation and Level of Evidence

International guidelines have been progressively increasing the role of CMR in the assessment of myocardial viability. In ACS, CMR has a Class I recommendation and Level of Evidence B for suspected stress cardiomyopathy (Takotsubo) and for the differential diagnosis of myocardial infarction with nonobstructive coronary arteries (MINOCA).554 The assessment of myocardial viability has a Class IIa recommendation and a Level of Evidence B for patients with known CAD presenting with HF,139,555,556 and a similar recommendation is observed for the evaluation of ventricular arrhythmia in CAD.557 Similar indications with high Classes of Recommendation and Levels of Evidence were endorsed by the 2006558 and 20142 SBC/CBR guidelines on CMR and CCTA, respectively.

Table 27 presents recommendations from the III CMR and CCTA Guidelines, based on the best scientific evidence compiled by the expert group at the time of its development.

Table 27
Recommendations for the use of magnetic resonance imaging in the assessment of CAD – myocardial viability

3.4. Coronary Magnetic Resonance Angiography

The diagnosis of CAD and the assessment of myocardial ischemia are critical for the prevention of future cardiovascular events.

Coronary magnetic resonance angiography (CMRA) does not require the use of ionizing radiation or contrast agents. Despite early recognition of its potential, significant technical limitations, such as low spatial resolution, longer acquisition times, and low signal-to-noise ratios that compromise image quality, have led to the replacement of CMRA with other noninvasive techniques for the assessment of CAD. Due to its technical advantages over CMRA and a faster acquisition time, the role of CCTA has increased in routine clinical practice.573575 CMRA has been used as a noninvasive method for assessing CAD in different patient populations, in both single-center576,577 and multicenter studies,578,579 but it has not shown good reproducibility in real-world settings. However, CMRA was shown to be valuable in the characterization of congenital CAAs, for which it is considered the clinical method of choice, particularly when there are concerns about the use of radiation and contrast agents.580,581

In summary, there are 3 main lines of research development in coronary artery evaluation by CMR:

  1. Assessment of the degree of coronary stenosis with the implementation of techniques that significantly reduce signal intensity in regions with greater stenosis.582,583

  2. Characterization of plaque features and vulnerability.584,585

  3. Physiologic assessment of coronary artery flow, including coronary blood flow analysis using phase-contrast techniques,586 coronary sinus blood flow,587 coronary flow reserve, and flow gradient across coronary stenoses.588,589

Current evidence indicates that CMRA may be used in clinical practice to investigate the origin of coronary arteries and the presence of Kawasaki disease (proximal segments with larger diameters), with a Level of Evidence IIa (Table 28).

Table 28
Recommendations for the use of coronary magnetic resonance angiography

The assessment of the degree of stenosis, coronary flow reserve, and flow gradient across stenoses is still being investigated.

3.5. Differential Diagnosis of Troponin-positive Nonobstructive Coronary Arteries (TP-NOCA/MINOCA)

Although the diagnosis of AMI is typically associated with the presence of coronary obstruction, there is a significant number of patients (~6%-8%)595 with ACS but no angiographic obstructive CAD.596 The diagnosis of MINOCA requires documentation of an AMI and invasive coronary angiography or CCTA showing no significant obstruction.597 In addition, like the diagnosis of MI, it indicates that there is an ischemic mechanism responsible for the myocyte injury, meaning that nonischemic causes such as myocarditis and Takotsubo syndrome are excluded. The latest definition of MI from the European Society of Cardiology598 specifies 3 criteria that must be met to confirm MINOCA: 1) the usual criteria for MI (abnormal cardiac biomarkers in the setting of evidence of AMI); 2) no stenosis ≥ 50% on coronary angiography; and 3) no other clinically overt specific cause for myocardial injury (eg, myocarditis or PE). In this section, we will discuss some differences in clinical presentation commonly seen in differential diagnoses of MINOCA.

Many investigators consider MINOCA, like HF, a working diagnosis due to the difficulty in determining its etiology to guide clinical treatment.597 Therefore, some conditions sharing features with type I or II AMI should be considered in the differential diagnosis of MINOCA. These include ischemic diseases resulting from coronary plaque erosion, rupture, or ulceration, coronary dissection, thromboembolism, microvascular coronary spasm, coronary embolism, as well as inflammatory cardiomyopathies (myocarditis of any etiology), Takotsubo syndrome, or even PE.599 Thus, the accurate diagnosis of MINOCA is crucial for choosing the best therapeutic approach for both ischemic and nonischemic cases.600 Due to their diagnostic complexity, it has been suggested to encompass the aforementioned conditions under the term "troponin-positive with nonobstructive coronaries arteries" (TP-NOCA), which would refer to syndromes characterized by troponin elevation in the absence of coronary obstruction, with troponin elevation being the common marker. The causes of TP-NOCA could then be subcategorized into epicardial coronary (eg, MINOCA), myocardial (eg, myocarditis), and extracardiac (eg, PE).601

CMR is one of the most important tools for determining the etiology of MINOCA, being able to identify a cause in 74% of cases.602 When present, LGE allows localization of the area of myocardial injury and provides evidence of the mechanisms involved. Additionally, CMR helps identify patients with a poor prognosis, potentially altering clinical treatment in approximately 50% of cases,603 and allows for personalized medical treatment (including secondary prevention). Moreover, CMR can prevent the unnecessary prescription of medications and their side effects, such as bleeding in the case of antiplatelet agents.602

Approximately 23% of MINOCA cases are associated with nonobstructive coronary atherosclerosis. These cases are commonly caused by plaque erosion or ulceration, which leads to acute thrombosis and vessel recanalization, resulting from prolonged vasospasm.595 CMR can confirm the diagnosis of MI with the use of LGE and allows its differentiation from other lesions, such as myocarditis, by evaluating the presence of edema using either conventional T2-weighted imaging or parametric mapping (T1 and T2 maps).604

Another relevant cause of myocardial injury that is commonly confused with MINOCA is myocarditis, which corresponds to approximately 29% of cases.595 Viral infection is the most common cause of myocarditis, having gained greater repercussion after the Covid-19 pandemic, and is associated with myocardial changes in approximately 50% of recovered patients.605608 The use of CMR in the evaluation of myocarditis will be addressed in a dedicated section of this Guideline.

Approximately 16% of MINOCA cases will present as Takotsubo syndrome.595 CMR is an excellent diagnostic tool in this setting, as it allows the identification of dyskinetic areas in any segment of the LV, although transient apical dyskinesia is the most frequent manifestation of Takotsubo syndrome. Furthermore, it can identify areas of myocardial edema, being regarded as the method of choice in recently published consensuses.609 The inflammatory phase, in which myocardial edema can be detected, usually disappears within 3 months.610 Control CMR may be requested in these cases to assess for reversal of dyskinesia, as well as disappearance of myocardial edema, thus confirming the Takotsubo diagnosis. LGE is not commonly seen in this syndrome. However, in the acute phase of inflammation, small patches of LGE may be seen in dyskinetic areas due to an increase in interstitial space.

HCM, nonischemic DCM, and amyloidosis are less common and may even be the cause of MINOCA in 3%, 2%, and less than 5% of cases, respectively.595,604 They will be addressed in specific sections of this Guideline.

Thus, due to its excellent performance in accurately diagnosing infarcted areas related to MINOCA, CMR is highly recommended in the diagnostic investigation of TP-NOCA/MINOCA, with a Class I recommendation and Level of Evidence B609,610 (Table 29).

Table 29
Recommendations for the use of cardiac magnetic resonance imaging in the evaluation of positive-troponin with nonobstructive coronary arteries

3.6. Stress Cardiomyopathy (Takotsubo)

Takotsubo cardiomyopathy (also known as stress cardiomyopathy or broken heart syndrome) was first described by Japanese authors in 1990.614 It most commonly affects women over 55 years of age and is characterized by chest pain and ECG changes mimicking AMI, in association with characteristic dysfunction of the mid and apical segments of the LV.615,616 Classically, it does not cause significant coronary obstruction and is preceded by major physical or emotional stress.617 More recently, cardiac alterations similar to Takotsubo cardiomyopathy have been described in patients with Covid-19.618,619

The current diagnostic criteria (InterTAK Diagnostic Criteria) include reversible LV dysfunction presenting as apical ballooning; history of emotional or physical stress; ECG abnormalities; and moderately elevated cardiac markers (disproportionately to ventricular dysfunction).619 The presence of CAD does not rule out Takotsubo syndrome, as both conditions may coexist, and the presence of myocarditis or irreversible myocardial injury (infarction) should be excluded.609

CMR is useful in the evaluation of suspected Takotsubo syndrome because of its ability to assess global and segmental function and characterize myocardial tissue.620,621 The CMR protocol should include techniques such as cine MRI, dark-blood T2-weighted imaging, and LGE. When available, parametric mapping techniques (native T1 map, ECV, and T2 mapping) may be useful in the identification of myocardial changes in normal segments by visual assessment.622

The presence of characteristic segmental dysfunction associated with reversible myocardial damage (edema) is highly suggestive of Takotsubo cardiomyopathy. LGE does not typically occur in the classic form of Takotsubo syndrome, but LGE with a lower signal intensity has been described in hyperacute settings.620,621

CMR is also useful in the evaluation of other differential diagnoses that should be ruled out to confirm Takotsubo syndrome, such as MI and myocarditis, as well as in the identification of complications such as intracardiac thrombi.620

In summary, CMR is useful in the initial evaluation of suspected Takotsubo syndrome, as it can contribute to the detection of diagnostic features and differentiation from other conditions with similar clinical characteristics.623Table 30 presents the recommendations for the use of CMR in Takotsubo cardiomyopathy.

Table 30
Recommendations for the use of cardiac magnetic resonance imaging in the assessment of stress cardiomyopathy (Takotsubo syndrome)

3.7. Myocarditis/Inflammatory Cardiomyopathy

Myocarditis is an inflammatory disease of the heart that may occur due to infections, exposure to toxic substances, or immune system activation.627 Viral infection is the most common cause, and clinical presentation ranges from asymptomatic to sudden death. Common symptoms include precordial pain, dyspnea, fatigue, palpitations, and syncope.628 ECG changes are seen in 85% of cases, including ST-segment elevation, QRS widening, and arrhythmias associated with elevated biomarkers of myocardial necrosis (high-sensitivity troponin).627

Myocarditis is diagnosed based on a combination of clinical presentation, physical examination, laboratory tests, and imaging studies. CMR is useful because it is sensitive to tissue changes that occur during myocardial inflammation.419,437 The diagnosis of myocarditis by CMR relies on the Lake Louise Criteria, revised in 2018 to incorporate parametric mapping techniques and ECV measurement, thereby increasing diagnostic accuracy. Acute myocardial inflammation may be detected if at least 1 criterion from each category is present,437 including myocardial edema by T2-weighted imaging or T2 mapping and myocardial injury by LGE, increased native T1, or increased ECV.437,629 T2 relaxation times are most elevated during the acute phase of myocarditis and gradually normalize over the following months, and this feature may be useful for both diagnosis and monitoring recovery.630 T1 relaxation times may be prolonged due to intracellular or extracellular edema, hyperemia, and the presence of areas of fibrosis, while ECV may be expanded due to extracellular edema.437,630 Having both criteria positive increases diagnostic specificity, while having only one may still support a diagnosis of acute myocardial inflammation in an appropriate clinical setting.437 In the absence of LGE and positive clinical features, changes in native T1 mapping and ECV may be indicative of myocardial injury. In these cases, increased native T1 values in non-LGE areas showed a greater sensitivity with T1 mapping without increasing false positives.628

In addition to diagnostic utility, CMR also provides prognostic insight. Biventricular dysfunction resulting from significant myocardial involvement is a major predictor of death. The presence of LGE also predicts mortality and is correlated with the risk of sudden death and the development of LV dilatation and reduced EF.628 An EF ≤ 40% in association with LGE increases the risk of MACE by 10% per year.628

Covid-19 has been frequently associated with myocardial injury. At follow-up, the most common finding is diastolic dysfunction (55%), but only 2.8% have reduced LVEF. In patients with acute Covid-19, the most common CMR findings include abnormal T2 and native T1 times, pericardial abnormalities (myopericarditis), and a nonischemic pattern of LGE. Recovered patients who had moderate-to-severe COVID-19 often have abnormal CMR findings, the most common being pericardial and myocardial LGE (especially subepicardial and mid-wall) and lower LV and RV EFs compared with controls. Native T1 and T2 maps were also higher in these patients. Asymptomatic patients or those with mild symptoms did not have significant changes compared with controls.631

CMR in suspected myocarditis has a Class I indication for the diagnostic and prognostic investigation of acute and chronic myocarditis and/or suspected prior myocarditis (Table 31). The recent incorporation of parametric T1 and T2 mapping and ECV data increases diagnostic sensitivity.

Table 31
Recommendations for the use of cardiac magnetic resonance imaging in the assessment of myocarditis/inflammatory cardiomyopathy

3.8. Athlete's Heart

Athlete's heart syndrome is typically observed in elite athletes and, depending on the type of training, may lead to increased heart volumes and diameters, increased ventricular mass, or a combination of both.632635 These findings are typically assessed by echocardiography, but CMR can be useful in cases where echocardiography is inconclusive.636640

Differentiating between athlete's heart and other cardiomyopathies that share similar features is crucial to avoid significant consequences related to misdiagnosis. Sudden death in athletes may occur in seemingly healthy individuals with no previous known cardiovascular abnormalities.636,641

Early forms of HCM, DCM, and left ventricular non-compaction/excessive trabeculation of the left ventricle should be included in the differential diagnosis of athlete's heart.642 In addition, associated conditions such as arrhythmogenic cardiomyopathy, myocarditis, and even CAD may increase the risk of adverse outcomes if undiagnosed.638

CMR is the gold standard for the quantification of ventricular volumes and function. Normal reference values have already been established for the general population,581,643 and a recent systematic review634 provided reference values for male athletes. End-diastolic volume and ventricular mass varied between endurance-trained and resistance-trained male athletes and according to the type of sport.

Differentiating between athlete's heart and early-stage cardiomyopathy is not always straightforward, and the accurate measurements provided by CMR may assist in this process. LGE imaging for assessing fibrosis can help support the diagnosis. For example, myocardial fibrosis is not expected in patients with athlete's heart but is a common finding in patients with HCM (although myocardial fibrosis has been described in some marathon runners and triathletes).644,645 Data on the geometric pattern of hypertrophy, LVOT obstruction, and left atrial remodeling also provide further diagnostic insight. If present, they suggest the diagnosis of HCM. In some cases, interruption of training with monitoring of parameters such as mass, volume, and EF may be the only way to resolve the differential diagnosis.646 Most cardiovascular changes seem to regress after 9 to 12 weeks of detraining, but LV dilation may persist in 20% of cases.647

Parametric mapping can assist in the differentiation between athlete's heart and other cardiomyopathies. T1 mapping and ECV fraction are typically lower in athlete's heart than in other cardiomyopathies,648 but more studies are needed to better evaluate the role of these techniques in the differential diagnosis.

CMR allows for a more accurate measurement of heart parameters than other methods, making it highly suitable for the evaluation of athlete's heart648 and to differentiate it from other cardiomyopathies. Table 32 presents the recommendations for the use of CMR to assess changes in cardiac morphology in athletes.

Table 32
Recommendations for the use of cardiac magnetic resonance imaging in the assessment of athlete's heart

3.9. Hypertrophic Cardiomyopathy

HCM is a hereditary disease characterized by progressive LVH in the absence of associated hemodynamic stress or systemic diseases related to myocardial deposition (eg, CA). Potential complications include sudden death, LVOT obstruction, HF, and thromboembolic stroke, making it the leading cause of sudden death in young athletes. Nevertheless, the use of conventional treatment as well as an ICD in high-risk patients can reduce mortality to less than 1% per year.652656

The diagnosis of HCM through echocardiography or CRM is based on the presence of a maximal LV wall thickness of ≥ 15 mm in the absence of any other causes of LVH.657 In family members of a patient with HCM or in conjunction with a positive genetic test, a LV wall thickness of 13-14 mm can be diagnostic.658660

The basal anterior septum in continuity with the anterior free wall is the most common location for LVH. However, the pattern and location of LVH can vary widely even without an increase in total myocardial mass. Other morphologic abnormalities may also occur in HCM, such as apical hypertrophy, myocardial crypts, anomalous papillary muscle insertion, mitral valve leaflet elongation, and RV hypertrophy.653,661

CMR is crucial in the diagnostic evaluation of patients with HCM, particularly those in whom echocardiography presented some limitation (eg, poor acoustic window) or when there is doubt about the indication of an ICD due to the risk stratification of arrhythmic events.419

The pattern of myocardial fibrosis also varies in patients with HCM, but typically presents as multifocal fibrosis (sometimes mimicking the pattern of myocardial fibrosis due to MI). Syncope, nonsustained ventricular tachycardia, a family history of sudden death, a drop in blood pressure during exercise, and LV wall thinning are independent risk factors for sudden death in HCM.653,661,662

The identification of risk markers such as apical aneurysms, decreased systolic function, and the quantification of myocardial fibrosis by LGE also makes CMR increasingly important in the evaluation of HCM. The quantification of myocardial fibrosis in particular makes CMR essential in many patients with HCM.663,664

The identification of the following risk factors by CMR indicates a worse prognosis in patients with HCM: 1) LVEF < 50%; 2) LV wall thickness > 30 mm; 3) apical aneurysm; and 4) LGE, representing fibrosis, comprising > 15% of LV mass (either quantified by software or estimated by visual inspection).664666

Table 33 presents the main anatomic features associated with HCM on CMR.

Table 33
Anatomic features associated with hypertrophic cardiomyopathy on cardiac magnetic resonance imaging

CMR is an important tool in suspected HCM and has become essential in sudden death stratification, especially for tissue characterization and estimation of the degree of myocardial fibrosis. Table 34 presents the recommendations for the use of CMR in suspected HCM.

Table 34
Recommendations for the use of cardiac magnetic resonance imaging in the assessment of suspected hypertrophic cardiomyopathy (HCM)

3.10. Endomyocardial Fibrosis

The pathogenesis and etiology of EMF are largely unknown, but are commonly attributed to parasitic infections (eg, helminths) and genetic susceptibility, leading to eosinophilia and elevated immunoglobulin E. Tropical EMF is considered endemic in developing countries, including Brazil,677 while Loeffler's endocarditis, the late form of hypereosinophilic syndrome, usually occurs in temperate zones. EMF is characterized by ventricular apical obliteration with or without thrombus and/or calcification, in association with diastolic dysfunction, atrial enlargement, and possibly valve regurgitation. It may affect one or both ventricles, but the rates of ventricular involvement reported in the literature vary according to the method used.678,679

Due to its ability for tissue characterization, CMR is fundamental in the diagnosis of EMF. Cine CMR images can confirm morphofunctional findings that may have already been seen on echocardiography. It is extremely important to rule out differential diagnoses, especially apical HCM and conditions that may occasionally affect the apex, such as aneurysms with thrombus (secondary to HCM, Chagas disease, or infarction) and tumors.680

However, diagnostic confirmation and differentiation from other conditions are primarily made via tissue characterization by LGE. Classically, LGE in EMF is subendocardial, involving the LV and/or RV apex and potentially extending to the inflow tract, while the outflow tracts are usually spared.679 A Brazilian group identified another typical finding termed "double V",681 characterized by a hyper and hypointense double-layered image corresponding to fibrosis plus thrombus/calcification. These findings showed excellent diagnostic and prognostic value679 (Table 35). Table 36 presents the recommendations for the use of CMR in suspected EMF.

Table 35
Morphological and tissue features of endomyocardial fibrosis on cardiac magnetic resonance imaging
Table 36
Recommendations for the use of cardiac magnetic resonance imaging in the assessment of suspected endomyocardial fibrosis

3.11. Cardiac Amyloidosis

CA is an infiltrative disease caused by amyloid fibril deposition in the myocardium. The most common variants leading to CA are amyloid light chain (AL) and amyloid transthyretin (ATTR, hereditary, or wild type) amyloidosis.682 Cardiac involvement may occur in different stages of the disease, has prognostic implications, and requires different treatments depending on its severity. This is why it is extremely important to differentiate between the 2 forms. Current guidelines recommend that diagnosis be made using noninvasive imaging tests and that cardiac biopsy be reserved for exceptional cases. CMR has great clinical applicability in the diagnosis of CA, together with 99mtechnetium pyrophosphate (99mTc-PYP) scintigraphy.

To assist in the differential diagnosis of CA etiology, which includes both restrictive cardiomyopathy and other causes of myocardial hypertrophy,683 CMR protocols currently include several techniques.684 Morphological and functional assessment shows concentric or even asymmetric hypertrophy of the LV and RV, which is more pronounced in ATTR amyloidosis. Involvement of the interatrial septum is common, and CMR can help differentiate between hypertrophy and lipomatous degeneration. LGE in CA has a typical pattern of diffuse subendocardial enhancement, but more advanced cases may display a transmural pattern affecting the entire myocardium.685 LGE not only provides diagnostic information but also has prognostic value, with the chance of event-free survival being inversely proportional to the degree of deposition.686

More recently, the measurement of native T1 map and ECV has been used to assist in the diagnosis of CA, especially in patients who cannot receive contrast.687 Patients with CA have markedly increased native T1 values, and ECV has proven to be an additional prognostic marker even in patients with similar degrees of LGE.

The main indications for CMR in CA include patients with myocardial hypertrophy detected by echocardiography whose etiology is uncertain.688 In patients already diagnosed with amyloidosis where myocardial involvement is to be determined, CMR can be performed even before the phenotypic development of hypertrophy. Finally, CMR can also be useful in clinical practice to establish a prognosis and assist in choosing the most appropriate therapies. Especially in cases where 99mTc-PYP scintigraphy shows weak or no myocardial uptake and hematological tests are positive, CMR is essential for the diagnosis of suspected AL amyloidosis.

Table 37 presents the recommendations for the use of CMR in the diagnostic evaluation of patients with suspected CA.

Table 37
Recommendations for the use of cardiac magnetic resonance imaging in the assessment of cardiac amyloidosis

3.12. Cardiac Hemosiderosis

The diagnosis of myocardial and hepatic iron overload has direct clinical applicability in diseases characterized by repeated transfusions and/or increased intestinal iron absorption due to pathological mechanisms. The main conditions include thalassemias, myelodysplastic syndromes, and hereditary hemochromatosis.698 MRI is the only noninvasive technique available for quantification of tissue iron in these conditions. Serum ferritin is an indirect marker with poor correlation with myocardial iron overload, and invasive biopsy is restricted to the diagnosis of liver iron overload.

MRI assessment of iron overload does not require the use of contrast agents. The most well-known and validated technique is parametric T2* mapping, which was validated in multicenter studies and shown to correlate well with endomyocardial biopsy (EMB).699 T2* is measured in milliseconds and can be used to estimate iron concentrations in both the liver and heart using commercial post-processing software or freely available online tools.700 Iron is quantified at least in the liver and heart because these organs present different absorption rates and mechanisms, often resulting in a disparity in iron accumulation between them.701

In addition to being directly correlated with quantitative cardiac iron overload, cardiac T2* also provides prognostic information and can be used to monitor iron chelation therapy.702 National and international clinical guidelines recommend starting T2* MRI screening at 7 or 10 years of age and repeating it annually; however, this interval may vary from 6 to 24 months depending on the patient's clinical condition and baseline transfusion and iron overload status.471 Myocardial T2* values > 20 ms (< 1.16 mg/g of myocardial iron concentration) are associated with a better prognosis and are considered low risk for HF. Values < 10 ms (> 2.7 mg/g) portend a worse prognosis and are associated with increased risk of HF and arrhythmias (parameters referring to 1.5T MRI scanners).

Recent studies suggest that quantification of tissue iron may also be performed using T1 mapping, which may be more sensitive to detecting mild iron overload.448 However, due to the lower availability and standardization of T1 mapping, it is not routinely used and should be reserved for situations where T2* is unavailable. Table 38 presents the main recommendations for the use of CMR in the imaging of myocardial iron overload.

Table 38
Recommendations for the use of cardiac magnetic resonance imaging in the diagnosis and management of myocardial iron overload

3.13. Other Storage Diseases

3.13.1. Anderson-Fabry Disease

Anderson-Fabry disease is an X-linked lysosomal disorder characterized by a deficiency in alpha-galactosidase A, leading to the progressive accumulation of complex glycosphingolipids, predominantly globotriaosylceramide (Gb3), in muscle cells, endothelial cells, and smooth muscle cells.706 This accumulation in the myocardium, valves, and cardiac conduction system results in increased ventricular wall thickness, thickening of the valve leaflets, and arrhythmias.707,708 The diagnosis of Anderson-Fabry disease is challenging because its morphological and clinical features can mimic other hypertrophic conditions, such as HCM and amyloidosis.

CMR may play an important role in evaluating patients with LVH of unknown origin. T1 mapping is particularly useful in this setting, as low native T1 values may indicate glycosphingolipid deposition even before the onset of parietal hypertrophy.709

The pattern of LGE is typically mid-mural, predominantly in the basal inferolateral segment of the LV, sparing the subendocardial region.710,711

3.13.2. Glycogen Storage Disease

Glycogen storage diseases are hereditary metabolic disorders affecting the synthesis or degradation of glycogen within muscles, liver, and heart tissue.712

Danon disease is an X-linked dominant genetic disorder caused by a deficiency of the LAMP2 protein. In male patients, it manifests with the clinical triad of cardiomyopathy, skeletal myopathy, and intellectual disability, while in female patients it only manifests as cardiomyopathy.712 The cardiomyopathy phenotype is generally hypertrophic, but a dilated phenotype has also been described. Myopathy is usually mild, with proximal muscle weakness, and nerve conduction studies reveal sensorimotor polyneuropathy.713

CMR shows massive hypertrophy (up to 4 cm), usually concentric. Some cases may exhibit asymmetric hypertrophy or a dilated pattern.713,714 LGE is extensive and typically subendocardial and midmural, with nearly transmural involvement. Septal preservation is seen in 88% of patients, while lateral wall and apical LGE are present in nearly all cases.10 Native T1 and ECV values are elevated and correlate with areas of LGE.713

PRKAG2 syndrome is a rare autosomal dominant hereditary disorder similar to Danon disease, but with normal liver function, normal serum creatine kinase levels, and no systemic disease.714 PRKAG2 syndrome presents with ventricular hypertrophy and tachyarrhythmias, which may lead to sudden cardiac death, conduction disorders, severe myocardial hypertrophy, skeletal myopathy, and arrhythmias, often associated with Wolff-Parkinson-White syndrome.714

Cardiac hypertrophy primarily affects the LV and is progressive, accompanied by both systolic and diastolic dysfunction. High-voltage QRS complexes with ventricular repolarization abnormalities are observed even in the absence of LVH on echocardiography.715,716

Table 39 presents the recommendations for the use of CMR in myocardial storage diseases.

Table 39
Recommendations for the use of cardiac magnetic resonance imaging in the evaluation of myocardial storage diseases

3.14. Chagas Heart Disease

Chagas heart disease (CHD) is the most common and severe expression of Chagas disease, a neglected tropical disease caused by the protozoan parasite Trypanosoma cruzi. The pathogenesis of CHD involves a complex interaction between the host and the parasite and is considered multifactorial. Moderate-to-severe inflammation is typically seen in biopsies, as well as microvascular changes, such as spasms, microthrombus formation, platelet activation, endothelial dysfunction, and decreased blood flow ("steal" phenomenon), which contribute to myocardial damage.718,719

CMR has become a key tool in the risk stratification and prognosis of patients with CHD. CMR features of CHD are described in Table 40. In 2005, Rochitte et al. evaluated 51 patients at different stages of CHD and observed myocardial fibrosis in 68.6% of them, including some in the indeterminate phase. LGE was mostly observed on apical and inferolateral segments of the LV, with a primarily midwall and subepicardial pattern, and showed good correlation with established prognostic factors such as LVEF and NYHA class.720 Subsequent studies have also described the presence of fibrosis in patients in the indeterminate phase,721724 as well as its pattern of involvement and impact on segmental function, notably on the inferolateral and apical segments of the LV.722,723 RV systolic dysfunction is more commonly associated with LV systolic dysfunction, although isolated and early RV dysfunction can also be identified.720 Some studies have found a significant prevalence of subendocardial LGE, which supports the hypothesis that myocardial involvement may be due to both ischemic (thromboembolic/microvascular) and nonischemic lesions (inflammatory).721,722

Table 40
Cardiac magnetic resonance imaging features of Chagas heart disease

T1 mapping and ECV have been shown to be useful in the evaluation of CHD. ECV showed an AUC similar to that of LGE in predicting nonsustained ventricular tachycardia.725 In another study, the degree of fibrosis was the main predictor of ventricular tachycardia.726

In chronic CHD, myocardial inflammation was evaluated by T2-weighted spin-echo sequences, presence of edema,723 and early gadolinium enhancement. Confirmation of active inflammation in chronic CHD may have important therapeutic implications, such as more effective patient selection for cause-specific treatment and the potential use of immunomodulatory therapy.

CHD is an independent risk factor for stroke regardless of ventricular function and the presence of cardiac arrhythmias.727,728 Systolic dysfunction, segmental defects, apical aneurysms, fibrosis, and myocardial edema are associated with increased risk of intracardiac thrombus and are commonly described in patients with chronic CHD. In a recent study on cryptogenic stroke, CMR identified abnormalities with embolic potential in more than a quarter of patients, leading to changes in anticoagulant therapy management, with nearly half of these patients having chronic CHD.729

The prognostic evaluation of CMR in chronic CHD was initially described in relation to the presence and extent of myocardial fibrosis with established risk factors (NYHA class, LVEF) and later with the Rassi score.721,724 Recent studies have shown that the presence and extent of myocardial fibrosis are strongly associated with MACE.730,731

A suggested diagnostic flowchart for patients with CHD is illustrated in Figure 7.

Figure 7
Suggested diagnostic flowchart for patients with Chagas heart disease. *The dashed arrow represents a conditional recommendation. ECG: electrocardiography; ECHO: echocardiography; LV: left ventricular; MRI: magnetic resonance imaging; RV: right ventricular.

Table 41 presents the main recommendations for the use of CMR in the diagnosis and prognostic stratification of patients with CHD.

Table 41
Recommendations for the use of cardiac magnetic resonance imaging in the evaluation of Chagas heart disease (CHD)

3.15. Arrhythmogenic Right Ventricular Dysplasia/Cardiomyopathy

Arrhythmogenic RV dysplasia/cardiomyopathy (ARVD/C) is a disease that primarily affects the RV and is associated with ventricular arrhythmias, which sometimes may be fatal.737,738 ARVD/C is not solely confined to the RV; evidence indicates that the LV may also be affected and, in some cases, may even be the predominant site of involvement.739

ARVD/C may account for up to 10% of sudden death cases in young patients.740 The most common symptoms are palpitations and syncope and typically manifest between the second and fifth decades of life.737,738 Desmosomes, which are multiprotein complexes that mediate cell-cell contact and signaling processes, are potentially involved in the etiology of ARVD/C.737,741,742 With accurate diagnosis and appropriate treatment, including the consideration of an ICD, the mortality rate becomes relatively low.737

Characteristic morphofunctional changes in ARVD/C include increased RV volume with focal dilations (also called aneurysms) along the anterior wall of the infundibulum, the subvalvular inferior wall, or the lateral apical region, collectively referred to as the "triangle of dysplasia."737,742 There appears to be a gradual loss of myocytes in these regions, replaced by adipocytes and fibroblasts, together with variable lymphocytic infiltration.

These changes are supported by CMR findings, which include akinetic segments in the RV, increased RV volume, and RV outflow tract (RVOT) enlargement. Initially, fat infiltration in the RV free wall was considered a pathognomonic sign.743 However, fat infiltration has low interobserver agreement (kappa = 0.74) and is no longer considered a diagnostic criterion for the disease.744 Sensitivity of fat infiltration, RV enlargement, and regional RV dysfunction for diagnosing ARVD/C was 84%, 68%, and 78%, and specificity was 79%, 96%, and 94%, respectively.744

In the early, or "concealed," phase of the disease, minimal fibrosis with negative LGE on CMR may be present, and these patients may experience sustained ventricular arrhythmias with a potential risk of sudden death.745 The demonstration of fibrofatty changes in both ventricles via LGE imaging is promising.746

In 1994, an International Task Force proposed criteria for the diagnosis of ARVD/C.747 However, due to limited knowledge about ARVD/C at the time, positive cases were considered mainly those that were symptomatic or those in which sudden death occurred—the most severe presentation of the disease. A new revision of the diagnostic criteria was published in 2010, based on new genetic insights from comprehensive studies of affected family members.748 According to this revision, CMR can provide valuable information about RV contractility and volume, which can constitute either a major criterion for diagnosing ARVD/C (regional akinesia, dyskinesia, or dyssynchronous contraction of the RV associated with an indexed RV end-diastolic volume ≥ 110 mL/m² in men or ≥ 100 mL/m² in women, or an RVEF ≤ 40%) or a minor criterium (regional akinesia, dyskinesia, or dyssynchronous contraction of the RV associated with an indexed RV end-diastolic volume between 100 and 110 mL/m² in men or between 90 and 100 mL/m² in women, or an RVEF between 40 and 45%).

Recently, an expert consensus known as the Padua Criteria expanded the definition of ARVD/C to include a broader spectrum of "arrhythmogenic cardiomyopathy," including left-dominant and biventricular phenotypes. In this new approach, CMR has emerged as the imaging modality of choice due to its detailed morphofunctional analysis capabilities and biventricular tissue characterization. Like the Task Force criteria, the Padua Criteria also need to be validated in clinical studies with large patient cohorts and do not necessarily replace the previous criteria.749

Table 42 presents the main recommendations for the use of CMR in ARVD/C.

Table 42
Recommendations for the use of cardiac magnetic resonance imaging in the evaluation of suspected arrhythmogenic cardiomyopathy (ARVD/C) and risk stratification

3.16. Sarcoidosis

Sarcoidosis is a complex, multisystem granulomatous disease of unknown etiology and heterogeneous presentation. It is characterized by the formation of noncaseating granulomas in virtually any organ, although the lungs and mediastinal lymph nodes are the primary targets. Clinically manifest cardiac involvement has been reported in 5% to 10% of patients.758,759 However, myocardial granulomas have been described in 25% to 58% of autopsy studies,760763 with cardiopulmonary involvement accounting for most of the morbidity and mortality associated with this disease.

The diagnosis of CS is challenging because it presents nonspecific cardiac manifestations that depend on location, extent, and stage of the inflammatory process, with greater involvement resulting in more symptoms. The most common cardiac manifestations are arrhythmias, including atrioventricular blocks, supraventricular arrhythmias, and ventricular tachyarrhythmias, which can occasionally lead to sudden death. HF may be the first manifestation if myocardial involvement is extensive, accounting for up to 25% CS-related mortality.764

EMB is considered the gold standard for the diagnosis of CS, but the reported accuracy of unguided myocardial biopsy is low (25%). Guided biopsy procedures increase the success rate to almost 50%, including in symptomatic patients, and are recommended by consensus guideline.764 In the absence of confirmatory tissue diagnosis, clinical guidelines recommend combining proof of extracardiac disease with evidence of cardiac involvement (particularly through imaging biomarkers), although they lack supportive scientific data (Table 43). Consequently, patients may either present with established extracardiac disease, with or without cardiac involvement, or no systemic involvement.

Table 43
Recommendations for the use of cardiac magnetic resonance imaging in the assessment of sarcoidosis with suspected cardiac involvement

CMR findings depend on the stage of disease. The acute inflammatory phase is characterized by myocardial wall thickening with contractility abnormalities, increased T2 signal (edema), and LGE, while the chronic phase demonstrates focal areas of myocardial thinning and LGE, typically in the basal septum. LGE may be linear subepicardial, transmural, or nodular, with a heterogeneous distribution and a typically nonvascular pattern. LGE involving the RV septum and septal insertion points is also a classic sign of CS.

Table 43 shows the main recommendations for CMR in suspected sarcoidosis.

3.17. Left Ventricular Non-compaction/Excessive Trabeculation of the Left Ventricle

LV noncompaction cardiomyopathy (LVNC) results from failure of the embryonic myocardial compaction process, leading to changes in the ventricular wall anatomy consisting of excessive trabeculations and deep recesses. Clinical presentation includes symptoms of HF, arrhythmias, and thromboembolic events.773 The diagnosis of LVNC is challenging and controversial, partly because myocardial trabeculation is present in a significant portion of the healthy population and in other cardiomyopathies and physiological conditions, such as pregnancy.774

CMR has emerged as a promising tool in the diagnosis of LVNC. The first widely recognized diagnostic criterion was published by Pettersen,775 which assigned a value of 2.3 for the ratio of noncompacted to compacted myocardium (NC/C) in diastole. Later publications introduced criteria such as trabeculated LV mass > 20% and NC/C > 2.0 in systole,776 with the latter showing a better correlation with the occurrence of future cardiovascular events. Some studies also demonstrated the presence of LGE in patients with LVNC, although with a heterogeneous pattern.777 LGE, combined with depressed EF, provides excellent prognostic correlation.778

Recently, an expert panel recommended replacing the term "left ventricular noncompaction" with "excessive trabeculation" of the LV. This recommendation stems from a lack of evidence supporting the embryonic mechanism of myocardial "compaction". In this context, excessive trabeculation should be interpreted as a phenotypic manifestation of certain physiological conditions (eg, pregnancy, physiological adaptations to exercise), as well as congenital or acquired heart diseases, and is not necessarily linked to adverse prognostic outcomes in adults.

Table 44 presents the recommendations for the use of CMR in suspected LVNC/excessive trabeculation of the left ventricle.

Table 44
Recommendations for the use of cardiac magnetic resonance imaging in the assessment of suspected left ventricular non-compaction/excessive trabeculation of the left ventricle

3.18. Muscular Dystrophy

Muscular dystrophy (MD) comprises a group of genetic diseases that affect muscle function. They are caused by mutations in genes encoding several proteins essential for muscle contraction, leading to muscle weakness and progressive loss of function, and may also affect the cardiac muscle and conduction system.

MDs commonly associated with cardiac involvement include dystrophinopathies (Duchenne [DMD], Becker [BMD], and carriers of dystrophin gene mutations), Limb-Girdle, Emery-Dreifuss, and myotonic dystrophy. DMD is the most common muscular dystrophy.782785

Cardiac involvement in dystrophinopathies is frequent and insidious,786,787 affecting approximately 80% of patients.788 As overall survival has increased due to improved ventilatory support (noninvasive mechanical ventilation), spinal stabilization surgery, and corticosteroid treatment, cardiac involvement (HF and arrhythmia) is currently one of the main causes of mortality in DMD.789,790 TTE is the most frequently used test to diagnose cardiac involvement in DMD. However, it is significantly limited by poor acoustic windows due to scoliosis and obesity in these patients and has limited capacity to diagnose subclinical cardiac involvement.791 The assessment of cardiac involvement in MD is primarily based on cine CMR images, and particularly on the identification of myocardial LGE, which typically has a subepicardial pattern and mostly affects the anterolateral and inferolateral segments of the LV.792798

Early and subclinical diagnosis of cardiac involvement related to MDs (DMD and BMD) is crucial for providing adequate cardioprotection with the aim of reducing the adverse effects of cardiac remodeling and alleviate HF symptoms, thus reducing mortality rates.799801

DMD and BMD consensuses and updates recommend that cardiac evaluation be performed from the moment these mutations are identified.791,802804 The National Heart, Lung, and Blood Institute (NHLBI) published an update on cardiac involvement in DMD in which CMR is considered the noninvasive method of choice for early diagnosis of cardiac involvement, except in young patients who cannot cooperate with the maneuvers required for the examination. In patients aged up to 6-7 years, echocardiography should be performed instead of CMR, as it does not require sedation. After this age, CMR should be performed every 2 years and annually after age 10.803 Female carriers of DMD and BMD mutations should be evaluated if they show any symptoms of cardiac involvement. At around 40 years of age, women tend to show a decrease in EF and evidence of myocardial fibrosis.805

In 2017, the AHA806 published guidelines for the management of cardiac involvement in neuromuscular diseases. However, there is no consensus on the use of CMR in the diagnosis of Limb-Girdle, Emery-Dreifuss, and myotonic dystrophies. Its use should be individualized based on systemic disease progression and the manifestation of CVD.

Table 45 presents the recommendations for the use of CMR in the management of cardiac involvement in MDs.

Table 45
Recommendations for the use of cardiac magnetic resonance imaging in carriers of Duchenne or Becker muscular dystrophy

3.19. Peripartum Cardiomyopathy

Peripartum cardiomyopathy (PPCM) is a rare form of HF that occurs in the third trimester of pregnancy or up to 5 months postpartum. It is characterized by LV dilation and systolic dysfunction (LVEF < 45%) and significant morbidity and mortality. PPCM is a diagnosis of exclusion in women without known prior heart disease.720 Its incidence ranges from 1:300 to 1:4000 live births, depending on the country and demographics.807,808

CMR is considered safe during pregnancy; however, the use of paramagnetic contrast (gadolinium) and its effects on the fetus are not well established. Therefore, administering contrast during pregnancy is not recommended, especially in the first trimester. Conversely, there is no restriction on the use of contrast during breastfeeding.809,810 CMR is the method of choice for evaluating ventricular volumes and function, which are independent predictors of events in PPCM.811,812 It may also be useful for excluding other etiologies, such as myocarditis, infiltrative diseases, and left ventricular non-compaction/excessive trabeculation of the left ventricle.813 The pattern of LGE in PPCM is typically midmural, with a prevalence ranging from 5% to 70% (likely due to different intervals between symptom onset and CMR).814816

Table 46 presents the recommendations for the use of CMR in the diagnosis and management of PPCM.

Table 46
Recommendations for the use of cardiac magnetic resonance imaging in the assessment of peripartum cardiomyopathy

3.20. Cardiomyopathy Related to Systemic Diseases

Several systemic diseases affect the cardiovascular system, with varied clinical presentations and challenging clinical settings. Cardiovascular manifestations in systemic diseases are often subtle. Notable among these are autoimmune disorders such as rheumatoid arthritis and spondyloarthropathies, systemic lupus erythematosus, scleroderma, systemic vasculitides such as granulomatosis with polyangiitis, mixed connective tissue disease, and other inflammatory myopathies.821 The mechanisms leading to myocardial damage are not well understood, but are known to involve factors such as intracellular and extracellular interactions, genetic mutations, autoimmune reactions, and inflammatory modulators.822 Clinical presentation is widely diverse, and lesions may involve the myocardium, valves, pericardium, conduction system, and vessels. Additionally, there is an increased risk of atherosclerosis in rheumatic diseases, not solely attributed to traditional cardiovascular risk factors but also likely related to dysfunctional immune responses and chronic inflammation, accounting for increased morbidity and mortality in more advanced cases.822

The role of CMR in systemic diseases involves assessing the specific presentation of each case, but the use of LGE to detect irreversible myocardial damage has also been demonstrated.823 Direct myocardial injury with inflammatory infiltrate has been demonstrated in polyangiitis,824 and ischemia in the absence of obstructive CAD has been demonstrated in systemic lupus erythematosus825 and T1 mapping analysis, including in the study of the pericardium.826,827 A recent consensus826 discussed the potential of CMR in the evaluation of patients with systemic diseases, such as in the early identification of myocardial lesions, definition of their nature (ischemic or inflammatory), and detection of arrhythmogenic substrates.

Table 47 presents the recommendations for the use of CMR in the diagnosis of cardiomyopathy associated with systemic diseases.

Table 47
Recommendations for the use of cardiac magnetic resonance imaging in the diagnosis of cardiomyopathy associated with systemic diseases

3.21. Cardiac Alterations Associated with Heart Transplantation

Cardiac allograft vasculopathy is the leading cause of late morbidity and mortality after heart transplantation, occurring in up to 50% of transplant recipients after 10 years. Although the gold standard for diagnosis is invasive coronary angiography, CMR has shown promising results.835

Monitoring cellular and humoral rejection, especially in the first year after heart transplantation, and actively investigating late complications such as cardiac allograft vasculopathy is crucial in the follow-up of transplant patients. The primary diagnostic method and gold standard is EMB. However, it is an invasive method and therefore not free from complications. In addition, inflammatory infiltration of the heart may not be uniform, making the identification of graft rejection by EMB more challenging.835,836 Therefore, noninvasive diagnostic tests continue to evolve in attempts to detect graft rejection at an increasingly earlier stage.822

CMR can identify ventricular dysfunction and allows for better assessment of the RV, whose dysfunction may occur in the postoperative period of heart transplantation. Although ventricular dysfunction is present in cases of graft rejection, it is usually detected only in more advanced stages, probably when some degree of myocardial damage already exists.

Acute cellular rejection can be detected using tissue characterization by CMR, which can show inflammation/edema and myocardial necrosis/fibrosis. Myocardial edema can be assessed by T2-weighted imaging or directly by quantitative T2 mapping. Taylor et al. showed that a combined CMR criteria for acute rejection including myocardial edema assessed by T2-weighted images (relative signal > 2) or early enhancement (after gadolinium administration) had a sensitivity of 100% and a specificity of 73% compared with EMB and could identify significant (grade ≥ 2R) rejection.837 Retrospective studies using T2 mapping described a high negative predictive value (97%) for detecting acute rejection ≥ 2R with T2 values ≥ 56 ms and a relative risk greater than 2 for rejection with T2 > 60 ms. The association of T2 > 59 ms with the RV end-diastolic volume index showed a negative predictive value of 98% for significant rejection ≥ 2R.821,823,833,838 In a prospective study with a pediatric population, Ide et al. demonstrated that native T1 time and ECV correlate with histologically determined collagen volume, with accelerated myocardial fibrotic remodeling in children.824,825,839

In recent years, there has been a shift from qualitative to quantitative CMR evaluation, using the detailed data described above in combination. This can be observed in recent studies825827 showing the combined use of T2 and ECV as a potential biomarker for detecting acute cellular rejection.

Table 48 presents the main recommendations for the use of CMR in the evaluation of cardiac alterations associated with heart transplantation.

Table 48
Recommendations for the use of cardiac magnetic resonance imaging in the evaluation of cardiac alterations associated with heart transplantation

3.22. Pericardial Disease

Pericardial diseases are relatively common in clinical practice and may present either as an isolated process or in association with various systemic disorders.340,343,841 Traditionally, echocardiography has been the method of choice in patients with suspected pericardial disease and, most of the times, it is the only imaging modality needed.343,841,842 However, CT and CMR are increasingly used as part of a multimodality imaging approach.340,342

3.22.1. The Role of CMR

CMR is primarily indicated in cases where echocardiography is limited by poor acoustic windows or is inconclusive, allowing for a more accurate evaluation of the pericardium.342 It is also indicated for the follow-up of patients with more complex pericardial disease and contraindications to echocardiography, as CMR does not involve ionizing radiation or the use of iodinated contrast agents.341

CMR employs specific sequences for morphological imaging of pericardial structures and tissue characterization, along with functional imaging to measure ventricular function and intracardiac flows, allowing the assessment of the hemodynamic effects of pericardial diseases.340,341,843

3.22.2. Pericardial Effusion

Pericardial effusion refers to the accumulation of more than 50 mL of fluid in the pericardial sac, resulting from disorders affecting the pericardium directly or as a response to systemic disease. This fluid may include transudate, exudate, pus (pyopericardium), blood (hemopericardium), or lymphatic fluid (chylopericardium).340,844

The role of imaging is to confirm the presence of pericardial effusion, estimate its amount, describe its distribution, and determine any hemodynamic effect on the heart.844 CMR provides a more accurate definition of the distribution and amount of pericardial fluid than echocardiography.342 Targeted imaging sequences help to characterize the contents of the pericardial sac—fat, fluid with varying protein content—and determine the best treatment approach.340 Transudative effusions typically have low signal on T1-weighted and high signal on T2-weighted CMR images. Exudative effusions appear heterogeneous with intermediate signal (tending toward high) on T1-weighted and T2-weighted CMR images. Hemorrhagic effusions will have the same signal intensity of that of blood products.344

3.22.3. Acute Pericarditis

CMR should be considered when echocardiographic findings are inconclusive, there is nonresponse to treatment, and the clinical presentation is atypical. CMR is well indicated especially in suspected constrictive pericarditis—allowing for the evaluation of hemodynamic compromise—and post-myocardial infarction free-wall rupture when there are still doubts regarding the presence of hemopericardium.344

3.22.4. Pericardial Tamponade

CMR is not indicated for cardiac tamponade, a condition associated with hemodynamic instability, whose diagnosis is primarily clinical and easily evaluated by echocardiography. However, in cases where the presence of cardiac tamponade is still uncertain, CMR is a useful complementary test to exclude localized or loculated tamponade. The CMR criteria for a functionally important effusion are similar to that of echocardiography: diastolic collapse of the RV free wall, right atrium (RA) collapse, LV and RV morphology abnormalities, and abnormal ventricular septal motion to the left during early inspiration (ventricular interdependence), although this is more common in constrictive pericarditis.341

3.22.5. Constrictive Pericarditis

Constrictive pericarditis (CP) is a condition caused by a thick noncompliant inflamed, fibrotic, and/or calcified pericardium, which inhibits cardiac filling by preventing full transmission of respiratory intrathoracic pressure changes to cardiac cavities.341

In patients with suspected CP, imaging studies aim to obtain diagnostic information such as pericardial thickness, ventricular interdependence, associated abnormalities (valvular, myocardial, or CAD), and evidence of differential diagnoses such as restrictive cardiomyopathy, RV dysfunction, or severe tricuspid regurgitation. Although echocardiography is the initial imaging method of choice for CP in most patients, CMR can be helpful in the establishment of a definitive diagnosis.342

CMR can detect hemodynamic signs of constriction, similar to those observed in echocardiography, especially with real-time cine imaging.845 Pericardial thickness on CMR (> 4 mm) in the appropriate clinical context often supports the diagnosis of CP, although the absence of pericardial thickening does not necessarily exclude it. 341

Tagged cine CMR imaging can be used to detect pericardial adhesions with reduced mobility of the myocardium.342 CMR is also valuable for assessing the extent of pericardial inflammation by detecting pericardial edema and/or LGE, although this finding is not universal.342

3.22.6. Pericardial Tumors

Pericardial tumors are very rare and divided into primary (benign or malignant) and secondary (metastatic).

Primary benign neoplasms of the pericardium are slow-growing tumors with well-defined borders, often detected incidentally,340 whose hemodynamic effects may cause significant cardiovascular complications.343 The most common benign pericardial tumor is lipoma, but teratoma, fibroma, hemangioma, lymphangioma, paraganglioma, and granular cell myoblastoma are commonly found as well.340342

Primary malignant pericardial neoplasms are also rare and include mesothelioma (the most common), sarcoma (the second most common), lymphoma, liposarcoma, malignant teratoma, and hemangioendothelioma.340 Most primary malignant tumors are not resectable at diagnosis. Chemotherapy and radiotherapy offer limited benefits.342

Metastatic pericardial tumors are more common than primary pericardial neoplasms and tend to occur late in the disease process. Most pericardial tumors are secondary to local invasion from lung and mediastinal tumors or metastases from lung and breast cancers, lymphomas, and melanoma.841

CMR provides better assessment of pericardial mass size, involvement of adjacent structures, and potential hemodynamic complications.342 Although CMR is useful for differentiating between benign and malignant pericardial tumors,343 biopsy and histopathological analysis are necessary to achieve a definitive diagnosis for most pericardial tumors.340

Well-defined or encapsulated pericardial lesions without pericardial irregularity or effusions are more likely to be benign.342 Pericardial tethering and/or direct invasion of adjacent structures are generally indications of malignancy, and dynamic tagging may help identify such physical connections. Pericardial metastases may manifest on CMR as irregular or nodular pericardial thickening, nodules, or masses,340 which in turn tend to present as multiple enhancing and coalescing pericardial masses usually with a large associated exudative effusion.841

Most neoplasms exhibit low signal intensity on T1-weighted and high signal intensity on T2-weighted CMR images. In first-pass perfusion, primary and secondary pericardial tumors—predominantly malignant—show some degree of gadolinium enhancement. Because of their increased vascularity, pericardial neoplasms usually enhance heterogeneously after contrast administration. Hyperintense signal is observed mainly in highly vascularized malignant tumors.340,342

3.22.7. Pericardial Cysts and Diverticula

Pericardial cysts are typically located adjacent to the heart, particularly in the right cardiophrenic angle.841,844 Pericardial diverticula are differentiated from pericardial cysts by the presence of communication with the pericardial space.343

Pericardial cysts almost always exhibit low and homogeneous intensity on T1-weighted and high and homogeneous intensity on T2-weighted images. They do not enhance with gadolinium-based contrast administration. Very rarely, pericardial cysts may contain highly proteinaceous fluid, leading to high signal intensity on T1-weighted images.342,841

3.22.8. Pericardial Abscess

Pericardial abscess is a walled off collection of pus within the pericardial space, appearing as a localized biconvex collection within the pericardial space compressing the adjacent cardiac chambers. The core may be better demonstrated on CMR, appearing isointense to hyperintense on both T1- and T2-weighted images.841

3.22.9. Hematomas

CMR is particularly useful in the diagnosis of pericardial hematomas, which have a characteristic signal intensity on T1-weighted and T2-weighted images. Acute hematomas exhibit homogeneous high signal intensity, while subacute (1-4 weeks old) hematomas typically demonstrate heterogeneous signal intensity, with areas of high signal intensity on both T1-weighted and T2-weighted images. Particularly on T1-weighted images, chronic organized hematomas may show a dark peripheral rim and low-signal-intensity internal foci that may represent fibrosis, calcification, or hemosiderin deposition. Hematomas do not enhance after contrast administration.845

3.22.10. Congenital Absence of Pericardium

Congenital absence of pericardium (CAP) is a rare condition caused by abnormal embryological development, which can manifest in isolation or be associated with other congenital disorders such as bicuspid aortic valve, patent ductus arteriosus (PDA), mitral valve stenosis, atrial septal defect (ASD), and tetralogy of Fallot.845

On CMR, the pericardium can be identified because it is differentiated from the adjacent myocardium by the presence of epicardial and pericardial fat layers, which demonstrate different signal intensities than the epicardium. However, in patients with minimal epicardial and pericardial fat (younger, lean, athletic), differentiation becomes difficult because the area typically with less epicardial fat lies almost immediately on the most common site of pericardial defects (the lateral, posterior, and inferior LV walls), requiring caution to avoid false positives.342 There are important indirect morphological and functional signs consistent with pericardial defects, including interposition of lung tissue between the aorta and pulmonary artery, leftward cardiac displacement, and excessive levorotation.344,841

Table 49 shows the main recommendations for the use of CMR in the evaluation of the pericardium.

Table 49
Recommendations for the use of cardiac magnetic resonance imaging in the assessment of the pericardium

3.23. Cardiac Masses and Thrombus

Cardiac masses are rare and include a variety of diagnoses, such as benign tumors, malignant tumors (primary and secondary), and tumor-like conditions such as thrombi, pericardial cysts, and vegetations.846 TTE is the initial diagnostic method of choice because it is widely available, portable, and has low cost.847 However, its ability to evaluate right heart chambers, mediastinal structures, and extracardiac structures is limited.

CMR is one of the main methods for evaluating these structures, as it provides data related to location, size, borders, tissue characterization, vascularization, involvement of adjacent structures, and cardiac function.848 Different acquisition techniques allow the characterization of important histological components (eg, presence of fat, hemorrhagic, necrotic, melanotic, calcified, myxoid, and fluid content), as well as tissue vascularization. This information, combined with the location of the tumor (Table 50), may help differentiate between non-neoplastic lesions (thrombi, cysts, and vegetations) and benign or malignant tumors.849 Regardless of its cellular characteristics, any cardiac tumor, even if histologically benign, may have substantial hemodynamic or arrhythmic consequences depending on its size and location.850,851

Table 50
Magnetic resonance imaging features of different cardiac tumors

The most common cardiac masses are non-neoplastic (eg, thrombi, vegetations, perivalvular abscesses, pericardial cysts, mitral annulus calcification), which are potentially mimicking cardiac tumors. Intracardiac thrombi are the most common cardiac masses, usually located in the LA due to AF or valvular heart disease, but may also be found in the LV with reduced EF.852 MRI with first-pass perfusion allows clear differentiation of thrombus from surrounding myocardium because thrombus is avascular. Although the use of GBCAs increases the accuracy of CMR in identifying thrombi, they are characterized by the absence of contrast material uptake (including both early and late enhancement). Rarely, thrombi may enhance peripherally due to fibrous content.570,853

Primary cardiac tumors are rare (incidence rate < 0.3%), and more than 75% are benign.854,855 Myxoma is the most frequent benign cardiac tumor in adults, accounting for approximately 50% of cases. It most commonly affects women, usually between the third and sixth decades of life. It is typically located in the LA as solitary, mobile nodules attached to the fossa ovalis.856 Myxomas tend to present as isointense or heterogeneous on T1-weighted images and hyperintense or heterogeneous on T2-weighted images because of their high extracellular water content. About half of cardiac myxomas show heterogeneous enhancement.850

Lipomas are the second most common type of cardiac tumor (approximately 16%) and are mostly discovered incidentally because they are often asymptomatic. Lipomas tend to be well-circumscribed, homogeneous, and encapsulated and are typically located in the LV and RA. Because they are composed of adipose tissue, they appear hyperintense on T1-weighted images.857

Papillary fibroelastomas account for approximately 75% of all valvular neoplasms and 10% of primary cardiac tumors. They are usually solitary and small (less than 2 cm) and affect both sexes equally. They tend to occur more frequently in people aged 60 to 80 years, with embolic events being the main symptoms. They can arise from any endocardial surface, but are most commonly found on the atrial surface of the mitral valve and the aortic surface of the mitral valve leaflets.858 They appear hypointense on cine images and isointense on T1- and T2-weighted images.

Rhabdomyoma is the most common cardiac tumor in children, accounting for approximately 90% of primary benign cardiac tumors in this age group, with 75% occurring in children under 1 year of age. Most lesions tend to regress spontaneously and are characterized by intermediate-to-high signal intensity on T1-weighted images and intermediate signal intensity on T2-weighted images, with absence of LGE after contrast administration. Other primary cardiac tumors include fibromas, intrapericardial paragangliomas, hemangiomas, and teratomas.859,860

Among primary malignant tumors, sarcomas are the most common. Among secondary tumors, the most common extracardiac neoplasms are lung, lymphoma, breast, and esophageal cancer. Cardiac metastasis is 20–40 times more common than primary cardiac tumors and may result from direct spread from adjacent structures (bronchogenic carcinoma, lymphoma), hematogenous seeding (lung and breast cancer, melanoma, lymphoma, and leukemia), lymphatic spread (most common route in lymphomas and rarer in carcinomas), or venous extension (hepatocellular, renal, endometrial, and thyroid carcinomas).861

Angiosarcoma is the most common histological subtype in adulthood among primary malignant cardiac tumors. It is a highly aggressive sarcoma that often originates in the RA and has a high likelihood of metastasis at the time of presentation. On T1-weighted images, angiosarcomas appear as isointense lesions with multiple nodular areas of high intensity.357 LGE characteristics of the tumor show heterogeneous enhancement and may show a large necrotic core without enhancement,862 as well as evidence of vascularization on first-pass perfusion imaging.

Rhabdomyosarcoma is the most common primary malignant cardiac tumor in childhood. It is typically large (> 10 cm in diameter), invasive, and may originate anywhere in the heart, but is more commonly found in the cardiac valves. On CMR, it demonstrates homogeneous and iso-to-hyperintense signal intensity on T1- and T2-weighted images, characteristic central necrosis,863 and marked LGE.

Mesothelioma is a rare neoplasm that, in most cases, develops in the pericardium. It commonly affects older men with a history of asbestos exposure and pleural disorders. It usually presents with diffuse growth, multiple poorly defined masses within the pericardial cavity, causing extensive pericardial thickening and a large hemorrhagic pericardial effusion, potentially presenting signs and symptoms of CP or cardiac tamponade.864 CMR shows a pericardial mass surrounded by the visceral and parietal pericardium appearing isointense on T1-weighted and heterogeneous on T2-weighted images.

Primary cardiac lymphomas are extremely rare, typical of non-Hodgkin lymphoma, and restricted to the heart and pericardium. They typically occur in immunocompromised patients in association with Epstein-Barr virus infection. On CMR, they are hypo/isointense on T1-weighted images and slightly hyperintense on T2-weighted images. They also show heterogeneous gadolinium uptake, with possible central hypointense areas.849

CMR provides useful information for differentiating between benign and malignant tumors. Tumor size, local invasion, increased vascularization, involvement of more than 1 cardiac chamber, and pericardial effusion are good indicators of malignancy. In addition to assisting in the characterization of histological type, CMR provides better detailing of the tumor and its involvement of extracardiac structures, which is essential for preoperative evaluation.865

Table 50 describes MRI features of different cardiac tumors.

Table 51 presents the main recommendations for CMR in the evaluation of cardiac masses/thrombi.

Table 51
Recommendations for the use of cardiac magnetic resonance imaging in the assessment of cardiac masses/thrombi

3.24. Valvular Heart Disease

TTE is the first-line imaging modality for patients with valvular heart disease.251,874,875 However, CMR offers significant advantages over echocardiography, including (1) free choice of imaging planes, unrestricted by acoustic windows,876 (2) enhanced quantification of heart valve regurgitation,875,877880 (3) higher accuracy and reproducibility in the morphological and functional assessment of both ventricles, including quantification of ventricular volume, EF, and mass,881,882 and (4) ability to provide myocardial tissue characterization.418,883,884 Therefore, a growing number of patients with valvular heart disease benefit from the versatility of CMR as a complementary test to TTE.875,885,886

First, CMR assessment should include characterization of valvular morphology and structure, assessment of the stenotic and/or regurgitant jet, and, when possible, determination of the mechanism of dysfunction. In aortic valve disease, it is essential to assess for leaflet thickening, calcification, retraction, or fusion, determine the number of leaflets, characterize the stenotic or regurgitant jet (size, direction, eccentric vs central, single vs multiple), and investigate the presence of aortic root or ascending aorta dilation. In patients with mitral regurgitation, it is important to evaluate leaflet thickening, mitral annular calcification involving the subvalvular apparatus, mitral valve leaflet mobility (prolapse, flail, tethering) or perforation, and the location of regurgitation. It is crucial to determine the mechanism and etiology (primary, secondary, of mixed) of mitral regurgitation.875 The same approach should be applied to the evaluation of tricuspid and pulmonary regurgitation.

The second step involves assessing the severity of the valvular lesion. The main CMR methods for grading such lesions are:

  1. Stenotic lesions:

    1. Aortic stenosis. The 2 main parameters measured by CMR to grade the severity of aortic stenosis are (1) maximum velocity of the aortic stenosis jet (Vmax) measured by phase-contrast; and (2) aortic valve area (AVA) measured by direct planimetry. For both Vmax and AVA, the measurement plane should be perpendicular to the aortic stenosis jet.

    2. Pulmonary stenosis. The same methods described for aortic stenosis are used for evaluating pulmonary stenosis, ie, quantification of the maximum velocity of the pulmonary stenosis jet (Vmax) and measurement of pulmonary valve area by direct planimetry.

    3. Mitral and tricuspid stenosis. In general, these valvular lesions can be adequately evaluated by echocardiography. However, in cases where echocardiography is limited, CMR can assess the severity of mitral or tricuspid stenosis using the same principles described above: measurement of Vmax by phase-contrast technique and valve area by direct planimetry.

  2. Regurgitant lesions.878,879,887889

    1. Aortic regurgitation. There are 3 main CMR parameters used to grade the severity of aortic regurgitation: (1) regurgitant volume (diastolic forward flow in the aorta) measured by phase-contrast in a plane perpendicular to the ascending aorta between the aortic valve plane and the sinotubular junction plane. Regurgitant fraction is calculated as the regurgitant volume divided by the total aortic forward stroke volume in systole.878 (2) In the absence of other concomitant regurgitant lesions (trivial or mild lesions can be disregarded), the aortic regurgitant volume may be measured as the difference between LV stroke volume and RV stroke volume measured by cine imaging using Simpson's method. In this case, the regurgitant fraction may be calculated as the regurgitant volume divided by the LV stroke volume. (3) Aortic regurgitant orifice area measured by direct planimetry.

    2. Mitral regurgitation. There are 3 main CMR parameters used to grade the severity of mitral regurgitation: (1) quantification of regurgitant volume measured as the difference between LV stroke volume by cine MRI using Simpson's method and the aortic forward stroke volume in systole by phase-contrast. Regurgitant fraction is calculated as the regurgitant volume divided by the total LV stroke volume.880,886 (2) In the absence of other concomitant regurgitant lesions (trivial or mild lesions can be disregarded), the mitral regurgitant volume can be measured as the difference between the LV and RV stroke volumes obtained by cine MRI imaging using Simpson's method. In this case, the regurgitant fraction may be calculated as the regurgitant volume divided by the LV stroke volume. (3) Mitral regurgitant orifice area measured by direct planimetry.

    3. Pulmonary regurgitation. The assessment of pulmonary regurgitation by CMR follows the same strategy as that of aortic regurgitation: (1) regurgitant volume/fraction measured as the difference between antegrade stroke volume and retrograde stroke volume measured by phase-contrast in the pulmonary trunk. (2) In the absence of other concomitant regurgitant lesions (trivial or mild lesions can be disregarded), the pulmonary regurgitant volume/fraction may be measured as the difference between the LV and RV stroke volumes obtained by cine MRI imaging using Simpson's method. (3) Pulmonary regurgitant orifice area measured by direct planimetry.

    4. Tricuspid regurgitation. The assessment of tricuspid regurgitation by CMR follows the same strategy as that of mitral regurgitation: (1) regurgitant volume/fraction measured as the difference between RV stroke volume by cine MRI using Simpson's method and the anterograde volume in the pulmonary artery in systole by phase-contrast. (2) In the absence of other concomitant regurgitant lesions (trivial or mild lesions can be disregarded), the tricuspid regurgitant volume/fraction can be measured as the difference between the LV and RV stroke volumes obtained by cine MRI imaging using Simpson's method. (3) Tricuspid regurgitant orifice area measured by direct planimetry.

Specific cutoff values for CMR have been suggested to classify valvular lesions as mild, moderate, or severe.876 However, there is still a dearth of studies validating specific data for CMR, so cutoff values derived from echocardiography are more commonly used.874

The third step involves assessing the morphology and function of both ventricles and atria. As previously mentioned, CMR is more accurate and reproducible than echocardiography in this type of evaluation,880,881 making it especially useful in the longitudinal follow-up of patients with valvular heart disease. The quantification of ventricular volumes and function allows to assess the associated remodeling of cardiac chambers in response to volume overload. This information is important not only because it provides additional data to help assess the severity of valvular lesions875 but also because it constitutes a parameter to help guide the therapeutic approach, including the optimal timing for surgical or percutaneous intervention.251,874,885,889

A unique contribution of CMR in the evaluation of patients with valvular heart disease is its ability to provide myocardial tissue characterization.418,883,884 Several studies have shown that assessing the presence, extent, and pattern of myocardial LGE provides important prognostic information890,891 that can assist in the management of patients with aortic and/or mitral valve disease.892897 More recently, some studies showed that T1 mapping techniques883,898 also provide valuable prognostic information and may be used complementary to LGE imaging.876,895

Finally, it is worth noting that CMR may be used in the evaluation of patients with either biological or mechanical prosthetic heart valves.876 The presence and extent of susceptibility artifacts depend on the amount of ferromagnetic material in the prosthesis. In cases where susceptibility artifacts are absent or minimal, it is possible to evaluate the structure of the prosthesis and the mobility of the leaflets. However, in cases with extensive susceptibility artifacts, such evaluation becomes challenging or impossible. Nonetheless, in most cases, it is possible to quantitatively evaluate stenotic lesions (by measuring the Vmax of the stenotic jet in a plane immediately distal to the artifact region) and regurgitant lesions (using the same techniques described above for the quantitative evaluation of native valves).

Table 52 presents the recommendations for the use of CMR in the evaluation of valvular heart disease.

Table 52
Recommendations for the use of cardiac magnetic resonance imaging in the assessment of valvular heart disease

3.25. Cardio-oncology

Improved survival associated with effective cancer treatment has led to an increase in cardiac complications related to antineoplastic therapy. Early detection of cardiotoxicity can not only identify cardiovascular damage early but also allow for the implementation of targeted therapies.905

Despite several advances, effective detection of cardiotoxicity is still extremely challenging. Cardiac dysfunction often manifests long after the completion of cancer treatment, making it difficult to establish a direct correlation.906 Additionally, this assessment typically relies solely on longitudinal monitoring of LV systolic function and LVEF by conventional echocardiography, which has several limitations, such as limited reproducibility and inability to provide tissue characterization. 907 Furthermore, reductions in LVEF often occur within normal reference ranges, indicating that myocardial injury may be present even before LV dysfunction is evident.908,909 In this context, CMR is the gold standard for obtaining data on cardiac morphology and function with accuracy as well as reproducible results.910 CMR also offers a wide range of imaging methods, such as cine sequences for morphology/function, T2 sequences for edema, perfusion for ischemia, LGE for scar detection, tagging for strain assessment, and T1 mapping for tissue characterization.

3.25.1. Evaluation of Ventricular Morphology and Function

CMR is considered the method of choice for evaluating morphological and functional changes caused by cardiotoxicity,911913 providing accurate information on ventricular volumes and mass in a reproducible and independent manner.914 Drafts et al.915 demonstrated that cine CMR imaging can detect early cardiac function abnormalities, even in patients receiving low or intermediate doses of anthracyclines. Another study comparing different imaging techniques in adults who had childhood cancer and were treated with anthracyclines found that conventional echocardiography had limited accuracy in confirming LVEF < 50% as defined by CMR, with a sensitivity of 25% and high false positive rates (75%). 916 Although 3D echocardiography improved sensitivity to 53%, this modality was still inferior to CMR in detecting LVEF < 50%.916

The assessment of LV mass is also important, as chemotherapy can alter it. 915 Approximately 50% of childhood cancer survivors have LV mass < 2 standard deviations below normal values. 916 In a study involving patients with LV dysfunction treated with anthracyclines (median follow-up of 88 months), Neilan et al.917 found that indexed LV mass assessed by CMR was an important prognostic factor. Patients with indexed LV mass < 57 g/m² had a significantly higher risk of cardiovascular events, including cardiovascular death, appropriate ICD therapy, and admission for HF. 917,918 Despite RV dysfunction being a recognized prognostic factor, few studies have specifically investigated the effects of cancer treatment on RV morphology and function. Recently, the ability of CMR to detect RV morphological and functional changes even at moderate doses of anthracyclines (240 mg/m²) has been documented.919

3.25.2. Tissue Characterization

3.25.2.1. Myocardial Fibrosis

Although LGE is an important tool in the investigation of myocardial scar and infarction, it only provides partial assessment of myocardial fibrosis.418 As LGE relies on the differences in signal intensity between scarred and normal myocardium to generate contrast, it may fail to identify interstitial fibrosis.907 In several studies, LGE was not uniformly detected in patients who developed cardiotoxicity after chemotherapy, particularly anthracycline-based regimens.909,920,921 Thus, the absence of LGE in patients at risk of developing cardiotoxicity after cancer treatment should not be interpreted as the absence of myocardial injury.

3.25.2.2. T1 Mapping

Several studies have examined the usefulness of CMR T1 mapping to investigate myocardial tissue remodeling after cancer therapy. T1 mapping before and after the administration of contrast agents, with correction of measurements to the patient's hematocrit, can be used to quantify ECV.922 Tham et al. found a positive association between ECV and cumulative chemotherapy dose as well as exercise capacity assessed by cardiopulmonary exercise testing in a pediatric population.923 In a relatively large cohort of cancer patients, Jordan et al. found that not only ECV but also native T1 were significantly higher in treated cancer patients compared with controls.924 Some studies have demonstrated that CMR measurements of intracellular lifetime of water and ECV fraction may be used to assess myocardial remodeling at the cellular level, with histological validation.907,918,925,926

More recently, Thavendiranathan et al. demonstrated that T1 and T2 mapping are useful in the evaluation of cardiotoxicity caused by checkpoint inhibitors.927 In 136 patients who developed myocarditis as a complication of checkpoint inhibitors, the authors showed that changes in T1 mapping not only have diagnostic utility but can also identify patients at high risk of subsequent cardiovascular events.927

Table 53 shows the recommendations for the use of CMR in the evaluation and follow-up of patients with suspected cardiotoxicity.

Table 53
Recommendations for cardiac magnetic resonance imaging in the assessment and follow-up of patients with suspected cardiotoxicity

3.26. Vascular Disease

Recent advances in imaging equipment and acquisition methods have benefited the use of MRI in the diagnosis of vascular diseases. Improved coil designs and new pulse sequences combined with imaging acceleration techniques have improved image resolution and signal, as well as reduced acquisition times.

Another advantage of CMR is that it does not expose patients to ionizing radiation. This can be beneficial in situations that require serial examinations to monitor certain vascular diseases, thereby reducing cumulative radiation exposure. The use of gadolinium-based paramagnetic contrast is extremely safe. Hypersensitivity reactions are very uncommon, and nephrogenic systemic fibrosis (primarily associated with GBCA use in patients with impaired renal function and on dialysis) has proven to be an increasingly rare phenomenon, related to specific gadolinium molecule profiles. As it does not cause direct nephrotoxicity, the use of GBCAs in MRA may be an alternative for patients with contraindications for iodine-based contrast agents due to low glomerular filtration rates.

The following section presents the different settings in which MRI may be used to evaluate vascular diseases. This Guideline does not address indications for MRA of the intracranial vessels.

3.26.1. Aorta

Like CT, MRI plays a critical role in the evaluation of aortic diseases.935 MRI provides multiplanar and volumetric imaging with excellent spatial resolution, allowing 3D assessment of the aortic lumen and walls. However, because it takes significantly longer than CT, it is less commonly used in patients with acute conditions.

MRI provides various sequences for aortic depiction and has high tissue characterization capability, improving diagnostic accuracy. In aortic evaluation, MRA, morphological sequences, and flow quantification may be performed. Some images are acquired during just one breath-hold, while others may take minutes, requiring the use of cardiac and respiratory synchronization techniques to obtain artifact-free images.

The most frequently used MRA techniques are contrast-enhanced, but modern sequences allow for noncontrast-enhanced techniques as well, with similar quality in some segments.936

As MRA is based on luminography, morphological sequences should also be performed to better assess the vascular wall and perivascular spaces. One of the most commonly used sequences is "black-blood," which nullifies the blood signal and highlights the vascular walls, and may be T1-weighted (allowing identification of hematoma and contrast enhancement) or T2-weighted (allowing edema assessment). Recently, MR vessel wall imaging using black-blood techniques has gained prominence, characterized by thin slices with high spatial resolution, allowing detailed analysis of the vascular wall. MRI also allows qualitative and quantitative flow analysis using specific techniques, with phase-contrast and 4D-flow being the most commonly used.

MRI is based on RF and thus does not use ionizing radiation, which is beneficial for patients requiring serial examination. The main aortic diseases were discussed in the chapter on aortic evaluation by CT.

Table 54 shows the main recommendations for the use of MRI in the diagnosis of aortic diseases.

Table 54
Recommendations for the use of magnetic resonance imaging in the diagnosis of aortic diseases
3.26.2. Extracranial Carotid Arteries

MRA of the carotid arteries allows for the examination of different aspects of carotid atherosclerosis, including blood flow patency, vessel diameter, the presence of stenoses, and vessel wall characteristics. It can also assess various vascular diseases, vascular anatomy, and the relationships between vessels and other anatomical structures and lesions in the cervicothoracic, neck, and cervicocranial regions.

The main indications for MRA of the carotid arteries are similar to those for CTA of the carotid arteries.949 MRA and CTA of the carotid arteries are more accurate than ultrasound in the assessment of carotid stenosis,408,950 and these modalities are recommended for cases requiring confirmation of the degree of stenosis to guide treatment approach.951 As MRA and CTA offer similar accuracy in the evaluation of carotid stenosis, the choice between these methods should consider specific contraindications (eg, iodine contrast allergies, exposure to ionizing radiation), the urgency of the evaluation (favoring CT in emergencies due to faster acquisition), and the availability of the methods.

Table 55 shows the main recommendations for the use of MRI in the evaluation of extracranial carotid arteries.

Table 55
Recommendations for the use of magnetic resonance imaging in the assessment of extracranial carotid arteries
3.26.3. Renal Arteries

Contrast-enhanced MRA of the kidneys has long been used for investigating the course, diameter, anatomical variations, and stenosis of renal arteries, as well as for surgical planning of nephrectomy.419 Dynamic contrast-enhanced sequences have recently been suggested as capable of measuring renal perfusion.957 The introduction of renal denervation as a potential treatment for resistant hypertension958960 has also increased interest in evaluation of renal artery anatomy and noninvasive quantification of renal and cardiorenal function by MRA.419,961 New imaging sequences, including noncontrast-enhanced ones, have shown promise in the detection of renal artery stenosis.962964 However, contrast-enhanced sequences are already well-established for the diagnosis of renal artery stenosis, with a sensitivity of 97% and specificity of 93% compared with arteriography.965

Table 56 shows the recommendations for the use of MRI in the evaluation of renal arteries.

Table 56
Recommendations for the use of magnetic resonance imaging in the assessment of renal arteries
3.26.4. Pulmonary Arteries

MRA is useful in the assessment of pulmonary artery anatomy, diameter, and patency. It also allows for qualitative and quantitative flow analysis with the use of specific techniques.

However, it is not ideal for assessing pulmonary thromboembolism (PTE)968 due to its lower sensitivity, higher rate of inconclusive results, limited availability in most emergency settings, and longer acquisition times compared with CT. If conventional methods for PTE evaluation, such as CTA and scintigraphy, are not feasible, MRA becomes a plausible alternative.969 For PTE assessment, gadolinium-enhanced MRA is recommended for higher accuracy in intravascular analysis.

The main anomalies of the pulmonary arteries were addressed in the chapter of this Guideline on evaluation of pulmonary arteries by CT.

Table 57 presents the main recommendations for the use of MRI in the evaluation of pulmonary arteries.

Table 57
Recommendations for the use of magnetic resonance imaging in the evaluation of pulmonary arteries
3.26.5. Visceral Arteries

Stenosis of the celiac trunk and mesenteric arteries can also be diagnosed using contrast-enhanced MRA. Although CTA is generally preferred, as discussed in the CT section of this Guideline, MRA can provide valuable information about stenosis and collateral circulation, as well as nonatherosclerotic diseases such as fibromuscular dysplasia and median arcuate ligament compression.972 However, MRA is less effective than CTA, especially in the distal portions of the mesenteric vessels.419

MRA is particularly useful when there are concerns about the use of ionizing radiation or the nephrotoxicity associated with iodine contrast. Table 58 shows the recommendations for the use of MRI in the evaluation of visceral arteries.

Table 58
Recommendations for the use of magnetic resonance imaging in the assessment of visceral arteries
Table 59
Recommendations for the use of computed tomography in the assessment of atrial septal defects (ASDs)

4. Congenital Heart Disease

4.1. CT in the Evaluation of Congenital Heart Diseases

MDCT offers significant contributions to the evaluation of patients with congenital heart disease. This imaging modality is fast, often obviating the need for sedation, which adds practicality and makes it feasible for virtually all patients, including those in unstable conditions. However, the use of ionizing radiation requires careful consideration, particularly for repeated examination, of long-term cumulative effects. Additionally, the need for iodinated contrast media should be evaluated in patients with renal dysfunction.

MDCT is primarily used for the anatomical characterization of cardiac malformations and the postoperative evaluation of these conditions. It plays a crucial role in the determination of stent, tube, and conduit patency, as well as associated complications. MDCT is also valuable for the assessment of extracardiac vascular anomalies often associated with an underlying disease, as well as the outcomes of surgical anastomosis, such as partial or total cavopulmonary shunt (Glenn-Fontan procedure) and pulmonary-to-systemic arterial shunt (Blalock-Taussig procedure).

Although not primarily intended for this purpose, ECG-synchronized MDCT may also be used to assess ventricular function and volumes. In cases where echocardiography or CMR is inconclusive or not feasible, these parameters can be evaluated using CT. Similarly, morphological and functional assessment of cardiac valves (leaflet mobility/calcifications/regurgitant orifices) may also be performed in selected cases.

Given the specificity of each congenital heart disease, the application of MDCT in different clinical settings will be discussed individually in sections dedicated to each congenital heart disease described in this Guideline.

4.1.1. Evaluation of Intracardiac and Extracardiac Shunts

4.1.1.1. Atrial and Ventricular Septal Defects

The assessment of atrial (ASDs) and ventricular (VSDs) septal defects is typically performed adequately and conclusively via echocardiography. CT and CMR are primarily reserved for cases where echocardiography is inconclusive, especially in preoperative evaluations, such as in cases of sinus venosus ASDs often associated with anomalous pulmonary venous drainage.974976

Compared with CMR, CT has the disadvantage of offering a more limited assessment of the impact of septal defects. It only detects dilation of mediastinal vessels and cardiac chambers, thereby playing a smaller role in the follow-up of these patients.974 Functional contractile analysis is possible with CT but at the cost of higher radiation doses. Conversely, CT is superior in the assessment of intracardiac shunts977 with complex septal geometry, such as multiple muscular VSDs.

After percutaneous shunt closure, CMR or CT may be indicated if complications such as infection, malposition, embolization, or persistent shunt are suspected.978

The following tables describe the main recommendations for the use of CT in the evaluation of intracardiac shunts — ASDs, VSDs, and atrioventricular septal defects (AVSDs) (Tables 59, 60, and 61, respectively) — and extracardiac shunts — PDA (Table 62).

Table 60
Recommendations for the use of computed tomography in the evaluation of ventricular septal defects (VSDs)
Table 61
Recommendations for the use of computed tomography in the evaluation of atrioventricular septal defects (AVSDs)
Table 62
Recommendations for the use of computed tomography in the evaluation of patent ductus arteriosus (PDA)
4.1.1.2. Partial and Total Anomalous Pulmonary Venous Connection

The anatomical evaluation of anomalous pulmonary venous connection (APVC) using CT is comparable to that of CMR,985 allowing for an accurate and comprehensive preoperative assessment.974,976

As with septal defects, a disadvantage of CT is its limited functional assessment of the cardiac repercussions of APVC, making it less suitable for the follow-up of these patients.974 Conversely, CT is effective in the visualization of pulmonary repercussions, including signs of pulmonary congestion, such as interstitial or alveolar edema, and pleural effusions.

In patients with congenital pulmonary venolobar syndrome (scimitar syndrome), the evaluation of associated bronchopulmonary malformations is crucial, as is the identification of areas of systemic pulmonary blood supply, both of which can be accurately assessed by CT. Table 63 shows the main recommendations for the use of CT in the evaluation of APVC.

Table 63
Recommendations for the use of computed tomography in the assessment of anomalous pulmonary venous connection (APVC)
4.1.2. Congenital Valvular Heart Disease

Many patients with congenital heart disease require reoperation, often involving multiple valves. In young patients undergoing mitral valve replacement, 50% will require reoperation within 10 years and 15% may require a pacemaker within 1 month. Several studies have shown the utility of cardiac CT in the evaluation of native and mechanical valve stenosis and insufficiency, paravalvular leak, thrombosis, abscesses, and endocarditis. Differences in stroke volume between ventricles, calculated from functional data sets, can be used to quantify the severity of valve regurgitation and are closely correlated with echocardiographic findings.986,987

4.1.2.1. Tricuspid Valve/Ebstein's Anomaly

Ventricular volumes and EFs can be obtained by retrospective ECG-gated CCTA in a manner similar to CMR in patients who cannot undergo CMR. The morphology and mobility of the leaflets can be assessed on cine reconstructions. CCTA is also an alternative to CMR when coronary artery assessment is required. However, CCTA does not allow quantification of flow or assessment of the severity of tricuspid regurgitation.988

4.1.2.2. Pulmonary Valve

CTA has the advantage of high-resolution whole-chest coverage and is able to depict anatomic detail of the pulmonary valve, perivalvular structures, and pulmonary artery branches. CTA is the modality of choice for assessing the proximal and distal pulmonary arteries, as well as the proximity of the origin and course of the coronary artery to the implantation site. However, because the temporal resolution of CTA is lower than that of MRI and echocardiography, its application for functional assessment of the pulmonary valve is limited. CTA is an alternative for assessing the pulmonary valve when CMR is not feasible, especially when depiction of anatomy, complications, and ventricular size and function is desired. Dual-source scanners with faster temporal resolution improve image quality by reducing motion artifacts. CTA also provides valuable information on morphological features, post-stenotic dilation, and the location of supravalvular or subvalvular stenosis.989,990 Vegetations that affect the pulmonary valve are seen at echocardiography in 50% of patients with endocarditis. These vegetations may be accompanied by concomitant thickening, shortening, perforations, or complete destruction of the cusps, causing pulmonary regurgitation. Pseudoaneurysms may form at the site where a paravalvular abscess empties into the heart or vessel lumen. Fistulas may cause shunting and paravalvular leakage. ECG-gated CCTA is excellent for evaluation of structural abnormalities associated with pulmonary valve endocarditis. However, its use may be limited for the assessment of small vegetations (< 4 mm) and small valve perforations.991

As with the aortic valve, CT provides valuable information for percutaneous pulmonary valve implantation. Indications for a transcatheter approach are similar to those for surgery. Furthermore, the morphological characteristics of the RVOT are a major criterion for transcatheter valve replacement eligibility, a determination that may easily be made at CT or MRI. Patients with an aneurysmal appearance are not eligible for transcatheter pulmonary valve implantation. Complications of valve implantation include stent migration, stent fracture, conduit rupture, coronary artery compression, and pulmonary hemorrhage, which can be well evaluated by CTA.990

4.1.2.3. Mitral Valve

Congenital mitral valve abnormalities include those associated with AV septal defects, parachute mitral valve, and double-orifice mitral valve. The spectrum of total AVSDs encompasses complete defects, which are composed of a common AV valve, ostium primum ASD, and membranous ventricular septal defect; partial defects, which are constituted by separate tricuspid and mitral valves, a cleft anterior mitral leaflet, and an ostium primum ASD; and various transitional or intermediate categories that fall between these two ends of the spectrum. A parachute mitral valve occurs when all the chordae arise from a single, fused papillary muscle. This abnormality is associated with mitral stenosis of various degrees and with Shone syndrome.

Shone syndrome is characterized by a parachute mitral valve, supravalvular mitral ring, subvalvular aortic stenosis, and coarctation of the aorta (CoA). A double-orifice mitral valve is characterized by a bridge of leaflet tissue that divides the annulus into 2 orifices, both of which open into the LV. This condition is associated with varying degrees of mitral stenosis or regurgitation and has strong associations with additional valvular anomalies and other congenital cardiac defects.

Echocardiography is typically sufficient for the assessment of mitral valve defects, without the need for additional investigation to support therapeutic decision-making and/or follow-up of this patient group. CTA is extremely useful in patients with Shone's syndrome with a broad spectrum of symptoms because it can assess multiple parameters simultaneously. When valve replacement is required, CT can be used for postoperative evaluations because it has higher spatial resolution and is less susceptible to artifacts. Cine CT has demonstrated excellent utility for identifying paravalvular abscesses and valvular vegetations. 992

4.1.2.4. Aortic Valve

For the evaluation of bicuspid aortic valve and isolated aortic valve stenosis, echocardiography generally does not require supplementary diagnostic imaging. However, in patients with sequential subvalvular, valvular, and supravalvular stenoses, CTA can provide additional information, particularly regarding leaflet elongation, tunnel-like LVOT obstruction, or the presence of discrete membranes that may not be visualized on CMR due to lower spatial resolution. This additional information can contribute to surgical planning.993Table 64 presents the main recommendations for the use of CT in the evaluation of congenital mitral valve abnormalities.

Table 64
Recommendations for the use of computed tomography in the assessment of congenital valve abnormalities
4.1.3. Conotruncal Anomalies

4.1.3.1. Tetralogy of Fallot

In preoperative evaluation, most diagnostic information is provided by echocardiography. CT can provide complementary data when echocardiography is inconclusive, such as in cases involving coronary anomalies or more complex settings such as pulmonary atresia, in which the evaluation of collateral vessels and pulmonary vasculature segmentation is necessary.997999

In patients with tetralogy of Fallot with pulmonary valve agenesis, CT is useful to assess central airway compression due to aneurysmal dilations of the pulmonary arteries.

Postoperatively, CT can identify surgical complications of reconstructions of the RVOT, pulmonary trunk, and proximal vascular tree, as well as peripheral vascular beds. It is also a superior method for evaluating in-stent restenosis.1000,1001

CT may be an alternative method for quantifying ventricular volumes and function in cases where MRI is contraindicated or limited by implanted devices, allowing for the monitoring of residual lesions. Table 65 presents the recommendations for the use of CT in the evaluation of patients with Tetralogy of Fallot.

Table 65
Recommendations for the use of computed tomography in the assessment of Tetralogy of Fallot
4.1.3.2. Double-outlet Right Ventricle

Double-outlet RV (DORV) is not a single cardiac anomaly but a heterogeneous group with variable morphological features. The abnormal position of the great vessels in association with various structural anomalies can lead to different physiological phenotypes.1005,1006 DORV represents a complex spectrum consisting of varied position of the VSD in relation to the pulmonary and aortic valves, as well as varying degrees of malposition of the great arteries. A 3D printed model based on CT datasets can help accurately understand VSD location to guide surgical approach.1007 In patients with DORV, the size and position of the VSD relative to the LV and the great arteries is important for understanding the physiology and for determining surgical repair.1008,1009

An accurate understanding of the intracardiac anatomy is crucial to estimate difficulties, predict VSD enlargement, and detect interposition of the atrioventricular valve apparatus or reduced ventricular cavity. 3D imaging of the intracardiac anatomy in this setting helps determine whether an intraventricular tunnel is viable and whether sufficient exposure can be obtained through the RA and tricuspid valve so that a right ventriculotomy can be avoided.1010

Because modern CT scanners offer the benefit of improved temporal and spatial resolution, algorithms for lower radiation doses, and advanced 3D postprocessing tools, they are a low-risk and high-quality alterative to diagnostic cardiac catheterization. They have been increasingly used in the evaluation of more complex anatomical arrangements. Table 66 presents the main recommendations for the use of CT in the evaluation of DORV.

Table 66
Recommendations for the use of computed tomography in the evaluation of double-outlet right ventricle
4.1.3.3. Common Arterial Trunk

Echocardiography is the primary modality for evaluation of common arterial trunk. However, when visualization of extracardiac structures is limited, CT may be useful for delineating the extracardiac anatomy of common arterial trunk.1011 Preoperative evaluation should include delineation of vascular anatomy, particularly the pulmonary component and the distance between the pulmonary arteries. Whether the pulmonary arteries originate from the sinotubular junction, a sinus of the truncal root, or if there is crossing of their origins should also be determined.1012 The morphological features dictate the surgical approach, and the presence of associated anomalies influences the surgical outcome and patient mortality.

These anomalies may range from varying degrees of coarctation to interruption of the aortic arch. CT contributes to vascular assessment by accurately identifying the origin and course of the pulmonary arteries and characterizing the degree of aortic arch malformation.1013 Additionally, the spatial resolution of CT provides diagnostic information regarding coronary circulation by allowing a clear delineation of the coronary ostia and epicardial course. CAAs may occur, such as a single coronary artery, abnormal proximal epicardial course, intramural course, and slit-like or pinpoint ostia. The presence of a coronary anomaly is a risk factor for late mortality after surgical repair.1014,1015

Postoperative evaluation should assess if continuity between the RV and pulmonary artery was established via a conduit, excluding areas of significant luminal narrowing or local vascular distortions. Determining the proximity of the surgical repair to other structures, such as coronary circulation and the retrosternal space, is essential when reoperation is required.

For surgical repairs in the aortic region, CT is useful for characterization of the anastomotic site, excluding anastomotic narrowing, aneurysmal dilations, or other local complications.1010,1016Table 67 presents the recommendations for the use of CT in the evaluation of common arterial trunk.

Table 67
Recommendations for the use of computed tomography in the evaluation of common arterial trunk
4.1.3.4. Transposition of the Great Arteries

Preoperatively, CT can be a useful complementary method in the diagnosis of coronary anomalies and associated lesions, such as aortic arch obstruction.1018

After a Jatene procedure, careful evaluation of the ostia and proximal part of the coronary arteries is mandatory, as they are transferred from the native aorta to the neoaorta (native pulmonary valve) during arterial switch. CT is the noninvasive modality of choice to evaluate the coronary region, including the ostia and the presence of an epicardial course after coronary reimplantation. Angulation and traction may occur and lead to ischemia and myocardial damage. In these cases, CT is indicated for the evaluation of coronary distortions and luminal reduction.10191021

The pulmonary and systemic venous baffles are also assessed for stenosis at suture sites. Pulmonary stenosis may occur at the supravalvular level or involve the pulmonary arteries as a consequence of their repositioning following the LeCompte maneuver or local distortions due to dilation of the neoaortic root.1022

In atrial-level repair, it is possible to clearly delineate both the pulmonary venous baffle and the superior and inferior vena cava baffles. When MRI evaluation of the systemic ventricle is not feasible, CT is an alternative for assessing RV volume and function.1023Table 68 presents recommendations for the use of CT in the evaluation of transposition of the great arteries.

Table 68
Recommendations for the use of computed tomography in the assessment of transposition of the great arteries
4.1.3.5. Congenitally Corrected Transposition of the Great Arteries

CT allows for the preoperative characterization of atrioventricular and ventriculoarterial discordance, as well as other associated defects. It is as an alternative for patients in whom MRI is contraindicated and is particularly useful for accurate delineation of coronary anatomy. CT accurately demonstrates inversion of the ventricles and coronary arteries, as well as the spatial relationship between the aorta and pulmonary trunk. Among associated defects, CT can locate VSDs and evaluate hemodynamic effects. Varying degrees of LVOT may be present and may include alterations in either the subpulmonary or pulmonary valve.1010,1025

CT can provide a comprehensive postoperative evaluation at both the arterial and atrial levels (double switch), including assessment of coronary reimplantation, arterial anastomosis, and venous redirections at the atrial level.1026 When only physiological repair is performed, CT can assist in assessing corrections of pulmonary venous baffle obstructions or residual shunting after VSD closure. Table 69 presents the recommendations for the use of CT in the evaluation of congenitally corrected transposition of the great arteries

Table 69
Recommendations for the use of computed tomography in the assessment of congenitally corrected transposition of the great arteries
4.1.4. Thoracic Aorta Anomalies

4.1.4.1. Coarctation and Other Aortic Abnormalities

Like CMR, CT is a complementary noninvasive method that provides visualization of the aorta in the investigation of aortic anomalies.975,977,993,1028 These include coarctation, hypoplasia, aortic arch interruption, among others, as well as associated lesions.977,1029 The accuracy of CT is slightly superior to CMR due to its high spatial resolution.

Some conditions are associated with the formation of vascular rings. CT is crucial for visualization of the airways and often provides information that are not attainable with other diagnostic methods, simultaneously demonstrating the vascular anomaly and its impact on the airways.977 Vascular compression of the central airways may result from several conditions, such as aortic arch anomalies, pulmonary sling, tetralogy of Fallot with absent pulmonary valve, or pulmonary artery dilation.977,10291032 It should be noted that CT evaluation of esophageal compression is limited and should often be complemented by other methods, such as esophagography.1029

Follow-up of correction of aortic arch coarctation or interruption is recommended to assess aortic arch geometry and to rule out complications such as restenosis, local aneurysms, or dissections. This follow-up should preferably be conducted using CMR, as it does not require the use of ionizing radiation.975 However, in patients with a ferromagnetic implant, CT is preferred because it causes fewer local artifacts that may limit luminal assessment.984,1030,1033,1034 Device-related complications after endograft implantation include residual stenosis, fracture, dissection, endoleak, or local aneurysm, without the occurrence of artifacts as in CMR. Tables 70 and 71 present recommendations for the use of CT in the evaluation of CoA and aortic arch anomalies, respectively.

Table 70
Recommendations for the use of computed tomography in the assessment of coarctation of the aorta (CoA)
Table 71
Recommendations for the use of computed tomography in the assessment of aortic arch anomalies
4.1.5. Univentricular Heart

In recent years, the use of CTA in pediatric patients has rapidly increased due to its excellent spatial and temporal resolution. Fast examinations using the latest generation CT scanners have been applied in univentricular heart conditions, in which only 1 ventricle is fully developed.1039 The high spatial resolution of CTA allows excellent evaluation of small structures, as well as a comprehensive assessment of extracardiac vasculature and its relationships with other thoracic structures.

Correction of univentricular heart involves 3 stages of univentricular palliative surgery. The first stage, if necessary and dependent on the physiology, is performed in neonates and usually involves a Norwood procedure, systemic-to-pulmonary arterial shunt, or pulmonary artery banding. Some centers advocate a "hybrid" approach consisting of catheter-placed ductal stent and pulmonary artery bands.986,1040

4.1.5.1. Prior to Stage 1 Surgery

While many patients with single-ventricle anatomy can be adequately assessed using echocardiography prior to stage 1 surgery, CTA is occasionally needed to define complex anatomy, particularly when echocardiography fails to delineate extracardiac vascular anatomy.986 In some cases, a detailed description of the arterial duct anatomy is required for planning stent implantation in more complex and challenging anatomies.1041

4.1.5.2. After Stage 1 Surgery (Norwood, Systemic-to-pulmonary Arterial Shunt, Hybrid)

Between stage 1 and 2 surgery, systemic and pulmonary artery stenoses are relatively common, and are often insufficiently visualized with echocardiography. Distal and segmental pulmonary branch stenosis secondary to retraction and stenosis at anastomotic or selective banding sites are well visualized by CTA.

Patients with systemic-to-pulmonary artery shunts occasionally experience shunt thrombosis, resulting in acute, profound cyanosis. Shunt thrombosis can be challenging to identify with echocardiography, but CTA, given its wide accessibility and fast imaging acquisition times, is an excellent alternative and may also help determine the need for intervention.986,1042,1043

In most centers, cardiac catheterization is performed in preparation for the Glenn procedure. A comparison of CTA and cardiac catheterization prior to stage 2 palliation revealed excellent correlation with surgical findings for both modalities and no difference in surgical outcomes to hospital discharge. The catheterization group had increased radiation and contrast exposure, required central vascular access and general anesthesia in all cases, and had a relatively high rate of adverse events.1044 A previous study randomly assigned pre-stage 2 patients to either CMR or catheterization and found no differences in surgical and medium-term outcomes after a mean follow-up period of 8 years.1045 Some centers now propose that noninvasive diagnostic evaluation be performed before palliation and that catheterization be reserved for therapeutic procedures.1046

4.1.5.3. After Stage 2 and 3 Surgery (Glenn and Fontan Procedures)

Cardiovascular CT has been shown to adequately visualize all aspects of the Glenn or Fontan circuit after single-ventricle palliation. Changes in hemodynamics and anatomy after single-ventricle palliation cause unique challenges in optimal opacification of the pulmonary arteries and cavopulmonary circuit that can result in nondiagnostic CTA studies or erroneous image interpretation. It is important to use techniques to optimize enhancement of the pulmonary arteries and recognize common pitfalls in performing and interpreting pulmonary CTA studies at each stage.1047,1048

Thrombus formation is relatively common, and thrombi can be visualized by CTA in the Fontan conduit, residual ventricle or in the residual pulmonary artery stump after ligation of the pulmonary artery. PE may also be identified by CTA. However, care should be taken to optimize the contrast injection technique both to optimally opacify the Fontan circuit and to avoid a false positive diagnosis of PE.986,1048

Another common complication in this group of patients is pulmonary artery stenosis, which may occur due to scarring from previous manipulations, shunt anastomosis, diffuse branch hypoplasia after Norwood surgery, or after removal of pulmonary bands. CTA is excellent for the evaluation of pulmonary arteries, as well as previous pulmonary stents that may be poor visualized on CMR due to imaging artifacts.1033,1049

CTA can also visualize systemic-to-pulmonary and/or venovenous collateral vessels but, contrary to CMR, cannot quantify their flows or hemodynamic effects. However, CTA remains an alternative for cases where CMR is contraindicated.1033,10501053 Quantification of ventricular function by CTA may be warranted in patients with metallic implants and contraindications to CMR.986,1048

CTA also provides diagnostic information in more unstable and complex clinical situations such as patients on extracorporeal membrane oxygenation or ventricular assist device support, a population in which conventional imaging may be challenging. In addition to evaluating residual lesions, it is possible to evaluate cannula positioning, presence of thrombi, and possible sites of infection in the mediastinum.986,1054Table 72 presents the recommendations for the use of CT in the evaluation of univentricular heart.

Table 72
Recommendations for the use of computed tomography in the assessment of univentricular heart
4.1.6. Other

Cardiac malformations can be associated with abnormal arrangement of the thoracic and abdominal organs. Heterotaxy and situs abnormalities consist of an abnormal arrangement of visceral organs in the thoracoabdominal cavity across the normal left-right axis of the body. They are associated with a high occurrence of congenital heart and abdominal defects, including APVCs, systemic venous abnormalities, asplenia, and other visceral abnormalities. They often involve more complex heart defects that require comprehensive vascular assessment across various regions.1055

CT provides extensive and valuable data on cardiovascular and extracardiac structures in heterotaxy. It accurately assesses thoracic anatomy, including lung parenchyma and airways, and clarifies the arrangement of abdominal viscera.1056,1057

Due to its high spatial resolution and multiplanar image reconstruction capabilities, CT allows for a comprehensive evaluation of other anomalies, such as crisscross heart, in which abnormal rotation of the long axis of the ventricles results in crossing of the ventricular inflows. It also allows evaluation of twisted atrioventricular connections and associated intra and extracardiac anomalies to help choose the best surgical approach.1058Table 73 presents the recommendations for the use of CT in the evaluation of heterotaxy and situs abnormalities.

Table 73
Recommendations for the use of computed tomography in the assessment of heterotaxy and situs abnormalities

4.2. CMR in Congenital Heart Disease

The use of CMR has become an important strategy in the diagnosis of congenital heart diseases. Because of its high spatial and temporal resolutions, CMR allows detailed anatomical assessment of congenital heart diseases and accurate evaluation of surgical outcomes, including potential complications from different surgical approaches. CMR is particularly suitable for pediatric populations as it does not require the use of ionizing radiation.

CMR provides several imaging modalities in a single examination, allowing for the assessment of different cardiovascular parameters. Cine CMR sequences are considered the gold standard for estimating ventricular function and volumes, which is essential for the pre and postoperative management of several congenital heart diseases. Flow assessments using phase-contrast techniques can accurately define valvular lesions and intra or extracardiac shunts. Angiographic studies (arterial and venous) allow for the adequate evaluation of systemic and pulmonary circulations in both pre and postoperative settings. Finally, tissue characterization helps to differentiate structures based on their histological composition (eg, tumors and thrombi).

While CMR offers several benefits in the diagnosis of congenital heart diseases, its use should be limited to specific settings due to its complexity and limited availability. CMR is particularly useful when echocardiography is limited (due to suboptimal images) or insufficient. In addition, breath-holding is usually required during image acquisition with CMR; in patients who are unable to cooperate and breath-hold (typically patients aged < 7 years), anesthesia and endotracheal intubation are required, with controlled apnea using a ventilator.

4.2.1. Evaluation of intracardiac and Extracardiac Shunts

4.2.1.1. ASDs

In general, ASDs are conclusively evaluated by echocardiography to guide clinical decisions in pediatric patients.975,1059 CMR is a complementary test, particularly in adolescents and adults, when echocardiography is inconclusive.974,978

Sinus venosus ASDs and associated defects such as anomalous pulmonary venous return, which is often associated with superior sinus venosus ASD, may be difficult to visualize on echocardiography.975,976,10601062 In these cases, CMR is a valuable tool for preoperative evaluation.974

CMR also allows the evaluation of hemodynamic effects by calculating the Qp/Qs ratio and the degree of ventricular overload and performance. 975,1063 In patients scheduled for surgical or percutaneous intervention, prior evaluation with CMR is less accurate in the delineation of ASD and its borders compared with echocardiography and CT.979,981 However, it may be used to plan the most appropriate treatment strategy for secundum ASDs.974

4.2.1.2. Patent Foramen Ovale

Like ASD, the evaluation of patent foramen ovale (PFO) by CMR is rarely necessary, as echocardiography and other modalities such as transcranial Doppler are usually conclusive.978,1059 CMR or CT may be used in rare cases where echocardiography is limited.981 The assessment involves checking for intravenous contrast medium extravasation or signs of transseptal flow during Valsalva maneuvers.1064,1065

After percutaneous closure of PFO, CMR and CT are only indicated if complications such as infection, malposition, embolization, or persistent shunt are suspected.978Table 74 presents the main recommendations for the use of CMR in the evaluation of ASDs.

Table 74
Recommendations for the use of cardiac magnetic resonance imaging in the assessment of atrial septal defects (ASDs)
4.2.1.3. Partial and Total APVC

The anatomy of both partial and total APVC is well characterized by both CT and CMR. CMR provides detailed evaluation of venous confluence and the drainage site, identifying potential areas of venous obstruction. It also assess cardiac anatomy to identify associated lesions,971,10671070 being particularly indicated for preoperative assessment in these patients.974,976

CMR has the advantage over CT of providing a better evaluation of hemodynamic effects, degree of chamber overload, and ventricular performance. It may be used for follow-up in asymptomatic partial APVC cases involving more than 1 vein or total APVC, especially when there is a change in clinical presentation.974 Postoperatively, CMR may play a role in the follow-up of patients at higher risk of unfavorable outcomes, such as venous obstruction or dysfunction, or total APVC.974Table 75 presents the main recommendations for the use of CMR in the evaluation of APVC.

Table 75
Recommendations for the use of cardiac magnetic resonance imaging in the assessment of anomalous pulmonary venous connection (APVC)
4.2.1.4. VSDs

VSDs are also well assessed by echocardiography, which typically allows for adequate clinical decision-making. CMR is reserved for cases where echocardiography cannot provide a complete evaluation, usually in adolescents and adults, particularly as part of the preoperative assessment.974 Apical muscular VSDs may be more difficult to visualize on echocardiography. In DORV, both CMR and TC are valuable for accurately determining VSD position, dimension, and location, particularly in supracristal VSDs.1005,10721074 This information is crucial for planning the adequate approach for VSD repair.

As with the other defects described above, CMR is able to quantify hemodynamic effects, including the Qp/Qs ratio, degree of chamber overload, and ventricular performance, as well as associated defects. 975 In the follow-up of untreated VSDs or in treated individuals, CMR is only relevant in patients with unfavorable clinical evolution.974Table 76 presents the recommendations for the use of CMR in the evaluation of VSDs.

Table 76
Recommendations for the use of cardiac magnetic resonance imaging in the assessment of ventricular septal defects
4.2.1.5. AVSDs

In most cases, echocardiography remains the primary modality for the assessment of AVSDs, as it provides comprehensive and conclusive assessments. CMR is typically reserved for cases where there is a need to investigate associated lesions or to more accurately quantify the hemodynamic effects of AVSDs,975 as well as to assess the degree of ventricular imbalance.

CMR may play a role in preoperative evaluation or in the follow-up of patients (whether treated or not) with unfavorable clinical evolution. Routine post-treatment evaluation with CMR is indicated primarily for high-risk patients (eg, those with congestive symptoms, residual shunts, etc.). 974Table 77 presents the recommendations for the use of CMR in the evaluation of AVSDs.

Table 77
Recommendations for the use of cardiac magnetic resonance imaging in the assessment of atrioventricular septal defects (AVSD)
4.2.1.6. Patent Ductus Arteriosus

PDA is also adequately assessed by echocardiography in most patients. CMR and CT are reserved for cases where echocardiography is inconclusive or ambiguous, particularly in pretreatment evaluations.974

In cases with larger or complex PDA morphologies, CMR and CT offer superior anatomical assessment, providing accurate measurements and critical information for treatment planning, especially for percutaneous interventions.

Some patients may develop obstructions in the pulmonary or aortic territories after treatment, which are well-evaluated by CMR.974 As in other scenarios, CRM can help assess the repercussions of PDA,975 particularly during follow-up of patients with unfavorable outcomes, whether treated or not.974Table 78 presents the recommendations for the use of CMR in the evaluation of PDA.

Table 78
Recommendations for the use of cardiac magnetic resonance imaging in the assessment of patent ductus arteriosus (PDA)
4.2.2. Congenital Valve Abnormalities

Congenital heart diseases may be associated with valvular abnormalities. Echocardiography is the modality of choice for assessing valve morphology and function. CMR is primarily used to evaluate the physiological impact of valvular regurgitation by measuring the regurgitant volume, regurgitant fraction, and ventricular size and function. This information plays a crucial role in deciding the timing of therapeutic interventions, particularly surgical and/or percutaneous procedures. In patients with valvular stenosis, CMR can be used to determine valve orifice size, although it may underestimate peak velocity and the estimated pressure gradient.

4.2.2.1. Tricuspid Valve/Ebstein's Anomaly

CMR is considered the gold standard for quantifying RV volumes and function, which are often challenging to assess accurately with echocardiography. Serial evaluations of RV volume and function by CMR can be useful for the determination of disease progression and RV deterioration. Quantification of tricuspid regurgitation is particularly challenging in patients with Ebstein's anomaly, where the regurgitant jet(s) may be multiple and have unusual directions. Additionally, the direction of jet may change in different phases of systole due to annular motion of the tricuspid valve, potentially leading to inaccuracies and different findings between examinations.988

Neijenhuis et al.1075 conducted a retrospective review of patients with Ebstein's anomaly from a single institution who underwent cone reconstruction. The primary objectives were to assess late-term tricuspid valve competence and biventricular function using CMR. The secondary objective was to evaluate biventricular reverse remodeling after cone reconstruction. The authors chose to not include the atrialized RV in the RV volume preoperatively, which significantly reduced measured RV volumes. If the authors had measured the "anatomical RV" (functional RV + atrialized RV) both preoperatively and postoperatively, an even more significant decrease in these volumes might have occurred after cone repair. This is why some authors suggest including the total "anatomical RV" in the RV volume preoperatively.988 Other authors also suggest that the study by Neijenhuis et al.1075 is limited by the small number of patients who had follow-up CMR imaging.1076 Beroukhim et al.1077 retrospectively reviewed pre and postoperative CMR studies of patients with Ebstein's anomaly and found significantly reduced RV volumes. Cone reconstruction led to reduced tricuspid regurgitation and RV stroke volume, increased LV stroke volume, improved LV basal septal strain, and improved LV synchrony. The authors included the atrialized RV in the RV volumes as they believed this would better demonstrate volume changes related to volume load reduction, given that the cone reconstruction repositions the functional annulus.

4.2.2.2. Mitral Valve

Although several studies have demonstrated the value of CMR in the evaluation and quantification of mitral regurgitation, echocardiography remains the method of choice due to its accessibility, low cost, and convenience. In young children with congenital mitral valve regurgitation, echocardiography is used for diagnosis and follow-up, while CMR is reserved for cases where echocardiography is inconclusive or clinical findings do not correspond to the severity of mitral regurgitation. There is a dearth of comparative studies, and most have shown a modest agreement between qualitative and quantitative values. This is reasonable given the several factors affecting the evaluation of mitral valve regurgitation by each imaging modality. Quantification reproducibility has been consistently higher with CMR.875

Cawley et al.1078 prospectively compared echocardiography and CMR in the evaluation of mitral valve regurgitation and showed that CMR has lower intraobserver and interobserver variabilities for regurgitant volume, suggesting CMR may be superior for serial measurements.

Guidelines from the European Society and AHA/ACC emphasize the importance of assessing the hemodynamic effects of mitral regurgitation on the LV and LA. However, these guidelines offer limited recommendations on how to conduct a comprehensive and standardized CMR evaluation.1079

4.2.2.3. Mitral Stenosis

Mitral valve stenosis rarely occurs as an isolated defect. It more commonly occurs as an acquired lesion or in association with left-sided obstructive lesions, such as Shone's syndrome and hypoplastic left heart syndrome, or other CHDs.

Most of the complex congenital mitral valve lesions, including double-orifice MV, supravalvular mitral ring, mitral arcade, and parachute MV, are typically associated with MV stenosis. In children, estimation of MV stenosis includes at least the evaluation of transvalvular pressure gradient, orifice area, and annular diameter. Recommendations for adults cannot be directly applied to children without adequate modulation according to age. Evaluations should also include associated defects, as they may influence therapeutic approach. Typically, data obtained via echocardiography are satisfactory, but additional tools such as 3D echocardiography may sometimes be used as well. The role of an integrated multi-modality imaging approach, including CMR and CT, should be discussed and reserved for more complex cases where the analysis of associated defects causing left-sided obstructive lesions is essential for determining their severity.1080

4.2.2.4. Pulmonary Valve

Flow measurement by CMR using velocity mapping is useful for estimating the severity of pulmonary regurgitation or obstruction due to congenital malformations or after percutaneous intervention.

CMR is currently the best method for quantification of pulmonary regurgitation and serial assessment of RV remodeling and function in patients with significant pulmonary regurgitation. The direct method based on the use of phase-contrast imaging with acquisition obtained from above the pulmonary valve is the preferred method, as it allows direct measurement of total pulmonic forward stroke volume and regurgitant fraction.875

Echocardiography and right heart catheterization are the gold standards for diagnosing pulmonary valve stenosis and assessing disease severity and treatment response.1081 MRI may also provide valuable information about valve morphology and mobility, poststenotic dilatation, the degree of stenosis, and the location of supra or subvalvular stenosis. Different types of stenosis may be distinguished by CMR. The valvular pulmonary stenosis jet may be directed toward the left pulmonary artery, resulting in enlargement of the left pulmonary artery and increased blood flow to the left lung. Stenotic bicuspid pulmonary valve is commonly associated with poststenotic pulmonary arterial dilatation and aneurysm formation resulting from separated poststenotic flow, which may be seen at 4D phase-contrast MRI.990 The degree of stenosis may also be evaluated using velocity mapping, although echocardiography is typically preferred.

4.2.2.5. Aortic Valve

Although CMR can provide important information about aortic valve morphology, its full potential has yet to be determined, and further studies of clinical outcomes are needed before CMR data can be integrated into the management of patients with significant aortic valvular lesions. Cine MRI of the aortic valve leaflets can be used to assess aortic valve morphology in the presence of poor echocardiographic windows. CMR can provide a detailed assessment of the aortic valve structure and aortic root anatomy, which assists in identifying the cause of regurgitation. In addition, the dimensions of the entire thoracic aorta can be measured. The advantages of CMR in aortic regurgitation are quantification of the regurgitation and of LV volumes and function, particularly for serial measurement.

Bicuspid aortic valve (BAV) is the most common malformation of the aortic valve and one of the most common congenital cardiovascular malformations, with an estimated incidence of 1% to 2% of the population. Aortic regurgitation and aortic stenosis are common in BAV. BAVs may occur alone or in association with other congenital malformations, such as CoA, sub or supravalvular aortic stenosis, VSD, PDA, and sinus of Valsalva aneurysm. Patients with BAVs who have documented dilation of the sinuses of Valsalva or ascending aorta should undergo serial assessment of the dimensions, as the aortopathy may progress with time. Table 79 presents the recommendations for the use of CMR in the evaluation of congenital valve abnormalities.

Table 79
Recommendations for the use of cardiac magnetic resonance imaging in the assessment of congenital valve abnormalities
4.2.3. Conotruncal Anomalies

4.2.3.1. Tetralogy of Fallot

The major contribution of MRI lies in the postoperative evaluation of residual defects, with pulmonary insufficiency being one of the most significant complications. The main advantage of MRI is its ability to accurately quantify ventricular size and function. It is the gold standard for evaluating ventricular volumes and flow in patients with tetralogy of Fallot, as it can assess the hemodynamic effects of residual pulmonary regurgitation on RV function after repair of tetralogy of Fallot. Untreated pulmonary regurgitation is detrimental in the long term, causing ventricular dilation and dysfunction, arrhythmias, and late adverse events.1084 Tricuspid regurgitation may occur as a consequence of RV dilation, causing even more RV dilation. Both RV and LV dysfunction may be due to longstanding cyanosis before repair and/or inadequate myocardial protection during repair, adverse ventricular–ventricular interactions, electromechanical dyssynchrony, and coronary artery abnormalities.1085,1086

The timing of surgical reintervention is crucial and remains a challenge, requiring monitoring of ventricular volumes and function to avoid missing the chance of functional recovery after the intervention. Recommendations for reintervention in asymptomatic patients with significant pulmonary regurgitation depend on RV volumes. When there is progressive RV dilation to RV indexed end-systolic volume (RVESVi) ≥ 80 mL/m² and/or RV indexed end-diastolic volume (RVEDVi) ≥ 160 mL/m², reintervention should be considered, especially when there is associated dysfunction of either ventricle.10871090

The postoperative follow-up of tetralogy of Fallot repair should also include evaluation of aneurysms and akinetic regions in the RVOT and other residual lesions such as stenoses or intracardiac shunts. Residual VSD after surgical repair usually results from patch dehiscence or incomplete closure and may lead to LV volume overload. Residual stenosis may be present in the infundibulum, pulmonary valve, pulmonary trunk, or pulmonary arteries. RV hypertrophy and pressure overload have been described as independent risk factors for poor RV performance and unfavorable evolution, even in patients with smaller RV volumes.1091

Complications such as aortic dilation and aortic valve regurgitation may also occur in the follow-up of these patients, but they rarely progress to AD.1092

Additionally, LGE can be used to establish prognosis by correlating the amount of fibrosis with ventricular dysfunction, exercise intolerance, and arrhythmia onset.

More recently, the use of parametric mapping has been growing, and increased ECV measured by pre- and post-LGE T1 values has also been associated with RV volume overload and arrhythmias, suggesting that the measurement of diffuse fibrosis can help stratify patient risk. Table 80 presents the recommendations for the use of CMR in the evaluation of tetralogy of Fallot.

Table 80
Recommendations for the use of cardiac magnetic resonance imaging in the assessment of tetralogy of Fallot
4.2.3.2. DORV

DORV involves a wide spectrum of anatomical arrangements depending on the relationship of the VSD, resulting in variable physiological presentations.1005 Therefore, surgical intervention depends on the prevailing physiology preoperatively.

MRI provides 3D assessment of intracardiac anatomy, characterizing the vascular relationship with the VSD, as well as a comprehensive assessment of valvular and ventricular function and volumes. Evaluation of the atrioventricular valve apparatus, its relationship with the VSD, and the presence or absence of straddling are important diagnostic information. Biventricular repair may only be performed in the presence of 2 adequately sized ventricles.1008 The creation of an intraventricular tunnel compromises RV volume because a part of the RV is incorporated into the LVOT. Therefore, it is important to assess preoperative RV cavity size and estimate the volume of the remaining RV after the intended surgical approach.

Preoperative evaluation of these patients will help determine whether the anatomical substrate is suitable for biventricular repair. The presence of a subaortic or subpulmonary infundibulum should be assessed, as it assists in preoperative decision-making.

Potential complications after biventricular repair depend on the surgery indicated for each DORV phenotype. These may include ventricular dilation and/or dysfunction, ventricular outflow tract obstruction, and residual VSD.1098Table 81 presents the recommendations for the use of CMR in the evaluation of DORV.

Table 81
Recommendations for the use of cardiac magnetic resonance imaging in the assessment of double-outlet right ventricle
4.2.3.3. Common Arterial Trunk

Preoperative evaluation in patients with common arterial trunk is typically performed with echocardiography. In some cases, the origin of the pulmonary arteries from the common arterial trunk may not be clear, or a better assessment of the truncal valve may be necessary.1099 The root of the ventriculoarterial junction is often dilated, and the truncal valve almost always exhibits some abnormality, such as dysplasia or an abnormal number of cusps with poor coaptation, often leading to insufficiency. In rare cases, there is limited valve opening.1100

Evaluation of the aortic arch should also be conducted to establish its laterality and integrity. Common arterial trunk may sometimes be associated with aortic arch interruption, most commonly between the left common carotid artery and subclavian arteries. In this case, the length of the interrupted segment, the diameter of the aorta distal to the interrupted segment, and areas of stenosis should be quantified.1101

The surgical repair of patients with common arterial trunk involves reconstructing the RVOT to restore continuity between the RV and pulmonary artery. This may include the placement of an RV-to-pulmonary artery (RV-PA) conduit, which is prone to develop stenosis and regurgitation. MRI provides accurate anatomic and functional assessment of residual lesions in the RV-PA conduit and the distal pulmonary arterial tree, as well quantification of RV volumes and mass to assess for RV sequelae.1102 RV assessment is crucial to assess for RV insufficiency or residual RVOT obstruction after surgical repair, and monitoring should be performed to assist in decision-making regarding additional therapeutic procedures.

Repercussions of truncal valve dysfunction on the LV may occur, the most common being valve regurgitation. Patients with a repaired aortic arch may exhibit some degree of obstruction postoperatively, which is another cause of long-term pressure overload. Table 82 presents the recommendations for the use of CMR in the evaluation of common arterial trunk.

Table 82
Recommendations for the use of cardiac magnetic resonance imaging in the assessment of common arterial trunk
4.2.3.4. Transposition of the Great Arteries

Echocardiography is the imaging modality of choice for preoperative evaluation of patients with transposition of the great arteries and, in the vast majority of cases, can provide sufficient anatomical and functional information for surgical correction. In patients with more complex morphology, preoperative assessment may be complemented by CT for coronary delineation or by either CMR or CT for suspected subpulmonary obstruction or aortic delineation.

The Jatene procedure (arterial switch operation) is currently the surgical procedure of choice. The main postoperative complications are related to the anastomotic and coronary reimplantation sites.1019 The pulmonary valve and aortic valve may be assessed by local flow measurements or MRA.1104

Pulmonary artery or supravalvular pulmonary artery stenosis may occur after the LeCompte maneuver, either unilaterally or bilaterally, due to vascular displacement. Neoaortic root dilation and neoaortic valve regurgitation are common after surgery, leading to long-term complications. Aortic regurgitation may be quantitatively assessed by CMR by estimating the local regurgitant fraction and its impact on the left chambers.

Complications such as ischemia and infarction can be evaluated by myocardial perfusion and myocardial viability assessment. LV dysfunction and arrhythmias are rare but can occur and may be related to problems with coronary reimplantation or myocardial protection during the arterial switch procedure.1105 Evaluation of the vascular anatomy of coronary reimplantation is more accurately assessed by CT due to its better spatial resolution.

After atrial-level repair for transposition of the great arteries, in which only physiological correction is achieved, the patency of the venous baffle, as well as systemic RV contractile performance and the presence of tricuspid valve regurgitation, should be evaluated. In the long-term, there may be RV dysfunction and failure as well as progressive tricuspid regurgitation (systemic atrioventricular valve). MRI provides reliable and robust data on systemic RV systolic function. Additionally, it can better assess the degree of myocardial hypertrophy and associated fibrosis. It can also quantify residual shunting at the atrial level, although small communications may be better visualized by echocardiography. Table 83 presents the recommendations for the use of CMR in the evaluation of transposition of the great arteries.

Table 83
Recommendations for the use of cardiac magnetic resonance imaging in the assessment of transposition of the great arteries
4.2.3.5. Congenitally Corrected Transposition of the Great Arteries

Congenitally corrected transposition of the great arteries may occur alone or in combination with other structural cardiac anomalies. MRI provides assessment of associated lesions, which may include pulmonary stenosis, tricuspid valve anomalies, and VSD. It can also characterize intracardiac and large vessel anatomy and is indicated for the quantification of ventricular volumes, function, and myocardial mass, especially in cases where echocardiography of the RV is more challenging and less accurate. The tricuspid valve may be dysplastic and exhibit variable degrees of coaptation (Ebstein-like) or regurgitation due to systemic RV dilation.

Functional assessment of the anatomical RV, which is connected to the aorta and is under systemic load, should be conducted, as it will eventually develop systolic or tricuspid regurgitation.1107

Physiological correction of structural lesions may be performed, but the RV will remain supporting the systemic circulation. These include VSD closure, tricuspid valve repair, and pulmonary stenosis correction. In addition to investigating residual lesions such as intracardiac shunts and quantifying tricuspid regurgitation and residual subpulmonary stenosis, systemic RV volumes, mass, and function should also be accurately monitored. MRI is the gold standard for evaluating the systemic RV and is recommended for adequate patient management.1108,1109 Changes in RV geometry such as significant dilation and hypertrophy, as well as the investigation of myocardial fibrosis, where LGE is typically seen at the inferior insertion point of the interventricular septum with no known clinical significance, and the presence of dense focal fibrosis in other portions of the RV remain controversial.1110 Larger studies investigating interstitial fibrosis using parametric mapping are necessary.

A double-switch operation may be performed in some patients with congenitally corrected transposition of the great arteries to reroute venous returns and ventricular outflows to convert the morphological LV into a systemic ventricle and the RV into a subpulmonary ventricle.1025,1111 In this setting, CT is often the best method for evaluating coronary reimplantation. Table 84 presents the recommendations for the use of CMR in the evaluation of congenitally corrected transposition of the great arteries

Table 84
Recommendations for the use of cardiac magnetic resonance imaging in the assessment of congenitally corrected transposition of the great arteries
4.2.4. Anomalies of the Thoracic Aorta

4.2.4.1. CoA

In young children with adequate acoustic windows, echocardiography is often sufficient to provide accurate and comprehensive preoperative information. CMR and CT are reserved for cases where echocardiography is inconclusive (older patients with poor acoustic windows) or when there is a need for a panoramic view of the aorta, as in cases of suspected associated lesions in the aortic arch.24 Although CMR is not routinely performed, it is superior to echocardiography in several aspects. CMR allows for a more comprehensive and accurate visualization of CoA anatomy, location, and severity, as well as of aortic arch anatomy and spatial relationship with its vessels. It also provides more accurate assessment of regional structures and the presence and extent of collaterals, allowing for adequate surgical planning even in complex cases.419,1040,1113 Follow-up MRI or CT may be performed to assess for long-term complications such as aneurysm formation, fracture, or stent migration. Table 85 presents the main recommendations for the use of CMR in the evaluation of CoA.

Table 85
Recommendations for the use of magnetic resonance imaging in the assessment of coarctation of the aorta (CoA)
4.2.4.2. Other Aortic Anomalies

The aorta can be affected by other congenital diseases, some of which are complex and require adequate preoperative evaluation. Some of these include aortic arch hypoplasia, interrupted aortic arch, and aortopulmonary window.1119

CMR is a well-established method for evaluating the aorta and its main branches in selected complex cases, allowing for an appropriate assessment of these conditions. CT provides a comparable evaluation and is superior in the evaluation of vascular rings, offering a better assessment of air-filled structures such as the trachea.

These methods are especially useful in postoperative follow-up. The clinical settings and recommendations are similar to those of CoA.1119Table 86 presents the main recommendations for the use of CMR in the evaluation of aortic arch anomalies.

Table 86
Recommendations for the use of computed tomography in the assessment of aortic arch anomalies
4.2.5. Univentricular Heart

Univentricular heart refers to a wide spectrum of cardiac malformations that preclude biventricular surgical repair. Correction of univentricular heart involves 3 stages of univentricular palliative surgery.1020

Echocardiography remains the primary modality for initial evaluation. In patients with a borderline ventricle, CMR may be used to help decide between uni or biventricular repair. Grosse-Wortmann et al.1118 compared the usefulness of echocardiography and CMR in the evaluation of borderline LV. Echocardiography consistently underestimated LV volume and did not correlate with CMR. LV geometry in patients with borderline LV is almost certainly the reason for the inaccuracy of echocardiography when compared with CMR.419,1113,1118

Although echocardiography remains a mainstay of diagnosis for patients with single-ventricle physiology, CMR has additional utility, especially in the evaluation of extracardiac anatomy by multiplanar and 3D reconstructions in patients with suboptimal acoustic windows or other technical limitations. CMR has become the gold standard for evaluating ventricular volumes, EF, and mass, using contiguous and parallel imaging with high temporal resolution, without the need for assumptions about ventricular shape. This is particularly true in the context of complex CHDs, in which the ventricular shape is typically unusual and highly variable, making echocardiographic assessment of volumes and mass less accurate and reproducible than CMR.11201122 Ventricular function and geometry are crucial parameters in the clinical evolution of patients with Fontan circulation.5,6 CMR allows for functional evaluation of the AV valve of the systemic ventricle and provides analysis of flow patterns through the Fontan circuit.1048

Studies have demonstrated that CMR combined with echocardiography may replace routine diagnostic catheterization in selected patients before the bidirectional Glenn procedure. In the absence of evidence of PH, routine measurement of pulmonary vascular resistance is not necessary before bidirectional Glenn operation. Brown et al.1123 compared catheterization and CMR in patients considered for bidirectional Glenn operation and found pulmonary resistance values within acceptable limits in the catheterization group, while patients in the CMR group did not fare differently after bidirectional Glenn operation as a result of the absence of resistance and pressure data.1114,1117,1123

After the Fontan procedure, patients remain at risk for numerous complications, including ventricular and valvular dysfunction, obstruction and/or stenosis of the Fontan conduit, pulmonary artery stenosis, CoA, formation of venous and systemic pulmonary collaterals, and intracardiac thrombus formation. CMR plays a fundamental role in monitoring these complications, as the limited acoustic window of echocardiography often precludes their detection.419

CMR also plays a role in determining the prognosis of these patients, as parameters derived from CMR, such as ventricular volume and myocardial fibrosis, were shown to be associated with adverse outcomes.1115,1124

CMR offers the possibility of tissue characterization with T1, T2, and T2* mapping of the myocardium to assess evidence of myocardial edema, scars, diffuse fibrosis, and iron deposition.1125 Many of these new quantitative techniques have only been used in small pediatric populations and are still under investigation to provide evidence-based data proving their utility.1048

Abnormal vascular connections between systemic arteries and the pulmonary vascular bed, known as systemic-to-pulmonary collateral (SPC) vessels, manifest in patients with a variety of congenital and acquired heart diseases, commonly occurring in patients with single-ventricle anatomy after superior cavopulmonary connection. However, their clinical significance remains unknown. It is well established that SPC flow can be quantified after bidirectional cavopulmonary connection and Fontan surgery using MRI flow analysis techniques.1053,11261130

After Glenn or Fontan operations, the increased central venous pressure may induce recanalization of embryologically preformed and obliterated vessels, with the development of systemic-to-pulmonary venous collaterals that can lead to systemic desaturation and worsening of ventricular function. This results in impaired daily performance in patients with univentricular heart.11311134

Lymphatic complications in patients with single-ventricle physiology may lead to Fontan failure and severe Fontan complications, such as plastic bronchitis, protein-losing enteropathy, and chylothorax. These complications are a significant source of morbidity and mortality, with historically limited treatment options. New lymphatic imaging techniques, such as non-contrast T2-weighted MR lymphography and dynamic contrast enhanced MR lymphangiography, can assess the anatomy of the lymphatic system in this patient population. In addition, these techniques have been instrumental in guiding the development of new lymphatic intervention methods, thereby advancing the treatment of lymphatic diseases.11341142Table 87 presents the main recommendations for the use of CMR in the management of univentricular heart.

Table 87
Recommendations for the use of computed tomography in the assessment of univentricular heart
4.2.6. Other

MRI may be useful in the evaluation of more complex heart diseases associated with significant spatial and geometric changes when echocardiography is limited. As MRI is not limited by poor acoustic windows, it can provide a more in-depth assessment, making it possible to detect not only intracardiac lesions but also associated thoracic and abdominal viscera abnormalities.1143

Heterotaxy is a group of congenital syndromes characterized by abnormal arrangement of thoracic and abdominal viscera. It can be classified as right or left isomerism depending on the morphology of atrial appendages. Heterotaxy involves a wide spectrum of anomalies, such as midline liver, polysplenia or asplenia, interruption of the inferior vena cava, and anomalous pulmonary venous drainage, as well as associated intracardiac malformations.1144,1145

CMR may also assist in the diagnosis of spatial anomalies such as crisscross heart, characterized by superoinferior ventricles and crossing of the ventricular inflow streams,1146,1147 in which it can visualize not only changes in perpendicular inflow tract disposition but also valve opening dynamics and the presence of straddling or overriding.1148

Table 88 presents the recommendations for the use of CMR in the evaluation of other cardiac malformations.

Table 88
Recommendations for the use of cardiac magnetic resonance imaging in the evaluation of other cardiac malformations
  • Development:
    Department of Cardiovascular Imaging (Departamento de Imagem Cardiovascular – DIC) of the Brazilian Society of cardiology (Sociedade Brasileira de Cardiologia – SBC), Brazilian College of Radiology and Diagnostic Imaging (Colégio Brasileiro de Radiologia e Diagnóstico por Imagem – CBR)
  • Coordinators:
    Carlos Eduardo Rochitte, Tiago Augusto Magalhães
  • SBC Clinical Practice Guidelines Committee:
    Carisi Anne Polanczyk (Coordinator), Humberto Graner Moreira, Mário de Seixas Rocha, Jose Airton de Arruda, Pedro Gabriel Melo de Barros e Silva – Period 2022-2023
  • Note:
    These guidelines are for information purposes and should not replace the clinical judgment of aphysician, who must ultimately determine the appropriate treatment for each patient.

List of abbreviations

  • AA  – aortic aneurysm
  • AAS  – acute aortic syndrome
  • ABI  – ankle-brachial index
  • ACC/AHA  – American College of Cardiology/American Heart Association
  • ACCURACY trial  – Assessment by Coronary Computed Tomographic Angiography of Individuals Undergoing Invasive Coronary Angiography
  • ACRIN-PA trial  – Angiography for Safe Discharge of Patients with Possible Acute Coronary Syndromes
  • ACS  – acute coronary syndrome
  • AD  – aortic dissection
  • AF  – atrial fibrillation
  • AMI  – acute myocardial infarction
  • APVC  – anomalous pulmonary venous connection
  • ARVD/C  – arrhythmogenic right ventricular dysplasia/cardiomyopathy
  • ASCVD  – atherosclerotic cardiovascular disease
  • ASD  – atrial septal defect
  • ATTR  – transthyretin amyloidosis
  • AUC  – area under the curve
  • AVSD  – atrioventricular septal defect
  • BEACON trial  – Better Evaluation of Acute Chest Pain with Coronary Computed Tomography Angiography
  • BMD  – Becker muscular dystrophy
  • CA  – cardiac amyloidosis
  • CAA  – coronary artery anomaly
  • CAC  – coronary artery calcium
  • CAC-DRS  – coronary artery calcium data and reporting system
  • CAD  – coronary artery disease
  • CAPTURE study  – Randomised Placebo-Controlled Trial of Abciximab Before and During Coronary Intervention in Refractory Unstable Angina
  • CARDIA study  – Coronary Artery Risk Development in Young Adults
  • CARMENTA trial  – CARdiovascular Magnetic rEsoNance imaging and computed Tomography Angiography
  • CATSCAN study  – Coronary Assessment by Computed Tomographic Scanning and Catheter Angiography
  • CBR  – Brazilian College of Radiology
  • CCTA  – coronary computed tomography angiography
  • CE-MARC study  – Clinical Evaluation of MAgnetic Resonance imaging in Coronary heart disease
  • CHD  – Chagas heart disease
  • CMR  – cardiac magnetic resonance
  • CoA  – coarctation of the aorta
  • CONFIRM registry  – Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicenter Registry
  • CONSERVE trial  – Coronary Computed Tomographic Angiography for Selective Cardiac Catheterization
  • CORE320 study  – Coronary Artery Evaluation using 320-row Multidetector Computed Tomography Angiography and Myocardial Perfusion
  • CORE64 study  – Coronary Artery Evaluation using 64-row Multidetector Computed Tomography Angiography
  • CP  – constrictive pericarditis
  • CRP  – C-reactive protein
  • CS  – cardiac sarcoidosis
  • CT  – computed tomography
  • CT-MPI  – CT myocardial perfusion imaging
  • CT-STAT trial  – Coronary Computed Tomographic Angiography for Systematic Triage of Acute Chest Pain Patients to Treatment
  • DCM  – dilated cardiomyopathy
  • DHS  – Dallas Heart Study
  • DISCHARGE trial  – Diagnostic Imaging Strategies for Patients with Stable Chest Pain and Intermediate Risk of Coronary Artery Disease
  • DISCOVER-FLOW trial  – Diagnosis of Ischemia-Causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve
  • DM  – diabetes mellitus
  • DMD  – Duchenne muscular dystrophy
  • DORV  – double-outlet right ventricle
  • EBCT  – electron beam computed tomography
  • ECG  – electrocardiogram
  • ECV  – extracellular volume
  • EDWT  – end-diastolic wall thickness
  • EMB  – endomyocardial biopsy
  • EMF  – endomyocardial fibrosis
  • FASTTRACK CABG study  – Safety and Feasibility Evaluation of Planning and Execution of Surgical Revascularization Solely Based on Coronary CTA and FFRCT in Patients With Complex Coronary Artery Disease
  • FFR  – fractional flow reserve
  • FFRCT  – CT-derived fractional flow reserve
  • FH  – familial hypercholesterolemia
  • FHS  – Framingham Heart Study
  • FMD  – flow-mediated dilation
  • FOURIER trial  – Further Cardiac Outcomes Research With PCSK9 Inhibition in Subjects with Elevated Risk
  • FRS  – Framingham risk score
  • GBCA  – gadolinium-based contrast agent
  • HCM  – hypertrophic cardiomyopathy
  • HF  – heart failure
  • HNR study  – Heinz Nixdorf Recall
  • HR  – hazard ratio
  • hs-Tn  – high-sensitivity troponin
  • HU  – Hounsfield units
  • ICD  – implantable cardioverter-defibrillator
  • IMH  – intramural hematoma
  • IMT  – intima-media thickness
  • ISCHEMIA trial  – International Study of Comparative Health Effectiveness with Medical and Invasive Approaches
  • JUPITER trial  – Justification for the Use of Statins in Prevention: an Intervention Trial Evaluating Rosuvastatin
  • LA  – left atrium
  • LAA  – left atrial appendage
  • LDL-c  – low-density lipoprotein cholesterol
  • LGE  – late gadolinium enhancement
  • LV  – left ventricle
  • LVEF  – left ventricular ejection fraction
  • LVH  – left ventricular hypertrophy
  • LVNC  – left ventricular noncompaction cardiomyopathy
  • LVOT  – left ventricular outflow tract
  • MACE  – major adverse cardiovascular events
  • MDCT  – multidetector computed tomography
  • MESA  – Multi-Ethnic Study of Atherosclerosis
  • MINOCA  – myocardial infarction with nonobstructive coronary arteries
  • MRI  – magnetic resonance imaging
  • MR-INFORM trial  – Magnetic Resonance Imaging for Myocardial Perfusion Assessment in Coronary Artery Disease
  • NHLBI  – National Heart, Lung, and Blood Institute
  • NIMISCAD  – Non Invasive Multicenter Italian Study for Coronary Artery Disease
  • NNT  – number needed to treat
  • NRI  – net reclassification index
  • OR  – odds ratio
  • ORBITA trial  – Objective Randomised Blinded Investigation with optimal medical Therapy of Angioplasty in stable angina
  • PACC project  – Prospective Army Coronary Calcium
  • PAOD  – peripheral arterial occlusive disease
  • PDA  – patent ductus arteriosus
  • PE  – pulmonary embolism
  • PET  – positron emission tomography
  • PFO  – patent foramen ovale
  • PH  – pulmonary hypertension
  • PLATFORM trial  – Prospective LongitudinAl Trial of FFRct: Outcome and Resource IMpacts
  • PPCM  – peripartum cardiomyopathy
  • PREDICT study  – Prospective Evaluation of Diabetic Ischemic Disease by Computed Tomography
  • PROMISE  – Prospective Multicenter Imaging Study for Evaluation of Chest Pain
  • PROTECTION study  - Prospective Multicenter Registry on RadiaTion Dose Estimates of Cardiac CT AngIOgraphy IN Daily Practice
  • PTE  – pulmonary thromboembolism
  • Qp/Qs  – pulmonary-to-systemic flow ratio
  • RAPID-CTCA trial  – Rapid Assessment of Potential Ischaemic Heart Disease with Computerised Tomography Coronary Angiography
  • RF  – radiofrequency
  • ROBINSCA trial  – Risk or Benefit in Screening for Cardiovascular Disease
  • ROC  – receiver operating characteristic
  • ROMICAT II trial  – Rule Out Myocardial Ischemia/Infarction Using Computer Assisted Tomography
  • RA  – right atrium
  • RV  – right ventricle
  • RVEF  – right ventricular ejection fraction
  • RVOT  – right ventricular outflow tract
  • SARS-CoV-2  – severe acute respiratory syndrome coronavirus 2
  • SBC  – Brazilian Society of Cardiology
  • SCCT  – Society of Cardiovascular Computed Tomography
  • SCORE  – Systemic COronary Risk Evaluation
  • SCOT-HEART trial  – Scottish COmputed Tomography of the HEART
  • SIS  – segment involvement score
  • SPC  – systemic-to-pulmonary collateral
  • SPECT  – single-photon emission computed tomography
  • SPINS study  – Stress CMR Perfusion Imaging in the United States
  • SSFP  – steady-state free precession
  • SYNTAX III REVOLUTION trial  – A Randomized Study to Evaluate the Feasibility of Heart-Team Clinical Decision Making Regarding the Optimal (Surgical or Percutaneous Based) Revascularization Strategy in Patients With Complex Coronary Artery Disease, Based on Non-invasive Coronary CT Angiography (CTA) Imaging Utilising High-definition GE Revolution™ Multi-slice CT and HeartFlow FFRCT Compared to the Current Standard of Care With Conventional Invasive Coronary Angiography (CA)
  • TARGET-CTCA trial  – Troponin in Acute Chest Pain to Risk Stratify and Guide EffecTive Use of Computed Tomography Coronary Angiography
  • TAVI  – transcatheter aortic valve implantation
  • TEE  – transesophageal echocardiography
  • TP-NOCA  - Troponin positive with nonobstructive coronary arteries
  • TTE  – transthoracic echocardiography
  • ViV  – valve-in-valve
  • VSD  – ventricular septal defect

References

  • 1 Brasil. Ministério da Saúde. Departamento de Informática do Sistema Único de Saúde. DATASUS: Página Inicial [Internet]. Brasília: Ministério da Saúde; 2023 [cited 2023 Oct 01]. Available from: https://datasus.saude.gov.br/
    » https://datasus.saude.gov.br/
  • 2 Sara L, Szarf G, Tachibana A, Shiozaki AA, Villa AV, Oliveira AC, et al. II Diretriz de Ressonância Magnética e Tomografia Computadorizada Cardiovascular da Sociedade Brasileira de Cardiologia e do Colégio Brasileiro de Radiologia. Arq Bras Cardiol. 2014;103(6 Suppl 3):1-86. doi: 10.5935/abc.2014S006.
    » https://doi.org/10.5935/abc.2014S006
  • 3 Narula J, Chandrashekhar Y, Ahmadi A, Abbara S, Berman DS, Blankstein R, et al. SCCT 2021 Expert Consensus Document on Coronary Computed Tomographic Angiography: A Report of the Society of Cardiovascular Computed Tomography. J Cardiovasc Comput Tomogr. 2021;15(3):192-217. doi: 10.1016/j.jcct.2020.11.001.
    » https://doi.org/10.1016/j.jcct.2020.11.001
  • 4 Rochitte CE, George RT, Chen MY, Arbab-Zadeh A, Dewey M, Miller JM, et al. Computed Tomography Angiography and Perfusion to Assess Coronary Artery Stenosis Causing Perfusion Defects by Single Photon Emission Computed Tomography: The CORE320 Study. Eur Heart J. 2014;35(17):1120-30. doi: 10.1093/eurheartj/eht488.
    » https://doi.org/10.1093/eurheartj/eht488
  • 5 Douglas PS, Pontone G, Hlatky MA, Patel MR, Norgaard BL, Byrne RA, et al. Clinical Outcomes of Fractional Flow Reserve by Computed Tomographic Angiography-guided Diagnostic Strategies vs. Usual Care in Patients with Suspected Coronary Artery Disease: The Prospective Longitudinal Trial of FFR(CT): Outcome and Resource Impacts Study. Eur Heart J. 2015;36(47):3359-67. doi: 10.1093/eurheartj/ehv444.
    » https://doi.org/10.1093/eurheartj/ehv444
  • 6 Patel MR, Nørgaard BL, Fairbairn TA, Nieman K, Akasaka T, Berman DS, et al. 1-Year Impact on Medical Practice and Clinical Outcomes of FFRCT: The ADVANCE Registry. JACC Cardiovasc Imaging. 2020;13(1):97-105. doi: 10.1016/j.jcmg.2019.03.003.
    » https://doi.org/10.1016/j.jcmg.2019.03.003
  • 7 Curzen N, Nicholas Z, Stuart B, Wilding S, Hill K, Shambrook J, et al. Fractional Flow Reserve Derived from Computed Tomography Coronary Angiography in the Assessment and Management of Stable Chest Pain: The FORECAST randomized Trial. Eur Heart J. 2021;42(37):3844-52. doi: 10.1093/eurheartj/ehab444.
    » https://doi.org/10.1093/eurheartj/ehab444
  • 8 Gulati M, Levy PD, Mukherjee D, Amsterdam E, Bhatt DL, Birtcher KK, et al. 2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation. 2021;144(22):368-454. doi: 10.1161/CIR.0000000000001029.
    » https://doi.org/10.1161/CIR.0000000000001029
  • 9 Blanke P, Weir-McCall JR, Achenbach S, Delgado V, Hausleiter J, Jilaihawi H, et al. Computed Tomography Imaging in the Context of Transcatheter Aortic Valve Implantation (TAVI)/Transcatheter Aortic Valve Replacement (TAVR): An Expert Consensus Document of the Society of Cardiovascular Computed Tomography. JACC Cardiovasc Imaging. 2019;12(1):1-24. doi: 10.1016/j.jcmg.2018.12.003.
    » https://doi.org/10.1016/j.jcmg.2018.12.003
  • 10 Greenwood JP, Maredia N, Younger JF, Brown JM, Nixon J, Everett CC, et al. Cardiovascular Magnetic Resonance and Single-photon Emission Computed Tomography for Diagnosis of Coronary Heart Disease (CE-MARC): A Prospective Trial. Lancet. 2012;379(9814):453-60. doi: 10.1016/S0140-6736(11)61335-4.
    » https://doi.org/10.1016/S0140-6736(11)61335-4
  • 11 Jaarsma C, Leiner T, Bekkers SC, Crijns HJ, Wildberger JE, Nagel E, et al. Diagnostic Performance of Noninvasive Myocardial Perfusion Imaging Using Single-photon Emission Computed Tomography, Cardiac Magnetic Resonance, and Positron Emission Tomography Imaging for the Detection of Obstructive Coronary Artery Disease: A Meta-analysis. J Am Coll Cardiol. 2012;59(19):1719-28. doi: 10.1016/j.jacc.2011.12.040.
    » https://doi.org/10.1016/j.jacc.2011.12.040
  • 12 Kim RJ, Albert TS, Wible JH, Elliott MD, Allen JC, Lee JC, et al. Performance of Delayed-enhancement Magnetic Resonance Imaging with Gadoversetamide Contrast for the Detection and Assessment of Myocardial Infarction: An International, Multicenter, Double-blinded, Randomized Trial. Circulation. 2008;117(5):629-37. doi: 10.1161/CIRCULATIONAHA.107.723262.
    » https://doi.org/10.1161/CIRCULATIONAHA.107.723262
  • 13 Kitagawa K, Sakuma H, Hirano T, Okamoto S, Makino K, Takeda K. Acute Myocardial Infarction: Myocardial Viability Assessment in Patients Early Thereafter Comparison of Contrast-enhanced MR Imaging with Resting (201)Tl SPECT. Single Photon Emission Computed Tomography. Radiology. 2003;226(1):138-44. doi: 10.1148/radiol.2261012108.
    » https://doi.org/10.1148/radiol.2261012108
  • 14 Mahrholdt H, Wagner A, Judd RM, Sechtem U, Kim RJ. Delayed Enhancement Cardiovascular Magnetic Resonance Assessment of Non-ischaemic Cardiomyopathies. Eur Heart J. 2005;26(15):1461-74. doi: 10.1093/eurheartj/ehi258.
    » https://doi.org/10.1093/eurheartj/ehi258
  • 15 Senthilkumar A, Majmudar MD, Shenoy C, Kim HW, Kim RJ. Identifying the Etiology: A Systematic Approach Using Delayed-enhancement Cardiovascular Magnetic Resonance. Heart Fail Clin. 2009;5(3):349-67. doi: 10.1016/j.hfc.2009.02.009.
    » https://doi.org/10.1016/j.hfc.2009.02.009
  • 16 Faludi AA, Izar MCO, Saraiva JFK, Chacra APM, Bianco HT, Afiune Neto A, et al. Atualização da Diretriz Brasileira de Dislipidemias e Prevenção da Aterosclerose – 2017. Arq Bras Cardiol. 2017;109(2 Suppl 1):1-76. doi: 10.5935/abc.20170121.
    » https://doi.org/10.5935/abc.20170121
  • 17 Précoma DB, Oliveira GMM, Simão AF, Dutra OP, Coelho OR, Izar MCO, et al. Updated Cardiovascular Prevention Guideline of the Brazilian Society of Cardiology - 2019. Arq Bras Cardiol. 2019;113(4):787-891. doi: 10.5935/abc.20190204.
    » https://doi.org/10.5935/abc.20190204
  • 18 Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, et al. 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation. 2019;140(11):563-95. doi: 10.1161/CIR.0000000000000677.
    » https://doi.org/10.1161/CIR.0000000000000677
  • 19 Mach F, Baigent C, Catapano AL, Koskinas KC, Casula M, Badimon L, et al. 2019 ESC/EAS Guidelines for the Management of Dyslipidaemias: Lipid Modification to Reduce Cardiovascular Risk. Eur Heart J. 2020;41(1):111-88. doi: 10.1093/eurheartj/ehz455.
    » https://doi.org/10.1093/eurheartj/ehz455
  • 20 Knuuti J, Ballo H, Juarez-Orozco LE, Saraste A, Kolh P, Rutjes AWS, et al. The Performance of Non-invasive Tests to Rule-in and Rule-out Significant Coronary Artery Stenosis in Patients with Stable Angina: A Meta-analysis Focused on Post-test Disease Probability. Eur Heart J. 2018;39(35):3322-30. doi: 10.1093/eurheartj/ehy267.
    » https://doi.org/10.1093/eurheartj/ehy267
  • 21 Knuuti J, Wijns W, Saraste A, Capodanno D, Barbato E, Funck-Brentano C, et al. 2019 ESC Guidelines for the Diagnosis and Management of Chronic Coronary Syndromes. Eur Heart J. 2020;41(3):407-77. doi: 10.1093/eurheartj/ehz425.
    » https://doi.org/10.1093/eurheartj/ehz425
  • 22 Diamond GA, Forrester JS. Analysis of Probability as an Aid in the Clinical Diagnosis of Coronary-artery Disease. N Engl J Med. 1979;300(24):1350-8. doi: 10.1056/NEJM197906143002402.
    » https://doi.org/10.1056/NEJM197906143002402
  • 23 Douglas PS, Hoffmann U, Patel MR, Mark DB, Al-Khalidi HR, Cavanaugh B, et al. Outcomes of Anatomical Versus Functional Testing for Coronary Artery Disease. N Engl J Med. 2015;372(14):1291-300. doi: 10.1056/NEJMoa1415516.
    » https://doi.org/10.1056/NEJMoa1415516
  • 24 Genders TS, Steyerberg EW, Hunink MG, Nieman K, Galema TW, Mollet NR, et al. Prediction Model to Estimate Presence of Coronary Artery Disease: Retrospective Pooled Analysis of Existing Cohorts. BMJ. 2012;344:e3485. doi: 10.1136/bmj.e3485.
    » https://doi.org/10.1136/bmj.e3485
  • 25 Taylor AJ, Cerqueira M, Hodgson JM, Mark D, Min J, O'Gara P, et al. ACCF/SCCT/ACR/AHA/ASE/ASNC/NASCI/SCAI/SCMR 2010 Appropriate Use Criteria for Cardiac Computed Tomography. A Report of the American College of Cardiology Foundation Appropriate Use Criteria Task Force, the Society of Cardiovascular Computed Tomography, the American College of Radiology, the American Heart Association, the American Society of Echocardiography, the American Society of Nuclear Cardiology, the North American Society for Cardiovascular Imaging, the Society for Cardiovascular Angiography and Interventions, and the Society for Cardiovascular Magnetic Resonance. J Cardiovasc Comput Tomogr. 2010;4(6):407. doi: 10.1016/j.jcct.2010.11.001.
    » https://doi.org/10.1016/j.jcct.2010.11.001
  • 26 Raggi P, Shaw LJ, Berman DS, Callister TQ. Prognostic Value of Coronary Artery Calcium Screening in Subjects with and without Diabetes. J Am Coll Cardiol. 2004;43(9):1663-9. doi: 10.1016/j.jacc.2003.09.068.
    » https://doi.org/10.1016/j.jacc.2003.09.068
  • 27 Budoff MJ, Shaw LJ, Liu ST, Weinstein SR, Mosler TP, Tseng PH, et al. Long-term Prognosis Associated with Coronary Calcification: Observations from a Registry of 25,253 Patients. J Am Coll Cardiol. 2007;49(18):1860-70. doi: 10.1016/j.jacc.2006.10.079.
    » https://doi.org/10.1016/j.jacc.2006.10.079
  • 28 Greenland P, LaBree L, Azen SP, Doherty TM, Detrano RC. Coronary Artery Calcium Score Combined with Framingham Score for Risk Prediction in Asymptomatic Individuals. JAMA. 2004;291(2):210-5. doi: 10.1001/jama.291.2.210.
    » https://doi.org/10.1001/jama.291.2.210
  • 29 Möhlenkamp S, Lehmann N, Moebus S, Schmermund A, Dragano N, Stang A, et al. Quantification of Coronary Atherosclerosis and Inflammation to Predict Coronary Events and All-cause Mortality. J Am Coll Cardiol. 2011;57(13):1455-64. doi: 10.1016/j.jacc.2010.10.043.
    » https://doi.org/10.1016/j.jacc.2010.10.043
  • 30 He ZX, Hedrick TD, Pratt CM, Verani MS, Aquino V, Roberts R, et al. Severity of Coronary Artery Calcification by Electron Beam Computed Tomography Predicts Silent Myocardial Ischemia. Circulation. 2000;101(3):244-51. doi: 10.1161/01.cir.101.3.244.
    » https://doi.org/10.1161/01.cir.101.3.244
  • 31 Yeboah J, McClelland RL, Polonsky TS, Burke GL, Sibley CT, O'Leary D, et al. Comparison of Novel Risk Markers for Improvement in Cardiovascular Risk Assessment in Intermediate-risk Individuals. JAMA. 2012;308(8):788-95. doi: 10.1001/jama.2012.9624.
    » https://doi.org/10.1001/jama.2012.9624
  • 32 Hecht HS, Blaha MJ, Kazerooni EA, Cury RC, Budoff M, Leipsic J, et al. CAC-DRS: Coronary Artery Calcium Data and Reporting System. An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT). J Cardiovasc Comput Tomogr. 2018;12(3):185-91. doi: 10.1016/j.jcct.2018.03.008.
    » https://doi.org/10.1016/j.jcct.2018.03.008
  • 33 Miedema MD, Duprez DA, Misialek JR, Blaha MJ, Nasir K, Silverman MG, et al. Use of Coronary Artery Calcium Testing to Guide Aspirin Utilization for Primary Prevention: Estimates from the Multi-ethnic Study of Atherosclerosis. Circ Cardiovasc Qual Outcomes. 2014;7(3):453-60. doi: 10.1161/CIRCOUTCOMES.113.000690.
    » https://doi.org/10.1161/CIRCOUTCOMES.113.000690
  • 34 Kalia NK, Miller LG, Nasir K, Blumenthal RS, Agrawal N, Budoff MJ. Visualizing Coronary Calcium is Associated with Improvements in Adherence to Statin Therapy. Atherosclerosis. 2006;185(2):394-9. doi: 10.1016/j.atherosclerosis.2005.06.018.
    » https://doi.org/10.1016/j.atherosclerosis.2005.06.018
  • 35 Kosmala A, Petritsch B, Weng AM, Bley TA, Gassenmaier T. Radiation Dose of Coronary CT Angiography with a Third-generation Dual-source CT in a "Real-world" Patient Population. Eur Radiol. 2019;29(8):4341-8. doi: 10.1007/s00330-018-5856-6.
    » https://doi.org/10.1007/s00330-018-5856-6
  • 36 Abbara S, Blanke P, Maroules CD, Cheezum M, Choi AD, Han BK, et al. SCCT Guidelines for the performance and acquisition of coronary computed tomographic angiography: A Report of the Society of Cardiovascular Computed Tomography Guidelines Committee: Endorsed by the North American Society for Cardiovascular Imaging (NASCI). J Cardiovasc Comput Tomogr. 2016;10(6):435-49. doi: 10.1016/j.jcct.2016.10.002.
    » https://doi.org/10.1016/j.jcct.2016.10.002
  • 37 Williams MC, Hunter A, Shah ASV, Assi V, Lewis S, Smith J, et al. Use of Coronary Computed Tomographic Angiography to Guide Management of Patients with Coronary Disease. J Am Coll Cardiol. 2016;67(15):1759-68. doi: 10.1016/j.jacc.2016.02.026.
    » https://doi.org/10.1016/j.jacc.2016.02.026
  • 38 Newby DE, Adamson PD, Berry C, Boon NA, Dweck MR, Flather M, et al. Coronary CT Angiography and 5-Year Risk of Myocardial Infarction. N Engl J Med. 2018;379(10):924-33. doi: 10.1056/NEJMoa1805971.
    » https://doi.org/10.1056/NEJMoa1805971
  • 39 Hochman JS, Anthopolos R, Reynolds HR, Bangalore S, Xu Y, O'Brien SM, et al. Survival After Invasive or Conservative Management of Stable Coronary Disease. Circulation. 2023;147(1):8-19. doi: 10.1161/CIRCULATIONAHA.122.062714.
    » https://doi.org/10.1161/CIRCULATIONAHA.122.062714
  • 40 Reynolds HR, Shaw LJ, Min JK, Page CB, Berman DS, Chaitman BR, et al. Outcomes in the ISCHEMIA Trial Based on Coronary Artery Disease and Ischemia Severity. Circulation. 2021;144(13):1024-38. doi: 10.1161/CIRCULATIONAHA.120.049755.
    » https://doi.org/10.1161/CIRCULATIONAHA.120.049755
  • 41 Cury RC, Leipsic J, Abbara S, Achenbach S, Berman D, Bittencourt M, et al. CAD-RADS™ 2.0 - 2022 Coronary Artery Disease-Reporting and Data System: An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Cardiology (ACC), the American College of Radiology (ACR), and the North America Society of Cardiovascular Imaging (NASCI). J Cardiovasc Comput Tomogr. 2022;16(6):536-57. doi: 10.1016/j.jcct.2022.07.002.
    » https://doi.org/10.1016/j.jcct.2022.07.002
  • 42 Ferraro R, Latina JM, Alfaddagh A, Michos ED, Blaha MJ, Jones SR, et al. Evaluation and Management of Patients with Stable Angina: Beyond the Ischemia Paradigm: JACC State-of-the-Art Review. J Am Coll Cardiol. 2020;76(19):2252-66. doi: 10.1016/j.jacc.2020.08.078.
    » https://doi.org/10.1016/j.jacc.2020.08.078
  • 43 George RT, Mehra VC, Chen MY, Kitagawa K, Arbab-Zadeh A, Miller JM, et al. Myocardial CT Perfusion Imaging and SPECT for the Diagnosis of Coronary Artery Disease: A Head-to-head Comparison from the CORE320 Multicenter Diagnostic Performance Study. Radiology. 2014;272(2):407-16. doi: 10.1148/radiol.14140806.
    » https://doi.org/10.1148/radiol.14140806
  • 44 Agatston AS, Janowitz WR, Hildner FJ, Zusmer NR, Viamonte M Jr, Detrano R. Quantification of Coronary Artery Calcium Using Ultrafast Computed Tomography. J Am Coll Cardiol. 1990;15(4):827-32. doi: 10.1016/0735-1097(90)90282-t.
    » https://doi.org/10.1016/0735-1097(90)90282-t
  • 45 Kapoor K, Cainzos-Achirica M, Nasir K. The Evolving Role of Coronary Artery Calcium in Preventive Cardiology 30 Years after the Agatston Score. Curr Opin Cardiol. 2020;35(5):500-7. doi: 10.1097/HCO.0000000000000771.
    » https://doi.org/10.1097/HCO.0000000000000771
  • 46 Greenland P, Blaha MJ, Budoff MJ, Erbel R, Watson KE. Coronary Calcium Score and Cardiovascular Risk. J Am Coll Cardiol. 2018;72(4):434-47. doi: 10.1016/j.jacc.2018.05.027.
    » https://doi.org/10.1016/j.jacc.2018.05.027
  • 47 Sandfort V, Bluemke DA. CT Calcium Scoring. History, Current Status and Outlook. Diagn Interv Imaging. 2017;98(1):3-10. doi: 10.1016/j.diii.2016.06.007.
    » https://doi.org/10.1016/j.diii.2016.06.007
  • 48 Arad Y, Goodman KJ, Roth M, Newstein D, Guerci AD. Coronary Calcification, Coronary Disease Risk Factors, C-reactive Protein, and Atherosclerotic Cardiovascular Disease Events: The St. Francis Heart Study. J Am Coll Cardiol. 2005;46(1):158-65. doi: 10.1016/j.jacc.2005.02.088.
    » https://doi.org/10.1016/j.jacc.2005.02.088
  • 49 Bild DE, Bluemke DA, Burke GL, Detrano R, Roux AVD, Folsom AR, et al. Multi-Ethnic Study of Atherosclerosis: Objectives and Design. Am J Epidemiol. 2002;156(9):871-81. doi: 10.1093/aje/kwf113.
    » https://doi.org/10.1093/aje/kwf113
  • 50 Blaha MJ, Whelton SP, Al Rifai M, Dardari ZA, Shaw LJ, Al-Mallah MH, et al. Rationale and Design of the Coronary Artery Calcium Consortium: A Multicenter Cohort Study. J Cardiovasc Comput Tomogr. 2017;11(1):54-61. doi: 10.1016/j.jcct.2016.11.004.
    » https://doi.org/10.1016/j.jcct.2016.11.004
  • 51 Victor RG, Haley RW, Willett DL, Peshock RM, Vaeth PC, Leonard D, et al. The Dallas Heart Study: A Population-based Probability Sample for the Multidisciplinary Study of Ethnic Differences in Cardiovascular Health. Am J Cardiol. 2004;93(12):1473-80. doi: 10.1016/j.amjcard.2004.02.058.
    » https://doi.org/10.1016/j.amjcard.2004.02.058
  • 52 Schmermund A, Möhlenkamp S, Stang A, Grönemeyer D, Seibel R, Hirche H, et al. Assessment of Clinically Silent Atherosclerotic Disease and Established and Novel Risk Factors for Predicting Myocardial Infarction and Cardiac Death in Healthy Middle-aged Subjects: Rationale and Design of the Heinz Nixdorf RECALL Study. Risk Factors, Evaluation of Coronary Calcium and Lifestyle. Am Heart J. 2002;144(2):212-8. doi: 10.1067/mhj.2002.123579.
    » https://doi.org/10.1067/mhj.2002.123579
  • 53 Hofman A, Brusselle GG, Murad SD, van Duijn CM, Franco OH, Goedegebure A, et al. The Rotterdam Study: 2016 Objectives and Design Update. Eur J Epidemiol. 2015;30(8):661-708. doi: 10.1007/s10654-015-0082-x.
    » https://doi.org/10.1007/s10654-015-0082-x
  • 54 Detrano R, Guerci AD, Carr JJ, Bild DE, Burke G, Folsom AR, et al. Coronary Calcium as a Predictor of Coronary Events in Four Racial or Ethnic Groups. N Engl J Med. 2008;358(13):1336-45. doi: 10.1056/NEJMoa072100.
    » https://doi.org/10.1056/NEJMoa072100
  • 55 Azevedo CF, Rochitte CE, Lima JA. Coronary Artery Calcium Score and Coronary Computed Tomographic Angiography for Cardiovascular Risk Stratification. Arq Bras Cardiol. 2012;98(6):559-68. doi: 10.1590/s0066-782x2012000600012.
    » https://doi.org/10.1590/s0066-782x2012000600012
  • 56 Greenland P, Bonow RO, Brundage BH, Budoff MJ, Eisenberg MJ, Grundy SM, et al. ACCF/AHA 2007 Clinical Expert Consensus Document on Coronary Artery Calcium Scoring by Computed Tomography in Global Cardiovascular Risk Assessment and in Evaluation of Patients with Chest Pain: A Report of the American College of Cardiology Foundation Clinical Expert Consensus Task Force (ACCF/AHA Writing Committee to Update the 2000 Expert Consensus Document on Electron Beam Computed Tomography) developed in collaboration with the Society of Atherosclerosis Imaging and Prevention and the Society of Cardiovascular Computed Tomography. J Am Coll Cardiol. 2007;49(3):378-402. doi: 10.1016/j.jacc.2006.10.001.
    » https://doi.org/10.1016/j.jacc.2006.10.001
  • 57 Kramer CK, Zinman B, Gross JL, Canani LH, Rodrigues TC, Azevedo MJ, et al. Coronary Artery Calcium Score Prediction of All Cause Mortality and Cardiovascular Events in People with Type 2 Diabetes: Systematic Review and Meta-analysis. BMJ. 2013;346:f1654. doi: 10.1136/bmj.f1654.
    » https://doi.org/10.1136/bmj.f1654
  • 58 Budoff MJ, Nasir K, McClelland RL, Detrano R, Wong N, Blumenthal RS, et al. Coronary Calcium Predicts Events Better with Absolute Calcium Scores Than Age-sex-race/ethnicity Percentiles: MESA (Multi-Ethnic Study of Atherosclerosis). J Am Coll Cardiol. 2009;53(4):345-52. doi: 10.1016/j.jacc.2008.07.072.
    » https://doi.org/10.1016/j.jacc.2008.07.072
  • 59 Berman DS, Wong ND, Gransar H, Miranda-Peats R, Dahlbeck J, Hayes SW, et al. Relationship Between Stress-induced Myocardial Ischemia and Atherosclerosis Measured by Coronary Calcium Tomography. J Am Coll Cardiol. 2004;44(4):923-30. doi: 10.1016/j.jacc.2004.06.042.
    » https://doi.org/10.1016/j.jacc.2004.06.042
  • 60 Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, et al. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation. 2019;139(25):1082-143. doi: 10.1161/CIR.0000000000000625.
    » https://doi.org/10.1161/CIR.0000000000000625
  • 61 Nasir K, Bittencourt MS, Blaha MJ, Blankstein R, Agatson AS, Rivera JJ, et al. Implications of Coronary Artery Calcium Testing among Statin Candidates According to American College of Cardiology/American Heart Association Cholesterol Management Guidelines: MESA (Multi-Ethnic Study of Atherosclerosis). J Am Coll Cardiol. 2015;66(15):1657-68. doi: 10.1016/j.jacc.2015.07.066.
    » https://doi.org/10.1016/j.jacc.2015.07.066
  • 62 DeFilippis AP, Young R, McEvoy JW, Michos ED, Sandfort V, Kronmal RA, et al. Risk Score Overestimation: The Impact of Individual Cardiovascular Risk Factors and Preventive Therapies on the Performance of the American Heart Association-American College of Cardiology-Atherosclerotic Cardiovascular Disease Risk Score in a Modern Multi-ethnic Cohort. Eur Heart J. 2017;38(8):598-608. doi: 10.1093/eurheartj/ehw301.
    » https://doi.org/10.1093/eurheartj/ehw301
  • 63 American Diabetes Association. 10. Cardiovascular Disease and Risk Management: Standards of Medical Care in Diabetes-2021. Diabetes Care. 2021;44(Suppl 1):125-50. doi: 10.2337/dc21-S010.
    » https://doi.org/10.2337/dc21-S010
  • 64 Miedema MD, Dardari ZA, Nasir K, Blankstein R, Knickelbine T, Oberembt S, et al. Association of Coronary Artery Calcium with Long-term, Cause-Specific Mortality among Young Adults. JAMA Netw Open. 2019;2(7):e197440. doi: 10.1001/jamanetworkopen.2019.7440.
    » https://doi.org/10.1001/jamanetworkopen.2019.7440
  • 65 Shaikh K, Li D, Nakanishi R, Kinninger A, Almeida S, Cherukuri L, et al. Low Short-term and Long-term Cardiovascular and All-cause Mortality in Absence of Coronary Artery Calcium: A 22-year Follow-up Observational Study from Large Cohort. J Diabetes Complications. 2019;33(9):616-22. doi: 10.1016/j.jdiacomp.2019.05.015.
    » https://doi.org/10.1016/j.jdiacomp.2019.05.015
  • 66 Budoff M, Backlund JC, Bluemke DA, Polak J, Bebu I, Schade D, et al. The Association of Coronary Artery Calcification with Subsequent Incidence of Cardiovascular Disease in Type 1 Diabetes: The DCCT/EDIC Trials. JACC Cardiovasc Imaging. 2019;12(7):1341-9. doi: 10.1016/j.jcmg.2019.01.014.
    » https://doi.org/10.1016/j.jcmg.2019.01.014
  • 67 Miname MH, Bittencourt MS, Moraes SR, Alves RIM, Silva PRS, Jannes CE, et al. Coronary Artery Calcium and Cardiovascular Events in Patients with Familial Hypercholesterolemia Receiving Standard Lipid-Lowering Therapy. JACC Cardiovasc Imaging. 2019;12(9):1797-804. doi: 10.1016/j.jcmg.2018.09.019.
    » https://doi.org/10.1016/j.jcmg.2018.09.019
  • 68 Gottlieb I, Miller JM, Arbab-Zadeh A, Dewey M, Clouse ME, Sara L, et al. The Absence of Coronary Calcification Does Not Exclude Obstructive Coronary Artery Disease or the Need for Revascularization in Patients Referred for Conventional Coronary Angiography. J Am Coll Cardiol. 2010;55(7):627-34. doi: 10.1016/j.jacc.2009.07.072.
    » https://doi.org/10.1016/j.jacc.2009.07.072
  • 69 Wang X, Le EPV, Rajani NK, Hudson-Peacock NJ, Pavey H, Tarkin JM, et al. A Zero Coronary Artery Calcium Score in Patients with Stable Chest Pain is Associated with a Good Prognosis, Despite Risk of Non-calcified Plaques. Open Heart. 2019;6(1):e000945. doi: 10.1136/openhrt-2018-000945.
    » https://doi.org/10.1136/openhrt-2018-000945
  • 70 Ayoub C, Erthal F, Abdelsalam MA, Murad MH, Wang Z, Erwin PJ, et al. Prognostic Value of Segment Involvement Score Compared to Other Measures of Coronary Atherosclerosis by Computed Tomography: A Systematic Review and Meta-analysis. J Cardiovasc Comput Tomogr. 2017;11(4):258-67. doi: 10.1016/j.jcct.2017.05.001.
    » https://doi.org/10.1016/j.jcct.2017.05.001
  • 71 Ferencik M, Pencina KM, Liu T, Ghemigian K, Baltrusaitis K, Massaro JM, et al. Coronary Artery Calcium Distribution Is an Independent Predictor of Incident Major Coronary Heart Disease Events: Results From the Framingham Heart Study. Circ Cardiovasc Imaging. 2017;10(10):e006592. doi: 10.1161/CIRCIMAGING.117.006592.
    » https://doi.org/10.1161/CIRCIMAGING.117.006592
  • 72 Tota-Maharaj R, Joshi PH, Budoff MJ, Whelton S, Zeb I, Rumberger J, et al. Usefulness of Regional Distribution of Coronary Artery Calcium to Improve the Prediction of All-cause Mortality. Am J Cardiol. 2015;115(9):1229-34. doi: 10.1016/j.amjcard.2015.01.555.
    » https://doi.org/10.1016/j.amjcard.2015.01.555
  • 73 Bittencourt MS, Blaha MJ, Blankstein R, Budoff M, Vargas JD, Blumenthal RS, et al. Polypill Therapy, Subclinical Atherosclerosis, and Cardiovascular Events-implications for the Use of Preventive Pharmacotherapy: MESA (Multi-Ethnic Study of Atherosclerosis). J Am Coll Cardiol. 2014;63(5):434-43. doi: 10.1016/j.jacc.2013.08.1640.
    » https://doi.org/10.1016/j.jacc.2013.08.1640
  • 74 Dzaye O, Razavi AC, Dardari ZA, Shaw LJ, Berman DS, Budoff MJ, et al. Modeling the Recommended Age for Initiating Coronary Artery Calcium Testing among At-Risk Young Adults. J Am Coll Cardiol. 2021;78(16):1573-83. doi: 10.1016/j.jacc.2021.08.019.
    » https://doi.org/10.1016/j.jacc.2021.08.019
  • 75 Kronmal RA, McClelland RL, Detrano R, Shea S, Lima JA, Cushman M, et al. Risk Factors for the Progression of Coronary Artery Calcification in Asymptomatic Subjects: Results from the Multi-Ethnic Study of Atherosclerosis (MESA). Circulation. 2007;115(21):2722-30. doi: 10.1161/CIRCULATIONAHA.106.674143.
    » https://doi.org/10.1161/CIRCULATIONAHA.106.674143
  • 76 Henein M, Granåsen G, Wiklund U, Schmermund A, Guerci A, Erbel R, et al. High Dose and Long-term Statin Therapy Accelerate Coronary Artery Calcification. Int J Cardiol. 2015;184:581-6. doi: 10.1016/j.ijcard.2015.02.072.
    » https://doi.org/10.1016/j.ijcard.2015.02.072
  • 77 Sung KC, Hong YS, Lee JY, Lee SJ, Chang Y, Ryu S, et al. Physical Activity and the Progression of Coronary Artery Calcification. Heart. 2021;107(21):1710-6. doi: 10.1136/heartjnl-2021-319346.
    » https://doi.org/10.1136/heartjnl-2021-319346
  • 78 Dzaye O, Dardari ZA, Cainzos-Achirica M, Blankstein R, Szklo M, Budoff MJ, et al. Incidence of New Coronary Calcification: Time to Conversion From CAC = 0. J Am Coll Cardiol. 2020;75(13):1610-3. doi: 10.1016/j.jacc.2020.01.047.
    » https://doi.org/10.1016/j.jacc.2020.01.047
  • 79 Dzaye O, Dardari ZA, Cainzos-Achirica M, Blankstein R, Agatston AS, Duebgen M, et al. Warranty Period of a Calcium Score of Zero: Comprehensive Analysis from MESA. JACC Cardiovasc Imaging. 2021;14(5):990-1002. doi: 10.1016/j.jcmg.2020.06.048.
    » https://doi.org/10.1016/j.jcmg.2020.06.048
  • 80 Malik S, Zhao Y, Budoff M, Nasir K, Blumenthal RS, Bertoni AG, et al. Coronary Artery Calcium Score for Long-term Risk Classification in Individuals with Type 2 Diabetes and Metabolic Syndrome from the Multi-Ethnic Study of Atherosclerosis. JAMA Cardiol. 2017;2(12):1332-40. doi: 10.1001/jamacardio.2017.4191.
    » https://doi.org/10.1001/jamacardio.2017.4191
  • 81 Sarwar A, Shaw LJ, Shapiro MD, Blankstein R, Hoffmann U, Cury RC, et al. Diagnostic and Prognostic Value of Absence of Coronary Artery Calcification. JACC Cardiovasc Imaging. 2009;2(6):675-88. doi: 10.1016/j.jcmg.2008.12.031.
    » https://doi.org/10.1016/j.jcmg.2008.12.031
  • 82 Nasir K, Rubin J, Blaha MJ, Shaw LJ, Blankstein R, Rivera JJ, et al. Interplay of Coronary Artery Calcification and Traditional Risk Factors for the Prediction of All-cause Mortality in Asymptomatic Individuals. Circ Cardiovasc Imaging. 2012;5(4):467-73. doi: 10.1161/CIRCIMAGING.111.964528.
    » https://doi.org/10.1161/CIRCIMAGING.111.964528
  • 83 Blaha MJ, Cainzos-Achirica M, Dardari Z, Blankstein R, Shaw LJ, Rozanski A, et al. All-cause and Cause-specific Mortality in Individuals with Zero and Minimal Coronary Artery Calcium: A Long-term, Competing Risk Analysis in the Coronary Artery Calcium Consortium. Atherosclerosis. 2020;294:72-9. doi: 10.1016/j.atherosclerosis.2019.11.008.
    » https://doi.org/10.1016/j.atherosclerosis.2019.11.008
  • 84 Peng AW, Dardari ZA, Blumenthal RS, Dzaye O, Obisesan OH, Uddin SMI, et al. Very High Coronary Artery Calcium (≥1000) and Association with Cardiovascular Disease Events, Non-cardiovascular Disease Outcomes, and Mortality: Results From MESA. Circulation. 2021;143(16):1571-83. doi: 10.1161/CIRCULATIONAHA.120.050545.
    » https://doi.org/10.1161/CIRCULATIONAHA.120.050545
  • 85 Peng AW, Mirbolouk M, Orimoloye OA, Osei AD, Dardari Z, Dzaye O, et al. Long-term All-cause and Cause-specific Mortality in Asymptomatic Patients with CAC ≥1,000: Results from the CAC Consortium. JACC Cardiovasc Imaging. 2020;13(1 Pt 1):83-93. doi: 10.1016/j.jcmg.2019.02.005.
    » https://doi.org/10.1016/j.jcmg.2019.02.005
  • 86 Elkeles RS, Godsland IF, Feher MD, Rubens MB, Roughton M, Nugara F, et al. Coronary Calcium Measurement Improves Prediction of Cardiovascular Events in Asymptomatic Patients with Type 2 Diabetes: The PREDICT Study. Eur Heart J. 2008;29(18):2244-51. doi: 10.1093/eurheartj/ehn279.
    » https://doi.org/10.1093/eurheartj/ehn279
  • 87 Okwuosa TM, Greenland P, Ning H, Liu K, Lloyd-Jones DM. Yield of Screening for Coronary Artery Calcium in Early Middle-age Adults Based on the 10-year Framingham Risk Score: The CARDIA Study. JACC Cardiovasc Imaging. 2012;5(9):923-30. doi: 10.1016/j.jcmg.2012.01.022.
    » https://doi.org/10.1016/j.jcmg.2012.01.022
  • 88 Taylor AJ, Bindeman J, Feuerstein I, Cao F, Brazaitis M, O'Malley PG. Coronary Calcium Independently Predicts Incident Premature Coronary Heart Disease Over Measured Cardiovascular Risk Factors: Mean Three-year Outcomes in the Prospective Army Coronary Calcium (PACC) Project. J Am Coll Cardiol. 2005;46(5):807-14. doi: 10.1016/j.jacc.2005.05.049.
    » https://doi.org/10.1016/j.jacc.2005.05.049
  • 89 Gallo A, Isla LP, Charrière S, Vimont A, Alonso R, Muñiz-Grijalvo O, et al. The Added Value of Coronary Calcium Score in Predicting Cardiovascular Events in Familial Hypercholesterolemia. JACC Cardiovasc Imaging. 2021;14(12):2414-24. doi: 10.1016/j.jcmg.2021.06.011.
    » https://doi.org/10.1016/j.jcmg.2021.06.011
  • 90 Sandesara PB, Mehta A, O'Neal WT, Kelli HM, Sathiyakumar V, Martin SS, et al. Clinical Significance of Zero Coronary Artery Calcium in Individuals with LDL Cholesterol ≥190 mg/dL: The Multi-Ethnic Study of Atherosclerosis. Atherosclerosis. 2020;292:224-9. doi: 10.1016/j.atherosclerosis.2019.09.014.
    » https://doi.org/10.1016/j.atherosclerosis.2019.09.014
  • 91 Stocker TJ, Deseive S, Leipsic J, Hadamitzky M, Chen MY, Rubinshtein R, et al. Reduction in Radiation Exposure in Cardiovascular Computed Tomography Imaging: Results from the PROspective multicenter registry on radiaTion dose Estimates of cardiac CT angIOgraphy iN daily practice in 2017 (PROTECTION VI). Eur Heart J. 2018;39(41):3715-23. doi: 10.1093/eurheartj/ehy546.
    » https://doi.org/10.1093/eurheartj/ehy546
  • 92 Han D, Hartaigh BÓ, Gransar H, Lee JH, Rizvi A, Baskaran L, et al. Incremental Prognostic Value of Coronary Computed Tomography Angiography Over Coronary Calcium Scoring for Major Adverse Cardiac Events in Elderly Asymptomatic Individuals. Eur Heart J Cardiovasc Imaging. 2018;19(6):675-83. doi: 10.1093/ehjci/jex150.
    » https://doi.org/10.1093/ehjci/jex150
  • 93 Cho I, Al'Aref SJ, Berger A, Ó Hartaigh B, Gransar H, Valenti V, et al. Prognostic Value of Coronary Computed Tomographic Angiography Findings in Asymptomatic Individuals: A 6-year Follow-up from the Prospective Multicentre International CONFIRM Study. Eur Heart J. 2018;39(11):934-41. doi: 10.1093/eurheartj/ehx774.
    » https://doi.org/10.1093/eurheartj/ehx774
  • 94 Senoner T, Plank F, Beyer C, Langer C, Birkl K, Steinkohl F, et al. Does Coronary Calcium Score Zero Reliably Rule Out Coronary Artery Disease in Low-to-intermediate Risk Patients? A Coronary CTA Study. J Cardiovasc Comput Tomogr. 2020;14(2):155-61. doi: 10.1016/j.jcct.2019.09.009.
    » https://doi.org/10.1016/j.jcct.2019.09.009
  • 95 Budoff MJ, Blankstein R, Nasir K, Blaha MJ. Power of Zero Stronger Than „Soft" Plaque. J Cardiovasc Comput Tomogr. 2020;14(3):279. doi: 10.1016/j.jcct.2019.11.005.
    » https://doi.org/10.1016/j.jcct.2019.11.005
  • 96 Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, et al. 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation. 2019;140(11):e596-e646. doi: 10.1161/CIR.0000000000000678.
    » https://doi.org/10.1161/CIR.0000000000000678
  • 97 van der Aalst CM, Denissen SJAM, Vonder M, Gratama JWC, Adriaansen HJ, Kuijpers D, Vliegenthart R, van Lennep JER, van der Harst P, Braam RL, van Dijkman PRM, van Bruggen R, Oudkerk M, de Koning HJ. Screening for cardiovascular disease risk using traditional risk factor assessment or coronary artery calcium scoring: the ROBINSCA trial. Eur Heart J Cardiovasc Imaging. 2020 Oct 20;21(11):1216-1224. doi: 10.1093/ehjci/jeaa168. PMID: 32584979.
    » https://doi.org/10.1093/ehjci/jeaa168
  • 98 Hecht HS, Cronin P, Blaha MJ, Budoff MJ, Kazerooni EA, Narula J, et al. 2016 SCCT/STR Guidelines for Coronary Artery Calcium Scoring of Noncontrast Noncardiac Chest CT Scans: A Report of the Society of Cardiovascular Computed Tomography and Society of Thoracic Radiology. J Cardiovasc Comput Tomogr. 2017;11(1):74-84. doi: 10.1016/j.jcct.2016.11.003.
    » https://doi.org/10.1016/j.jcct.2016.11.003
  • 99 Al'Aref SJ, Maliakal G, Singh G, van Rosendael AR, Ma X, Xu Z, et al. Machine Learning of Clinical Variables and Coronary Artery Calcium Scoring for the Prediction of Obstructive Coronary Artery Disease on Coronary Computed Tomography Angiography: Analysis from the CONFIRM Registry. Eur Heart J. 2020;41(3):359-67. doi: 10.1093/eurheartj/ehz565.
    » https://doi.org/10.1093/eurheartj/ehz565
  • 100 Santos RD, Nasir K. Insights Into Atherosclerosis from Invasive and Non-invasive Imaging Studies: Should we Treat Subclinical Atherosclerosis? Atherosclerosis. 2009;205(2):349-56. doi: 10.1016/j.atherosclerosis.2008.12.017.
    » https://doi.org/10.1016/j.atherosclerosis.2008.12.017
  • 101 Polonsky TS, McClelland RL, Jorgensen NW, Bild DE, Burke GL, Guerci AD, et al. Coronary Artery Calcium Score and Risk Classification for Coronary Heart Disease Prediction. JAMA. 2010;303(16):1610-6. doi: 10.1001/jama.2010.461.
    » https://doi.org/10.1001/jama.2010.461
  • 102 Mulders TA, Sivapalaratnam S, Stroes ES, Kastelein JJ, Guerci AD, Pinto-Sietsma SJ. Asymptomatic Individuals with a Positive Family History for Premature Coronary Artery Disease and Elevated Coronary Calcium Scores Benefit from Statin Treatment: A Post hoc Analysis from the St. Francis Heart Study. JACC Cardiovasc Imaging. 2012;5(3):252-60. doi: 10.1016/j.jcmg.2011.11.014.
    » https://doi.org/10.1016/j.jcmg.2011.11.014
  • 103 Erbel R, Möhlenkamp S, Moebus S, Schmermund A, Lehmann N, Stang A, et al. Coronary Risk Stratification, Discrimination, and Reclassification Improvement Based on Quantification of Subclinical Coronary Atherosclerosis: The Heinz Nixdorf Recall Study. J Am Coll Cardiol. 2010;56(17):1397-406. doi: 10.1016/j.jacc.2010.06.030.
    » https://doi.org/10.1016/j.jacc.2010.06.030
  • 104 Simon A, Chironi G, Levenson J. Comparative Performance of Subclinical Atherosclerosis Tests in Predicting Coronary Heart Disease in Asymptomatic Individuals. Eur Heart J. 2007;28(24):2967-71. doi: 10.1093/eurheartj/ehm487.
    » https://doi.org/10.1093/eurheartj/ehm487
  • 105 Manolio TA, Arnold AM, Post W, Bertoni AG, Schreiner PJ, Sacco RL, et al. Ethnic Differences in the Relationship of Carotid Atherosclerosis to Coronary Calcification: The Multi-Ethnic Study of Atherosclerosis. Atherosclerosis. 2008;197(1):132-8. doi: 10.1016/j.atherosclerosis.2007.02.030.
    » https://doi.org/10.1016/j.atherosclerosis.2007.02.030
  • 106 Folsom AR, Kronmal RA, Detrano RC, O'Leary DH, Bild DE, Bluemke DA, et al. Coronary Artery Calcification Compared with Carotid Intima-media Thickness in the Prediction of Cardiovascular Disease Incidence: The Multi-Ethnic Study of Atherosclerosis (MESA). Arch Intern Med. 2008;168(12):1333-9. doi: 10.1001/archinte.168.12.1333.
    » https://doi.org/10.1001/archinte.168.12.1333
  • 107 Brook RD, Bard RL, Patel S, Rubenfire M, Clarke NS, Kazerooni EA, et al. A Negative Carotid Plaque Area Test is Superior to Other Noninvasive Atherosclerosis Studies for Reducing the Likelihood of Having Underlying Significant Coronary Artery Disease. Arterioscler Thromb Vasc Biol. 2006;26(3):656-62. doi: 10.1161/01.ATV.0000200079.18690.60.
    » https://doi.org/10.1161/01.ATV.0000200079.18690.60
  • 108 Cainzos-Achirica M, Miedema MD, McEvoy JW, Al Rifai M, Greenland P, Dardari Z, et al. Coronary Artery Calcium for Personalized Allocation of Aspirin in Primary Prevention of Cardiovascular Disease in 2019: The MESA Study (Multi-Ethnic Study of Atherosclerosis). Circulation. 2020;141(19):1541-53. doi: 10.1161/CIRCULATIONAHA.119.045010.
    » https://doi.org/10.1161/CIRCULATIONAHA.119.045010
  • 109 Blaha MJ, Budoff MJ, DeFilippis AP, Blankstein R, Rivera JJ, Agatston A, et al. Associations between C-reactive Protein, Coronary Artery Calcium, and Cardiovascular Events: Implications for the JUPITER Population from MESA, a Population-based Cohort Study. Lancet. 2011;378(9792):684-92. doi: 10.1016/S0140-6736(11)60784-8.
    » https://doi.org/10.1016/S0140-6736(11)60784-8
  • 110 Mitchell JD, Fergestrom N, Gage BF, Paisley R, Moon P, Novak E, et al. Impact of Statins on Cardiovascular Outcomes Following Coronary Artery Calcium Scoring. J Am Coll Cardiol. 2018;72(25):3233-42. doi: 10.1016/j.jacc.2018.09.051.
    » https://doi.org/10.1016/j.jacc.2018.09.051
  • 111 Juarez-Orozco LE, Saraste A, Capodanno D, Prescott E, Ballo H, Bax JJ, et al. Impact of a Decreasing Pre-test Probability on the Performance of Diagnostic Tests for Coronary Artery Disease. Eur Heart J Cardiovasc Imaging. 2019;20(11):1198-207. doi: 10.1093/ehjci/jez054.
    » https://doi.org/10.1093/ehjci/jez054
  • 112 Miller JM, Rochitte CE, Dewey M, Arbab-Zadeh A, Niinuma H, Gottlieb I, et al. Diagnostic Performance of Coronary Angiography by 64-row CT. N Engl J Med. 2008;359(22):2324-36. doi: 10.1056/NEJMoa0806576.
    » https://doi.org/10.1056/NEJMoa0806576
  • 113 Haase R, Schlattmann P, Gueret P, Andreini D, Pontone G, Alkadhi H, et al. Diagnosis of Obstructive Coronary Artery Disease Using Computed Tomography Angiography in Patients with Stable Chest Pain Depending on Clinical Probability and in Clinically Important Subgroups: Meta-analysis of Individual Patient Data. BMJ. 2019;365:l1945. doi: 10.1136/bmj.l1945.
    » https://doi.org/10.1136/bmj.l1945
  • 114 Shah RV, Spahillari A, Mwasongwe S, Carr JJ, Terry JG, Mentz RJ, et al. Subclinical Atherosclerosis, Statin Eligibility, and Outcomes in African American Individuals: The Jackson Heart Study. JAMA Cardiol. 2017;2(6):644652. doi: 10.1001/jamacardio.2017.0944.
    » https://doi.org/10.1001/jamacardio.2017.0944
  • 115 Izar MCO, Giraldez VZR, Bertolami A, Santos RDD Filho, Lottenberg AM, Assad MHV, et al. Update of the Brazilian Guideline for Familial Hypercholesterolemia - 2021. Arq Bras Cardiol. 2021;117(4):782-844. doi: 10.36660/abc.20210788.
    » https://doi.org/10.36660/abc.20210788
  • 116 Anand DV, Lim E, Hopkins D, Corder R, Shaw LJ, Sharp P, et al. Risk Stratification in Uncomplicated Type 2 Diabetes: Prospective Evaluation of the Combined Use of Coronary Artery Calcium Imaging and Selective Myocardial Perfusion Scintigraphy. Eur Heart J. 2006;27(6):713-21. doi: 10.1093/eurheartj/ehi808.
    » https://doi.org/10.1093/eurheartj/ehi808
  • 117 Chang SM, Nabi F, Xu J, Peterson LE, Achari A, Pratt CM, et al. The Coronary Artery Calcium Score and Stress Myocardial Perfusion Imaging Provide Independent and Complementary Prediction of Cardiac Risk. J Am Coll Cardiol. 2009;54(20):1872-82. doi: 10.1016/j.jacc.2009.05.071.
    » https://doi.org/10.1016/j.jacc.2009.05.071
  • 118 Schenker MP, Dorbala S, Hong EC, Rybicki FJ, Hachamovitch R, Kwong RY, et al. Interrelation of Coronary Calcification, Myocardial Ischemia, and Outcomes in Patients with Intermediate Likelihood of Coronary Artery Disease: A Combined Positron Emission Tomography/Computed Tomography Study. Circulation. 2008;117(13):1693-700. doi: 10.1161/CIRCULATIONAHA.107.717512.
    » https://doi.org/10.1161/CIRCULATIONAHA.107.717512
  • 119 Villines TC, Hulten EA, Shaw LJ, Goyal M, Dunning A, Achenbach S, et al. Prevalence and Severity of Coronary Artery Disease and Adverse Events among Symptomatic Patients with Coronary Artery Calcification Scores of Zero Undergoing Coronary Computed Tomography Angiography: Results from the CONFIRM (Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicenter) Registry. J Am Coll Cardiol. 2011;58(24):2533-40. doi: 10.1016/j.jacc.2011.10.851.
    » https://doi.org/10.1016/j.jacc.2011.10.851
  • 120 Bittencourt MS, Hulten E, Ghoshhajra B, O'Leary D, Christman MP, Montana P, et al. Prognostic Value of Nonobstructive and Obstructive Coronary Artery Disease Detected by Coronary Computed Tomography Angiography to Identify Cardiovascular Events. Circ Cardiovasc Imaging. 2014;7(2):282-91. doi: 10.1161/CIRCIMAGING.113.001047.
    » https://doi.org/10.1161/CIRCIMAGING.113.001047
  • 121 Williams MC, Moss AJ, Dweck M, Adamson PD, Alam S, Hunter A, et al. Coronary Artery Plaque Characteristics Associated with Adverse Outcomes in the SCOT-HEART Study. J Am Coll Cardiol. 2019;73(3):291-301. doi: 10.1016/j.jacc.2018.10.066.
    » https://doi.org/10.1016/j.jacc.2018.10.066
  • 122 Hulten EA, Carbonaro S, Petrillo SP, Mitchell JD, Villines TC. Prognostic Value of Cardiac Computed Tomography Angiography: A Systematic Review and Meta-Analysis. J Am Coll Cardiol. 2011;57(10):1237-47. doi: 10.1016/j.jacc.2010.10.011.
    » https://doi.org/10.1016/j.jacc.2010.10.011
  • 123 Bittencourt MS, Hulten EA, Murthy VL, Cheezum M, Rochitte CE, Di Carli MF, et al. Clinical Outcomes after Evaluation of Stable Chest Pain by Coronary Computed Tomographic Angiography versus Usual Care: A Meta-Analysis. Circ Cardiovasc Imaging. 2016;9(4):e004419. doi: 10.1161/CIRCIMAGING.115.004419.
    » https://doi.org/10.1161/CIRCIMAGING.115.004419
  • 124 Jørgensen ME, Andersson C, Nørgaard BL, Abdulla J, Shreibati JB, Torp-Pedersen C, et al. Functional Testing or Coronary Computed Tomography Angiography in Patients with Stable Coronary Artery Disease. J Am Coll Cardiol. 2017;69(14):1761-70. doi: 10.1016/j.jacc.2017.01.046.
    » https://doi.org/10.1016/j.jacc.2017.01.046
  • 125 Carmo PBD, Magliano CADS, Rey HCV, Camargo GC, Trocado LFL, Gottlieb I. Cost-Effectiveness Analysis of CCTA in SUS, as Compared to Other Non-Invasive Imaging Modalities in Suspected Obstructive CAD. Arq Bras Cardiol. 2022;118(3):578-85. doi: 10.36660/abc.20201050.
    » https://doi.org/10.36660/abc.20201050
  • 126 Genders TS, Petersen SE, Pugliese F, Dastidar AG, Fleischmann KE, Nieman K, et al. The Optimal Imaging Strategy for Patients with Stable Chest Pain: A Cost-Effectiveness Analysis. Ann Intern Med. 2015;162(7):474-84. doi: 10.7326/M14-0027.
    » https://doi.org/10.7326/M14-0027
  • 127 Abidov A, Gallagher MJ, Chinnaiyan KM, Mehta LS, Wegner JH, Raff GL. Clinical Effectiveness of Coronary Computed Tomographic Angiography in the Triage of Patients to Cardiac Catheterization and Revascularization after Inconclusive Stress Testing: Results of a 2-Year Prospective Trial. J Nucl Cardiol. 2009;16(5):701-13. doi: 10.1007/s12350-009-9117-6.
    » https://doi.org/10.1007/s12350-009-9117-6
  • 128 Chang HJ, Lin FY, Gebow D, An HY, Andreini D, Bathina R, et al. Selective Referral Using CCTA versus Direct Referral for Individuals Referred to Invasive Coronary Angiography for Suspected CAD: A Randomized, Controlled, Open-Label Trial. JACC Cardiovasc Imaging. 2019;12(7 Pt 2):1303-12. doi: 10.1016/j.jcmg.2018.09.018.
    » https://doi.org/10.1016/j.jcmg.2018.09.018
  • 129 Maurovich-Horvat P, Bosserdt M, Kofoed KF, Rieckmann N, Benedek T, Donnelly P, et al. CT or Invasive Coronary Angiography in Stable Chest Pain. N Engl J Med. 2022;386(17):1591-602. doi: 10.1056/NEJMoa2200963.
    » https://doi.org/10.1056/NEJMoa2200963
  • 130 Stein PD, Yaekoub AY, Matta F, Sostman HD. 64-Slice CT for Diagnosis of Coronary Artery Disease: A Systematic Review. Am J Med. 2008;121(8):715-25. doi: 10.1016/j.amjmed.2008.02.039.
    » https://doi.org/10.1016/j.amjmed.2008.02.039
  • 131 Budoff MJ, Dowe D, Jollis JG, Gitter M, Sutherland J, Halamert E, et al. Diagnostic Performance of 64-Multidetector Row Coronary Computed Tomographic Angiography for Evaluation of Coronary Artery Stenosis in Individuals without Known Coronary Artery Disease: Results from the Prospective Multicenter ACCURACY (Assessment by Coronary Computed Tomographic Angiography of Individuals Undergoing Invasive Coronary Angiography) trial. J Am Coll Cardiol. 2008;52(21):1724-32. doi: 10.1016/j.jacc.2008.07.031.
    » https://doi.org/10.1016/j.jacc.2008.07.031
  • 132 Meijboom WB, Meijs MF, Schuijf JD, Cramer MJ, Mollet NR, van Mieghem CA, et al. Diagnostic Accuracy of 64-Slice Computed Tomography Coronary Angiography: A Prospective, Multicenter, Multivendor Study. J Am Coll Cardiol. 2008;52(25):2135-44. doi: 10.1016/j.jacc.2008.08.058.
    » https://doi.org/10.1016/j.jacc.2008.08.058
  • 133 National Institute for Health and Care Excellence. Recent-onset Chest Pain of Suspected Cardiac Origin: Assessment and Diagnosis. London: National Institute for Health and Care Excellence; 2016.
  • 134 Cho I, Chang HJ, Ó Hartaigh B, Shin S, Sung JM, Lin FY, et al. Incremental Prognostic Utility of Coronary CT Angiography for Asymptomatic Patients Based Upon Extent and Severity of Coronary Artery Calcium: Results from the COronary CT Angiography EvaluatioN For Clinical Outcomes InteRnational Multicenter (CONFIRM) Study. Eur Heart J. 2015;36(8):501-8. doi: 10.1093/eurheartj/ehu358.
    » https://doi.org/10.1093/eurheartj/ehu358
  • 135 Cho I, Chang HJ, Sung JM, Pencina MJ, Lin FY, Dunning AM, et al. Coronary Computed Tomographic Angiography and Risk of All-Cause Mortality and Nonfatal Myocardial Infarction in Subjects without Chest Pain Syndrome from the CONFIRM Registry (Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicenter Registry). Circulation. 2012;126(3):304-13. doi: 10.1161/CIRCULATIONAHA.111.081380.
    » https://doi.org/10.1161/CIRCULATIONAHA.111.081380
  • 136 Gray G, Davenport ED, Bron D, Rienks R, d'Arcy J, Guettler N, et al. The Challenge of Asymptomatic Coronary Artery Disease in Aircrew; Detecting Plaque Before the Accident. Heart. 2019;105(Suppl 1):s17-s24. doi: 10.1136/heartjnl-2018-313053.
    » https://doi.org/10.1136/heartjnl-2018-313053
  • 137 Budoff MJ, Karwasky R, Ahmadi N, Nasserian C, Pratt F, Stephens J, et al. Cost-Effectiveness of Multidetector Computed Tomography Compared with Myocardial Perfusion Imaging as Gatekeeper to Invasive Coronary Angiography in Asymptomatic Firefighters with Positive Treadmill tests. J Cardiovasc Comput Tomogr. 2009;3(5):323-30. doi: 10.1016/j.jcct.2009.08.004.
    » https://doi.org/10.1016/j.jcct.2009.08.004
  • 138 Ponikowski P, Voors AA, Anker SD, Bueno H, Cleland JGF, Coats AJS, et al. 2016 ESC Guidelines for the Diagnosis and Treatment of Acute and Chronic Heart Failure: The Task Force for the Diagnosis and Treatment of Acute and Chronic Heart Failure of the European Society of Cardiology (ESC)Developed with the Special Contribution of the Heart Failure Association (HFA) of the ESC. Eur Heart J. 2016;37(27):2129-200. doi: 10.1093/eurheartj/ehw128.
    » https://doi.org/10.1093/eurheartj/ehw128
  • 139 Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE Jr, Drazner MH, et al. 2013 ACCF/AHA Guideline for the Management of Heart Failure: Executive Summary: A Report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. Circulation. 2013;128(16):1810-52. doi: 10.1161/CIR.0b013e31829e8807.
    » https://doi.org/10.1161/CIR.0b013e31829e8807
  • 140 Wolk MJ, Bailey SR, Doherty JU, Douglas PS, Hendel RC, Kramer CM, et al. ACCF/AHA/ASE/ASNC/HFSA/HRS/SCAI/SCCT/SCMR/STS 2013 Multimodality Appropriate Use Criteria for the Detection and Risk Assessment of Stable Ischemic Heart Disease: A Report of the American College of Cardiology Foundation Appropriate Use Criteria Task Force, American Heart Association, American Society of Echocardiography, American Society of Nuclear Cardiology, Heart Failure Society of America, Heart Rhythm Society, Society for Cardiovascular Angiography and Interventions, Society of Cardiovascular Computed Tomography, Society for Cardiovascular Magnetic Resonance, and Society of Thoracic Surgeons. J Am Coll Cardiol. 2014;63(4):380-406. doi: 10.1016/j.jacc.2013.11.009.
    » https://doi.org/10.1016/j.jacc.2013.11.009
  • 141 Andreini D, Pontone G, Pepi M, Ballerini G, Bartorelli AL, Magini A, et al. Diagnostic Accuracy of Multidetector Computed Tomography Coronary Angiography in Patients with Dilated Cardiomyopathy. J Am Coll Cardiol. 2007;49(20):2044-50. doi: 10.1016/j.jacc.2007.01.086.
    » https://doi.org/10.1016/j.jacc.2007.01.086
  • 142 Ghostine S, Caussin C, Habis M, Habib Y, Clément C, Sigal-Cinqualbre A, et al. Non-Invasive Diagnosis of Ischaemic Heart Failure Using 64-Slice Computed Tomography. Eur Heart J. 2008;29(17):2133-40. doi: 10.1093/eurheartj/ehn072.
    » https://doi.org/10.1093/eurheartj/ehn072
  • 143 Andreini D, Pontone G, Bartorelli AL, Agostoni P, Mushtaq S, Bertella E, et al. Sixty-Four-Slice Multidetector Computed Tomography: An Accurate Imaging Modality for the Evaluation of Coronary Arteries in Dilated Cardiomyopathy of Unknown Etiology. Circ Cardiovasc Imaging. 2009;2(3):199-205. doi: 10.1161/CIRCIMAGING.108.822809.
    » https://doi.org/10.1161/CIRCIMAGING.108.822809
  • 144 Chow BJW, Coyle D, Hossain A, Laine M, Hanninen H, Ukkonen H, et al. Computed Tomography Coronary Angiography for Patients with Heart Failure (CTA-HF): A Randomized Controlled Trial (IMAGE-HF 1C). Eur Heart J Cardiovasc Imaging. 2021;22(9):1083-90. doi: 10.1093/ehjci/jeaa109.
    » https://doi.org/10.1093/ehjci/jeaa109
  • 145 Bax JJ, Di Carli M, Narula J, Delgado V. Multimodality Imaging in Ischaemic Heart Failure. Lancet. 2019;393(10175):1056-70. doi: 10.1016/S0140-6736(18)33207-0.
    » https://doi.org/10.1016/S0140-6736(18)33207-0
  • 146 Hickethier T, Wenning J, Doerner J, Maintz D, Michels G, Bunck AC. Fourth Update on CT Angiography of Coronary Stents: In Vitro Evaluation of 24 Novel Stent Types. Acta Radiol. 2018;59(9):1060-5. doi: 10.1177/0284185117744227.
    » https://doi.org/10.1177/0284185117744227
  • 147 Fihn SD, Gardin JM, Abrams J, Berra K, Blankenship JC, Dallas AP, et al. 2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the Diagnosis and Management of Patients with Stable Ischemic Heart Disease: A Report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines, and the American College of Physicians, American Association for Thoracic Surgery, Preventive Cardiovascular Nurses Association, Society for Cardiovascular Angiography and Interventions, and Society of Thoracic Surgeons. J Am Coll Cardiol. 2012;60(24):e44-e164. doi: 10.1016/j.jacc.2012.07.013.
    » https://doi.org/10.1016/j.jacc.2012.07.013
  • 148 Dai T, Wang JR, Hu PF. Diagnostic Performance of Computed Tomography Angiography in the Detection of Coronary Artery in-Stent Restenosis: Evidence from an Updated Meta-Analysis. Eur Radiol. 2018;28(4):1373-82. doi: 10.1007/s00330-017-5097-0.
    » https://doi.org/10.1007/s00330-017-5097-0
  • 149 Magalhães TA, Cury RC, Pereira AC, Moreira Vde M, Lemos PA, Kalil-Filho R, et al. Additional value of Dipyridamole Stress Myocardial Perfusion by 64-Row Computed Tomography in Patients with Coronary Stents. J Cardiovasc Comput Tomogr. 2011;5(6):449-58. doi: 10.1016/j.jcct.2011.10.013.
    » https://doi.org/10.1016/j.jcct.2011.10.013
  • 150 Barbero U, Iannaccone M, d'Ascenzo F, Barbero C, Mohamed A, Annone U, et al. 64 Slice-Coronary Computed Tomography Sensitivity and Specificity in the Evaluation of Coronary Artery Bypass Graft Stenosis: A Meta-Analysis. Int J Cardiol. 2016;216:52-7. doi: 10.1016/j.ijcard.2016.04.156.
    » https://doi.org/10.1016/j.ijcard.2016.04.156
  • 151 Mushtaq S, Conte E, Pontone G, Pompilio G, Guglielmo M, Annoni A, et al. Interpretability of Coronary CT Angiography Performed with a Novel Whole-Heart Coverage High-Definition CT Scanner in 300 Consecutive Patients with Coronary Artery Bypass Grafts. J Cardiovasc Comput Tomogr. 2020;14(2):137-43. doi: 10.1016/j.jcct.2019.08.004.
    » https://doi.org/10.1016/j.jcct.2019.08.004
  • 152 Weustink AC, Nieman K, Pugliese F, Mollet NR, Meijboom WB, van Mieghem C, et al. Diagnostic Accuracy of Computed Tomography Angiography in Patients after Bypass Grafting: Comparison with Invasive Coronary Angiography. JACC Cardiovasc Imaging. 2009;2(7):816-24. doi: 10.1016/j.jcmg.2009.02.010.
    » https://doi.org/10.1016/j.jcmg.2009.02.010
  • 153 Mushtaq S, Andreini D, Pontone G, Bertella E, Bartorelli AL, Conte E, et al. Prognostic Value of Coronary CTA in Coronary Bypass Patients: A Long-Term Follow-Up Study. JACC Cardiovasc Imaging. 2014;7(6):580-9. doi: 10.1016/j.jcmg.2014.04.003.
    » https://doi.org/10.1016/j.jcmg.2014.04.003
  • 154 Ropers D, Pohle FK, Kuettner A, Pflederer T, Anders K, Daniel WG, et al. Diagnostic Accuracy of Noninvasive Coronary Angiography in Patients after Bypass Surgery Using 64-slice Spiral Computed Tomography with 330-ms Gantry Rotation. Circulation. 2006;114(22):2334-41; quiz 2334. doi: 10.1161/CIRCULATIONAHA.106.631051.
    » https://doi.org/10.1161/CIRCULATIONAHA.106.631051
  • 155 Chow BJ, Ahmed O, Small G, Alghamdi AA, Yam Y, Chen L, et al. Prognostic Value of CT Angiography in Coronary Bypass Patients. JACC Cardiovasc Imaging. 2011;4(5):496-502. doi: 10.1016/j.jcmg.2011.01.015.
    » https://doi.org/10.1016/j.jcmg.2011.01.015
  • 156 Pugliese F, Weustink AC, Van Mieghem C, Alberghina F, Otsuka M, Meijboom WB, et al. Dual Source Coronary Computed Tomography Angiography for Detecting In-stent Restenosis. Heart. 2008;94(7):848-54. doi: 10.1136/hrt.2007.126474.
    » https://doi.org/10.1136/hrt.2007.126474
  • 157 Carrabba N, Schuijf JD, de Graaf FR, Parodi G, Maffei E, Valenti R, et al. Diagnostic Accuracy of 64-Slice Computed Tomography Coronary Angiography for the Detection of In-stent Restenosis: A Meta-Analysis. J Nucl Cardiol. 2010;17(3):470-8. doi: 10.1007/s12350-010-9218-2.
    » https://doi.org/10.1007/s12350-010-9218-2
  • 158 Abdelrahman KM, Chen MY, Dey AK, Virmani R, Finn AV, Khamis RY, et al. Coronary Computed Tomography Angiography from Clinical Uses to Emerging Technologies: JACC State-of-the-Art Review. J Am Coll Cardiol. 2020;76(10):1226-43. doi: 10.1016/j.jacc.2020.06.076.
    » https://doi.org/10.1016/j.jacc.2020.06.076
  • 159 Miller JM, Dewey M, Vavere AL, Rochitte CE, Niinuma H, Arbab-Zadeh A, et al. Coronary CT Angiography Using 64 Detector Rows: Methods and Design of the Multi-centre trial CORE-64. Eur Radiol. 2009;19(4):816-28. doi: 10.1007/s00330-008-1203-7.
    » https://doi.org/10.1007/s00330-008-1203-7
  • 160 Serruys PW, Hara H, Garg S, Kawashima H, Nørgaard BL, Dweck MR, et al. Coronary Computed Tomographic Angiography for Complete Assessment of Coronary Artery Disease: JACC State-of-the-Art Review. J Am Coll Cardiol. 2021;78(7):713-36. doi: 10.1016/j.jacc.2021.06.019.
    » https://doi.org/10.1016/j.jacc.2021.06.019
  • 161 Maron DJ, Hochman JS, Reynolds HR, Bangalore S, O'Brien SM, Boden WE, et al. Initial Invasive or Conservative Strategy for Stable Coronary Disease. N Engl J Med. 2020;382(15):1395-407. doi: 10.1056/NEJMoa1915922.
    » https://doi.org/10.1056/NEJMoa1915922
  • 162 Andreini D, Pontone G, Mushtaq S, Conte E, Perchinunno M, Guglielmo M, et al. Atrial Fibrillation: Diagnostic Accuracy of Coronary CT Angiography Performed with a Whole-heart 230-μm Spatial Resolution CT Scanner. Radiology. 2017;284(3):676-84. doi: 10.1148/radiol.2017161779.
    » https://doi.org/10.1148/radiol.2017161779
  • 163 Moss AJ, Williams MC, Newby DE, Nicol ED. The Updated NICE Guidelines: Cardiac CT as the First-line Test for Coronary Artery Disease. Curr Cardiovasc Imaging Rep. 2017;10(5):15. doi: 10.1007/s12410-017-9412-6.
    » https://doi.org/10.1007/s12410-017-9412-6
  • 164 Zhuang B, Wang S, Zhao S, Lu M. Computed Tomography Angiography-derived Fractional Flow Reserve (CT-FFR) for the Detection of Myocardial Ischemia with Invasive Fractional Flow Reserve as Reference: Systematic Review and Meta-analysis. Eur Radiol. 2020;30(2):712-25. doi: 10.1007/s00330-019-06470-8.
    » https://doi.org/10.1007/s00330-019-06470-8
  • 165 Douglas PS, De Bruyne B, Pontone G, Patel MR, Norgaard BL, Byrne RA, et al. 1-Year Outcomes of FFRCT-Guided Care in Patients with Suspected Coronary Disease: The PLATFORM Study. J Am Coll Cardiol. 2016;68(5):435-45. doi: 10.1016/j.jacc.2016.05.057.
    » https://doi.org/10.1016/j.jacc.2016.05.057
  • 166 Al-Lamee R, Thompson D, Dehbi HM, Sen S, Tang K, Davies J,et al. Percutaneous Coronary Intervention in Stable Angina (ORBITA): A Double-Blind, Randomised Controlled Trial. Lancet. 2018;391(10115):31-40. doi: 10.1016/S0140-6736(17)32714-9.
    » https://doi.org/10.1016/S0140-6736(17)32714-9
  • 167 Andreini D, Modolo R, Katagiri Y, Mushtaq S, Sonck J, Collet C, et al. Impact of Fractional Flow Reserve Derived from Coronary Computed Tomography Angiography on Heart Team Treatment Decision-making in Patients with Multivessel Coronary Artery Disease: Insights from the SYNTAX III REVOLUTION Trial. Circ Cardiovasc Interv. 2019;12(12):e007607. doi: 10.1161/CIRCINTERVENTIONS.118.007607.
    » https://doi.org/10.1161/CIRCINTERVENTIONS.118.007607
  • 168 Yamamuro M, Tadamura E, Kubo S, Toyoda H, Nishina T, Ohba M, et al. Cardiac Functional Analysis with Multi-Detector Row CT and Segmental Reconstruction Algorithm: Comparison with Echocardiography, SPECT, and MR Imaging. Radiology. 2005;234(2):381-90. doi: 10.1148/radiol.2342031271.
    » https://doi.org/10.1148/radiol.2342031271
  • 169 Gerber BL, Belge B, Legros GJ, Lim P, Poncelet A, Pasquet A, et al. Characterization of Acute and Chronic Myocardial Infarcts by Multidetector Computed Tomography: Comparison with Contrast-enhanced Magnetic Resonance. Circulation. 2006;113(6):823-33. doi: 10.1161/CIRCULATIONAHA.104.529511.
    » https://doi.org/10.1161/CIRCULATIONAHA.104.529511
  • 170 Nieman K, Shapiro MD, Ferencik M, Nomura CH, Abbara S, Hoffmann U, et al. Reperfused Myocardial Infarction: Contrast-enhanced 64-Section CT in Comparison to MR Imaging. Radiology. 2008;247(1):49-56. doi: 10.1148/radiol.2471070332.
    » https://doi.org/10.1148/radiol.2471070332
  • 171 Habis M, Capderou A, Ghostine S, Daoud B, Caussin C, Riou JY, et al. Acute Myocardial Infarction Early Viability Assessment by 64-Slice Computed Tomography Immediately after Coronary Angiography: Comparison with Low-dose Dobutamine Echocardiography. J Am Coll Cardiol. 2007;49(11):1178-85. doi: 10.1016/j.jacc.2006.12.032.
    » https://doi.org/10.1016/j.jacc.2006.12.032
  • 172 Lessick J, Dragu R, Mutlak D, Rispler S, Beyar R, Litmanovich D, et al. Is Functional Improvement after Myocardial Infarction Predicted with Myocardial Enhancement Patterns at Multidetector CT? Radiology. 2007;244(3):736-44. doi: 10.1148/radiol.2443061397.
    » https://doi.org/10.1148/radiol.2443061397
  • 173 Costanzo MR, Dipchand A, Starling R, Anderson A, Chan M, Desai S, et al. The International Society of Heart and Lung Transplantation Guidelines for the care of Heart Transplant Recipients. J Heart Lung Transplant. 2010;29(8):914-56. doi: 10.1016/j.healun.2010.05.034.
    » https://doi.org/10.1016/j.healun.2010.05.034
  • 174 Wever-Pinzon O, Romero J, Kelesidis I, Wever-Pinzon J, Manrique C, Budge D, et al. Coronary Computed Tomography Angiography for the Detection of Cardiac Allograft Vasculopathy: A Meta-analysis of Prospective Trials. J Am Coll Cardiol. 2014;63(19):1992-2004. doi: 10.1016/j.jacc.2014.01.071.
    » https://doi.org/10.1016/j.jacc.2014.01.071
  • 175 Mazine A, Fernandes IM, Haller C, Hickey EJ. Anomalous Origins of the Coronary Arteries: Current Knowledge and Future Perspectives. Curr Opin Cardiol. 2019;34(5):543-51. doi: 10.1097/HCO.0000000000000663.
    » https://doi.org/10.1097/HCO.0000000000000663
  • 176 Frommelt P, Lopez L, Dimas VV, Eidem B, Han BK, Ko HH, et al. Recommendations for Multimodality Assessment of Congenital Coronary Anomalies: A Guide from the American Society of Echocardiography: Developed in Collaboration with the Society for Cardiovascular Angiography and Interventions, Japanese Society of Echocardiography, and Society for Cardiovascular Magnetic Resonance. J Am Soc Echocardiogr. 2020;33(3):259-94. doi: 10.1016/j.echo.2019.10.011.
    » https://doi.org/10.1016/j.echo.2019.10.011
  • 177 Molossi S, Agrawal H, Mery CM, Krishnamurthy R, Masand P, Sexson Tejtel SK, et al. Outcomes in Anomalous Aortic Origin of a Coronary Artery Following a Prospective Standardized Approach. Circ Cardiovasc Interv. 2020;13(2):e008445. doi: 10.1161/CIRCINTERVENTIONS.119.008445.
    » https://doi.org/10.1161/CIRCINTERVENTIONS.119.008445
  • 178 Brothers JA, Frommelt MA, Jaquiss RDB, Myerburg RJ, Fraser CD Jr, Tweddell JS. Expert Consensus Guidelines: Anomalous Aortic Origin of a Coronary Artery. J Thorac Cardiovasc Surg. 2017;153(6):1440-57. doi: 10.1016/j.jtcvs.2016.06.066.
    » https://doi.org/10.1016/j.jtcvs.2016.06.066
  • 179 Agrawal H, Mery CM, Day PE, Tejtel SKS, McKenzie ED, Fraser CD Jr, et al. Current Practices are Variable in the Evaluation and Management of Patients with Anomalous Aortic Origin of a Coronary Artery: Results of a Survey. Congenit Heart Dis. 2017;12(5):610-4. doi: 10.1111/chd.12511.
    » https://doi.org/10.1111/chd.12511
  • 180 Cheezum MK, Ghoshhajra B, Bittencourt MS, Hulten EA, Bhatt A, Mousavi N, et al. Anomalous Origin of the Coronary Artery Arising from the Opposite Sinus: Prevalence and Outcomes in Patients Undergoing Coronary CTA. Eur Heart J Cardiovasc Imaging. 2017;18(2):224-35. doi: 10.1093/ehjci/jev323.
    » https://doi.org/10.1093/ehjci/jev323
  • 181 Graidis C, Dimitriadis D, Karasavvidis V, Dimitriadis G, Argyropoulou E, Economou F, et al. Prevalence and Characteristics of Coronary Artery Anomalies in an Adult Population Undergoing Multidetector-row Computed Tomography for the Evaluation of Coronary Artery Disease. BMC Cardiovasc Disord. 2015;15:112. doi: 10.1186/s12872-015-0098-x.
    » https://doi.org/10.1186/s12872-015-0098-x
  • 182 Shriki JE, Shinbane JS, Rashid MA, Hindoyan A, Withey JG, DeFrance A, et al. Identifying, Characterizing, and Classifying Congenital Anomalies of the Coronary Arteries. Radiographics. 2012;32(2):453-68. doi: 10.1148/rg.322115097.
    » https://doi.org/10.1148/rg.322115097
  • 183 Farooqi KM, Nees SN, Smerling J, Senapathi SH, Lorenzoni R, Pavlicova M, et al. Assessment of Anomalous Coronary Arteries by Imagers and Surgeons: Comparison of Imaging Modalities. Ann Thorac Surg. 2021;111(2):672-81. doi: 10.1016/j.athoracsur.2020.03.124.
    » https://doi.org/10.1016/j.athoracsur.2020.03.124
  • 184 RöFo Fortschritte Auf dem Gebiet der Röntgenstrahlen und der Bildgebenden Verfahren. Rofo. 2017;189(9):803. doi: 10.1055/s-0043-115872.
    » https://doi.org/10.1055/s-0043-115872
  • 185 Pursnani A, Jacobs JE, Saremi F, Levisman J, Makaryus AN, Capuñay C, et al. Coronary CTA Assessment of Coronary Anomalies. J Cardiovasc Comput Tomogr. 2012;6(1):48-59. doi: 10.1016/j.jcct.2011.06.009.
    » https://doi.org/10.1016/j.jcct.2011.06.009
  • 186 Cheezum MK, Liberthson RR, Shah NR, Villines TC, O'Gara PT, Landzberg MJ, et al. Anomalous Aortic Origin of a Coronary Artery from the Inappropriate Sinus of Valsalva. J Am Coll Cardiol. 2017;69(12):1592-608. doi: 10.1016/j.jacc.2017.01.031.
    » https://doi.org/10.1016/j.jacc.2017.01.031
  • 187 Pandey NN, Sinha M, Sharma A, Rajagopal R, Bhambri K, Kumar S. Anomalies of Coronary Artery Origin: Evaluation on Multidetector CT Angiography. Clin Imaging. 2019;57:87-98. doi: 10.1016/j.clinimag.2019.05.010.
    » https://doi.org/10.1016/j.clinimag.2019.05.010
  • 188 Alderwish E, Schultz E, Kassam Z, Poon M, Coplan N. Evaluation of Acute Chest Pain: Evolving Paradigm of Coronary risk Scores and Imaging. Rev Cardiovasc Med. 2019;20(4):231-44. doi: 10.31083/j.rcm.2019.04.589.
    » https://doi.org/10.31083/j.rcm.2019.04.589
  • 189 Garcia MJ, Lessick J, Hoffmann MH; CATSCAN Study Investigators. Accuracy of 16-Row Multidetector Computed Tomography for the Assessment of Coronary Artery Stenosis. JAMA. 2006;296(4):403-11. doi: 10.1001/jama.296.4.403.
    » https://doi.org/10.1001/jama.296.4.403
  • 190 Marano R, De Cobelli F, Floriani I, Becker C, Herzog C, Centonze M, et al. Italian Multicenter, Prospective Study to Evaluate the Negative Predictive Value of 16- and 64-Slice MDCT Imaging in Patients Scheduled for Coronary Angiography (NIMISCAD-Non Invasive Multicenter Italian Study for Coronary Artery Disease). Eur Radiol. 2009;19(5):1114-23. doi: 10.1007/s00330-008-1239-8.
    » https://doi.org/10.1007/s00330-008-1239-8
  • 191 Siontis GC, Mavridis D, Greenwood JP, Coles B, Nikolakopoulou A, Jüni P, et al. Outcomes of Non-invasive Diagnostic Modalities for the Detection of Coronary Artery Disease: Network Meta-analysis of Diagnostic Randomised Controlled Trials. BMJ. 2018;360:k504. doi: 10.1136/bmj.k504.
    » https://doi.org/10.1136/bmj.k504
  • 192 Goldstein JA, Chinnaiyan KM, Abidov A, Achenbach S, Berman DS, Hayes SW, et al. The CT-STAT (Coronary Computed Tomographic Angiography for Systematic Triage of Acute Chest Pain Patients to Treatment) Trial. J Am Coll Cardiol. 2011;58(14):1414-22. doi: 10.1016/j.jacc.2011.03.068.
    » https://doi.org/10.1016/j.jacc.2011.03.068
  • 193 Litt HI, Gatsonis C, Snyder B, Singh H, Miller CD, Entrikin DW, et al. CT Angiography for Safe Discharge of Patients with Possible Acute Coronary Syndromes. N Engl J Med. 2012;366(15):1393-403. doi: 10.1056/NEJMoa1201163.
    » https://doi.org/10.1056/NEJMoa1201163
  • 194 Hoffmann U, Truong QA, Schoenfeld DA, Chou ET, Woodard PK, Nagurney JT, et al. Coronary CT Angiography versus Standard Evaluation in Acute Chest Pain. N Engl J Med. 2012;367(4):299-308. doi: 10.1056/NEJMoa1201161.
    » https://doi.org/10.1056/NEJMoa1201161
  • 195 Gray AJ, Roobottom C, Smith JE, Goodacre S, Oatey K, O'Brien R, et al. The RAPID-CTCA Trial (Rapid Assessment of Potential Ischaemic Heart Disease with CTCA) - A Multicentre Parallel-group Randomised Trial to Compare Early Computerised Tomography Coronary Angiography versus Standard Care in Patients Presenting with Suspected or Confirmed Acute Coronary Syndrome: Study Protocol for a Randomised Controlled Trial. Trials. 2016;17(1):579. doi: 10.1186/s13063-016-1717-2.
    » https://doi.org/10.1186/s13063-016-1717-2
  • 196 Dedic A, Lubbers MM, Schaap J, Lammers J, Lamfers EJ, Rensing BJ, et al. Coronary CT Angiography for Suspected ACS in the Era of High-Sensitivity Troponins: Randomized Multicenter Study. J Am Coll Cardiol. 2016;67(1):16-26. doi: 10.1016/j.jacc.2015.10.045.
    » https://doi.org/10.1016/j.jacc.2015.10.045
  • 197 Smulders MW, Kietselaer BLJH, Wildberger JE, Dagnelie PC, La Rocca HPB, Mingels AMA, et al. Initial Imaging-Guided Strategy versus Routine Care in Patients with Non-ST-Segment Elevation Myocardial Infarction. J Am Coll Cardiol. 2019;74(20):2466-77. doi: 10.1016/j.jacc.2019.09.027.
    » https://doi.org/10.1016/j.jacc.2019.09.027
  • 198 Sara L, Rochitte CE, Lemos PA, Niinuma H, Dewey M, Shapiro EP, et al. Accuracy of Multidetector Computed Tomography for Detection of Coronary Artery Stenosis in Acute Coronary Syndrome Compared with Stable Coronary Disease: A CORE64 Multicenter Trial Substudy. Int J Cardiol. 2014;177(2):385-91. doi: 10.1016/j.ijcard.2014.08.130.
    » https://doi.org/10.1016/j.ijcard.2014.08.130
  • 199 White CS, Kuo D, Kelemen M, Jain V, Musk A, Zaidi E, et al. Chest Pain Evaluation in the Emergency Department: Can MDCT Provide a Comprehensive Evaluation? AJR Am J Roentgenol. 2005;185(2):533-40. doi: 10.2214/ajr.185.2.01850533.
    » https://doi.org/10.2214/ajr.185.2.01850533
  • 200 Vrachliotis TG, Bis KG, Haidary A, Kosuri R, Balasubramaniam M, Gallagher M, et al. Atypical Chest Pain: Coronary, Aortic, and Pulmonary Vasculature Enhancement at Biphasic Single-Injection 64-Section CT Angiography. Radiology. 2007;243(2):368-76. doi: 10.1148/radiol.2432060447.
    » https://doi.org/10.1148/radiol.2432060447
  • 201 Dodd JD, Kalva S, Pena A, Bamberg F, Shapiro MD, Abbara S, et al. Emergency Cardiac CT for Suspected Acute Coronary Syndrome: Qualitative and Quantitative Assessment of Coronary, Pulmonary, and Aortic Image Quality. AJR Am J Roentgenol. 2008;191(3):870-7. doi: 10.2214/AJR.07.3387.
    » https://doi.org/10.2214/AJR.07.3387
  • 202 Litmanovich D, Zamboni GA, Hauser TH, Lin PJ, Clouse ME, Raptopoulos V. ECG-gated Chest CT Angiography with 64-MDCT and Tri-phasic IV Contrast Administration Regimen in Patients with Acute Non-specific Chest Pain. Eur Radiol. 2008;18(2):308-17. doi: 10.1007/s00330-007-0739-2.
    » https://doi.org/10.1007/s00330-007-0739-2
  • 203 Takakuwa KM, Halpern EJ. Evaluation of a "Triple Rule-out" Coronary CT Angiography Protocol: Use of 64-Section CT in Low-to-moderate Risk Emergency Department Patients Suspected of Having Acute Coronary Syndrome. Radiology. 2008;248(2):438-46. doi: 10.1148/radiol.2482072169.
    » https://doi.org/10.1148/radiol.2482072169
  • 204 Lee HY, Yoo SM, White CS. Coronary CT Angiography in Emergency Department Patients with Acute Chest Pain: Triple Rule-out Protocol versus Dedicated Coronary CT Angiography. Int J Cardiovasc Imaging. 2009;25(3):319-26. doi: 10.1007/s10554-008-9375-4.
    » https://doi.org/10.1007/s10554-008-9375-4
  • 205 Nicolau JC, Feitosa Filho GS, Petriz JL, Furtado RHM, Précoma DB, Lemke W, et al. Brazilian Society of Cardiology Guidelines on Unstable Angina and Acute Myocardial Infarction without ST-segment Elevation - 2021. Arq Bras Cardiol. 2021;117(1):181-264. doi: 10.36660/abc.20210180.
    » https://doi.org/10.36660/abc.20210180
  • 206 Halpern EJ. Triple-rule-out CT Angiography for Evaluation of Acute Chest Pain and Possible Acute Coronary Syndrome. Radiology. 2009;252(2):332-45. doi: 10.1148/radiol.2522082335.
    » https://doi.org/10.1148/radiol.2522082335
  • 207 Gualandro DM, Yu PC, Caramelli B, Marques AC, Calderaro D, Fornari LS, et al. 3rd Guideline for Perioperative Cardiovascular Evaluation of the Brazilian Society of Cardiology. Arq Bras Cardiol. 2017;109(3 Supl 1):1-104. doi: 10.5935/abc.20170140.
    » https://doi.org/10.5935/abc.20170140
  • 208 Fleisher LA, Fleischmann KE, Auerbach AD, Barnason SA, Beckman JA, Bozkurt B, et al. 2014 ACC/AHA Guideline on Perioperative Cardiovascular Evaluation and Management of Patients Undergoing Noncardiac Surgery: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation. 2014;130(24):e278-333. doi: 10.1161/CIR.0000000000000106.
    » https://doi.org/10.1161/CIR.0000000000000106
  • 209 De Hert S, Staender S, Fritsch G, Hinkelbein J, Afshari A, Bettelli G, et al. Pre-operative Evaluation of Adults Undergoing Elective Noncardiac Surgery: Updated Guideline from the European Society of Anaesthesiology. Eur J Anaesthesiol. 2018;35(6):407-65. doi: 10.1097/EJA.0000000000000817.
    » https://doi.org/10.1097/EJA.0000000000000817
  • 210 Kristensen SD, Knuuti J, Saraste A, Anker S, Bøtker HE, Hert SD, et al. 2014 ESC/ESA Guidelines on Non-cardiac Surgery: Cardiovascular Assessment and Management: The JOINT Task Force on Non-cardiac Surgery: Cardiovascular Assessment and Management of the European Society of Cardiology (ESC) and the European Society of Anaesthesiology (ESA). Eur Heart J. 2014 Sep 14;35(35):2383-431. doi: 10.1093/eurheartj/ehu282.
    » https://doi.org/10.1093/eurheartj/ehu282
  • 211 Kawashima H, Pompilio G, Andreini D, Bartorelli AL, Mushtaq S, Ferrari E, et al. Safety and Feasibility Evaluation of Planning and Execution of Surgical Revascularisation Solely Based on Coronary CTA and FFRCT in Patients with Complex Coronary Artery Disease: Study Protocol of the FASTTRACK CABG Study. BMJ Open. 2020;10(12):e038152. doi: 10.1136/bmjopen-2020-038152.
    » https://doi.org/10.1136/bmjopen-2020-038152
  • 212 Tarasoutchi F, Montera MW, Ramos AIO, Sampaio RO, Rosa VEE, Accorsi TAD, et al. Update of the Brazilian Guidelines for Valvular Heart Disease - 2020. Arq Bras Cardiol. 2020;115(4):720-75. doi: 10.36660/abc.20201047.
    » https://doi.org/10.36660/abc.20201047
  • 213 Ahn JH, Park JR, Min JH, Sohn JT, Hwang SJ, Park Y, et al. Risk Stratification Using Computed Tomography Coronary Angiography in Patients Undergoing Intermediate-risk Noncardiac Surgery. J Am Coll Cardiol. 2013;61(6):661-8. doi: 10.1016/j.jacc.2012.09.060.
    » https://doi.org/10.1016/j.jacc.2012.09.060
  • 214 Hwang JW, Kim EK, Yang JH, Chang SA, Song YB, Hahn JY, et al. Assessment of Perioperative Cardiac Risk of Patients Undergoing Noncardiac Surgery Using Coronary Computed Tomographic Angiography. Circ Cardiovasc Imaging. 2015;8(3):e002582. doi: 10.1161/CIRCIMAGING.114.002582.
    » https://doi.org/10.1161/CIRCIMAGING.114.002582
  • 215 Koshy AN, Ha FJ, Gow PJ, Han HC, Amirul-Islam FM, Lim HS, et al. Computed Tomographic Coronary Angiography in Risk Stratification Prior to Non-cardiac Surgery: A Systematic Review and Meta-analysis. Heart. 2019;105(17):1335-42. doi: 10.1136/heartjnl-2018-314649.
    » https://doi.org/10.1136/heartjnl-2018-314649
  • 216 Russo V, Gostoli V, Lovato L, Montalti M, Marzocchi A, Gavelli G, et al. Clinical Value of Multidetector CT Coronary Angiography as a Preoperative Screening Test Before Non-coronary Cardiac Surgery. Heart. 2007;93(12):1591-8. doi: 10.1136/hrt.2006.105023.
    » https://doi.org/10.1136/hrt.2006.105023
  • 217 Opolski MP, Staruch AD, Jakubczyk M, Min JK, Gransar H, Staruch M, et al. CT Angiography for the Detection of Coronary Artery Stenoses in Patients Referred for Cardiac Valve Surgery: Systematic Review and Meta-analysis. JACC Cardiovasc Imaging. 2016;9(9):1059-70. doi: 10.1016/j.jcmg.2015.09.028.
    » https://doi.org/10.1016/j.jcmg.2015.09.028
  • 218 van den Boogert TPW, Claessen BEPM, van Randen A, van Schuppen J, Boekholdt SM, Beijk MAM, et al. Implementation of CT Coronary Angiography as an Alternative to Invasive Coronary Angiography in the Diagnostic Work-up of Non-coronary Cardiac Surgery, Cardiomyopathy, Heart Failure and Ventricular Arrhythmias. J Clin Med. 2021;10(11):2374. doi: 10.3390/jcm10112374.
    » https://doi.org/10.3390/jcm10112374
  • 219 Buttan AK, Yang EH, Budoff MJ, Vorobiof G. Evaluation of Valvular Disease by Cardiac Computed Tomography Assessment. J Cardiovasc Comput Tomogr. 2012;6(6):381-92. doi: 10.1016/j.jcct.2012.10.007.
    » https://doi.org/10.1016/j.jcct.2012.10.007
  • 220 Gaztanaga J, Pizarro G, Sanz J. Evaluation of Cardiac Valves Using Multidetector CT. Cardiol Clin. 2009;27(4):633-44. doi: 10.1016/j.ccl.2009.06.010.
    » https://doi.org/10.1016/j.ccl.2009.06.010
  • 221 Chen JJ, Manning MA, Frazier AA, Jeudy J, White CS. CT Angiography of the Cardiac Valves: Normal, Diseased, and Postoperative Appearances. Radiographics. 2009;29(5):1393-412. doi: 10.1148/rg.295095002.
    » https://doi.org/10.1148/rg.295095002
  • 222 Ketelsen D, Fishman EK, Claussen CD, Vogel-Claussen J. Computed Tomography Evaluation of Cardiac Valves: A Review. Radiol Clin North Am. 2010;48(4):783-97. doi: 10.1016/j.rcl.2010.04.007.
    » https://doi.org/10.1016/j.rcl.2010.04.007
  • 223 Chen JJ, Jeudy J, Thorn EM, White CS. Computed Tomography Assessment of Valvular Morphology, Function, and Disease. J Cardiovasc Comput Tomogr. 2009;3(1 Suppl):S47-56. doi: 10.1016/j.jcct.2008.10.017.
    » https://doi.org/10.1016/j.jcct.2008.10.017
  • 224 Manghat NE, Rachapalli V, Van Lingen R, Veitch AM, Roobottom CA, Morgan-Hughes GJ. Imaging the Heart Valves Using ECG-gated 64-Detector Row Cardiac CT. Br J Radiol. 2008;81(964):275-90. doi: 10.1259/bjr/16301537.
    » https://doi.org/10.1259/bjr/16301537
  • 225 LaBounty TM, Agarwal PP, Chughtai A, Bach DS, Wizauer E, Kazerooni EA. Evaluation of Mechanical Heart Valve Size and function with ECG-gated 64-MDCT. AJR Am J Roentgenol. 2009;193(5):W389-96. doi: 10.2214/AJR.08.2178.
    » https://doi.org/10.2214/AJR.08.2178
  • 226 Lindroos M, Kupari M, Heikkilä J, Tilvis R. Prevalence of Aortic Valve Abnormalities in the Elderly: An Echocardiographic Study of a Random Population Sample. J Am Coll Cardiol. 1993;21(5):1220-5. doi: 10.1016/0735-1097(93)90249-z.
    » https://doi.org/10.1016/0735-1097(93)90249-z
  • 227 Leon MB, Smith CR, Mack M, Miller DC, Moses JW, Svensson LG, et al. Transcatheter Aortic-valve Implantation for Aortic Stenosis in Patients who Cannot Undergo Surgery. N Engl J Med. 2010;363(17):1597-607. doi: 10.1056/NEJMoa1008232.
    » https://doi.org/10.1056/NEJMoa1008232
  • 228 Leon MB, Smith CR, Mack MJ, Makkar RR, Svensson LG, Kodali SK, et al. Transcatheter or Surgical Aortic-Valve Replacement in Intermediate-Risk Patients. N Engl J Med. 2016;374(17):1609-20. doi: 10.1056/NEJMoa1514616.
    » https://doi.org/10.1056/NEJMoa1514616
  • 229 Mack MJ, Leon MB, Thourani VH, Makkar R, Kodali SK, Russo M, et al. Transcatheter Aortic-Valve Replacement with a Balloon-Expandable Valve in Low-Risk Patients. N Engl J Med. 2019;380(18):1695-705. doi: 10.1056/NEJMoa1814052.
    » https://doi.org/10.1056/NEJMoa1814052
  • 230 de Brito FS Jr, Carvalho LA, Sarmento-Leite R, Mangione JA, Lemos P, Siciliano A, et al. Outcomes and Predictors of Mortality after Transcatheter Aortic Valve Implantation: Results of the Brazilian Registry. Catheter Cardiovasc Interv. 2015;85(5):E153-62. doi: 10.1002/ccd.25778.
    » https://doi.org/10.1002/ccd.25778
  • 231 Murphy DT, Blanke P, Alaamri S, Naoum C, Rubinshtein R, Pache G, et al. Dynamism of the Aortic Annulus: Effect of Diastolic versus Systolic CT Annular Measurements on Device Selection in Transcatheter Aortic Valve Replacement (TAVR). J Cardiovasc Comput Tomogr. 2016;10(1):37-43. doi: 10.1016/j.jcct.2015.07.008.
    » https://doi.org/10.1016/j.jcct.2015.07.008
  • 232 Kodali SK, Williams MR, Smith CR, Svensson LG, Webb JG, Makkar RR, et al. Two-year Outcomes after Transcatheter or Surgical Aortic-valve Replacement. N Engl J Med. 2012;366(18):1686-95. doi: 10.1056/NEJMoa1200384.
    » https://doi.org/10.1056/NEJMoa1200384
  • 233 Jilaihawi H, Kashif M, Fontana G, Furugen A, Shiota T, Friede G, et al. Cross-sectional Computed Tomographic Assessment Improves Accuracy of Aortic Annular Sizing for Transcatheter Aortic Valve Replacement and Reduces the Incidence of Paravalvular Aortic Regurgitation. J Am Coll Cardiol. 2012;59(14):1275-86. doi: 10.1016/j.jacc.2011.11.045.
    » https://doi.org/10.1016/j.jacc.2011.11.045
  • 234 Ribeiro HB, Webb JG, Makkar RR, Cohen MG, Kapadia SR, Kodali S, et al. Predictive Factors, Management, and Clinical Outcomes of Coronary Obstruction Following Transcatheter Aortic Valve Implantation: Insights from a Large Multicenter Registry. J Am Coll Cardiol. 2013;62(17):1552-62. doi: 10.1016/j.jacc.2013.07.040.
    » https://doi.org/10.1016/j.jacc.2013.07.040
  • 235 Blanke P, Soon J, Dvir D, Park JK, Naoum C, Kueh SH, et al Wood. Computed Tomography Assessment for Transcatheter Aortic Valve in Valve Implantation: The Vancouver Approach to Predict Anatomical Risk for Coronary Obstruction and Other Considerations. J Cardiovasc Comput Tomogr. 2016;10(6):491-9. doi: 10.1016/j.jcct.2016.09.004.
    » https://doi.org/10.1016/j.jcct.2016.09.004
  • 236 Barbanti M, Yang TH, Cabau JR, Tamburino C, Wood DA, Jilaihawi H, et al. Anatomical and Procedural Features Associated with Aortic Root Rupture During Balloon-expandable Transcatheter Aortic Valve Replacement. Circulation. 2013;128(3):244-53. doi: 10.1161/CIRCULATIONAHA.113.002947.
    » https://doi.org/10.1161/CIRCULATIONAHA.113.002947
  • 237 Opolski MP, Kim WK, Liebetrau C, Walther C, Blumenstein J, Gaede L, et al. Diagnostic Accuracy of Computed Tomography Angiography for the Detection of Coronary Artery Disease in Patients Referred for Transcatheter Aortic Valve Implantation. Clin Res Cardiol. 2015;104(6):471-80. doi: 10.1007/s00392-014-0806-z.
    » https://doi.org/10.1007/s00392-014-0806-z
  • 238 Kurra V, Schoenhagen P, Roselli EE, Kapadia SR, Tuzcu EM, Greenberg R, et al. Prevalence of Significant Peripheral Artery Disease in Patients Evaluated for Percutaneous Aortic Valve Insertion: Preprocedural Assessment with Multidetector Computed Tomography. J Thorac Cardiovasc Surg. 2009;137(5):1258-64. doi: 10.1016/j.jtcvs.2008.12.013.
    » https://doi.org/10.1016/j.jtcvs.2008.12.013
  • 239 Okuyama K, Jilaihawi H, Kashif M, Takahashi N, Chakravarty T, Pokhrel H, et al. Transfemoral Access Assessment for Transcatheter Aortic Valve Replacement: Evidence-based Application of Computed Tomography Over Invasive Angiography. Circ Cardiovasc Imaging. 2014;8(1):e001995. doi: 10.1161/CIRCIMAGING.114.001995.
    » https://doi.org/10.1161/CIRCIMAGING.114.001995
  • 240 Achenbach S, Delgado V, Hausleiter J, Schoenhagen P, Min JK, Leipsic JA. SCCT Expert Consensus Document on Computed Tomography Imaging Before Transcatheter Aortic Valve Implantation (TAVI)/Transcatheter Aortic Valve Replacement (TAVR). J Cardiovasc Comput Tomogr. 2012;6(6):366-80. doi: 10.1016/j.jcct.2012.11.002.
    » https://doi.org/10.1016/j.jcct.2012.11.002
  • 241 Otto CM, Kumbhani DJ, Alexander KP, Calhoon JH, Desai MY, Kaul S, et al. 2017 ACC Expert Consensus Decision Pathway for Transcatheter Aortic Valve Replacement in the Management of Adults with Aortic Stenosis: A Report of the American College of Cardiology Task Force on Clinical Expert Consensus Documents. J Am Coll Cardiol. 2017;69(10):1313-46. doi: 10.1016/j.jacc.2016.12.006.
    » https://doi.org/10.1016/j.jacc.2016.12.006
  • 242 Binder RK, Webb JG, Willson AB, Urena M, Hansson NC, Norgaard BL, et al. The Impact of Integration of a Multidetector Computed Tomography Annulus Area Sizing Algorithm on Outcomes of Transcatheter Aortic Valve Replacement: A Prospective, Multicenter, Controlled Trial. J Am Coll Cardiol. 2013;62(5):431-8. doi: 10.1016/j.jacc.2013.04.036.
    » https://doi.org/10.1016/j.jacc.2013.04.036
  • 243 Toggweiler S, Gurvitch R, Leipsic J, Wood DA, Willson AB, Binder RK, et al. Percutaneous Aortic Valve Replacement: Vascular Outcomes with a Fully Percutaneous Procedure. J Am Coll Cardiol. 2012;59(2):113-8. doi: 10.1016/j.jacc.2011.08.069.
    » https://doi.org/10.1016/j.jacc.2011.08.069
  • 244 Suchá D, Daans CG, Symersky P, Planken RN, Mali WP, van Herwerden LA, et al. Reliability, Agreement, and Presentation of a Reference Standard for Assessing Implanted Heart Valve Sizes by Multidetector-Row Computed Tomography. Am J Cardiol. 2015;116(1):112-20. doi: 10.1016/j.amjcard.2015.03.048.
    » https://doi.org/10.1016/j.amjcard.2015.03.048
  • 245 Bernardi FLM, Dvir D, Rodes-Cabau J, Ribeiro HB. Valve-in-valve Challenges: How to Avoid Coronary Obstruction. Front Cardiovasc Med. 2019;6:120. doi: 10.3389/fcvm.2019.00120.
    » https://doi.org/10.3389/fcvm.2019.00120
  • 246 Dvir D, Leipsic J, Blanke P, Ribeiro HB, Kornowski R, Pichard A, et al. Coronary Obstruction in Transcatheter Aortic Valve-in-valve Implantation: Preprocedural Evaluation, Device Selection, Protection, and Treatment. Circ Cardiovasc Interv. 2015;8(1):e002079. doi: 10.1161/CIRCINTERVENTIONS.114.002079.
    » https://doi.org/10.1161/CIRCINTERVENTIONS.114.002079
  • 247 Shah RG, Novaro GM, Blandon RJ, Whiteman MS, Asher CR, Kirsch J. Aortic Valve Area: Meta-analysis of Diagnostic Performance of Multi-detector Computed Tomography for Aortic Valve Area Measurements as Compared to Transthoracic Echocardiography. Int J Cardiovasc Imaging. 2009;25(6):601-9. doi: 10.1007/s10554-009-9464-z.
    » https://doi.org/10.1007/s10554-009-9464-z
  • 248 Leborgne L, Choplin Y, Renard C, Claeys M, Levy F, Jarry G, et al. Quantification of Aortic Valve Area with ECG-gated Multi-detector Spiral Computed Tomography in Patients with Aortic Stenosis and Comparison of Two Image Analysis Methods. Int J Cardiol. 2009;135(2):266-9. doi: 10.1016/j.ijcard.2008.03.095.
    » https://doi.org/10.1016/j.ijcard.2008.03.095
  • 249 Feuchtner GM, Müller S, Bonatti J, Schachner T, Velik-Salchner C, Pachinger O, et al. Sixty-four Slice CT Evaluation of Aortic Stenosis Using Planimetry of the Aortic Valve Area. AJR Am J Roentgenol. 2007;189(1):197-203. doi: 10.2214/AJR.07.2069.
    » https://doi.org/10.2214/AJR.07.2069
  • 250 Abdulla J, Sivertsen J, Kofoed KF, Alkadhi H, LaBounty T, Abildstrom SZ, et al. Evaluation of Aortic Valve Stenosis by Cardiac Multislice Computed Tomography Compared with Echocardiography: A Systematic Review and Meta-Analysis. J Heart Valve Dis. 2009;18(6):634-43.
  • 251 Vahanian A, Beyersdorf F, Praz F, Milojevic M, Baldus S, Bauersachs J, et al. 2021 ESC/EACTS Guidelines for the Management of Valvular Heart Disease. Eur Heart J. 2022;43(7):561-632. doi: 10.1093/eurheartj/ehab395.
    » https://doi.org/10.1093/eurheartj/ehab395
  • 252 Clavel MA, Messika-Zeitoun D, Pibarot P, Aggarwal SR, Malouf J, Araoz PA, et al. The Complex Nature of Discordant Severe Calcified Aortic Valve Disease Grading: New Insights from Combined Doppler Echocardiographic and Computed Tomographic Study. J Am Coll Cardiol. 2013;62(24):2329-38. doi: 10.1016/j.jacc.2013.08.1621.
    » https://doi.org/10.1016/j.jacc.2013.08.1621
  • 253 Pawade T, Clavel MA, Tribouilloy C, Dreyfus J, Mathieu T, Tastet L, et al. Computed Tomography Aortic Valve Calcium Scoring in Patients with Aortic Stenosis. Circ Cardiovasc Imaging. 2018;11(3):e007146. doi: 10.1161/CIRCIMAGING.117.007146.
    » https://doi.org/10.1161/CIRCIMAGING.117.007146
  • 254 Makkar RR, Fontana G, Jilaihawi H, Chakravarty T, Kofoed KF, De Backer O, et al. Possible Subclinical Leaflet Thrombosis in Bioprosthetic Aortic Valves. N Engl J Med. 2015;373(21):2015-24. doi: 10.1056/NEJMoa1509233.
    » https://doi.org/10.1056/NEJMoa1509233
  • 255 Marwan M, Mekkhala N, Göller M, Röther J, Bittner D, Schuhbaeck A, et al. Leaflet Thrombosis Following Transcatheter Aortic Valve Implantation. J Cardiovasc Comput Tomogr. 2018;12(1):8-13. doi: 10.1016/j.jcct.2017.11.002.
    » https://doi.org/10.1016/j.jcct.2017.11.002
  • 256 Andreini D, Pontone G, Mushtaq S, Bartorelli AL, Ballerini G, Bertella E, et al. Diagnostic Accuracy of Multidetector Computed Tomography Coronary Angiography in 325 Consecutive Patients Referred for Transcatheter Aortic Valve Replacement. Am Heart J. 2014;168(3):332-9. doi: 10.1016/j.ahj.2014.04.022.
    » https://doi.org/10.1016/j.ahj.2014.04.022
  • 257 Gatti M, Gallone G, Poggi V, Bruno F, Serafini A, Depaoli A, et al. Diagnostic Accuracy of Coronary Computed Tomography Angiography for the Evaluation of Obstructive Coronary Artery Disease in Patients Referred for Transcatheter Aortic Valve Implantation: A Systematic Review and Meta-Analysis. Eur Radiol. 2022;32(8):5189-200. doi: 10.1007/s00330-022-08603-y.
    » https://doi.org/10.1007/s00330-022-08603-y
  • 258 Heiser L, Gohmann RF, Noack T, Renatus K, Lurz P, Thiele H, et al. CT Planning Prior to Transcatheter Mitral Valve Replacement (TMVR). Rofo. 2022;194(4):373-83. doi: 10.1055/a-1718-4182.
    » https://doi.org/10.1055/a-1718-4182
  • 259 Little SH, Bapat V, Blanke P, Guerrero M, Rajagopal V, Siegel R. Imaging Guidance for Transcatheter Mitral Valve Intervention on Prosthetic Valves, Rings, and Annular Calcification. JACC Cardiovasc Imaging. 2021;14(1):22-40. doi: 10.1016/j.jcmg.2019.10.027.
    » https://doi.org/10.1016/j.jcmg.2019.10.027
  • 260 Blanke P, Naoum C, Webb J, Dvir D, Hahn RT, Grayburn P, et al. Multimodality Imaging in the Context of Transcatheter Mitral Valve Replacement: Establishing Consensus among Modalities and Disciplines. JACC Cardiovasc Imaging. 2015;8(10):1191-208. doi: 10.1016/j.jcmg.2015.08.004.
    » https://doi.org/10.1016/j.jcmg.2015.08.004
  • 261 Guerrero M, Wang DD, Pursnani A, Eleid M, Khalique O, Urena M, et al. A Cardiac Computed Tomography-Based Score to Categorize Mitral Annular Calcification Severity and Predict Valve Embolization. JACC Cardiovasc Imaging. 2020;13(9):1945-57. doi: 10.1016/j.jcmg.2020.03.013.
    » https://doi.org/10.1016/j.jcmg.2020.03.013
  • 262 Curran L, Agrawal H, Kallianos K, Kheiwa A, Lin S, Ordovas K, et al. Computed Tomography Guided Sizing for Transcatheter Pulmonary Valve Replacement. Int J Cardiol Heart Vasc. 2020;29:100523. doi: 10.1016/j.ijcha.2020.100523.
    » https://doi.org/10.1016/j.ijcha.2020.100523
  • 263 Rinaldi E, Sadeghi S, Rajpal S, Boe BA, Daniels C, Cheatham J, et al. Utility of CT Angiography for the Prediction of Coronary Artery Compression in Patients Undergoing Transcatheter Pulmonary Valve Replacement. World J Pediatr Congenit Heart Surg. 2020;11(3):295-303. doi: 10.1177/2150135120905670.
    » https://doi.org/10.1177/2150135120905670
  • 264 van Rosendael PJ, Kamperidis V, Kong WK, van Rosendael AR, van der Kley F, Marsan NA, et al. Computed Tomography for Planning Transcatheter Tricuspid Valve Therapy. Eur Heart J. 2017;38(9):665-74. doi: 10.1093/eurheartj/ehw499.
    » https://doi.org/10.1093/eurheartj/ehw499
  • 265 Hell MM, Emrich T, Kreidel F, Kreitner KF, Schoepf UJ, Münzel T, et al. Computed Tomography Imaging Needs for Novel Transcatheter Tricuspid Valve Repair and Replacement Therapies. Eur Heart J Cardiovasc Imaging. 2021;22(6):601-10. doi: 10.1093/ehjci/jeaa308.
    » https://doi.org/10.1093/ehjci/jeaa308
  • 266 Chiaroni PM, Ternacle J, Deux JF, Boukantar M, Mouillet G, Riant E, et al. Computed Tomography for Transcatheter Tricuspid Valve Development. Eur Radiol. 2020;30(2):682-90. doi: 10.1007/s00330-019-06410-6.
    » https://doi.org/10.1007/s00330-019-06410-6
  • 267 Prihadi EA, Delgado V, Hahn RT, Leipsic J, Min JK, Bax JJ. Imaging Needs in Novel Transcatheter Tricuspid Valve Interventions. JACC Cardiovasc Imaging. 2018;11(5):736-54. doi: 10.1016/j.jcmg.2017.10.029.
    » https://doi.org/10.1016/j.jcmg.2017.10.029
  • 268 Calkins H, Hindricks G, Cappato R, Kim YH, Saad EB, Aguinaga L, et al. 2017 HRS/EHRA/ECAS/APHRS/SOLAECE Expert Consensus Statement on Catheter and Surgical Ablation of Atrial Fibrillation. Europace. 2018;20(1):e1-e160. doi: 10.1093/europace/eux274.
    » https://doi.org/10.1093/europace/eux274
  • 269 Donal E, Lip GY, Galderisi M, Goette A, Shah D, Marwan M, et al. EACVI/EHRA Expert Consensus Document on the Role of Multi-modality Imaging for the Evaluation of Patients with Atrial Fibrillation. Eur Heart J Cardiovasc Imaging. 2016;17(4):355-83. doi: 10.1093/ehjci/jev354.
    » https://doi.org/10.1093/ehjci/jev354
  • 270 Hassani C, Saremi F. Comprehensive Cross-sectional Imaging of the Pulmonary Veins. Radiographics. 2017;37(7):1928-54. doi: 10.1148/rg.2017170050.
    » https://doi.org/10.1148/rg.2017170050
  • 271 Liddy S, Buckley U, Kok HK, Loo B, Glover B, Dhillon GR, et al. Applications of Cardiac Computed Tomography in Electrophysiology Intervention. Eur Heart J Cardiovasc Imaging. 2018;19(3):253-61. doi: 10.1093/ehjci/jex312.
    » https://doi.org/10.1093/ehjci/jex312
  • 272 Jongbloed MR, Dirksen MS, Bax JJ, Boersma E, Geleijns K, Lamb HJ, et al. Atrial Fibrillation: Multi-detector Row CT of Pulmonary Vein Anatomy Prior to Radiofrequency Catheter Ablation--initial Experience. Radiology. 2005;234(3):702-9. doi: 10.1148/radiol.2343031047.
    » https://doi.org/10.1148/radiol.2343031047
  • 273 Lacomis JM, Goitein O, Deible C, Schwartzman D. CT of the Pulmonary Veins. J Thorac Imaging. 2007;22(1):63-76. doi: 10.1097/RTI.0b013e3180317aaf.
    » https://doi.org/10.1097/RTI.0b013e3180317aaf
  • 274 Matsumoto Y, Muraoka Y, Funama Y, Mito S, Masuda T, Sato T, et al. Analysis of the Anatomical Features of Pulmonary Veins on Pre-procedural Cardiac CT Images Resulting in Incomplete Cryoballoon Ablation for Atrial Fibrillation. J Cardiovasc Comput Tomogr. 2019;13(2):118-27. doi: 10.1016/j.jcct.2018.11.005.
    » https://doi.org/10.1016/j.jcct.2018.11.005
  • 275 Dong J, Calkins H, Solomon SB, Lai S, Dalal D, Lardo AC, et al. Integrated Electroanatomic Mapping with Three-dimensional Computed Tomographic Images for Real-time Guided Ablations. Circulation. 2006;113(2):186-94. doi: 10.1161/CIRCULATIONAHA.105.565200.
    » https://doi.org/10.1161/CIRCULATIONAHA.105.565200
  • 276 Kistler PM, Rajappan K, Harris S, Earley MJ, Richmond L, Sporton SC, et al. The Impact of Image Integration on Catheter Ablation of Atrial Fibrillation Using Electroanatomic Mapping: A Prospective Randomized Study. Eur Heart J. 2008;29(24):3029-36. doi: 10.1093/eurheartj/ehn453.
    » https://doi.org/10.1093/eurheartj/ehn453
  • 277 Packer DL, Keelan P, Munger TM, Breen JF, Asirvatham S, Peterson LA, et al. Clinical Presentation, Investigation, and Management of Pulmonary Vein Stenosis Complicating Ablation for Atrial Fibrillation. Circulation. 2005;111(5):546-54. doi: 10.1161/01.CIR.0000154541.58478.36.
    » https://doi.org/10.1161/01.CIR.0000154541.58478.36
  • 278 Donal E, Galli E, Lederlin M, Martins R, Schnell F. Multimodality Imaging for Best Dealing with Patients in Atrial Arrhythmias. JACC Cardiovasc Imaging. 2019;12(11 Pt 1):2245-61. doi: 10.1016/j.jcmg.2018.06.031.
    » https://doi.org/10.1016/j.jcmg.2018.06.031
  • 279 Saw J, Lopes JP, Reisman M, McLaughlin P, Nicolau S, Bezerra HG. Cardiac Computed Tomography Angiography for Left Atrial Appendage Closure. Can J Cardiol. 2016;32(8):1033.e1-9. doi: 10.1016/j.cjca.2015.09.020.
    » https://doi.org/10.1016/j.cjca.2015.09.020
  • 280 Romero J, Husain SA, Kelesidis I, Sanz J, Medina HM, Garcia MJ. Detection of Left Atrial Appendage Thrombus by Cardiac Computed Tomography in Patients with Atrial Fibrillation: A Meta-analysis. Circ Cardiovasc Imaging. 2013;6(2):185-94. doi: 10.1161/CIRCIMAGING.112.000153.
    » https://doi.org/10.1161/CIRCIMAGING.112.000153
  • 281 Choi AD, Abbara S, Branch KR, Feuchtner GM, Ghoshhajra B, Nieman K, et al. Society of Cardiovascular Computed Tomography Guidance for use of Cardiac Computed Tomography Amidst the COVID-19 Pandemic Endorsed by the American College of Cardiology. J Cardiovasc Comput Tomogr. 2020;14(2):101-4. doi: 10.1016/j.jcct.2020.03.002.
    » https://doi.org/10.1016/j.jcct.2020.03.002
  • 282 Beigel R, Wunderlich NC, Ho SY, Arsanjani R, Siegel RJ. The left Atrial Appendage: Anatomy, Function, and Noninvasive Evaluation. JACC Cardiovasc Imaging. 2014;7(12):1251-65. doi: 10.1016/j.jcmg.2014.08.009.
    » https://doi.org/10.1016/j.jcmg.2014.08.009
  • 283 Saw J, Lempereur M. Percutaneous Left Atrial Appendage Closure: Procedural Techniques and Outcomes. JACC Cardiovasc Interv. 2014;7(11):1205-20. doi: 10.1016/j.jcin.2014.05.026.
    » https://doi.org/10.1016/j.jcin.2014.05.026
  • 284 Wang Y, Di Biase L, Horton RP, Nguyen T, Morhanty P, Natale A. Left Atrial Appendage Studied by Computed Tomography to Help Planning for Appendage Closure Device Placement. J Cardiovasc Electrophysiol. 2010;21(9):973-82. doi: 10.1111/j.1540-8167.2010.01814.x.
    » https://doi.org/10.1111/j.1540-8167.2010.01814.x
  • 285 Ismail TF, Panikker S, Markides V, Foran JP, Padley S, Rubens MB, et al. CT Imaging for Left Atrial Appendage Closure: A Review and Pictorial Essay. J Cardiovasc Comput Tomogr. 2015;9(2):89-102. doi: 10.1016/j.jcct.2015.01.011.
    » https://doi.org/10.1016/j.jcct.2015.01.011
  • 286 Kwong Y, Troupis J. Cardiac CT Imaging in the Context of Left Atrial Appendage Occlusion. J Cardiovasc Comput Tomogr. 2015;9(1):13-8. doi: 10.1016/j.jcct.2014.11.005.
    » https://doi.org/10.1016/j.jcct.2014.11.005
  • 287 Wang DD, Eng M, Kupsky D, Myers E, Forbes M, Rahman M, et al. Application of 3-Dimensional Computed Tomographic Image Guidance to WATCHMAN Implantation and Impact on Early Operator Learning Curve: Single-Center Experience. JACC Cardiovasc Interv. 2016;9(22):2329-40. doi: 10.1016/j.jcin.2016.07.038.
    » https://doi.org/10.1016/j.jcin.2016.07.038
  • 288 Van de Veire NR, Schuijf JD, De Sutter J, Devos D, Bleeker GB, de Roos A, et al. Non-Invasive Visualization of the Cardiac Venous System in Coronary Artery Disease Patients Using 64-Slice Computed Tomography. J Am Coll Cardiol. 2006;48(9):1832-8. doi: 10.1016/j.jacc.2006.07.042.
    » https://doi.org/10.1016/j.jacc.2006.07.042
  • 289 Hajek P, Safarikova I, Baxa J. Image-guided Left Ventricular Lead Placement in Cardiac Resynchronization Therapy: Focused on Image Fusion Methods. J Appl Biomed. 2019;17(4):199-208. doi: 10.32725/jab.2019.019.
    » https://doi.org/10.32725/jab.2019.019
  • 290 Bettencourt N, Chiribiri A, Schuster A, Ferreira N, Sampaio F, Pires-Morais G, et al. Direct Comparison of Cardiac Magnetic Resonance and Multidetector Computed Tomography Stress-rest Perfusion Imaging for Detection of Coronary Artery Disease. J Am Coll Cardiol. 2013;61(10):1099-107. doi: 10.1016/j.jacc.2012.12.020.
    » https://doi.org/10.1016/j.jacc.2012.12.020
  • 291 Nishiyama H, Tanabe Y, Kido T, Kurata A, Uetani T, Kido T, et al. Incremental Diagnostic Value of Whole-heart Dynamic Computed Tomography Perfusion Imaging for Detecting Obstructive Coronary Artery Disease. J Cardiol. 2019;73(5):425-31. doi: 10.1016/j.jjcc.2018.12.006.
    » https://doi.org/10.1016/j.jjcc.2018.12.006
  • 292 Ho KT, Chua KC, Klotz E, Panknin C. Stress and Rest Dynamic Myocardial Perfusion Imaging by Evaluation of Complete Time-attenuation Curves with Dual-source CT. JACC Cardiovasc Imaging. 2010;3(8):811-20. doi: 10.1016/j.jcmg.2010.05.009.
    » https://doi.org/10.1016/j.jcmg.2010.05.009
  • 293 Bamberg F, Becker A, Schwarz F, Marcus RP, Greif M, von Ziegler F, et al. Detection of Hemodynamically Significant Coronary Artery Stenosis: Incremental Diagnostic Value of Dynamic CT-based Myocardial Perfusion Imaging. Radiology. 2011;260(3):689-98. doi: 10.1148/radiol.11110638. PMID: 21846761..
    » https://doi.org/10.1148/radiol.11110638
  • 294 Wichmann JL, Meinel FG, Schoepf UJ, Lo GG, Choe YH, Wang Y, et al. Absolute versus Relative Myocardial Blood Flow by Dynamic CT Myocardial Perfusion Imaging in Patients with Anatomic Coronary Artery Disease. AJR Am J Roentgenol. 2015;205(1):W67-72. doi: 10.2214/AJR.14.14087.
    » https://doi.org/10.2214/AJR.14.14087
  • 295 Kim SM, Chang SA, Shin W, Choe YH. Dual-energy CT Perfusion During Pharmacologic Stress for the Assessment of Myocardial Perfusion Defects Using a Second-generation Dual-source CT: A Comparison with Cardiac Magnetic Resonance Imaging. J Comput Assist Tomogr. 2014;38(1):44-52. doi: 10.1097/RCT.0b013e3182a77626.
    » https://doi.org/10.1097/RCT.0b013e3182a77626
  • 296 De Cecco CN, Harris BS, Schoepf UJ, Silverman JR, McWhite CB, Krazinski AW, et al. Incremental Value of Pharmacological Stress Cardiac Dual-energy CT Over Coronary CT Angiography Alone for the Assessment of Coronary Artery Disease in a High-risk Population. AJR Am J Roentgenol. 2014;203(1):W70-7. doi: 10.2214/AJR.13.11772.
    » https://doi.org/10.2214/AJR.13.11772
  • 297 Takx RA, Blomberg BA, El Aidi H, Habets J, de Jong PA, Nagel E, et al. Diagnostic Accuracy of Stress Myocardial Perfusion Imaging Compared to Invasive Coronary Angiography with Fractional Flow Reserve Meta-analysis. Circ Cardiovasc Imaging. 2015;8(1):e002666. doi: 10.1161/CIRCIMAGING.114.002666.
    » https://doi.org/10.1161/CIRCIMAGING.114.002666
  • 298 George RT, Arbab-Zadeh A, Miller JM, Kitagawa K, Chang HJ, Bluemke DA, et al. Adenosine Stress 64- and 256-row Detector Computed Tomography Angiography and Perfusion Imaging: A Pilot Study Evaluating the Transmural Extent of Perfusion Abnormalities to Predict Atherosclerosis Causing Myocardial Ischemia. Circ Cardiovasc Imaging. 2009;2(3):174-82. doi: 10.1161/CIRCIMAGING.108.813766.
    » https://doi.org/10.1161/CIRCIMAGING.108.813766
  • 299 Cury RC, Kitt TM, Feaheny K, Blankstein R, Ghoshhajra BB, Budoff MJ, et al. A Randomized, Multicenter, Multivendor Study of Myocardial Perfusion Imaging with Regadenoson CT Perfusion vs Single Photon Emission CT. J Cardiovasc Comput Tomogr. 2015;9(2):103-12.e1-2. doi: 10.1016/j.jcct.2015.01.002.
    » https://doi.org/10.1016/j.jcct.2015.01.002
  • 300 Sørgaard MH, Kofoed KF, Linde JJ, George RT, Rochitte CE, Feuchtner G, et al. Diagnostic Accuracy of Static CT Perfusion for the Detection of Myocardial Ischemia. A Systematic Review and Meta-analysis. J Cardiovasc Comput Tomogr. 2016;10(6):450-7. doi: 10.1016/j.jcct.2016.09.003.
    » https://doi.org/10.1016/j.jcct.2016.09.003
  • 301 Pontone G, Andreini D, Guaricci AI, Baggiano A, Fazzari F, Guglielmo M, et al. Incremental Diagnostic Value of Stress Computed Tomography Myocardial Perfusion with Whole-Heart Coverage CT Scanner in Intermediate- to High-risk Symptomatic Patients Suspected of Coronary Artery Disease. JACC Cardiovasc Imaging. 2019;12(2):338-49. doi: 10.1016/j.jcmg.2017.10.025.
    » https://doi.org/10.1016/j.jcmg.2017.10.025
  • 302 Magalhães TA, Cury RC, Cerci RJ, Parga Filho JR, Gottlieb I, Nacif MS, et al. Evaluation of Myocardial Perfusion by Computed Tomography - Principles, Technical Background and Recommendations. Arq Bras Cardiol. 2019;113(4):758-67. doi: 10.5935/abc.20190217.
    » https://doi.org/10.5935/abc.20190217
  • 303 Dewey M, Rochitte CE, Ostovaneh MR, Chen MY, George RT, Niinuma H, et al. Prognostic Value of Noninvasive Combined Anatomic/Functional Assessment by Cardiac CT in Patients with Suspected Coronary Artery Disease - Comparison with Invasive Coronary Angiography and Nuclear Myocardial Perfusion Imaging for the Five-year-follow up of the CORE320 Multicenter Study. J Cardiovasc Comput Tomogr. 2021;15(6):485-91. doi: 10.1016/j.jcct.2021.04.005.
    » https://doi.org/10.1016/j.jcct.2021.04.005
  • 304 Rief M, Zimmermann E, Stenzel F, Martus P, Stangl K, Greupner J, et al. Computed Tomography Angiography and Myocardial Computed Tomography Perfusion in Patients with Coronary Stents: Prospective Intraindividual Comparison with Conventional Coronary Angiography. J Am Coll Cardiol. 2013;62(16):1476-85. doi: 10.1016/j.jacc.2013.03.088.
    » https://doi.org/10.1016/j.jacc.2013.03.088
  • 305 Hamon M, Biondi-Zoccai GG, Malagutti P, Agostoni P, Morello R, Valgimigli M, et al. Diagnostic Performance of Multislice Spiral Computed Tomography of Coronary Arteries as Compared with Conventional Invasive Coronary Angiography: A Meta-analysis. J Am Coll Cardiol. 2006;48(9):1896-910. doi: 10.1016/j.jacc.2006.08.028.
    » https://doi.org/10.1016/j.jacc.2006.08.028
  • 306 Montalescot G, Sechtem U, Achenbach S, Andreotti F, Arden C, Budaj A, et al. 2013 ESC Guidelines on the Management of Stable Coronary Artery Disease: The Task Force on the Management of Stable Coronary Artery Disease of the European Society of Cardiology. Eur Heart J. 2013;34(38):2949-3003. doi: 10.1093/eurheartj/eht296.
    » https://doi.org/10.1093/eurheartj/eht296
  • 307 Rossi A, Papadopoulou SL, Pugliese F, Russo B, Dharampal AS, Dedic A, et al. Quantitative Computed Tomographic Coronary Angiography: Does it Predict Functionally Significant Coronary Stenoses? Circ Cardiovasc Imaging. 2014;7(1):43-51. doi: 10.1161/CIRCIMAGING.112.000277.
    » https://doi.org/10.1161/CIRCIMAGING.112.000277
  • 308 Pijls NH, De Bruyne B, Peels K, Van Der Voort PH, Bonnier HJ, Bartunek J, et al. Measurement of Fractional Flow Reserve to Assess the Functional Severity of Coronary-artery Stenoses. N Engl J Med. 1996;334(26):1703-8. doi: 10.1056/NEJM199606273342604.
    » https://doi.org/10.1056/NEJM199606273342604
  • 309 De Bruyne B, Sarma J. Fractional Flow Reserve: A Review: Invasive Imaging. Heart. 2008;94(7):949-59. doi: 10.1136/hrt.2007.122838.
    » https://doi.org/10.1136/hrt.2007.122838
  • 310 Jeremias A, Kirtane AJ, Stone GW. A Test in Context: Fractional Flow Reserve: Accuracy, Prognostic Implications, and Limitations. J Am Coll Cardiol. 2017;69(22):2748-58. doi: 10.1016/j.jacc.2017.04.019.
    » https://doi.org/10.1016/j.jacc.2017.04.019
  • 311 Taylor CA, Fonte TA, Min JK. Computational Fluid Dynamics Applied to Cardiac Computed Tomography for Noninvasive Quantification of Fractional Flow Reserve: Scientific Basis. J Am Coll Cardiol. 2013;61(22):2233-41. doi: 10.1016/j.jacc.2012.11.083.
    » https://doi.org/10.1016/j.jacc.2012.11.083
  • 312 Precious B, Blanke P, Nørgaard BL, Min JK, Leipsic J. Fractional Flow Reserve Modeled from Resting Coronary CT Angiography: State of the Science. AJR Am J Roentgenol. 2015;204(3):243-8. doi: 10.2214/AJR.14.13637.
    » https://doi.org/10.2214/AJR.14.13637
  • 313 Koo BK, Erglis A, Doh JH, Daniels DV, Jegere S, Kim HS, et al. Diagnosis of Ischemia-causing Coronary Stenoses by Noninvasive Fractional Flow Reserve Computed from Coronary Computed Tomographic Angiograms. Results from the Prospective Multicenter DISCOVER-FLOW (Diagnosis of Ischemia-Causing Stenoses Obtained Via Noninvasive Fractional Flow Reserve) Study. J Am Coll Cardiol. 2011;58(19):1989-97. doi: 10.1016/j.jacc.2011.06.066.
    » https://doi.org/10.1016/j.jacc.2011.06.066
  • 314 Min JK, Leipsic J, Pencina MJ, Berman DS, Koo BK, van Mieghem C, et al. Diagnostic Accuracy of Fractional Flow Reserve from Anatomic CT Angiography. JAMA. 2012;308(12):1237-45. doi: 10.1001/2012.jama.11274.
    » https://doi.org/10.1001/2012.jama.11274
  • 315 Nørgaard BL, Leipsic J, Gaur S, Seneviratne S, Ko BS, Ito H, et al. Diagnostic Performance of Noninvasive Fractional Flow Reserve Derived from Coronary Computed Tomography Angiography in Suspected Coronary Artery Disease: The NXT trial (Analysis of Coronary Blood Flow Using CT Angiography: Next Steps). J Am Coll Cardiol. 2014;63(12):1145-55. doi: 10.1016/j.jacc.2013.11.043.
    » https://doi.org/10.1016/j.jacc.2013.11.043
  • 316 Curzen NP, Nolan J, Zaman AG, Nørgaard BL, Rajani R. Does the Routine Availability of CT-Derived FFR Influence Management of Patients with Stable Chest Pain Compared to CT Angiography Alone?: The FFRCT RIPCORD Study. JACC Cardiovasc Imaging. 2016;9(10):1188-94. doi: 10.1016/j.jcmg.2015.12.026.
    » https://doi.org/10.1016/j.jcmg.2015.12.026
  • 317 Lu MT, Ferencik M, Roberts RS, Lee KL, Ivanov A, Adami E, et al. Noninvasive FFR Derived From Coronary CT Angiography: Management and Outcomes in the PROMISE Trial. JACC Cardiovasc Imaging. 2017;10(11):1350-8. doi: 10.1016/j.jcmg.2016.11.024.
    » https://doi.org/10.1016/j.jcmg.2016.11.024
  • 318 Itu L, Rapaka S, Passerini T, Georgescu B, Schwemmer C, Schoebinger M, et al. A Machine-learning Approach for Computation of Fractional Flow Reserve from Coronary Computed Tomography. J Appl Physiol (1985). 2016;121(1):42-52. doi: 10.1152/japplphysiol.00752.2015.
    » https://doi.org/10.1152/japplphysiol.00752.2015
  • 319 Miyajima K, Motoyama S, Sarai M, Kawai H, Nagahara Y, Matsumoto R, et al. On-site Assessment of Computed Tomography-derived Fractional Flow Reserve in Comparison with Myocardial Perfusion Imaging and Invasive Fractional Flow Reserve. Heart Vessels. 2020;35(10):1331-40. doi: 10.1007/s00380-020-01606-z.
    » https://doi.org/10.1007/s00380-020-01606-z
  • 320 Coenen A, Kim YH, Kruk M, Tesche C, De Geer J, Kurata A, et al. Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium. Circ Cardiovasc Imaging. 2018;11(6):e007217. doi: 10.1161/CIRCIMAGING.117.007217.
    » https://doi.org/10.1161/CIRCIMAGING.117.007217
  • 321 Tesche C, De Cecco CN, Baumann S, Renker M, McLaurin TW, Duguay TM, et al. Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling. Radiology. 2018;288(1):64-72. doi: 10.1148/radiol.2018171291.
    » https://doi.org/10.1148/radiol.2018171291
  • 322 Prazeres C, Salvatti N, Carvalho H, Silva I, Carneiro A, Magalhães T, et al. Fractional Flow Reserve by Tomography Diagnostic Performance in the Detection of Coronary Stenoses Hemodynamically Significant. Arq Bras Cardiol. 2020;33(3):1-7. doi: 10.5935/2318-8219.20200037.
    » https://doi.org/10.5935/2318-8219.20200037
  • 323 Morais TC, Assunção AN Jr, Dantas RN Jr, Silva CFGD, Paula CB, Torres RA, et al. Diagnostic Performance of a Machine Learning-Based CT-Derived FFR in Detecting Flow-Limiting Stenosis. Arq Bras Cardiol. 2021;116(6):1091-8. doi: 10.36660/abc.20190329.
    » https://doi.org/10.36660/abc.20190329
  • 324 Hlatky MA, Saxena A, Koo BK, Erglis A, Zarins CK, Min JK. Projected Costs and Consequences of Computed Tomography-determined Fractional Flow Reserve. Clin Cardiol. 2013;36(12):743-8. doi: 10.1002/clc.22205.
    » https://doi.org/10.1002/clc.22205
  • 325 Rajani R, Webb J, Marciniak A, Preston R. Comparative Efficacy Testing - Fractional Flow Reserve by Coronary Computed Tomography for the Evaluation of Patients with Stable Chest Pain. Int J Cardiol. 2015;183:173-7. doi: 10.1016/j.ijcard.2015.01.035.
    » https://doi.org/10.1016/j.ijcard.2015.01.035
  • 326 Takagi H, Ishikawa Y, Orii M, Ota H, Niiyama M, Tanaka R, et al. Optimized interpretation of fractional flow reserve derived from computed tomography: Comparison of three interpretation methods. J Cardiovasc Comput Tomogr. 2019;13(2):134-41. doi: 10.1016/j.jcct.2018.10.027.
    » https://doi.org/10.1016/j.jcct.2018.10.027
  • 327 Tesche C, Otani K, De Cecco CN, Coenen A, De Geer J, Kruk M, et al. Influence of Coronary Calcium on Diagnostic Performance of Machine Learning CT-FFR: Results From MACHINE Registry. JACC Cardiovasc Imaging. 2020;13(3):760-70. doi: 10.1016/j.jcmg.2019.06.027.
    » https://doi.org/10.1016/j.jcmg.2019.06.027
  • 328 Rohde LEP, Montera MW, Bocchi EA, Clausell NO, Albuquerque DC, Rassi S, et al. Diretriz Brasileira de Insuficiência Cardíaca Crônica e Aguda. Arq Bras Cardiol. 2018;111(3):436-539. doi: 10.5935/abc.20180190.
    » https://doi.org/10.5935/abc.20180190
  • 329 Cornily JC, Gilard M, Le Gal G, Pennec PY, Vinsonneau U, Blanc JJ, et al. Accuracy of 16-Detector Multislice Spiral Computed Tomography in the Initial Evaluation of Dilated Cardiomyopathy. Eur J Radiol. 2007;61(1):84-90. doi: 10.1016/j.ejrad.2006.08.010.
    » https://doi.org/10.1016/j.ejrad.2006.08.010
  • 330 le Polain de Waroux JB, Pouleur AC, Goffinet C, Pasquet A, Vanoverschelde JL, Gerber BL. Combined Coronary and Late-enhanced Multidetector-computed Tomography for Delineation of the Etiology of Left Ventricular Dysfunction: Comparison with Coronary Angiography and Contrast-enhanced Cardiac Magnetic Resonance Imaging. Eur Heart J. 2008;29(20):2544-51. doi: 10.1093/eurheartj/ehn381.
    » https://doi.org/10.1093/eurheartj/ehn381
  • 331 Boulmier D, Audinet C, Heautot JF, Larralde A, Veillard D, Hamonic S, et al. Clinical Contributions of 64-slice Computed Tomography in the Evaluation of Cardiomyopathy of Unknown Origin. Arch Cardiovasc Dis. 2009;102(10):685-96. doi: 10.1016/j.acvd.2009.06.004.
    » https://doi.org/10.1016/j.acvd.2009.06.004
  • 332 Bhatti S, Hakeem A, Yousuf MA, Al-Khalidi HR, Mazur W, Shizukuda Y. Diagnostic Performance of Computed Tomography Angiography for Differentiating Ischemic vs Nonischemic Cardiomyopathy. J Nucl Cardiol. 2011;18(3):407-20. doi: 10.1007/s12350-011-9346-3.
    » https://doi.org/10.1007/s12350-011-9346-3
  • 333 Asferg C, Usinger L, Kristensen TS, Abdulla J. Accuracy of Multi-slice Computed Tomography for Measurement of Left Ventricular Ejection Fraction Compared with Cardiac Magnetic Resonance Imaging and Two-dimensional Transthoracic Echocardiography: A Systematic Review and Meta-analysis. Eur J Radiol. 2012;81(5):757-62. doi: 10.1016/j.ejrad.2012.02.002.
    » https://doi.org/10.1016/j.ejrad.2012.02.002
  • 334 Lee HJ, Im DJ, Youn JC, Chang S, Suh YJ, Hong YJ, et al. Assessment of Myocardial Delayed Enhancement with Cardiac Computed Tomography in Cardiomyopathies: A Prospective Comparison with Delayed Enhancement Cardiac Magnetic Resonance Imaging. Int J Cardiovasc Imaging. 2017;33(4):577-84. doi: 10.1007/s10554-016-1024-8.
    » https://doi.org/10.1007/s10554-016-1024-8
  • 335 Aikawa T, Oyama-Manabe N, Naya M, Ohira H, Sugimoto A, Tsujino I, et al. Delayed Contrast-enhanced Computed Tomography in Patients with Known or Suspected Cardiac Sarcoidosis: A Feasibility Study. Eur Radiol. 2017;27(10):4054-63. doi: 10.1007/s00330-017-4824-x.
    » https://doi.org/10.1007/s00330-017-4824-x
  • 336 Ferreira ND, Bettencourt N, Rocha J, Leite D, Carvalho M, Teixeira M, et al. Diagnosis of Acute Myopericarditis by Delayed-enhancement Multidetector Computed Tomography. J Am Coll Cardiol. 2012;60(9):868. doi: 10.1016/j.jacc.2012.01.079.
    » https://doi.org/10.1016/j.jacc.2012.01.079
  • 337 Senra T, Shiozaki AA, Salemi VM, Rochitte CE. Delayed Enhancement by Multidetector Computed Tomography in Endomyocardial Fibrosis. Eur Heart J. 2008;29(3):347. doi: 10.1093/eurheartj/ehm372.
    » https://doi.org/10.1093/eurheartj/ehm372
  • 338 Abadia AF, van Assen M, Martin SS, Vingiani V, Griffith LP, Giovagnoli DA, et al. Myocardial Extracellular Volume Fraction to Differentiate Healthy from Cardiomyopathic Myocardium Using Dual-source Dual-energy CT. J Cardiovasc Comput Tomogr. 2020;14(2):162-7. doi: 10.1016/j.jcct.2019.09.008.
    » https://doi.org/10.1016/j.jcct.2019.09.008
  • 339 Adler Y, Charron P, Imazio M, Badano L, Barón-Esquivias G, Bogaert J, et al. 2015 ESC Guidelines for the Diagnosis and Management of Pericardial Diseases: The Task Force for the Diagnosis and Management of Pericardial Diseases of the European Society of Cardiology (ESC)Endorsed by: The European Association for Cardio-Thoracic Surgery (EACTS). Eur Heart J. 2015;36(42):2921-64. doi: 10.1093/eurheartj/ehv318.
    » https://doi.org/10.1093/eurheartj/ehv318
  • 340 Fadl SA, Nasrullah A, Harris A, Edwards R, Kicska G. Comprehensive Review of Pericardial Diseases Using Different Imaging Modalities. Int J Cardiovasc Imaging. 2020;36(5):947-69. doi: 10.1007/s10554-020-01784-x.
    » https://doi.org/10.1007/s10554-020-01784-x
  • 341 Cosyns B, Plein S, Nihoyanopoulos P, Smiseth O, Achenbach S, Andrade MJ, et al. European Association of Cardiovascular Imaging (EACVI) Position Paper: Multimodality Imaging in Pericardial Disease. Eur Heart J Cardiovasc Imaging. 2015;16(1):12-31. doi: 10.1093/ehjci/jeu128.
    » https://doi.org/10.1093/ehjci/jeu128
  • 342 Klein AL, Abbara S, Agler DA, Appleton CP, Asher CR, Hoit B, et al. American Society of Echocardiography clinical recommendations for multimodality cardiovascular imaging of patients with pericardial disease: endorsed by the Society for Cardiovascular Magnetic Resonance and Society of Cardiovascular Computed Tomography. J Am Soc Echocardiogr. 2013;26(9):965-1012. doi: 10.1016/j.echo.2013.06.023.
    » https://doi.org/10.1016/j.echo.2013.06.023
  • 343 Al-Mallah MH, Almasoudi F, Ebid M, Ahmed AM, Jamiel A. Multimodality Imaging of Pericardial Diseases. Curr Treat Options Cardiovasc Med. 2017;19(12):89. doi: 10.1007/s11936-017-0590-y.
    » https://doi.org/10.1007/s11936-017-0590-y
  • 344 Kligerman S. Imaging of Pericardial Disease. Radiol Clin North Am. 2019;57(1):179-99. doi: 10.1016/j.rcl.2018.09.001.
    » https://doi.org/10.1016/j.rcl.2018.09.001
  • 345 Klem I, Heitner JF, Shah DJ, Sketch MH Jr, Behar V, Weinsaft J, et al. Improved Detection of Coronary Artery Disease by Stress Perfusion Cardiovascular Magnetic Resonance with the Use of Delayed Enhancement Infarction Imaging. J Am Coll Cardiol. 2006;47(8):1630-8. doi: 10.1016/j.jacc.2005.10.074.
    » https://doi.org/10.1016/j.jacc.2005.10.074
  • 346 Kassop D, Donovan MS, Cheezum MK, Nguyen BT, Gambill NB, Blankstein R, Villines TC. Cardiac Masses on Cardiac CT: A Review. Curr Cardiovasc Imaging Rep. 2014;7(8):9281. doi: 10.1007/s12410-014-9281-1.
    » https://doi.org/10.1007/s12410-014-9281-1
  • 347 Gatti M, D'Angelo T, Muscogiuri G, Dell'aversana S, Andreis A, Carisio A, et al. Cardiovascular Magnetic Resonance of Cardiac Tumors and Masses. World J Cardiol. 2021;13(11):628-49. doi: 10.4330/wjc.v13.i11.628.
    » https://doi.org/10.4330/wjc.v13.i11.628
  • 348 Kang EJ. Clinical Applications of Wide-Detector CT Scanners for Cardiothoracic Imaging: An Update. Korean J Radiol. 2019;20(12):1583-96. doi: 10.3348/kjr.2019.0327.
    » https://doi.org/10.3348/kjr.2019.0327
  • 349 Desjardins B, Kazerooni EA. ECG-gated Cardiac CT. AJR Am J Roentgenol. 2004;182(4):993-1010. doi: 10.2214/ajr.182.4.1820993.
    » https://doi.org/10.2214/ajr.182.4.1820993
  • 350 Rahbar K, Seifarth H, Schäfers M, Stegger L, Hoffmeier A, Spieker T, et al. Differentiation of Malignant and Benign Cardiac Tumors Using 18F-FDG PET/CT. J Nucl Med. 2012;53(6):856-63. doi: 10.2967/jnumed.111.095364.
    » https://doi.org/10.2967/jnumed.111.095364
  • 351 D'Angelo EC, Paolisso P, Vitale G, Foà A, Bergamaschi L, Magnani I, et al. Diagnostic Accuracy of Cardiac Computed Tomography and 18-F Fluorodeoxyglucose Positron Emission Tomography in Cardiac Masses. JACC Cardiovasc Imaging. 2020;13(11):2400-11. doi: 10.1016/j.jcmg.2020.03.021.
    » https://doi.org/10.1016/j.jcmg.2020.03.021
  • 352 Lopez-Mattei JC, Lu Y. Multimodality Imaging in Cardiac Masses: To Standardize Recommendations, The Time Is Now! JACC Cardiovasc Imaging. 2020;13(11):2412-4. doi: 10.1016/j.jcmg.2020.04.009.
    » https://doi.org/10.1016/j.jcmg.2020.04.009
  • 353 Bittencourt MS, Achenbach S, Marwan M, Seltmann M, Muschiol G, Ropers D, et al. Left Ventricular Thrombus Attenuation Characterization in Cardiac Computed Tomography Angiography. J Cardiovasc Comput Tomogr. 2012;6(2):121-6. doi: 10.1016/j.jcct.2011.12.006.
    » https://doi.org/10.1016/j.jcct.2011.12.006
  • 354 Goldstein JA, Schiller NB, Lipton MJ, Ports TA, Brundage BH. Evaluation of Left Ventricular Thrombi by Contrast-enhanced Computed Tomography and Two-dimensional Echocardiography. Am J Cardiol. 1986;57(10):757-60. doi: 10.1016/0002-9149(86)90608-9.
    » https://doi.org/10.1016/0002-9149(86)90608-9
  • 355 Cohen A, Donal E, Delgado V, Pepi M, Tsang T, Gerber B, et al. EACVI Recommendations on Cardiovascular Imaging for the Detection of Embolic Sources: Endorsed by the Canadian Society of Echocardiography. Eur Heart J Cardiovasc Imaging. 2021;22(6):24-57. doi: 10.1093/ehjci/jeab008.
    » https://doi.org/10.1093/ehjci/jeab008
  • 356 Groeneveld NS, Guglielmi V, Leeflang MMG, Boekholdt SM, Planken RN, Roos YBWEM, et al. CT Angiography vs Echocardiography for Detection of Cardiac Thrombi in Ischemic Stroke: A Systematic Review and Meta-analysis. J Neurol. 2020;267(6):1793-801. doi: 10.1007/s00415-020-09766-8.
    » https://doi.org/10.1007/s00415-020-09766-8
  • 357 Palaskas N, Thompson K, Gladish G, Agha AM, Hassan S, Iliescu C, et al. Evaluation and Management of Cardiac Tumors. Curr Treat Options Cardiovasc Med. 2018;20(4):29. doi: 10.1007/s11936-018-0625-z.
    » https://doi.org/10.1007/s11936-018-0625-z
  • 358 Antonopoulos AS, Angelopoulos A, Tsioufis K, Antoniades C, Tousoulis D. Cardiovascular Risk Stratification by Coronary Computed Tomography Angiography Imaging: Current State-of-the-art. Eur J Prev Cardiol. 2022;29(4):608-24. doi: 10.1093/eurjpc/zwab067.
    » https://doi.org/10.1093/eurjpc/zwab067
  • 359 Kalisz K, Rajiah P. Computed Tomography of Cardiomyopathies. Cardiovasc Diagn Ther. 2017;7(5):539-56. doi: 10.21037/cdt.2017.09.07.
    » https://doi.org/10.21037/cdt.2017.09.07
  • 360 Fu H, Wang X, Diao K, Huang S, Liu H, Gao Y, et al. CT Compared to MRI for Functional Evaluation of the Right Ventricle: A Systematic Review and Meta-analysis. Eur Radiol. 2019;29(12):6816-28. doi: 10.1007/s00330-019-06228-2.
    » https://doi.org/10.1007/s00330-019-06228-2
  • 361 Kim JY, Suh YJ, Han K, Kim YJ, Choi BW. Cardiac CT for Measurement of Right Ventricular Volume and Function in Comparison with Cardiac MRI: A Meta-Analysis. Korean J Radiol. 2020;21(4):450-61. doi: 10.3348/kjr.2019.0499.
    » https://doi.org/10.3348/kjr.2019.0499
  • 362 Gopalan D. Right Heart on Multidetector CT. Br J Radiol. 2011;84(3):306-23. doi: 10.1259/bjr/59278996.
    » https://doi.org/10.1259/bjr/59278996
  • 363 Nakajima T, Kimura F, Kajimoto K, Kasanuki H, Hagiwara N. Utility of ECG-gated MDCT to Differentiate Patients with ARVC/D from Patients with Ventricular Tachyarrhythmias. J Cardiovasc Comput Tomogr. 2013;7(4):223-33. doi: 10.1016/j.jcct.2013.05.004.
    » https://doi.org/10.1016/j.jcct.2013.05.004
  • 364 Te Riele ASJM, Tandri H, Sanborn DM, Bluemke DA. Noninvasive Multimodality Imaging in ARVD/C. JACC Cardiovasc Imaging. 2015;8(5):597-611. doi: 10.1016/j.jcmg.2015.02.007.
    » https://doi.org/10.1016/j.jcmg.2015.02.007
  • 365 Chun EJ, Choi SI, Jin KN, Kwag HJ, Kim YJ, Choi BW, et al. Hypertrophic Cardiomyopathy: Assessment with MR Imaging and Multidetector CT. Radiographics. 2010;30(5):1309-28. doi: 10.1148/rg.305095074.
    » https://doi.org/10.1148/rg.305095074
  • 366 Ko SM, Hwang SH, Lee HJ. Role of Cardiac Computed Tomography in the Diagnosis of Left Ventricular Myocardial Diseases. J Cardiovasc Imaging. 2019;27(2):73-92. doi: 10.4250/jcvi.2019.27.e17.
    » https://doi.org/10.4250/jcvi.2019.27.e17
  • 367 Shiozaki AA, Senra T, Arteaga E, Martinelli Filho M, Pita CG, Ávila LF, et al. Myocardial Fibrosis Detected by Cardiac CT Predicts Ventricular Fibrillation/Ventricular Tachycardia Events in Patients with Hypertrophic Cardiomyopathy. J Cardiovasc Comput Tomogr. 2013;7(3):173-81. doi: 10.1016/j.jcct.2013.04.002.
    » https://doi.org/10.1016/j.jcct.2013.04.002
  • 368 Sidhu MS, Uthamalingam S, Ahmed W, Engel LC, Vorasettakarnkij Y, Lee AM, et al. Defining Left Ventricular Noncompaction Using Cardiac Computed Tomography. J Thorac Imaging. 2014;29(1):60-6. doi: 10.1097/RTI.0b013e31828e9b3d.
    » https://doi.org/10.1097/RTI.0b013e31828e9b3d
  • 369 Bouleti C, Baudry G, Iung B, Arangalage D, Abtan J, Ducrocq G, et al. Usefulness of Late Iodine Enhancement on Spectral CT in Acute Myocarditis. JACC Cardiovasc Imaging. 2017;10(7):826-7. doi: 10.1016/j.jcmg.2016.09.013.
    » https://doi.org/10.1016/j.jcmg.2016.09.013
  • 370 Dambrin G, Laissy JP, Serfaty JM, Caussin C, Lancelin B, Paul JF. Diagnostic Value of ECG-gated Multidetector Computed Tomography in the Early Phase of Suspected Acute Myocarditis. A Preliminary Comparative Study with Cardiac MRI. Eur Radiol. 2007;17(2):331-8. doi: 10.1007/s00330-006-0391-2.
    » https://doi.org/10.1007/s00330-006-0391-2
  • 371 Montera MW, Marcondes-Braga FG, Simões MV, Moura LAZ, Fernandes F, Mangine S, et al. Brazilian Society of Cardiology Guideline on Myocarditis - 2022. Arq Bras Cardiol. 2022;119(1):143-211. doi: 10.36660/abc.20220412.
    » https://doi.org/10.36660/abc.20220412
  • 372 Hussain J, Ghandforoush A, Virk Z, Cherukuri M. Viability Assessment by Multidetector Computed Tomography in Takotsubo Cardiomyopathy. J Thorac Imaging. 2011;26(1):7-8. doi: 10.1097/RTI.0b013e3181ddd41d.
    » https://doi.org/10.1097/RTI.0b013e3181ddd41d
  • 373 Otalvaro L, Zambrano JP, Fishman JE. Takotsubo Cardiomyopathy: Utility of Cardiac Computed Tomography Angiography for Acute Diagnosis. J Thorac Imaging. 2011;26(3):83-5. doi: 10.1097/RTI.0b013e3181eebc2d.
    » https://doi.org/10.1097/RTI.0b013e3181eebc2d
  • 374 Treibel TA, Bandula S, Fontana M, White SK, Gilbertson JA, Herrey AS, et al. Extracellular Volume Quantification by Dynamic Equilibrium Cardiac Computed Tomography in Cardiac Amyloidosis. J Cardiovasc Comput Tomogr. 2015;9(6):585-92. doi: 10.1016/j.jcct.2015.07.001.
    » https://doi.org/10.1016/j.jcct.2015.07.001
  • 375 Bogaert J, Francone M. Pericardial Disease: Value of CT and MR Imaging. Radiology. 2013;267(2):340-56. doi: 10.1148/radiol.13121059.
    » https://doi.org/10.1148/radiol.13121059
  • 376 Rajiah P, Kanne JP. Computed Tomography of the Pericardium and Pericardial Disease. J Cardiovasc Comput Tomogr. 2010;4(1):3-18. doi: 10.1016/j.jcct.2010.01.004.
    » https://doi.org/10.1016/j.jcct.2010.01.004
  • 377 Terry NLJ, Manapragada P, Aziz MU, Singh SP. Cardiac Mass Evaluation with Cardiac Computed Tomography: A Review. J Med Imaging Radiat Sci. 2021;52(3):78-87.
  • 378 Roos JE, Willmann JK, Weishaupt D, Lachat M, Marincek B, Hilfiker PR. Thoracic Aorta: Motion Artifact Reduction with Retrospective and Prospective Electrocardiography-assisted Multi-detector Row CT. Radiology. 2002;222(1):271-7. doi: 10.1148/radiol.2221010481.
    » https://doi.org/10.1148/radiol.2221010481
  • 379 Hiratzka LF, Bakris GL, Beckman JA, Bersin RM, Carr VF, Casey DE Jr, et al. 2010 ACCF/AHA/AATS/ACR/ASA/SCA/SCAI/SIR/STS/SVM Guidelines for the Diagnosis and Management of Patients with Thoracic Aortic Disease: A Report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines, American Association for Thoracic Surgery, American College of Radiology, American Stroke Association, Society of Cardiovascular Anesthesiologists, Society for Cardiovascular Angiography and Interventions, Society of Interventional Radiology, Society of Thoracic Surgeons, and Society for Vascular Medicine. Circulation. 2010;121(13):266-369. doi: 10.1161/CIR.0b013e3181d4739e.
    » https://doi.org/10.1161/CIR.0b013e3181d4739e
  • 380 Agarwal PP, Chughtai A, Matzinger FR, Kazerooni EA. Multidetector CT of Thoracic Aortic Aneurysms. Radiographics. 2009;29(2):537-52. doi: 10.1148/rg.292075080.
    » https://doi.org/10.1148/rg.292075080
  • 381 Ellis JH, Cohan RH. Reducing the Risk of Contrast-induced Nephropathy: A Perspective on the Controversies. AJR Am J Roentgenol. 2009;192(6):1544-9. doi: 10.2214/AJR.09.2368.
    » https://doi.org/10.2214/AJR.09.2368
  • 382 Saba L, Mallarini G. A Comparison Between NASCET and ECST Methods in the Study of Carotids: Evaluation Using Multi-Detector-Row CT Angiography. Eur J Radiol. 2010;76(1):42-7. doi: 10.1016/j.ejrad.2009.04.064.
    » https://doi.org/10.1016/j.ejrad.2009.04.064
  • 383 Jonas DE, Feltner C, Amick HR, Sheridan S, Zheng ZJ, Watford DJ, et al. Screening for Asymptomatic Carotid Artery Stenosis: A Systematic Review and Meta-analysis for the U.S. Preventive Services Task Force. Ann Intern Med. 2014;161(5):336-46. doi: 10.7326/M14-0530.
    » https://doi.org/10.7326/M14-0530
  • 384 Redekop GJ. Extracranial Carotid and Vertebral Artery Dissection: A Review. Can J Neurol Sci. 2008;35(2):146-52. doi: 10.1017/s0317167100008556.
    » https://doi.org/10.1017/s0317167100008556
  • 385 Liu PS, Platt JF. CT Angiography of the Renal Circulation. Radiol Clin North Am. 2010;48(2):347-65. doi: 10.1016/j.rcl.2010.02.005.
    » https://doi.org/10.1016/j.rcl.2010.02.005
  • 386 Fraioli F, Catalano C, Bertoletti L, Danti M, Fanelli F, Napoli A, et al. Multidetector-row CT Angiography of Renal Artery Stenosis in 50 Consecutive Patients: Prospective Interobserver Comparison with DSA. Radiol Med. 2006;111(3):459-68. doi: 10.1007/s11547-006-0042-3.
    » https://doi.org/10.1007/s11547-006-0042-3
  • 387 Kramer CM, Budoff MJ, Fayad ZA, Ferrari VA, Goldman C, Lesser JR, et al. ACCF/AHA 2007 Clinical Competence Statement on Vascular Imaging with Computed Tomography and Magnetic Resonance. A report of the American College of Cardiology Foundation/American Heart Association/American College of Physicians Task Force on Clinical Competence and Training. J Am Coll Cardiol. 2007;50(11):1097-114. doi: 10.1016/j.jacc.2007.07.006.
    » https://doi.org/10.1016/j.jacc.2007.07.006
  • 388 Ouwendijk R, de Vries M, Pattynama PM, van Sambeek MR, de Haan MW, Stijnen T, et al. Imaging Peripheral Arterial Disease: A Randomized Controlled Trial Comparing Contrast-enhanced MR Angiography and Multi-detector Row CT Angiography. Radiology. 2005;236(3):1094-103. doi: 10.1148/radiol.2363041140.
    » https://doi.org/10.1148/radiol.2363041140
  • 389 Schernthaner R, Fleischmann D, Lomoschitz F, Stadler A, Lammer J, Loewe C. Effect of MDCT Angiographic Findings on the Management of Intermittent Claudication. AJR Am J Roentgenol. 2007;189(5):1215-22. doi: 10.2214/AJR.07.2054.
    » https://doi.org/10.2214/AJR.07.2054
  • 390 Lopera JE, Trimmer CK, Josephs SG, Anderson ME, Schuber S, Li R, et al. Multidetector CT Angiography of Infrainguinal Arterial Bypass. Radiographics. 2008;28(2):529-48. doi: 10.1148/rg.282075032.
    » https://doi.org/10.1148/rg.282075032
  • 391 Wadgaonkar AD, Black JH 3rd, Weihe EK, Zimmerman SL, Fishman EK, Johnson PT. Abdominal Aortic Aneurysms Revisited: MDCT with Multiplanar Reconstructions for Identifying Indicators of Instability in the Pre- and Postoperative Patient. Radiographics. 2015;35(1):254-68. doi: 10.1148/rg.351130137.
    » https://doi.org/10.1148/rg.351130137
  • 392 Restrepo CS, Ocazionez D, Suri R, Vargas D. Aortitis: Imaging Spectrum of the Infectious and Inflammatory Conditions of the Aorta. Radiographics. 2011;31(2):435-51. doi: 10.1148/rg.312105069.
    » https://doi.org/10.1148/rg.312105069
  • 393 Stein PD, Fowler SE, Goodman LR, Gottschalk A, Hales CA, Hull RD, et al. Multidetector Computed Tomography for Acute Pulmonary Embolism. N Engl J Med. 2006;354(22):2317-27. doi: 10.1056/NEJMoa052367.
    » https://doi.org/10.1056/NEJMoa052367
  • 394 Konstantinides SV, Meyer G, Becattini C, Bueno H, Geersing GJ, Harjola VP, et al. 2019 ESC Guidelines for the Diagnosis and Management of Acute Pulmonary Embolism Developed in Collaboration with the European Respiratory Society (ERS). Eur Heart J. 2020;41(4):543-603. doi: 10.1093/eurheartj/ehz405.
    » https://doi.org/10.1093/eurheartj/ehz405
  • 395 Grosse C, Grosse A. CT Findings in Diseases Associated with Pulmonary Hypertension: A Current Review. Radiographics. 2010;30(7):1753-77. doi: 10.1148/rg.307105710.
    » https://doi.org/10.1148/rg.307105710
  • 396 Furukawa A, Kanasaki S, Kono N, Wakamiya M, Tanaka T, Takahashi M, et al. CT Diagnosis of Acute Mesenteric Ischemia from Various Causes. AJR Am J Roentgenol. 2009;192(2):408-16. doi: 10.2214/AJR.08.1138.
    » https://doi.org/10.2214/AJR.08.1138
  • 397 Cudnik MT, Darbha S, Jones J, Macedo J, Stockton SW, Hiestand BC. The Diagnosis of Acute Mesenteric Ischemia: A Systematic Review and Meta-analysis. Acad Emerg Med. 2013;20(11):1087-100. doi: 10.1111/acem.12254.
    » https://doi.org/10.1111/acem.12254
  • 398 Macari M, Megibow AJ, Balthazar EJ. A pattern Approach to the Abnormal Small Bowel: Observations at MDCT and CT Enterography. AJR Am J Roentgenol. 2007;188(5):1344-55. doi: 10.2214/AJR.06.0712.
    » https://doi.org/10.2214/AJR.06.0712
  • 399 Kolkman JJ, Geelkerken RH. Diagnosis and Treatment of Chronic Mesenteric Ischemia: An Update. Best Pract Res Clin Gastroenterol. 2017;31(1):49-57. doi: 10.1016/j.bpg.2017.01.003.
    » https://doi.org/10.1016/j.bpg.2017.01.003
  • 400 Horton KM, Fishman EK. CT Angiography of the Mesenteric Circulation. Radiol Clin North Am. 2010;48(2):331-45. doi: 10.1016/j.rcl.2010.02.004.
    » https://doi.org/10.1016/j.rcl.2010.02.004
  • 401 Isselbacher EM, Preventza O, Black JH 3rd, Augoustides JG, Beck AW, Bolen MA, et al. 2022 ACC/AHA Guideline for the Diagnosis and Management of Aortic Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines. Circulation. 2022;146(24):334-482. doi: 10.1161/CIR.0000000000001106.
    » https://doi.org/10.1161/CIR.0000000000001106
  • 402 Liotta R, Chughtai A, Agarwal PP. Computed Tomography Angiography of Thoracic Aortic Aneurysms. Semin Ultrasound CT MR. 2012;33(3):235-46. doi: 10.1053/j.sult.2011.11.003.
    » https://doi.org/10.1053/j.sult.2011.11.003
  • 403 Davis CA. Computed Tomography for the Diagnosis and Management of Abdominal Aortic Aneurysms. Surg Clin North Am. 2011;91(1):185-93. doi: 10.1016/j.suc.2010.10.007.
    » https://doi.org/10.1016/j.suc.2010.10.007
  • 404 Yoo SM, Lee HY, White CS. MDCT Evaluation of Acute Aortic Syndrome. Radiol Clin North Am. 2010;48(1):67-83. doi: 10.1016/j.rcl.2009.09.006.
    » https://doi.org/10.1016/j.rcl.2009.09.006
  • 405 Hayter RG, Rhea JT, Small A, Tafazoli FS, Novelline RA. Suspected Aortic Dissection and Other Aortic Disorders: Multi-detector Row CT in 373 Cases in the Emergency Setting. Radiology. 2006;238(3):841-52. doi: 10.1148/radiol.2383041528.
    » https://doi.org/10.1148/radiol.2383041528
  • 406 Ledbetter S, Stuk JL, Kaufman JA. Helical (spiral) CT in the Evaluation of Emergent Thoracic Aortic Syndromes. Traumatic Aortic Rupture, Aortic Aneurysm, Aortic Dissection, Intramural Hematoma, and Penetrating Atherosclerotic Ulcer. Radiol Clin North Am. 1999;37(3):575-89. doi: 10.1016/s0033-8389(05)70112-3.
    » https://doi.org/10.1016/s0033-8389(05)70112-3
  • 407 Karthikesalingam A, Al-Jundi W, Jackson D, Boyle JR, Beard JD, Holt PJ, et al. Systematic Review and Meta-analysis of Duplex Ultrasonography, Contrast-enhanced Ultrasonography or Computed Tomography for Surveillance after Endovascular Aneurysm Repair. Br J Surg. 2012;99(11):1514-23. doi: 10.1002/bjs.8873.
    » https://doi.org/10.1002/bjs.8873
  • 408 Koelemay MJ, Nederkoorn PJ, Reitsma JB, Majoie CB. Systematic Review of Computed Tomographic Angiography for Assessment of Carotid Artery Disease. Stroke. 2004;35(10):2306-12. doi: 10.1161/01.STR.0000141426.63959.cc.
    » https://doi.org/10.1161/01.STR.0000141426.63959.cc
  • 409 Hirsch AT, Haskal ZJ, Hertzer NR, Bakal CW, Creager MA, Halperin JL, et al. ACC/AHA 2005 Practice Guidelines for the Management of Patients with Peripheral Arterial Disease (Lower Extremity, Renal, Mesenteric, and Abdominal Aortic): A Collaborative Report from the American Association for Vascular Surgery/Society for Vascular Surgery, Society for Cardiovascular Angiography and Interventions, Society for Vascular Medicine and Biology, Society of Interventional Radiology, and the ACC/AHA Task Force on Practice Guidelines (Writing Committee to Develop Guidelines for the Management of Patients with Peripheral Arterial Disease): Endorsed by the American Association of Cardiovascular and Pulmonary Rehabilitation; National Heart, Lung, and Blood Institute; Society for Vascular Nursing; TransAtlantic Inter-Society Consensus; and Vascular Disease Foundation. Circulation. 2006;113(11):463-654. doi: 10.1161/CIRCULATIONAHA.106.174526.
    » https://doi.org/10.1161/CIRCULATIONAHA.106.174526
  • 410 Gerhard-Herman MD, Gornik HL, Barrett C, Barshes NR, Corriere MA, Drachman DE, et al. 2016 AHA/ACC Guideline on the Management of Patients with Lower Extremity Peripheral Artery Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation. 2017;135(12):726-79. doi: 10.1161/CIR.0000000000000471.
    » https://doi.org/10.1161/CIR.0000000000000471
  • 411 Heijenbrok-Kal MH, Kock MC, Hunink MG. Lower Extremity Arterial Disease: Multidetector CT Angiography Meta-analysis. Radiology. 2007;245(2):433-9. doi: 10.1148/radiol.2451061280.
    » https://doi.org/10.1148/radiol.2451061280
  • 412 Foley WD, Stonely T. CT Angiography of the Lower Extremities. Radiol Clin North Am. 2010;48(2):367-96. doi: 10.1016/j.rcl.2010.02.008.
    » https://doi.org/10.1016/j.rcl.2010.02.008
  • 413 Batouty NM, Tawfik AM, Sobh DM, Razek AAKA. Computed Tomography and Magnetic Resonance Imaging of Congenital Thoracic Systemic Venous Anomalies. Pediatr Radiol. 2023;53(5):1005-18. doi: 10.1007/s00247-022-05570-w.
    » https://doi.org/10.1007/s00247-022-05570-w
  • 414 Silickas J, Black SA, Phinikaridou A, Gwozdz AM, Smith A, Saha P. Use of Computed Tomography and Magnetic Resonance Imaging in Central Venous Disease. Methodist Debakey Cardiovasc J. 2018;14(3):188-95. doi: 10.14797/mdcj-14-3-188.
    » https://doi.org/10.14797/mdcj-14-3-188
  • 415 Lin YT, Tsai IC, Tsai WL, Chen MC, Lin PC, Chan SW, et al. Comprehensive Evaluation of Patients Suspected with Deep Vein Thrombosis Using Indirect CT Venography with Multi-detector Row Technology: From Protocol to Interpretation. Int J Cardiovasc Imaging. 2010;26(Suppl 2):311-22. doi: 10.1007/s10554-010-9688-y.
    » https://doi.org/10.1007/s10554-010-9688-y
  • 416 Tanoue S, Nakaura T, Iyama Y, Iyama A, Nagayama Y, Yoshida M, et al. Diagnostic Performance of Dual-Layer Computed Tomography for Deep Vein Thrombosis in Indirect Computed Tomography Venography. Circ J. 2020;84(4):636-41. doi: 10.1253/circj.CJ-19-0722.
    » https://doi.org/10.1253/circj.CJ-19-0722
  • 417 Sato T, Yoshimura N, Horii Y, Yamazaki M, Sato K, Kumagai K, et al. Low Tube Voltage Computed Tomography Venography for Patients with Deep Vein Thrombosis of the Lower Extremities - A Comparison with Venous Ultrasonography. Circ J. 2021;85(4):369-76. doi: 10.1253/circj.CJ-20-0416.
    » https://doi.org/10.1253/circj.CJ-20-0416
  • 418 Kim RJ, Fieno DS, Parrish TB, Harris K, Chen EL, Simonetti O, et al. Relationship of MRI Delayed Contrast Enhancement to Irreversible Injury, Infarct Age, and Contractile Function. Circulation. 1999;100(19):1992-2002. doi: 10.1161/01.cir.100.19.1992.
    » https://doi.org/10.1161/01.cir.100.19.1992
  • 419 Leiner T, Bogaert J, Friedrich MG, Mohiaddin R, Muthurangu V, Myerson S, et al. SCMR Position Paper (2020) on Clinical Indications for Cardiovascular Magnetic Resonance. J Cardiovasc Magn Reson. 2020;22(1):76. doi: 10.1186/s12968-020-00682-4.
    » https://doi.org/10.1186/s12968-020-00682-4
  • 420 von Knobelsdorff-Brenkenhoff F, Schulz-Menger J. Cardiovascular Magnetic Resonance in the Guidelines of the European Society of Cardiology: A Comprehensive Summary and Update. J Cardiovasc Magn Reson. 2023;25(1):42. doi: 10.1186/s12968-023-00950-z.
    » https://doi.org/10.1186/s12968-023-00950-z
  • 421 Wagner A, Mahrholdt H, Holly TA, Elliott MD, Regenfus M, Parker M, et al. Contrast-enhanced MRI and Routine Single Photon Emission Computed Tomography (SPECT) Perfusion Imaging for Detection of Subendocardial Myocardial Infarcts: An Imaging Study. Lancet. 2003;361(9355):374-9. doi: 10.1016/S0140-6736(03)12389-6.
    » https://doi.org/10.1016/S0140-6736(03)12389-6
  • 422 Kim RJ, Wu E, Rafael A, Chen EL, Parker MA, Simonetti O, et al. The Use of Contrast-enhanced Magnetic Resonance Imaging to Identify Reversible Myocardial Dysfunction. N Engl J Med. 2000;343(20):1445-53. doi: 10.1056/NEJM200011163432003.
    » https://doi.org/10.1056/NEJM200011163432003
  • 423 Geva T. Repaired Tetralogy of Fallot: the Roles of Cardiovascular Magnetic Resonance in Evaluating Pathophysiology and for Pulmonary Valve Replacement Decision Support. J Cardiovasc Magn Reson. 2011;13(1):9. doi: 10.1186/1532-429X-13-9.
    » https://doi.org/10.1186/1532-429X-13-9
  • 424 Kodzwa R. ACR Manual on Contrast Media: 2018 Updates. Radiol Technol. 2019;91(1):97-100.
  • 425 Russo RJ, Costa HS, Silva PD, Anderson JL, Arshad A, Biederman RW, et al. Assessing the Risks Associated with MRI in Patients with a Pacemaker or Defibrillator. N Engl J Med. 2017;376(8):755-64. doi: 10.1056/NEJMoa1603265.
    » https://doi.org/10.1056/NEJMoa1603265
  • 426 Anderson LJ, Holden S, Davis B, Prescott E, Charrier CC, Bunce NH, et al. Cardiovascular T2-star (T2*) Magnetic Resonance for the Early Diagnosis of Myocardial Iron Overload. Eur Heart J. 2001;22(23):2171-9. doi: 10.1053/euhj.2001.2822.
    » https://doi.org/10.1053/euhj.2001.2822
  • 427 Modell B, Khan M, Darlison M, Westwood MA, Ingram D, Pennell DJ. Improved Survival of Thalassaemia Major in the UK and Relation to T2* Cardiovascular Magnetic Resonance. J Cardiovasc Magn Reson. 2008;10(1):42. doi: 10.1186/1532-429X-10-42.
    » https://doi.org/10.1186/1532-429X-10-42
  • 428 Haaf P, Garg P, Messroghli DR, Broadbent DA, Greenwood JP, Plein S. Cardiac T1 Mapping and Extracellular Volume (ECV) in Clinical Practice: A Comprehensive Review. J Cardiovasc Magn Reson. 2016;18(1):89. doi: 10.1186/s12968-016-0308-4.
    » https://doi.org/10.1186/s12968-016-0308-4
  • 429 O'Brien AT, Gil KE, Varghese J, Simonetti OP, Zareba KM. T2 Mapping in Myocardial Disease: A Comprehensive Review. J Cardiovasc Magn Reson. 2022;24(1):33. doi: 10.1186/s12968-022-00866-0.
    » https://doi.org/10.1186/s12968-022-00866-0
  • 430 Nagel E, Lehmkuhl HB, Bocksch W, Klein C, Vogel U, Frantz E, et al. Noninvasive Diagnosis of Ischemia-induced Wall Motion Abnormalities with the Use of High-dose Dobutamine Stress MRI: Comparison with Dobutamine Stress Echocardiography. Circulation. 1999;99(6):763-70. doi: 10.1161/01.cir.99.6.763.
    » https://doi.org/10.1161/01.cir.99.6.763
  • 431 Alba AC, Gaztañaga J, Foroutan F, Thavendiranathan P, Merlo M, Alonso-Rodriguez D, et al. Prognostic Value of Late Gadolinium Enhancement for the Prediction of Cardiovascular Outcomes in Dilated Cardiomyopathy: An International, Multi-Institutional Study of the MINICOR Group. Circ Cardiovasc Imaging. 2020;13(4):e010105. doi: 10.1161/CIRCIMAGING.119.010105.
    » https://doi.org/10.1161/CIRCIMAGING.119.010105
  • 432 Francone M. Role of Cardiac Magnetic Resonance in the Evaluation of Dilated Cardiomyopathy: Diagnostic Contribution and Prognostic Significance. ISRN Radiol. 2014;2014:365404. doi: 10.1155/2014/365404.
    » https://doi.org/10.1155/2014/365404
  • 433 Di Marco A, Anguera I, Schmitt M, Klem I, Neilan TG, White JA, et al. Late Gadolinium Enhancement and the Risk for Ventricular Arrhythmias or Sudden Death in Dilated Cardiomyopathy: Systematic Review and Meta-Analysis. JACC Heart Fail. 2017;5(1):28-38. doi: 10.1016/j.jchf.2016.09.017.
    » https://doi.org/10.1016/j.jchf.2016.09.017
  • 434 Arbelo E, Protonotarios A, Gimeno JR, Arbustini E, Barriales-Villa R, Basso C, et al. 2023 ESC Guidelines for the Management of Cardiomyopathies. Eur Heart J. 2023;44(37):3503-626. doi: 10.1093/eurheartj/ehad194.
    » https://doi.org/10.1093/eurheartj/ehad194
  • 435 Taylor AJ, Salerno M, Dharmakumar R, Jerosch-Herold M. T1 Mapping: Basic Techniques and Clinical Applications. JACC Cardiovasc Imaging. 2016;9(1):67-81. doi: 10.1016/j.jcmg.2015.11.005.
    » https://doi.org/10.1016/j.jcmg.2015.11.005
  • 436 Martinez-Naharro A, Patel R, Kotecha T, Karia N, Ioannou A, Petrie A, et al. Cardiovascular Magnetic Resonance in Light-chain Amyloidosis to Guide Treatment. Eur Heart J. 2022;43(45):4722-35. doi: 10.1093/eurheartj/ehac363.
    » https://doi.org/10.1093/eurheartj/ehac363
  • 437 Ferreira VM, Schulz-Menger J, Holmvang G, Kramer CM, Carbone I, Sechtem U, et al. Cardiovascular Magnetic Resonance in Nonischemic Myocardial Inflammation: Expert Recommendations. J Am Coll Cardiol. 2018;72(24):3158-76. doi: 10.1016/j.jacc.2018.09.072.
    » https://doi.org/10.1016/j.jacc.2018.09.072
  • 438 Wheen P, Armstrong R, Daly CA. Recent Advances in T1 and T2 Mapping in the Assessment of Fulminant Myocarditis by Cardiac Magnetic Resonance. Curr Cardiol Rep. 2020;22(7):47. doi: 10.1007/s11886-020-01295-0.
    » https://doi.org/10.1007/s11886-020-01295-0
  • 439 Lurz P, Luecke C, Eitel I, Föhrenbach F, Frank C, Grothoff M, et al. Comprehensive Cardiac Magnetic Resonance Imaging in Patients with Suspected Myocarditis: The MyoRacer-Trial. J Am Coll Cardiol. 2016;67(15):1800-11. doi: 10.1016/j.jacc.2016.02.013.
    » https://doi.org/10.1016/j.jacc.2016.02.013
  • 440 Ferreira VM, Piechnik SK, Dall'Armellina E, Karamitsos TD, Francis JM, Ntusi N, et al. Native T1-mapping Detects the Location, Extent and Patterns of Acute Myocarditis without the Need for Gadolinium Contrast Agents. J Cardiovasc Magn Reson. 2014;16(1):36. doi: 10.1186/1532-429X-16-36.
    » https://doi.org/10.1186/1532-429X-16-36
  • 441 Ferreira VM, Piechnik SK, Dall'Armellina E, Karamitsos TD, Francis JM, Ntusi N, et al. T(1) Mapping for the Diagnosis of Acute Myocarditis Using CMR: Comparison to T2-weighted and Late Gadolinium Enhanced Imaging. JACC Cardiovasc Imaging. 2013;6(10):1048-58. doi: 10.1016/j.jcmg.2013.03.008.
    » https://doi.org/10.1016/j.jcmg.2013.03.008
  • 442 Neisius U, El-Rewaidy H, Nakamori S, Rodriguez J, Manning WJ, Nezafat R. Radiomic Analysis of Myocardial Native T1 Imaging Discriminates Between Hypertensive Heart Disease and Hypertrophic Cardiomyopathy. JACC Cardiovasc Imaging. 2019;12(10):1946-54. doi: 10.1016/j.jcmg.2018.11.024.
    » https://doi.org/10.1016/j.jcmg.2018.11.024
  • 443 Karur GR, Robison S, Iwanochko RM, Morel CF, Crean AM, Thavendiranathan P, et al. Use of Myocardial T1 Mapping at 3.0 T to Differentiate Anderson-Fabry Disease from Hypertrophic Cardiomyopathy. Radiology. 2018;288(2):398-406. doi: 10.1148/radiol.2018172613.
    » https://doi.org/10.1148/radiol.2018172613
  • 444 Aikawa Y, Noguchi T, Morita Y, Tateishi E, Kono A, Miura H, et al. Clinical Impact of Native T1 Mapping for Detecting Myocardial Impairment in Takotsubo Cardiomyopathy. Eur Heart J Cardiovasc Imaging. 2019;20(10):1147-55. doi: 10.1093/ehjci/jez034.
    » https://doi.org/10.1093/ehjci/jez034
  • 445 Dall'Armellina E, Piechnik SK, Ferreira VM, Si QL, Robson MD, Francis JM, et al. Cardiovascular Magnetic Resonance by Non Contrast T1-mapping Allows Assessment 6;14(1):15. doi: 10.1186/1532-429X-14-15.
    » https://doi.org/10.1186/1532-429X-14-15
  • 446 h-Ici DO, Jeuthe S, Al-Wakeel N, Berger F, Kuehne T, Kozerke S, et al. T1 Mapping in Ischaemic Heart Disease. Eur Heart J Cardiovasc Imaging. 2014;15(6):597-602. doi: 10.1093/ehjci/jeu024.
    » https://doi.org/10.1093/ehjci/jeu024
  • 447 Sado DM, White SK, Piechnik SK, Banypersad SM, Treibel T, Captur G, et al. Identification and Assessment of Anderson-Fabry Disease by Cardiovascular Magnetic Resonance Noncontrast Myocardial T1 Mapping. Circ Cardiovasc Imaging. 2013;6(3):392-8. doi: 10.1161/CIRCIMAGING.112.000070.
    » https://doi.org/10.1161/CIRCIMAGING.112.000070
  • 448 Sado DM, Maestrini V, Piechnik SK, Banypersad SM, White SK, Flett AS, et al. Noncontrast Myocardial T1 Mapping Using Cardiovascular Magnetic Resonance for Iron Overload. J Magn Reson Imaging. 2015;41(6):1505-11. doi: 10.1002/jmri.24727.
    » https://doi.org/10.1002/jmri.24727
  • 449 Puntmann VO, Voigt T, Chen Z, Mayr M, Karim R, Rhode K, et al. Native T1 Mapping in Differentiation of Normal Myocardium from Diffuse Disease in Hypertrophic and Dilated Cardiomyopathy. JACC Cardiovasc Imaging. 2013;6(4):475-84. doi: 10.1016/j.jcmg.2012.08.019.
    » https://doi.org/10.1016/j.jcmg.2012.08.019
  • 450 Li Y, Liu X, Yang F, Wang J, Xu Y, Fang T, et al. Prognostic Value of Myocardial Extracellular Volume Fraction Evaluation Based on Cardiac Magnetic Resonance T1 Mapping with T1 Long and Short in Hypertrophic Cardiomyopathy. Eur Radiol. 2021;31(7):4557-67. doi: 10.1007/s00330-020-07650-7.
    » https://doi.org/10.1007/s00330-020-07650-7
  • 451 Dastidar AG, Harries I, Pontecorboli G, Bruno VD, De Garate E, Moret C, et al. Native T1 Mapping to Detect Extent of Acute and Chronic Myocardial Infarction: Comparison with Late Gadolinium Enhancement Technique. Int J Cardiovasc Imaging. 2019;35(3):517-27. doi: 10.1007/s10554-018-1467-1.
    » https://doi.org/10.1007/s10554-018-1467-1
  • 452 Sado DM, Flett AS, Banypersad SM, White SK, Maestrini V, Quarta G, et al. Cardiovascular Magnetic Resonance Measurement of Myocardial Extracellular Volume in Health and Disease. Heart. 2012;98(19):1436-41. doi: 10.1136/heartjnl-2012-302346.
    » https://doi.org/10.1136/heartjnl-2012-302346
  • 453 Puntmann VO, Zeiher AM, Nagel E. T1 and T2 Mapping in Myocarditis: Seeing Beyond the Horizon of Lake Louise Criteria and Histopathology. Expert Rev Cardiovasc Ther. 2018;16(5):319-30. doi: 10.1080/14779072.2018.1455499.
    » https://doi.org/10.1080/14779072.2018.1455499
  • 454 Puntmann VO, Carerj ML, Wieters I, Fahim M, Arendt C, Hoffmann J, et al. Outcomes of Cardiovascular Magnetic Resonance Imaging in Patients Recently Recovered From Coronavirus Disease 2019 (COVID-19). JAMA Cardiol. 2020;5(11):1265-73. doi: 10.1001/jamacardio.2020.3557.
    » https://doi.org/10.1001/jamacardio.2020.3557
  • 455 Dungu JN, Valencia O, Pinney JH, Gibbs SD, Rowczenio D, Gilbertson JA, et al. CMR-based Differentiation of AL and ATTR Cardiac Amyloidosis. JACC Cardiovasc Imaging. 2014;7(2):133-42. doi: 10.1016/j.jcmg.2013.08.015.
    » https://doi.org/10.1016/j.jcmg.2013.08.015
  • 456 Banypersad SM, Sado DM, Flett AS, Gibbs SD, Pinney JH, Maestrini V, et al. Quantification of Myocardial Extracellular Volume Fraction in Systemic AL Amyloidosis: an Equilibrium Contrast Cardiovascular Magnetic Resonance Study. Circ Cardiovasc Imaging. 2013;6(1):34-9. doi: 10.1161/CIRCIMAGING.112.978627.
    » https://doi.org/10.1161/CIRCIMAGING.112.978627
  • 457 Tang CX, Petersen SE, Sanghvi MM, Lu GM, Zhang LJ. Cardiovascular Magnetic Resonance Imaging for Amyloidosis: The State-of-the-art. Trends Cardiovasc Med. 2019;29(2):83-94. doi: 10.1016/j.tcm.2018.06.011.
    » https://doi.org/10.1016/j.tcm.2018.06.011
  • 458 Karamitsos TD, Piechnik SK, Banypersad SM, Fontana M, Ntusi NB, Ferreira VM, et al. Noncontrast T1 Mapping for the Diagnosis of Cardiac Amyloidosis. JACC Cardiovasc Imaging. 2013;6(4):488-97. doi: 10.1016/j.jcmg.2012.11.013.
    » https://doi.org/10.1016/j.jcmg.2012.11.013
  • 459 Pica S, Sado DM, Maestrini V, Fontana M, White SK, Treibel T, et al. Reproducibility of Native Myocardial T1 Mapping in the Assessment of Fabry Disease and its Role in Early Detection of Cardiac Involvement by Cardiovascular Magnetic Resonance. J Cardiovasc Magn Reson. 2014;16(1):99. doi: 10.1186/s12968-014-0099-4.
    » https://doi.org/10.1186/s12968-014-0099-4
  • 460 Torlasco C, Cassinerio E, Roghi A, Faini A, Capecchi M, Abdel-Gadir A, et al. Role of T1 Mapping as a Complementary Tool to T2* for Non-invasive Cardiac Iron Overload Assessment. PLoS One. 2018;13(2):e0192890. doi: 10.1371/journal.pone.0192890.
    » https://doi.org/10.1371/journal.pone.0192890
  • 461 Alam MH, Auger D, Smith GC, He T, Vassiliou V, Baksi AJ, et al. T1 at 1.5T and 3T Compared with Conventional T2* at 1.5T for Cardiac Siderosis. J Cardiovasc Magn Reson. 2015;17:102. doi: 10.1186/s12968-015-0207-0.
    » https://doi.org/10.1186/s12968-015-0207-0
  • 462 Camargo GC, Rothstein T, Junqueira FP, Fernandes E, Greiser A, Strecker R, et al. Comparison of Myocardial T1 and T2 Values in 3 T with T2* in 1.5 T in Patients with Iron Overload and Controls. Int J Hematol. 2016;103(5):530-6. doi: 10.1007/s12185-016-1950-1.
    » https://doi.org/10.1007/s12185-016-1950-1
  • 463 Varnava AM, Elliott PM, Sharma S, McKenna WJ, Davies MJ. Hypertrophic Cardiomyopathy: The Interrelation of Disarray, Fibrosis, and Small Vessel Disease. Heart. 2000;84(5):476-82. doi: 10.1136/heart.84.5.476.
    » https://doi.org/10.1136/heart.84.5.476
  • 464 Puntmann VO, Peker E, Chandrashekhar Y, Nagel E. T1 Mapping in Characterizing Myocardial Disease: A Comprehensive Review. Circ Res. 2016;119(2):277-99. doi: 10.1161/CIRCRESAHA.116.307974.
    » https://doi.org/10.1161/CIRCRESAHA.116.307974
  • 465 Xu J, Zhuang B, Sirajuddin A, Li S, Huang J, Yin G, et al. MRI T1 Mapping in Hypertrophic Cardiomyopathy: Evaluation in Patients without Late Gadolinium Enhancement and Hemodynamic Obstruction. Radiology. 2020;294(2):275-86. doi: 10.1148/radiol.2019190651.
    » https://doi.org/10.1148/radiol.2019190651
  • 466 Cui Q, Yu J, Ge X, Gao G, Liu Y, Shen W. T1 Mapping and Late Gadolinium Enhancement for the Diagnosis of Dilated Cardiomyopathy. Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2020;32(12):1506-10. doi: 10.3760/cma.j.cn121430-20200413-00287.
    » https://doi.org/10.3760/cma.j.cn121430-20200413-00287
  • 467 aus dem Siepen F, Buss SJ, Messroghli D, Andre F, Lossnitzer D, Seitz S, et al. T1 Mapping in Dilated Cardiomyopathy with Cardiac Magnetic Resonance: Quantification of Diffuse Myocardial Fibrosis and Comparison with Endomyocardial Biopsy. Eur Heart J Cardiovasc Imaging. 2015;16(2):210-6. doi: 10.1093/ehjci/jeu183.
    » https://doi.org/10.1093/ehjci/jeu183
  • 468 Kiaos A, Antonakaki D, Bazmpani MA, Karvounis C, Rimoldi O, Karamitsos TD. Prognostic Value of Cardiovascular Magnetic Resonance T1 Mapping Techniques in Non-ischemic Dilated Cardiomyopathy: A Systematic Review and Meta-analysis. Int J Cardiol. 2020;312:110-6. doi: 10.1016/j.ijcard.2020.04.052.
    » https://doi.org/10.1016/j.ijcard.2020.04.052
  • 469 Pan JA, Kerwin MJ, Salerno M. Native T1 Mapping, Extracellular Volume Mapping, and Late Gadolinium Enhancement in Cardiac Amyloidosis: A Meta-Analysis. JACC Cardiovasc Imaging. 2020;13(6):1299-310. doi: 10.1016/j.jcmg.2020.03.010.
    » https://doi.org/10.1016/j.jcmg.2020.03.010
  • 470 Wang TKM, Brizneda MV, Kwon DH, Popovic ZB, Flamm SD, Hanna M, et al. Reference Ranges, Diagnostic and Prognostic Utility of Native T1 Mapping and Extracellular Volume for Cardiac Amyloidosis: A Meta-Analysis. J Magn Reson Imaging. 2021;53(5):1458-68. doi: 10.1002/jmri.27459.
    » https://doi.org/10.1002/jmri.27459
  • 471 Veríssimo MP, Loggetto SR, Fabron A Jr, Baldanzi GR, Hamerschlak N, Fernandes JL, et al. Brazilian Thalassemia Association Protocol for Iron Chelation Therapy in Patients Under Regular Transfusion. Rev Bras Hematol Hemoter. 2013;35(6):428-34. doi: 10.5581/1516-8484.20130106.
    » https://doi.org/10.5581/1516-8484.20130106
  • 472 Pepe A, Meloni A, Rossi G, Midiri M, Missere M, Valeri G, et al. Prediction of Cardiac Complications for Thalassemia Major in the Widespread Cardiac Magnetic Resonance Era: A Prospective Multicentre Study by a Multi-parametric Approach. Eur Heart J Cardiovasc Imaging. 2018;19(3):299-309. doi: 10.1093/ehjci/jex012.
    » https://doi.org/10.1093/ehjci/jex012
  • 473 Casale M, Meloni A, Filosa A, Cuccia L, Caruso V, Palazzi G, et al. Multiparametric Cardiac Magnetic Resonance Survey in Children with Thalassemia Major: A Multicenter Study. Circ Cardiovasc Imaging. 2015;8(8):e003230. doi: 10.1161/CIRCIMAGING.115.003230.
    » https://doi.org/10.1161/CIRCIMAGING.115.003230
  • 474 Meloni A, Positano V, Ruffo GB, Spasiano A, D'Ascola DG, Peluso A, et al. Improvement of Heart Iron with Preserved Patterns of Iron Store by CMR-guided Chelation Therapy. Eur Heart J Cardiovasc Imaging. 2015;16(3):325-34. doi: 10.1093/ehjci/jeu191.
    » https://doi.org/10.1093/ehjci/jeu191
  • 475 Meloni A, Martini N, Positano V, De Luca A, Pistoia L, Sbragi Set al. Myocardial Iron Overload by Cardiovascular Magnetic Resonance Native Segmental T1 Mapping: A Sensitive Approach That Correlates with Cardiac Complications. J Cardiovasc Magn Reson. 2021;23(1):70. doi: 10.1186/s12968-021-00765-w.
    » https://doi.org/10.1186/s12968-021-00765-w
  • 476 Kozor R, Nordin S, Treibel TA, Rosmini S, Castelletti S, Fontana M, et al. Insight Into Hypertrophied Hearts: A Cardiovascular Magnetic Resonance Study of Papillary Muscle Mass and T1 Mapping. Eur Heart J Cardiovasc Imaging. 2017;18(9):1034-40. doi: 10.1093/ehjci/jew187.
    » https://doi.org/10.1093/ehjci/jew187
  • 477 Moon JC, Messroghli DR, Kellman P, Piechnik SK, Robson MD, Ugander M, et al. Myocardial T1 Mapping and Extracellular Volume Quantification: A Society for Cardiovascular Magnetic Resonance (SCMR) and CMR Working Group of the European Society of Cardiology Consensus Statement. J Cardiovasc Magn Reson. 2013;15(1):92. doi: 10.1186/1532-429X-15-92.
    » https://doi.org/10.1186/1532-429X-15-92
  • 478 Hung CL, Wu YW, Lin CC, Lai CH, Juang JJM, Chao TH, et al. 2021 TSOC Expert Consensus on the Clinical Features, Diagnosis, and Clinical Management of Cardiac Manifestations of Fabry Disease. Acta Cardiol Sin. 2021;37(4):337-54. doi: 10.6515/ACS.202107_37(4).20210601A.
    » https://doi.org/10.6515/ACS.202107_37(4).20210601A
  • 479 Luetkens JA, Homsi R, Dabir D, Kuetting DL, Marx C, Doerner J, et al. Comprehensive Cardiac Magnetic Resonance for Short-Term Follow-Up in Acute Myocarditis. J Am Heart Assoc. 2016;5(7):e003603. doi: 10.1161/JAHA.116.003603.
    » https://doi.org/10.1161/JAHA.116.003603
  • 480 Cadour F, Quemeneur M, Biere L, Donal E, Bentatou Z, Eicher JC, et al. Prognostic Value of Cardiovascular Magnetic Resonance T1 Mapping and Extracellular Volume Fraction in Nonischemic Dilated Cardiomyopathy. J Cardiovasc Magn Reson. 2023;25(1):7. doi: 10.1186/s12968-023-00919-y.
    » https://doi.org/10.1186/s12968-023-00919-y
  • 481 Kitagawa T, Tatsugami F, Yokomachi K, Akiyama Y, Fujii Y, Awai K, et al. Native Myocardial T1 Value in Predicting 1-Year Outcomes in Patients with Nonischemic Dilated Cardiomyopathy Experiencing Recent Heart Failure. Int Heart J. 2022;63(3):531-40. doi: 10.1536/ihj.21-801.
    » https://doi.org/10.1536/ihj.21-801
  • 482 Li Y, Xu Y, Li W, Guo J, Wan K, Wang J, et al. Cardiac MRI to Predict Sudden Cardiac Death Risk in Dilated Cardiomyopathy. Radiology. 2023;307(3):e222552. doi: 10.1148/radiol.222552.
    » https://doi.org/10.1148/radiol.222552
  • 483 Heidenreich PA, Bozkurt B, Aguilar D, Allen LA, Byun JJ, Colvin MM, et al. 2022 AHA/ACC/HFSA Guideline for the Management of Heart Failure: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation. 2022;145(18):895-1032. doi: 10.1161/CIR.0000000000001063.
    » https://doi.org/10.1161/CIR.0000000000001063
  • 484 El-Rewaidy H, Neisius U, Nakamori S, Ngo L, Rodriguez J, Manning WJ, et al. Characterization of Interstitial Diffuse Fibrosis Patterns Using Texture Analysis of Myocardial Native T1 Mapping. PLoS One. 2020;15(6):e0233694. doi: 10.1371/journal.pone.0233694.
    » https://doi.org/10.1371/journal.pone.0233694
  • 485 Versteegh MI, Lamb HJ, Bax JJ, Curiel FB, van der Wall EE, de Roos A, et al. MRI Evaluation of Left Ventricular Function in Anterior LV Aneurysms Before and after Surgical Resection. Eur J Cardiothorac Surg. 2003;23(4):609-13. doi: 10.1016/s1010-7940(03)00002-2.
    » https://doi.org/10.1016/s1010-7940(03)00002-2
  • 486 Hoffmann R, von Bardeleben S, Kasprzak JD, Borges AC, ten Cate F, Firschke C, et al. Analysis of Regional Left Ventricular Function by Cineventriculography, Cardiac Magnetic Resonance Imaging, and Unenhanced and Contrast-enhanced Echocardiography: A Multicenter Comparison of Methods. J Am Coll Cardiol. 2006;47(1):121-8. doi: 10.1016/j.jacc.2005.10.012.
    » https://doi.org/10.1016/j.jacc.2005.10.012
  • 487 Pennell DJ, Sechtem UP, Higgins CB, Manning WJ, Pohost GM, Rademakers FE, et al. Clinical Indications for Cardiovascular Magnetic Resonance (CMR): Consensus Panel Report. Eur Heart J. 2004;25(21):1940-65. doi: 10.1016/j.ehj.2004.06.040.
    » https://doi.org/10.1016/j.ehj.2004.06.040
  • 488 Hendel RC, Patel MR, Kramer CM, Poon M, Hendel RC, Carr JC, et al. ACCF/ACR/SCCT/SCMR/ASNC/NASCI/SCAI/SIR 2006 Appropriateness Criteria for Cardiac Computed Tomography and Cardiac Magnetic Resonance Imaging: A Report of the American College of Cardiology Foundation Quality Strategic Directions Committee Appropriateness Criteria Working Group, American College of Radiology, Society of Cardiovascular Computed Tomography, Society for Cardiovascular Magnetic Resonance, American Society of Nuclear Cardiology, North American Society for Cardiac Imaging, Society for Cardiovascular Angiography and Interventions, and Society of Interventional Radiology. J Am Coll Cardiol. 2006;48(7):1475-97. doi: 10.1016/j.jacc.2006.07.003.
    » https://doi.org/10.1016/j.jacc.2006.07.003
  • 489 Paetsch I, Jahnke C, Wahl A, Gebker R, Neuss M, Fleck E, et al. Comparison of Dobutamine Stress Magnetic Resonance, Adenosine Stress Magnetic Resonance, and Adenosine Stress Magnetic Resonance Perfusion. Circulation. 2004;110(7):835-42. doi: 10.1161/01.CIR.0000138927.00357.FB.
    » https://doi.org/10.1161/01.CIR.0000138927.00357.FB
  • 490 Baer FM, Voth E, Theissen P, Schneider CA, Schicha H, Sechtem U. Coronary Artery Disease: Findings with GRE MR Imaging and Tc-99m-methoxyisobutyl-isonitrile SPECT During Simultaneous Dobutamine Stress. Radiology. 1994;193(1):203-9. doi: 10.1148/radiology.193.1.8090892.
    » https://doi.org/10.1148/radiology.193.1.8090892
  • 491 Baer FM, Voth E, Theissen P, Schicha H, Sechtem U. Gradient-echo Magnetic Resonance Imaging During Incremental Dobutamine Infusion for the Localization of Coronary Artery Stenoses. Eur Heart J. 1994;15(2):218-25. doi: 10.1093/oxfordjournals.eurheartj.a060479.
    » https://doi.org/10.1093/oxfordjournals.eurheartj.a060479
  • 492 Cury RC, Cattani CA, Gabure LA, Racy DJ, de Gois JM, Siebert U, et al. Diagnostic Performance of Stress Perfusion and Delayed-enhancement MR Imaging in Patients with Coronary Artery Disease. Radiology. 2006;240(1):39-45. doi: 10.1148/radiol.2401051161.
    » https://doi.org/10.1148/radiol.2401051161
  • 493 Schwitter J, Nanz D, Kneifel S, Bertschinger K, Büchi M, Knüsel PR, et al. Assessment of Myocardial Perfusion in Coronary Artery Disease by Magnetic Resonance: A Comparison with Positron Emission Tomography and Coronary Angiography. Circulation. 2001;103(18):2230-5. doi: 10.1161/01.cir.103.18.2230.
    » https://doi.org/10.1161/01.cir.103.18.2230
  • 494 Schwitter J, Wacker CM, van Rossum AC, Lombardi M, Al-Saadi N, Ahlstrom H, et al. MR-IMPACT: Comparison of Perfusion-cardiac Magnetic Resonance with Single-photon Emission Computed Tomography for the Detection of Coronary Artery Disease in a Multicentre, Multivendor, Randomized Trial. Eur Heart J. 2008;29(4):480-9. doi: 10.1093/eurheartj/ehm617.
    » https://doi.org/10.1093/eurheartj/ehm617
  • 495 Nandalur KR, Dwamena BA, Choudhri AF, Nandalur MR, Carlos RC. Diagnostic Performance of Stress Cardiac Magnetic Resonance Imaging in the Detection of Coronary Artery Disease: A Meta-analysis. J Am Coll Cardiol. 2007;50(14):1343-53. doi: 10.1016/j.jacc.2007.06.030.
    » https://doi.org/10.1016/j.jacc.2007.06.030
  • 496 Hamon M, Fau G, Née G, Ehtisham J, Morello R, Hamon M. Meta-analysis of the Diagnostic Performance of Stress Perfusion Cardiovascular Magnetic Resonance for Detection of Coronary Artery Disease. J Cardiovasc Magn Reson. 2010;12(1):29. doi: 10.1186/1532-429X-12-29.
    » https://doi.org/10.1186/1532-429X-12-29
  • 497 Schwitter J, Wacker CM, Wilke N, Al-Saadi N, Sauer E, Huettle K, et al. Superior Diagnostic Performance of Perfusion-cardiovascular Magnetic Resonance Versus SPECT to Detect Coronary Artery Disease: The Secondary Endpoints of the Multicenter Multivendor MR-IMPACT II (Magnetic Resonance Imaging for Myocardial Perfusion Assessment in Coronary Artery Disease Trial). J Cardiovasc Magn Reson. 2012;14(1):61. doi: 10.1186/1532-429X-14-61.
    » https://doi.org/10.1186/1532-429X-14-61
  • 498 Nagel E, Greenwood JP, McCann GP, Bettencourt N, Shah AM, Hussain ST, et al. Magnetic Resonance Perfusion or Fractional Flow Reserve in Coronary Disease. N Engl J Med. 2019;380(25):2418-28. doi: 10.1056/NEJMoa1716734.
    » https://doi.org/10.1056/NEJMoa1716734
  • 499 Kwong RY, Ge Y, Steel K, Bingham S, Abdullah S, Fujikura K, et al. Cardiac Magnetic Resonance Stress Perfusion Imaging for Evaluation of Patients with Chest Pain. J Am Coll Cardiol. 2019;74(14):1741-55. doi: 10.1016/j.jacc.2019.07.074.
    » https://doi.org/10.1016/j.jacc.2019.07.074
  • 500 Charoenpanichkit C, Hundley WG. The 20 Year Evolution of Dobutamine Stress Cardiovascular Magnetic Resonance. J Cardiovasc Magn Reson. 2010;12(1):59. doi: 10.1186/1532-429X-12-59.
    » https://doi.org/10.1186/1532-429X-12-59
  • 501 Nagel E, Lorenz C, Baer F, Hundley WG, Wilke N, Neubauer S, et al. Stress Cardiovascular Magnetic Resonance: Consensus Panel Report. J Cardiovasc Magn Reson. 2001;3(3):267-81. doi: 10.1081/jcmr-100107475.
    » https://doi.org/10.1081/jcmr-100107475
  • 502 Wahl A, Paetsch I, Gollesch A, Roethemeyer S, Foell D, Gebker R, et al. Safety and Feasibility of High-dose Dobutamine-atropine Stress Cardiovascular Magnetic Resonance for Diagnosis of Myocardial Ischaemia: Experience in 1000 Consecutive Cases. Eur Heart J. 2004;25(14):1230-6. doi: 10.1016/j.ehj.2003.11.018.
    » https://doi.org/10.1016/j.ehj.2003.11.018
  • 503 van Rugge FP, van der Wall EE, Spanjersberg SJ, de Roos A, Matheijssen NA, Zwinderman AH, et al. Magnetic Resonance Imaging During Dobutamine Stress for Detection and Localization of Coronary Artery Disease. Quantitative Wall Motion Analysis Using a Modification of the Centerline Method. Circulation. 1994;90(1):127-38. doi: 10.1161/01.cir.90.1.127.
    » https://doi.org/10.1161/01.cir.90.1.127
  • 504 Hundley WG, Morgan TM, Neagle CM, Hamilton CA, Rerkpattanapipat P, Link KM. Magnetic Resonance Imaging Determination of Cardiac Prognosis. Circulation. 2002;106(18):2328-33. doi: 10.1161/01.cir.0000036017.46437.02.
    » https://doi.org/10.1161/01.cir.0000036017.46437.02
  • 505 Korosoglou G, Elhmidi Y, Steen H, Schellberg D, Riedle N, Ahrens J, et al. Prognostic Value of High-dose Dobutamine Stress Magnetic Resonance Imaging in 1,493 Consecutive Patients: Assessment of Myocardial Wall Motion and Perfusion. J Am Coll Cardiol. 2010;56(15):1225-34. doi: 10.1016/j.jacc.2010.06.020.
    » https://doi.org/10.1016/j.jacc.2010.06.020
  • 506 Jahnke C, Nagel E, Gebker R, Kokocinski T, Kelle S, Manka R, et al. Prognostic Value of Cardiac Magnetic Resonance Stress Tests: Adenosine Stress Perfusion and Dobutamine Stress Wall Motion Imaging. Circulation. 2007;115(13):1769-76. doi: 10.1161/CIRCULATIONAHA.106.652016.
    » https://doi.org/10.1161/CIRCULATIONAHA.106.652016
  • 507 Wallace EL, Morgan TM, Walsh TF, Dall'Armellina E, Ntim W, Hamilton CA, et al. Dobutamine Cardiac Magnetic Resonance Results Predict Cardiac Prognosis in Women with Known or Suspected Ischemic Heart Disease. JACC Cardiovasc Imaging. 2009;2(3):299-307. doi: 10.1016/j.jcmg.2008.10.015.
    » https://doi.org/10.1016/j.jcmg.2008.10.015
  • 508 Schwitter J, Wacker CM, Wilke N, Al-Saadi N, Sauer E, Huettle K, et al. MR-IMPACT II: Magnetic Resonance Imaging for Myocardial Perfusion Assessment in Coronary Artery Disease Trial: Perfusion-cardiac Magnetic Resonance vs. Single-photon Emission Computed Tomography for the Detection of Coronary Artery Disease: A Comparative Multicentre, Multivendor Trial. Eur Heart J. 2013;34(10):775-81. doi: 10.1093/eurheartj/ehs022.
    » https://doi.org/10.1093/eurheartj/ehs022
  • 509 Kuijpers D, Janssen CH, van Dijkman PR, Oudkerk M. Dobutamine Stress MRI. Part I. Safety and Feasibility of Dobutamine Cardiovascular Magnetic Resonance in Patients Suspected of Myocardial Ischemia. Eur Radiol. 2004;14(10):1823-8. doi: 10.1007/s00330-004-2425-y.
    » https://doi.org/10.1007/s00330-004-2425-y
  • 510 Foley JRJ, Kidambi A, Biglands JD, Maredia N, Dickinson CJ, Plein S, et al. A Comparison of Cardiovascular Magnetic Resonance and Single Photon Emission Computed Tomography (SPECT) Perfusion Imaging in Left Main Stem or Equivalent Coronary Artery Disease: A CE-MARC Substudy. J Cardiovasc Magn Reson. 2017;19(1):84. doi: 10.1186/s12968-017-0398-7.
    » https://doi.org/10.1186/s12968-017-0398-7
  • 511 Mordini FE, Haddad T, Hsu LY, Kellman P, Lowrey TB, Aletras AH, et al. Diagnostic Accuracy of Stress Perfusion CMR in Comparison with Quantitative Coronary Angiography: Fully Quantitative, Semiquantitative, and Qualitative Assessment. JACC Cardiovasc Imaging. 2014;7(1):14-22. doi: 10.1016/j.jcmg.2013.08.014.
    » https://doi.org/10.1016/j.jcmg.2013.08.014
  • 512 Heilmaier C, Bruder O, Meier F, Jochims M, Forsting M, Sabin GV, et al. Dobutamine Stress Cardiovascular Magnetic Resonance Imaging in Patients after Invasive Coronary Revascularization with Stent Placement. Acta Radiol. 2009;50(10):1134-41. doi: 10.3109/02841850903216692.
    » https://doi.org/10.3109/02841850903216692
  • 513 Kotecha T, Martinez-Naharro A, Boldrini M, Knight D, Hawkins P, Kalra S, et al. Automated Pixel-Wise Quantitative Myocardial Perfusion Mapping by CMR to Detect Obstructive Coronary Artery Disease and Coronary Microvascular Dysfunction: Validation Against Invasive Coronary Physiology. JACC Cardiovasc Imaging. 2019;12(10):1958-69. doi: 10.1016/j.jcmg.2018.12.022.
    » https://doi.org/10.1016/j.jcmg.2018.12.022
  • 514 Reynolds HR, Diaz A, Cyr DD, Shaw LJ, Mancini GBJ, Leipsic J, et al. Ischemia with Nonobstructive Coronary Arteries: Insights From the ISCHEMIA Trial. JACC Cardiovasc Imaging. 2023;16(1):63-74. doi: 10.1016/j.jcmg.2022.06.015.
    » https://doi.org/10.1016/j.jcmg.2022.06.015
  • 515 Schumann CL, Mathew RC, Dean JL, Yang Y, Balfour PC Jr, Shaw PW, et al. Functional and Economic Impact of INOCA and Influence of Coronary Microvascular Dysfunction. JACC Cardiovasc Imaging. 2021;14(7):1369-79. doi: 10.1016/j.jcmg.2021.01.041.
    » https://doi.org/10.1016/j.jcmg.2021.01.041
  • 516 Bonow RO, Maurer G, Lee KL, Holly TA, Binkley PF, Desvigne-Nickens P, et al. Myocardial Viability and Survival in Ischemic Left Ventricular Dysfunction. N Engl J Med. 2011;364(17):1617-25. doi: 10.1056/NEJMoa1100358.
    » https://doi.org/10.1056/NEJMoa1100358
  • 517 Panza JA, Ellis AM, Al-Khalidi HR, Holly TA, Berman DS, Oh JK, et al. Myocardial Viability and Long-Term Outcomes in Ischemic Cardiomyopathy. N Engl J Med. 2019;381(8):739-48. doi: 10.1056/NEJMoa1807365.
    » https://doi.org/10.1056/NEJMoa1807365
  • 518 Gerber BL, Rousseau MF, Ahn SA, le Polain de Waroux JB, Pouleur AC, Phlips T, et al. Prognostic Value of Myocardial Viability by Delayed-enhanced Magnetic Resonance in Patients with Coronary Artery Disease and Low Ejection Fraction: Impact of Revascularization Therapy. J Am Coll Cardiol. 2012;59(9):825-35. doi: 10.1016/j.jacc.2011.09.073.
    » https://doi.org/10.1016/j.jacc.2011.09.073
  • 519 Howlett JG, Stebbins A, Petrie MC, Jhund PS, Castelvecchio S, Cherniavsky A, et al. CABG Improves Outcomes in Patients with Ischemic Cardiomyopathy: 10-Year Follow-Up of the STICH Trial. JACC Heart Fail. 2019;7(10):878-87. doi: 10.1016/j.jchf.2019.04.018.
    » https://doi.org/10.1016/j.jchf.2019.04.018
  • 520 Ryan M, Morgan H, Chiribiri A, Nagel E, Cleland J, Perera D. Myocardial Viability Testing: All STICHed up, or About to be REVIVED? Eur Heart J. 2022;43(2):118-26. doi: 10.1093/eurheartj/ehab729.
    » https://doi.org/10.1093/eurheartj/ehab729
  • 521 Doukas D, Porcaro K, Marot J, Burke L, Joyce C, Weaver F, et al. Clinical Characteristics and Outcomes of Patients with Severe Left Ventricular Dysfunction Undergoing Cardiac MRI Viability Assessment Prior to Revascularization. Int J Cardiovasc Imaging. 2021;37(2):675-84. doi: 10.1007/s10554-020-02042-w.
    » https://doi.org/10.1007/s10554-020-02042-w
  • 522 Kim SJ, Peppas A, Hong SK, Yang G, Huang Y, Diaz G, et al. Persistent Stunning Induces Myocardial Hibernation and Protection: Flow/Function and Metabolic Mechanisms. Circ Res. 2003;92(11):1233-9. doi: 10.1161/01.RES.0000076892.18394.B6.
    » https://doi.org/10.1161/01.RES.0000076892.18394.B6
  • 523 Vanoverschelde JL, Wijns W, Borgers M, Heyndrickx G, Depré C, Flameng W, Melin JA. Chronic Myocardial Hibernation in Humans. From Bedside to Bench. Circulation. 1997;95(7):1961-71. doi: 10.1161/01.cir.95.7.1961.
    » https://doi.org/10.1161/01.cir.95.7.1961
  • 524 Baer FM, Theissen P, Schneider CA, Voth E, Sechtem U, Schicha H, et al. Dobutamine Magnetic Resonance Imaging Predicts Contractile Recovery of Chronically Dysfunctional Myocardium After Successful Revascularization. J Am Coll Cardiol. 1998;31(5):1040-8. doi: 10.1016/s0735-1097(98)00032-1.
    » https://doi.org/10.1016/s0735-1097(98)00032-1
  • 525 Shah DJ, Kim HW, James O, Parker M, Wu E, Bonow RO, et al. Prevalence of Regional Myocardial Thinning and Relationship with Myocardial Scarring in Patients with Coronary Artery Disease. JAMA. 2013;309(9):909-18. doi: 10.1001/jama.2013.1381.
    » https://doi.org/10.1001/jama.2013.1381
  • 526 Weinsaft JW, Klem I, Judd RM. MRI for the Assessment of Myocardial Viability. Cardiol Clin. 2007;25(1):35-56. doi: 10.1016/j.ccl.2007.02.001.
    » https://doi.org/10.1016/j.ccl.2007.02.001
  • 527 D'Angelo T, Grigoratos C, Mazziotti S, Bratis K, Pathan F, Blandino A, et al. High-throughput Gadobutrol-enhanced CMR: A Time and Dose Optimization Study. J Cardiovasc Magn Reson. 2017;19(1):83. doi: 10.1186/s12968-017-0400-4.
    » https://doi.org/10.1186/s12968-017-0400-4
  • 528 Simonetti OP, Kim RJ, Fieno DS, Hillenbrand HB, Wu E, Bundy JM, et al. An Improved MR Imaging Technique for the Visualization of Myocardial Infarction. Radiology. 2001;218(1):215-23. doi: 10.1148/radiology.218.1.r01ja50215.
    » https://doi.org/10.1148/radiology.218.1.r01ja50215
  • 529 Kim RJ, Chen EL, Lima JA, Judd RM. Myocardial Gd-DTPA Kinetics Determine MRI Contrast Enhancement and Reflect the Extent and Severity of Myocardial Injury after Acute Reperfused Infarction. Circulation. 1996;94(12):3318-26. doi: 10.1161/01.cir.94.12.3318.
    » https://doi.org/10.1161/01.cir.94.12.3318
  • 530 Rehwald WG, Fieno DS, Chen EL, Kim RJ, Judd RM. Myocardial Magnetic Resonance Imaging Contrast Agent Concentrations after Reversible and Irreversible Ischemic Injury. Circulation. 2002;105(2):224-9. doi: 10.1161/hc0202.102016.
    » https://doi.org/10.1161/hc0202.102016
  • 531 Choi KM, Kim RJ, Gubernikoff G, Vargas JD, Parker M, Judd RM. Transmural Extent of Acute Myocardial Infarction Predicts Long-term Improvement in Contractile Function. Circulation. 2001;104(10):1101-7. doi: 10.1161/hc3501.096798.
    » https://doi.org/10.1161/hc3501.096798
  • 532 Wellnhofer E, Olariu A, Klein C, Gräfe M, Wahl A, Fleck E, et al. Magnetic Resonance Low-dose Dobutamine Test is Superior to SCAR Quantification for the Prediction of Functional Recovery. Circulation. 2004;109(18):2172-4. doi: 10.1161/01.CIR.0000128862.34201.74.
    » https://doi.org/10.1161/01.CIR.0000128862.34201.74
  • 533 Kelle S, Roes SD, Klein C, Kokocinski T, de Roos A, Fleck E, et al. Prognostic Value of Myocardial Infarct Size and Contractile Reserve Using Magnetic Resonance Imaging. J Am Coll Cardiol. 2009;54(19):1770-7. doi: 10.1016/j.jacc.2009.07.027.
    » https://doi.org/10.1016/j.jacc.2009.07.027
  • 534 Kim RJ, Shah DJ. Fundamental Concepts in Myocardial Viability Assessment Revisited: When Knowing How Much is "Alive" is Not Enough. Heart. 2004;90(2):137-40. doi: 10.1136/hrt.2003.023101.
    » https://doi.org/10.1136/hrt.2003.023101
  • 535 Kim RJ, Manning WJ. Viability Assessment by Delayed Enhancement Cardiovascular Magnetic Resonance: Will Low-dose Dobutamine Dull the Shine? Circulation. 2004;109(21):2476-9. doi: 10.1161/01.CIR.0000130730.63776.69.
    » https://doi.org/10.1161/01.CIR.0000130730.63776.69
  • 536 Baer FM, Theissen P, Crnac J, Schmidt M, Deutsch HJ, Sechtem U, et al. Head to Head Comparison of Dobutamine-transoesophageal Echocardiography and Dobutamine-magnetic Resonance Imaging for the Prediction of Left Ventricular Functional Recovery in Patients with Chronic Coronary Artery Disease. Eur Heart J. 2000;21(12):981-91. doi: 10.1053/euhj.2000.1946.
    » https://doi.org/10.1053/euhj.2000.1946
  • 537 Falcão SN, Rochitte CE, Mathias W Jr, Quaglia L, Lemos PA, Sbano JC, et al. Incremental Value of Perfusion over Wall-motion Abnormalities with the Use of Dobutamine-atropine Stress Myocardial Contrast Echocardiography and Magnetic Resonance Imaging for Detecting Coronary Artery Disease. Echocardiography. 2013;30(1):45-54. doi: 10.1111/j.1540-8175.2012.01820.x.
    » https://doi.org/10.1111/j.1540-8175.2012.01820.x
  • 538 Kaandorp TA, Lamb HJ, van der Wall EE, de Roos A, Bax JJ. Cardiovascular MR to Access Myocardial Viability in Chronic Ischaemic LV Dysfunction. Heart. 2005;91(10):1359-65. doi: 10.1136/hrt.2003.025353.
    » https://doi.org/10.1136/hrt.2003.025353
  • 539 Romero J, Xue X, Gonzalez W, Garcia MJ. CMR Imaging Assessing Viability in Patients with Chronic Ventricular Dysfunction Due to Coronary Artery Disease: A Meta-analysis of Prospective Trials. JACC Cardiovasc Imaging. 2012;5(5):494-508. doi: 10.1016/j.jcmg.2012.02.009.
    » https://doi.org/10.1016/j.jcmg.2012.02.009
  • 540 Azevedo Filho CF, Hadlich M, Petriz JL, Mendonça LA, Moll Filho JN, Rochitte CE. Quantification of Left Ventricular Infarcted Mass on Cardiac Magnetic Resonance Imaging: Comparison Between Planimetry and the Semiquantitative Visual Scoring Method. Arq Bras Cardiol. 2004;83(2):118-24. doi: 10.1590/s0066-782x2004001400003.
    » https://doi.org/10.1590/s0066-782x2004001400003
  • 541 Gerber BL, Garot J, Bluemke DA, Wu KC, Lima JA. Accuracy of Contrast-enhanced Magnetic Resonance Imaging in Predicting Improvement of Regional Myocardial Function in Patients after Acute Myocardial Infarction. Circulation. 2002;106(9):1083-9. doi: 10.1161/01.cir.0000027818.15792.1e.
    » https://doi.org/10.1161/01.cir.0000027818.15792.1e
  • 542 Gerber BL, Rochitte CE, Melin JA, McVeigh ER, Bluemke DA, Wu KC, et al. Microvascular Obstruction and Left Ventricular Remodeling Early after Acute Myocardial Infarction. Circulation. 2000;101(23):2734-41. doi: 10.1161/01.cir.101.23.2734.
    » https://doi.org/10.1161/01.cir.101.23.2734
  • 543 Rochitte CE, Lima JA, Bluemke DA, Reeder SB, McVeigh ER, Furuta T, et al. Magnitude and Time Course of Microvascular Obstruction and Tissue Injury after Acute Myocardial Infarction. Circulation. 1998;98(10):1006-14. doi: 10.1161/01.cir.98.10.1006.
    » https://doi.org/10.1161/01.cir.98.10.1006
  • 544 Wu KC, Kim RJ, Bluemke DA, Rochitte CE, Zerhouni EA, Becker LC, et al. Quantification and Time Course of Microvascular Obstruction by Contrast-enhanced Echocardiography and Magnetic Resonance Imaging Following Acute Myocardial Infarction and Reperfusion. J Am Coll Cardiol. 1998;32(6):1756-64. doi: 10.1016/s0735-1097(98)00429-x.
    » https://doi.org/10.1016/s0735-1097(98)00429-x
  • 545 Dall'Armellina E, Karia N, Lindsay AC, Karamitsos TD, Ferreira V, Robson MD, et al. Dynamic Changes of Edema and Late Gadolinium Enhancement after Acute Myocardial Infarction and Their Relationship to Functional Recovery and Salvage Index. Circ Cardiovasc Imaging. 2011;4(3):228-36. doi: 10.1161/CIRCIMAGING.111.963421.
    » https://doi.org/10.1161/CIRCIMAGING.111.963421
  • 546 Chareonthaitawee P, Gersh BJ, Araoz PA, Gibbons RJ. Revascularization in Severe Left Ventricular Dysfunction: The Role of Viability Testing. J Am Coll Cardiol. 2005;46(4):567-74. doi: 10.1016/j.jacc.2005.03.072.
    » https://doi.org/10.1016/j.jacc.2005.03.072
  • 547 Wagner A, Mahrholdt H, Sechtem U, Kim RJ, Judd RM. MR Imaging of Myocardial Perfusion and Viability. Magn Reson Imaging Clin N Am. 2003;11(1):49-66. doi: 10.1016/s1064-9689(02)00048-x.
    » https://doi.org/10.1016/s1064-9689(02)00048-x
  • 548 Kühl HP, Beek AM, van der Weerdt AP, Hofman MB, Visser CA, Lammertsma AA, et al. Myocardial Viability in Chronic Ischemic Heart Disease: Comparison of Contrast-enhanced Magnetic Resonance Imaging with (18)F-fluorodeoxyglucose Positron Emission Tomography. J Am Coll Cardiol. 2003;41(8):1341-8. doi: 10.1016/s0735-1097(03)00158-x.
    » https://doi.org/10.1016/s0735-1097(03)00158-x
  • 549 Bodí V, Sanchis J, López-Lereu MP, Losada A, Núñez J, Pellicer M, et al. Usefulness of a Comprehensive Cardiovascular Magnetic Resonance Imaging Assessment for Predicting Recovery of Left Ventricular Wall Motion in the Setting of Myocardial Stunning. J Am Coll Cardiol. 2005;46(9):1747-52. doi: 10.1016/j.jacc.2005.07.039.
    » https://doi.org/10.1016/j.jacc.2005.07.039
  • 550 Knuesel PR, Nanz D, Wyss C, Buechi M, Kaufmann PA, von Schulthess GK, et al. Characterization of Dysfunctional Myocardium by Positron Emission Tomography and Magnetic Resonance: Relation to Functional Outcome after Revascularization. Circulation. 2003;108(9):1095-100. doi: 10.1161/01.CIR.0000085993.93936.BA.
    » https://doi.org/10.1161/01.CIR.0000085993.93936.BA
  • 551 Schvartzman PR, Srichai MB, Grimm RA, Obuchowski NA, Hammer DF, McCarthy PM, et al. Nonstress Delayed-enhancement Magnetic Resonance Imaging of the Myocardium Predicts Improvement of Function after Revascularization for Chronic Ischemic Heart Disease with Left Ventricular Dysfunction. Am Heart J. 2003;146(3):535-41. doi: 10.1016/S0002-8703(03)00318-1.
    » https://doi.org/10.1016/S0002-8703(03)00318-1
  • 552 Allman KC, Shaw LJ, Hachamovitch R, Udelson JE. Myocardial Viability Testing and Impact of Revascularization on Prognosis in Patients with Coronary Artery Disease and Left Ventricular Dysfunction: A Meta-analysis. J Am Coll Cardiol. 2002;39(7):1151-8. doi: 10.1016/s0735-1097(02)01726-6.
    » https://doi.org/10.1016/s0735-1097(02)01726-6
  • 553 Sayad DE, Willett DL, Hundley WG, Grayburn PA, Peshock RM. Dobutamine Magnetic Resonance Imaging with Myocardial Tagging Quantitatively Predicts Improvement in Regional Function after Revascularization. Am J Cardiol. 1998;82(9):1149-51. doi: 10.1016/s0002-9149(98)00579-7.
    » https://doi.org/10.1016/s0002-9149(98)00579-7
  • 554 Collet JP, Thiele H, Barbato E, Barthélémy O, Bauersachs J, Bhatt DL, et al. 2020 ESC Guidelines for the Management of Acute Coronary Syndromes in Patients Presenting without Persistent ST-segment Elevation. Eur Heart J. 2021;42(14):1289-367. doi: 10.1093/eurheartj/ehaa575.
    » https://doi.org/10.1093/eurheartj/ehaa575
  • 555 Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE Jr, Colvin MM, et al. 2016 ACC/AHA/HFSA Focused Update on New Pharmacological Therapy for Heart Failure: An Update of the 2013 ACCF/AHA Guideline for the Management of Heart Failure: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Failure Society of America. J Am Coll Cardiol. 2016;68(13):1476-88. doi: 10.1016/j.jacc.2016.05.011.
    » https://doi.org/10.1016/j.jacc.2016.05.011
  • 556 Yancy CW, Jessup M, Bozkurt B, Butler J, Casey DE Jr, Colvin MM, et al. 2017 ACC/AHA/HFSA Focused Update of the 2013 ACCF/AHA Guideline for the Management of Heart Failure: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines and the Heart Failure Society of America. J Am Coll Cardiol. 2017 8;70(6):776-803. doi: 10.1016/j.jacc.2017.04.025.
    » https://doi.org/10.1016/j.jacc.2017.04.025
  • 557 Zipes DP, Camm AJ, Borggrefe M, Buxton AE, Chaitman B, Fromer M, et al. ACC/AHA/ESC 2006 Guidelines for Management of Patients with Ventricular Arrhythmias and the Prevention of Sudden Cardiac Death: A Report of the American College of Cardiology/American Heart Association Task Force and the European Society of Cardiology Committee for Practice Guidelines (Writing Committee to Develop Guidelines for Management of Patients with Ventricular Arrhythmias and the Prevention of Sudden Cardiac Death). J Am Coll Cardiol. 2006;48(5):247-346. doi: 10.1016/j.jacc.2006.07.010.
    » https://doi.org/10.1016/j.jacc.2006.07.010
  • 558 Sociedade Brasileira de Cardiologia. Guideline of Sociedade Brasileira de Cardiologia for Resonance and Cardiovascular Tomography. Executive Summary. Arq Bras Cardiol. 2006;87(Suppl 3):1-12.
  • 559 Kawel-Boehm N, Maceira A, Valsangiacomo-Buechel ER, Vogel-Claussen J, Turkbey EB, Williams R, et al. Normal Values for Cardiovascular Magnetic Resonance in Adults and Children. J Cardiovasc Magn Reson. 2015;17(1):29. doi: 10.1186/s12968-015-0111-7.
    » https://doi.org/10.1186/s12968-015-0111-7
  • 560 Lin HY, Freed D, Lee TW, Arora RC, Ali A, Almoustadi W, et al. Quantitative Assessment of Cardiac Output and Left Ventricular Function by Noninvasive Phase-contrast and Cine MRI: Validation Study with Invasive Pressure-volume Loop Analysis in a Swine Model. J Magn Reson Imaging. 2011;34(1):203-10. doi: 10.1002/jmri.22587.
    » https://doi.org/10.1002/jmri.22587
  • 561 Suinesiaputra A, Bluemke DA, Cowan BR, Friedrich MG, Kramer CM, Kwong R, et al. Quantification of LV Function and Mass by Cardiovascular Magnetic Resonance: Multi-center Variability and Consensus Contours. J Cardiovasc Magn Reson. 2015;17(1):63. doi: 10.1186/s12968-015-0170-9.
    » https://doi.org/10.1186/s12968-015-0170-9
  • 562 Kim HW, Klem I, Shah DJ, Wu E, Meyers SN, Parker MA, et al. Unrecognized Non-Q-wave Myocardial Infarction: Prevalence and Prognostic Significance in Patients with Suspected Coronary Disease. PLoS Med. 2009;6(4):e1000057. doi: 10.1371/journal.pmed.1000057.
    » https://doi.org/10.1371/journal.pmed.1000057
  • 563 Wu E, Judd RM, Vargas JD, Klocke FJ, Bonow RO, Kim RJ. Visualisation of Presence, Location, and Transmural Extent of Healed Q-wave and Non-Q-wave Myocardial Infarction. Lancet. 2001;357(9249):21-8. doi: 10.1016/S0140-6736(00)03567-4.
    » https://doi.org/10.1016/S0140-6736(00)03567-4
  • 564 Ganesan AN, Gunton J, Nucifora G, McGavigan AD, Selvanayagam JB. Impact of Late Gadolinium Enhancement on Mortality, Sudden Death and Major Adverse Cardiovascular Events in Ischemic and Nonischemic Cardiomyopathy: A Systematic Review and Meta-analysis. Int J Cardiol. 2018;254:230-37. doi: 10.1016/j.ijcard.2017.10.094.
    » https://doi.org/10.1016/j.ijcard.2017.10.094
  • 565 McCrohon JA, Moon JC, Prasad SK, McKenna WJ, Lorenz CH, Coats AJ, et al. Differentiation of Heart Failure Related to Dilated Cardiomyopathy and Coronary Artery Disease Using Gadolinium-enhanced Cardiovascular Magnetic Resonance. Circulation. 2003;108(1):54-9. doi: 10.1161/01.CIR.0000078641.19365.4C.
    » https://doi.org/10.1161/01.CIR.0000078641.19365.4C
  • 566 Halliday BP, Baksi AJ, Gulati A, Ali A, Newsome S, Izgi C, et al. Outcome in Dilated Cardiomyopathy Related to the Extent, Location, and Pattern of Late Gadolinium Enhancement. JACC Cardiovasc Imaging. 2019;12(8):1645-55. doi: 10.1016/j.jcmg.2018.07.015.
    » https://doi.org/10.1016/j.jcmg.2018.07.015
  • 567 Elias J, van Dongen IM, Hoebers LP, Ouweneel DM, Claessen BEPM, Råmunddal T, et al. Improved Recovery of Regional Left Ventricular Function after PCI of Chronic Total Occlusion in STEMI Patients: A Cardiovascular Magnetic Resonance Study of the Randomized Controlled EXPLORE Trial. J Cardiovasc Magn Reson. 2017;19(1):53. doi: 10.1186/s12968-017-0369-z.
    » https://doi.org/10.1186/s12968-017-0369-z
  • 568 Bulluck H, Chan MHH, Paradies V, Yellon RL, Ho HH, Chan MY, et al. Incidence and Predictors of Left Ventricular Thrombus by Cardiovascular Magnetic Resonance in Acute ST-segment Elevation Myocardial Infarction Treated by Primary Percutaneous Coronary Intervention: A Meta-analysis. J Cardiovasc Magn Reson. 2018;20(1):72. doi: 10.1186/s12968-018-0494-3.
    » https://doi.org/10.1186/s12968-018-0494-3
  • 569 Hooks M, Okasha O, Velangi PS, Nijjar PS, Farzaneh-Far A, Shenoy C. Left Ventricular Thrombus on Cardiovascular Magnetic Resonance Imaging in Non-ischaemic Cardiomyopathy. Eur Heart J Cardiovasc Imaging. 2021;22(12):1425-33. doi: 10.1093/ehjci/jeaa244.
    » https://doi.org/10.1093/ehjci/jeaa244
  • 570 Srichai MB, Junor C, Rodriguez LL, Stillman AE, Grimm RA, Lieber ML, et al. Clinical, Imaging, and Pathological Characteristics of Left Ventricular Thrombus: A Comparison of Contrast-enhanced Magnetic Resonance Imaging, Transthoracic Echocardiography, and Transesophageal Echocardiography with Surgical or Pathological Validation. Am Heart J. 2006;152(1):75-84. doi: 10.1016/j.ahj.2005.08.021.
    » https://doi.org/10.1016/j.ahj.2005.08.021
  • 571 Weinsaft JW, Kim HW, Shah DJ, Klem I, Crowley AL, Brosnan R, et al. Detection of Left Ventricular Thrombus by Delayed-enhancement Cardiovascular Magnetic Resonance Prevalence and Markers in Patients with Systolic Dysfunction. J Am Coll Cardiol. 2008;52(2):148-57. doi: 10.1016/j.jacc.2008.03.041.
    » https://doi.org/10.1016/j.jacc.2008.03.041
  • 572 Heatlie GJ, Mohiaddin R. Left Ventricular Aneurysm: Comprehensive Assessment of Morphology, Structure and Thrombus Using Cardiovascular Magnetic Resonance. Clin Radiol. 2005;60(6):687-92. doi: 10.1016/j.crad.2005.01.007.
    » https://doi.org/10.1016/j.crad.2005.01.007
  • 573 Hays AG, Stuber M, Hirsch GA, Yu J, Schär M, Weiss RG, et al. Non-invasive Detection of Coronary Endothelial Response to Sequential Handgrip Exercise in Coronary Artery Disease Patients and Healthy Adults. PLoS One. 2013;8(3):e58047. doi: 10.1371/journal.pone.0058047.
    » https://doi.org/10.1371/journal.pone.0058047
  • 574 Botnar RM, Stuber M, Kissinger KV, Kim WY, Spuentrup E, Manning WJ. Noninvasive Coronary Vessel Wall and Plaque Imaging with Magnetic Resonance Imaging. Circulation. 2000;102(21):2582-7. doi: 10.1161/01.cir.102.21.2582.
    » https://doi.org/10.1161/01.cir.102.21.2582
  • 575 Yeon SB, Sabir A, Clouse M, Martinezclark PO, Peters DC, Hauser TH, et al. Delayed-enhancement Cardiovascular Magnetic Resonance Coronary Artery Wall Imaging: Comparison with Multislice Computed Tomography and Quantitative Coronary Angiography. J Am Coll Cardiol. 2007;50(5):441-7. doi: 10.1016/j.jacc.2007.03.052.
    » https://doi.org/10.1016/j.jacc.2007.03.052
  • 576 Sakuma H, Ichikawa Y, Suzawa N, Hirano T, Makino K, Koyama N, et al. Assessment of Coronary Arteries with Total Study Time of Less Than 30 Minutes by Using Whole-heart Coronary MR Angiography. Radiology. 2005;237(1):316-21. doi: 10.1148/radiol.2371040830.
    » https://doi.org/10.1148/radiol.2371040830
  • 577 Hamdan A, Asbach P, Wellnhofer E, Klein C, Gebker R, Kelle S, et al. A Prospective Study for Comparison of MR and CT Imaging for Detection of Coronary Artery Stenosis. JACC Cardiovasc Imaging. 2011;4(1):50-61. doi: 10.1016/j.jcmg.2010.10.007.
    » https://doi.org/10.1016/j.jcmg.2010.10.007
  • 578 Kim WY, Danias PG, Stuber M, Flamm SD, Plein S, Nagel E, et al. Coronary Magnetic Resonance Angiography for the Detection of Coronary Stenoses. N Engl J Med. 2001;345(26):1863-9. doi: 10.1056/NEJMoa010866.
    » https://doi.org/10.1056/NEJMoa010866
  • 579 Kato S, Kitagawa K, Ishida N, Ishida M, Nagata M, Ichikawa Y, et al. Assessment of Coronary Artery Disease Using Magnetic Resonance Coronary Angiography: A National Multicenter Trial. J Am Coll Cardiol. 2010;56(12):983-91. doi: 10.1016/j.jacc.2010.01.071.
    » https://doi.org/10.1016/j.jacc.2010.01.071
  • 580 Bluemke DA, Achenbach S, Budoff M, Gerber TC, Gersh B, Hillis LD, et al. Noninvasive Coronary Artery Imaging: Magnetic Resonance Angiography and Multidetector Computed Tomography Angiography: A Scientific Statement from the American Heart Association Committee on Cardiovascular Imaging and Intervention of the Council on Cardiovascular Radiology and Intervention, and the Councils on Clinical Cardiology and Cardiovascular Disease in the Young. Circulation. 2008;118(5):586-606. doi: 10.1161/CIRCULATIONAHA.108.189695.
    » https://doi.org/10.1161/CIRCULATIONAHA.108.189695
  • 581 Hundley WG, Bluemke DA, Finn JP, Flamm SD, Fogel MA, Friedrich MG, et al. ACCF/ACR/AHA/NASCI/SCMR 2010 Expert Consensus Document on Cardiovascular Magnetic Resonance: A Report of the American College of Cardiology Foundation Task Force on Expert Consensus Documents. J Am Coll Cardiol. 2010;55(23):2614-62. doi: 10.1016/j.jacc.2009.11.011.
    » https://doi.org/10.1016/j.jacc.2009.11.011
  • 582 Kim SM, Choi JH, Choe YH. Coronary Artery Total Occlusion: MR Angiographic Imaging Findings and Success Rates of Percutaneous Coronary Intervention According to Intraluminal Signal Intensity Patterns. Radiology. 2016;279(1):84-92. doi: 10.1148/radiol.2015150191.
    » https://doi.org/10.1148/radiol.2015150191
  • 583 Yonezawa M, Nagata M, Kitagawa K, Kato S, Yoon Y, Nakajima H, et al. Quantitative Analysis of 1.5-T Whole-heart Coronary MR Angiograms Obtained with 32-channel Cardiac Coils: A Comparison with Conventional Quantitative Coronary Angiography. Radiology. 2014;271(2):356-64. doi: 10.1148/radiol.13122491.
    » https://doi.org/10.1148/radiol.13122491
  • 584 Chan CF, Keenan NG, Nielles-Vallespin S, Gatehouse P, Sheppard MN, Boyle JJ, et al. Ultra-short Echo Time Cardiovascular Magnetic Resonance of Atherosclerotic Carotid Plaque. J Cardiovasc Magn Reson. 2010;12(1):17. doi: 10.1186/1532-429X-12-17.
    » https://doi.org/10.1186/1532-429X-12-17
  • 585 Kawasaki T, Koga S, Koga N, Noguchi T, Tanaka H, Koga H, et al. Characterization of Hyperintense Plaque with Noncontrast T(1)-weighted Cardiac Magnetic Resonance Coronary Plaque Imaging: Comparison with Multislice Computed Tomography and Intravascular Ultrasound. JACC Cardiovasc Imaging. 2009;2(6):720-8. doi: 10.1016/j.jcmg.2009.01.016.
    » https://doi.org/10.1016/j.jcmg.2009.01.016
  • 586 Sakuma H, Saeed M, Takeda K, Wendland MF, Schwitter J, Szolar DH, et al. Quantification of Coronary Artery Volume Flow Rate Using Fast Velocity-encoded Cine MR Imaging. AJR Am J Roentgenol. 1997;168(5):1363-7. doi: 10.2214/ajr.168.5.9129446.
    » https://doi.org/10.2214/ajr.168.5.9129446
  • 587 Lund GK, Wendland MF, Shimakawa A, Arheden H, Ståhlberg F, Higgins CB, et al. Coronary Sinus Flow Measurement by Means of Velocity-encoded Cine MR Imaging: Validation by Using Flow Probes in Dogs. Radiology. 2000;217(2):487-93. doi: 10.1148/radiology.217.2.r00nv10487.
    » https://doi.org/10.1148/radiology.217.2.r00nv10487
  • 588 Kato S, Saito N, Nakachi T, Fukui K, Iwasawa T, Taguri M, et al. Stress Perfusion Coronary Flow Reserve Versus Cardiac Magnetic Resonance for Known or Suspected CAD. J Am Coll Cardiol. 2017;70(7):869-79. doi: 10.1016/j.jacc.2017.06.028.
    » https://doi.org/10.1016/j.jacc.2017.06.028
  • 589 van de Hoef TP, van Lavieren MA, Damman P, Delewi R, Piek MA, Chamuleau SA, et al. Physiological Basis and Long-term Clinical Outcome of Discordance Between Fractional Flow Reserve and Coronary Flow Velocity Reserve in Coronary Stenoses of Intermediate Severity. Circ Cardiovasc Interv. 2014;7(3):301-11. doi: 10.1161/CIRCINTERVENTIONS.113.001049.
    » https://doi.org/10.1161/CIRCINTERVENTIONS.113.001049
  • 590 Al-Mubarak M, Prejean SP, Gupta H, Singh SP, Evanochko WT, Redden D, et al. An Updated Comparison of Conventional Coronary Angiography with Cardiac Magnetic Resonance Imaging to Diagnose the Origin and Proximal Course of Anomalous Coronary Arteries. J Invasive Cardiol. 2021;33(9):687-93.
  • 591 Heathfield E, Hussain T, Qureshi S, Valverde I, Witter T, Douiri A, et al. Cardiovascular Magnetic Resonance Imaging in Congenital Heart Disease as an Alternative to Diagnostic Invasive Cardiac Catheterization: A Single Center Experience. Congenit Heart Dis. 2013;8(4):322-7. doi: 10.1111/chd.12032.
    » https://doi.org/10.1111/chd.12032
  • 592 Dorfman AL, Geva T, Samyn MM, Greil G, Krishnamurthy R, Messroghli D, et al. SCMR Expert Consensus Statement for Cardiovascular Magnetic Resonance of Acquired and Non-structural Pediatric Heart Disease. J Cardiovasc Magn Reson. 2022;24(1):44. doi: 10.1186/s12968-022-00873-1.
    » https://doi.org/10.1186/s12968-022-00873-1
  • 593 Greil GF, Stuber M, Botnar RM, Kissinger KV, Geva T, Newburger JW, et al. Coronary Magnetic Resonance Angiography in Adolescents and Young Adults with Kawasaki Disease. Circulation. 2002;105(8):908-11. doi: 10.1161/hc0802.105563.
    » https://doi.org/10.1161/hc0802.105563
  • 594 Mavrogeni S, Papadopoulos G, Douskou M, Kaklis S, Seimenis I, Baras P, et al. Magnetic Resonance Angiography is Equivalent to X-ray Coronary Angiography for the Evaluation of Coronary Arteries in Kawasaki Disease. J Am Coll Cardiol. 2004;43(4):649-52. doi: 10.1016/j.jacc.2003.08.052.
    » https://doi.org/10.1016/j.jacc.2003.08.052
  • 595 Pasupathy S, Air T, Dreyer RP, Tavella R, Beltrame JF. Systematic Review of Patients Presenting with Suspected Myocardial Infarction and Nonobstructive Coronary Arteries. Circulation. 2015;131(10):861-70. doi: 10.1161/CIRCULATIONAHA.114.011201.
    » https://doi.org/10.1161/CIRCULATIONAHA.114.011201
  • 596 DeWood MA, Stifter WF, Simpson CS, Spores J, Eugster GS, Judge TP, et al. Coronary Arteriographic Findings Soon after Non-Q-wave Myocardial Infarction. N Engl J Med. 1986;315(7):417-23. doi: 10.1056/NEJM198608143150703.
    » https://doi.org/10.1056/NEJM198608143150703
  • 597 Agewall S, Beltrame JF, Reynolds HR, Niessner A, Rosano G, Caforio AL, et al. ESC Working Group Position Paper on Myocardial Infarction with Non-obstructive Coronary Arteries. Eur Heart J. 2017;38(3):143-53. doi: 10.1093/eurheartj/ehw149.
    » https://doi.org/10.1093/eurheartj/ehw149
  • 598 Fourth Universal Definition of Myocardial Infarction (2018). Rev Esp Cardiol. 2019;72(1):72. doi: 10.1016/j.rec.2018.11.011.
    » https://doi.org/10.1016/j.rec.2018.11.011
  • 599 Tornvall P, Gerbaud E, Behaghel A, Chopard R, Collste O, Laraudogoitia E, et al. Myocarditis or "True" Infarction by Cardiac Magnetic Resonance in Patients with a Clinical Diagnosis of Myocardial Infarction without Obstructive Coronary Disease: A Meta-analysis of Individual Patient Data. Atherosclerosis. 2015;241(1):87-91. doi: 10.1016/j.atherosclerosis.2015.04.816.
    » https://doi.org/10.1016/j.atherosclerosis.2015.04.816
  • 600 Lindahl B, Baron T, Erlinge D, Hadziosmanovic N, Nordenskjöld A, Gard A, et al. Medical Therapy for Secondary Prevention and Long-Term Outcome in Patients with Myocardial Infarction with Nonobstructive Coronary Artery Disease. Circulation. 2017;135(16):1481-9. doi: 10.1161/CIRCULATIONAHA.116.026336.
    » https://doi.org/10.1161/CIRCULATIONAHA.116.026336
  • 601 Yoo SM, Jang S, Kim JA, Chun EJ. Troponin-Positive Non-Obstructive Coronary Arteries and Myocardial Infarction with Non-Obstructive Coronary Arteries: Definition, Etiologies, and Role of CT and MR Imaging. Korean J Radiol. 2020;21(12):1305-16. doi: 10.3348/kjr.2020.0064.
    » https://doi.org/10.3348/kjr.2020.0064
  • 602 Dastidar AG, Baritussio A, De Garate E, Drobni Z, Biglino G, Singhal P, et al. Prognostic Role of CMR and Conventional Risk Factors in Myocardial Infarction with Nonobstructed Coronary Arteries. JACC Cardiovasc Imaging. 2019;12(10):1973-82. doi: 10.1016/j.jcmg.2018.12.023.
    » https://doi.org/10.1016/j.jcmg.2018.12.023
  • 603 Dastidar AG, Rodrigues JCL, Johnson TW, De Garate E, Singhal P, Baritussio A, et al. Myocardial Infarction with Nonobstructed Coronary Arteries: Impact of CMR Early after Presentation. JACC Cardiovasc Imaging. 2017;10(10 Pt A):1204-6. doi: 10.1016/j.jcmg.2016.11.010.
    » https://doi.org/10.1016/j.jcmg.2016.11.010
  • 604 Gatti M, Carisio A, D'Angelo T, Darvizeh F, Dell'Aversana S, Tore D, et al. Cardiovascular Magnetic Resonance in Myocardial Infarction with Non-obstructive Coronary Arteries Patients: A Review. World J Cardiol. 2020;12(6):248-61. doi: 10.4330/wjc.v12.i6.248.
    » https://doi.org/10.4330/wjc.v12.i6.248
  • 605 Chen BH, Shi NN, Wu CW, An DA, Shi YX, Wesemann LD, et al. Early Cardiac Involvement in Patients with Acute COVID-19 Infection Identified by Multiparametric Cardiovascular Magnetic Resonance Imaging. Eur Heart J Cardiovasc Imaging. 2021;22(8):844-51. doi: 10.1093/ehjci/jeab042.
    » https://doi.org/10.1093/ehjci/jeab042
  • 606 Kotecha T, Knight DS, Razvi Y, Kumar K, Vimalesvaran K, Thornton G, et al. Patterns of Myocardial Injury in Recovered Troponin-positive COVID-19 Patients Assessed by Cardiovascular Magnetic Resonance. Eur Heart J. 2021;42(19):1866-78. doi: 10.1093/eurheartj/ehab075.
    » https://doi.org/10.1093/eurheartj/ehab075
  • 607 Kim JY, Han K, Suh YJ. Prevalence of Abnormal Cardiovascular Magnetic Resonance Findings in Recovered Patients from COVID-19: A Systematic Review and Meta-analysis. J Cardiovasc Magn Reson. 2021;23(1):100. doi: 10.1186/s12968-021-00792-7.
    » https://doi.org/10.1186/s12968-021-00792-7
  • 608 Redfors B, Vedad R, Angerås O, Råmunddal T, Petursson P, Haraldsson I, et al. Mortality in Takotsubo Syndrome is Similar to Mortality in myocardial infarction - A Report from the SWEDEHEART Registry. Int J Cardiol. 2015;185:282-9. doi: 10.1016/j.ijcard.2015.03.162.
    » https://doi.org/10.1016/j.ijcard.2015.03.162
  • 609 Ghadri JR, Wittstein IS, Prasad A, Sharkey S, Dote K, Akashi YJ, et al. International Expert Consensus Document on Takotsubo Syndrome (Part I): Clinical Characteristics, Diagnostic Criteria, and Pathophysiology. Eur Heart J. 2018;39(22):2032-46. doi: 10.1093/eurheartj/ehy076.
    » https://doi.org/10.1093/eurheartj/ehy076
  • 610 Ferreira VM. CMR Should Be a Mandatory Test in the Contemporary Evaluation of "MINOCA". JACC Cardiovasc Imaging. 2019;12(10):1983-6. doi: 10.1016/j.jcmg.2019.05.011.
    » https://doi.org/10.1016/j.jcmg.2019.05.011
  • 611 Mileva N, Paolisso P, Gallinoro E, Fabbricatore D, Munhoz D, Bergamaschi L, et al. Diagnostic and Prognostic Role of Cardiac Magnetic Resonance in MINOCA: Systematic Review and Meta-Analysis. JACC Cardiovasc Imaging. 2023;16(3):376-89. doi: 10.1016/j.jcmg.2022.12.029.
    » https://doi.org/10.1016/j.jcmg.2022.12.029
  • 612 Sörensson P, Ekenbäck C, Lundin M, Agewall S, Brolin EB, Caidahl K, et al. Early Comprehensive Cardiovascular Magnetic Resonance Imaging in Patients with Myocardial Infarction with Nonobstructive Coronary Arteries. JACC Cardiovasc Imaging. 2021;14(9):1774-83. doi: 10.1016/j.jcmg.2021.02.021.
    » https://doi.org/10.1016/j.jcmg.2021.02.021
  • 613 Balakrishna AM, Ismayl M, Thandra A, Walters R, Ganesan V, Anugula D, et al. Diagnostic Value of Cardiac Magnetic Resonance Imaging and Intracoronary Optical Coherence Tomography in Patients with a Working Diagnosis of Myocardial Infarction with Non-obstructive Coronary Arteries - A Systematic Review and Meta-analysis. Curr Probl Cardiol. 2023;48(6):101126. doi: 10.1016/j.cpcardiol.2022.101126.
    » https://doi.org/10.1016/j.cpcardiol.2022.101126
  • 614 Sato H, Tateishi H, Uchida T, Dote K, Ishihara M, Kodama K, et al. Clinical Aspect of Myocardial Injury: From Ischemia to Heart Failure. Kagaku Hyoronsha. 1990;2:55-64.
  • 615 Vijiiac A, Ploscaru V, Vatasescu RG. The Great Myocardial Mimic - Takotsubo Syndrome. Maedica. 2020;15(1):111-21. doi: 10.26574/maedica.2020.15.1.111.
    » https://doi.org/10.26574/maedica.2020.15.1.111
  • 616 Efferth T, Banerjee M, Paul NW. Broken Heart, Tako-tsubo or Stress Cardiomyopathy? Metaphors, Meanings and Their Medical Impact. Int J Cardiol. 2017;230:262-8. doi: 10.1016/j.ijcard.2016.12.129.
    » https://doi.org/10.1016/j.ijcard.2016.12.129
  • 617 Abe Y, Kondo M. Apical Ballooning of the Left Ventricle: A Distinct Entity? Heart. 2003;89(9):974-6. doi: 10.1136/heart.89.9.974.
    » https://doi.org/10.1136/heart.89.9.974
  • 618 Giustino G, Croft LB, Oates CP, Rahman K, Lerakis S, Reddy VY, et al. Takotsubo Cardiomyopathy in COVID-19. J Am Coll Cardiol. 2020;76(5):628-9. doi: 10.1016/j.jacc.2020.05.068.
    » https://doi.org/10.1016/j.jacc.2020.05.068
  • 619 Han Y, Chen T, Bryant J, Bucciarelli-Ducci C, Dyke C, Elliott MD, et al. Society for Cardiovascular Magnetic Resonance (SCMR) Guidance for the Practice of Cardiovascular Magnetic Resonance During the COVID-19 Pandemic. J Cardiovasc Magn Reson. 2020;22(1):26. doi: 10.1186/s12968-020-00628-w.
    » https://doi.org/10.1186/s12968-020-00628-w
  • 620 Eitel I, Behrendt F, Schindler K, Kivelitz D, Gutberlet M, Schuler G, et al. Differential Diagnosis of Suspected Apical Ballooning Syndrome Using Contrast-enhanced Magnetic Resonance Imaging. Eur Heart J. 2008;29(21):2651-9. doi: 10.1093/eurheartj/ehn433.
    » https://doi.org/10.1093/eurheartj/ehn433
  • 621 Eitel I, von Knobelsdorff-Brenkenhoff F, Bernhardt P, Carbone I, Muellerleile K, Aldrovandi A, et al. Clinical Characteristics and Cardiovascular Magnetic Resonance Findings in Stress (Takotsubo) Cardiomyopathy. JAMA. 2011;306(3):277-86. doi: 10.1001/jama.2011.992.
    » https://doi.org/10.1001/jama.2011.992
  • 622 Abdel-Aty H, Cocker M, Friedrich MG. Myocardial Edema is a Feature of Tako-Tsubo Cardiomyopathy and is Related to the Severity of Systolic Dysfunction: Insights from T2-weighted Cardiovascular Magnetic Resonance. Int J Cardiol. 2009;132(2):291-3. doi: 10.1016/j.ijcard.2007.08.102.
    » https://doi.org/10.1016/j.ijcard.2007.08.102
  • 623 Deetjen AG, Conradi G, Mollmann S, Rad A, Hamm CW, Dill T. Value of Gadolinium-enhanced Magnetic Resonance Imaging in Patients with Tako-Tsubo-like Left Ventricular Dysfunction. J Cardiovasc Magn Reson. 2006;8(2):367-72. doi: 10.1080/10976640500452034.
    » https://doi.org/10.1080/10976640500452034
  • 624 Ghadri JR, Wittstein IS, Prasad A, Sharkey S, Dote K, Akashi YJ, et al. International Expert Consensus Document on Takotsubo Syndrome (Part II): Diagnostic Workup, Outcome, and Management. Eur Heart J. 2018;39(22):2047-62. doi: 10.1093/eurheartj/ehy077.
    » https://doi.org/10.1093/eurheartj/ehy077
  • 625 Santoro F, Stiermaier T, Tarantino N, De Gennaro L, Moeller C, Guastafierro F, et al. Left Ventricular Thrombi in Takotsubo Syndrome: Incidence, Predictors, and Management: Results From the GEIST (German Italian Stress Cardiomyopathy) Registry. J Am Heart Assoc. 2017;6(12):e006990. doi: 10.1161/JAHA.117.006990.
    » https://doi.org/10.1161/JAHA.117.006990
  • 626 Citro R, Okura H, Ghadri JR, Izumi C, Meimoun P, Izumo M, et al. Multimodality Imaging in Takotsubo Syndrome: A Joint Consensus Document of the European Association of Cardiovascular Imaging (EACVI) and the Japanese Society of Echocardiography (JSE). Eur Heart J Cardiovasc Imaging. 2020;21(11):1184-207. doi: 10.1093/ehjci/jeaa149.
    » https://doi.org/10.1093/ehjci/jeaa149
  • 627 Ammirati E, Frigerio M, Adler ED, Basso C, Birnie DH, Brambatti M, et al. Management of Acute Myocarditis and Chronic Inflammatory Cardiomyopathy: An Expert Consensus Document. Circ Heart Fail. 2020;13(11):e007405. doi: 10.1161/CIRCHEARTFAILURE.120.007405.
    » https://doi.org/10.1161/CIRCHEARTFAILURE.120.007405
  • 628 Gannon MP, Schaub E, Grines CL, Saba SG. State of the Art: Evaluation and Prognostication of Myocarditis Using Cardiac MRI. J Magn Reson Imaging. 2019;49(7):e122-e131. doi: 10.1002/jmri.26611.
    » https://doi.org/10.1002/jmri.26611
  • 629 Kramer CM, Barkhausen J, Bucciarelli-Ducci C, Flamm SD, Kim RJ, Nagel E. Standardized Cardiovascular Magnetic Resonance Imaging (CMR) Protocols: 2020 Update. J Cardiovasc Magn Reson. 2020;22(1):17. doi: 10.1186/s12968-020-00607-1.
    » https://doi.org/10.1186/s12968-020-00607-1
  • 630 Pan JA, Lee YJ, Salerno M. Diagnostic Performance of Extracellular Volume, Native T1, and T2 Mapping Versus Lake Louise Criteria by Cardiac Magnetic Resonance for Detection of Acute Myocarditis: A Meta-analysis. Circ Cardiovasc Imaging. 2018;11(7):e007598. doi: 10.1161/CIRCIMAGING.118.007598.
    » https://doi.org/10.1161/CIRCIMAGING.118.007598
  • 631 Petersen SE, Friedrich MG, Leiner T, Elias MD, Ferreira VM, Fenski M, et al. Cardiovascular Magnetic Resonance for Patients with COVID-19. JACC Cardiovasc Imaging. 2022;15(4):685-99. doi: 10.1016/j.jcmg.2021.08.021.
    » https://doi.org/10.1016/j.jcmg.2021.08.021
  • 632 D'Ascenzi F, Pelliccia A, Natali BM, Zacà V, Cameli M, Alvino F, et al. Morphological and Functional Adaptation of Left and Right Atria Induced by Training in Highly Trained Female Athletes. Circ Cardiovasc Imaging. 2014;7(2):222-9. doi: 10.1161/CIRCIMAGING.113.001345.
    » https://doi.org/10.1161/CIRCIMAGING.113.001345
  • 633 D'Ascenzi F, Pelliccia A, Valentini F, Malandrino A, Natali BM, Barbati R, et al. Training-induced Right Ventricular Remodelling in Pre-adolescent Endurance Athletes: The Athlete's Heart in Children. Int J Cardiol. 2017;236:270-5. doi: 10.1016/j.ijcard.2017.01.121.
    » https://doi.org/10.1016/j.ijcard.2017.01.121
  • 634 D'Ascenzi F, Pisicchio C, Caselli S, Di Paolo FM, Spataro A, Pelliccia A. RV Remodeling in Olympic Athletes. JACC Cardiovasc Imaging. 2017;10(4):385-93. doi: 10.1016/j.jcmg.2016.03.017.
    » https://doi.org/10.1016/j.jcmg.2016.03.017
  • 635 Pluim BM, Zwinderman AH, van der Laarse A, van der Wall EE. The Athlete's Heart. A Meta-analysis of Cardiac Structure and Function. Circulation. 2000;101(3):336-44. doi: 10.1161/01.cir.101.3.336.
    » https://doi.org/10.1161/01.cir.101.3.336
  • 636 Ghorayeb N, Costa RV, Castro I, Daher DJ, Oliveira JÁ Filho, Oliveira MA, et al. Guidelines on Exercise and Sports Cardiology from the Brazilian Society of Cardiology and the Brazilian Society of Sports Medicine. Arq Bras Cardiol. 2013;100(1 Suppl 2):1-41. doi: 10.5935/abc.2013S002.
    » https://doi.org/10.5935/abc.2013S002
  • 637 Anastasakis A, Kotsiopoulou C, Rigopoulos A, Theopistou A, Protonotarios N, Panagiotakos D, et al. Similarities in the Profile of Cardiopulmonary Exercise Testing between Patients with Hypertrophic Cardiomyopathy and Strength Athletes. Heart. 2005;91(11):1477-8. doi: 10.1136/hrt.2004.055053.
    » https://doi.org/10.1136/hrt.2004.055053
  • 638 Ghorayeb N, Stein R, Daher DJ, Silveira ADD, Ritt LEF, Santos DFPD, et al. The Brazilian Society of Cardiology and Brazilian Society of Exercise and Sports Medicine Updated Guidelines for Sports and Exercise Cardiology - 2019. Arq Bras Cardiol. 2019;112(3):326-68. doi: 10.5935/abc.20190048.
    » https://doi.org/10.5935/abc.20190048
  • 639 Sharma S, Elliott PM, Whyte G, Mahon N, Virdee MS, Mist B, et al. Utility of Metabolic Exercise Testing in Distinguishing Hypertrophic Cardiomyopathy from Physiologic Left Ventricular Hypertrophy in Athletes. J Am Coll Cardiol. 2000;36(3):864-70. doi: 10.1016/s0735-1097(00)00816-0.
    » https://doi.org/10.1016/s0735-1097(00)00816-0
  • 640 Rickers C, Wilke NM, Jerosch-Herold M, Casey SA, Panse P, Panse N, et al. Utility of Cardiac Magnetic Resonance Imaging in the Diagnosis of Hypertrophic Cardiomyopathy. Circulation. 2005;112(6):855-61. doi: 10.1161/CIRCULATIONAHA.104.507723.
    » https://doi.org/10.1161/CIRCULATIONAHA.104.507723
  • 641 Brosnan MJ, Rakhit D. Differentiating Athlete's Heart from Cardiomyopathies - The Left Side. Heart Lung Circ. 2018;27(9):1052-62. doi: 10.1016/j.hlc.2018.04.297.
    » https://doi.org/10.1016/j.hlc.2018.04.297
  • 642 Abulí M, de la Garza MS, Sitges M. Differentiating Athlete's Heart from Left Ventricle Cardiomyopathies. J Cardiovasc Transl Res. 2020;13(3):265-73. doi: 10.1007/s12265-020-10021-8.
    » https://doi.org/10.1007/s12265-020-10021-8
  • 643 Le Ven F, Bibeau K, De Larochellière É, Tizón-Marcos H, Deneault-Bissonnette S, Pibarot P, et al. Cardiac Morphology and Function Reference Values Derived from a Large Subset of Healthy Young Caucasian Adults by Magnetic Resonance Imaging. Eur Heart J Cardiovasc Imaging. 2016;17(9):981-90. doi: 10.1093/ehjci/jev217.
    » https://doi.org/10.1093/ehjci/jev217
  • 644 Waterhouse DF, Ismail TF, Prasad SK, Wilson MG, O'Hanlon R. Imaging Focal and Interstitial Fibrosis with Cardiovascular Magnetic Resonance in Athletes with Left Ventricular Hypertrophy: Implications for Sporting Participation. Br J Sports Med. 2012;46(Suppl 1):i69-77. doi: 10.1136/bjsports-2012-091482.
    » https://doi.org/10.1136/bjsports-2012-091482
  • 645 Whyte GP, Sheppard M, George KP, Shave RE, Wilson M, Stephens N, et al. Arrhythmias and the Athlete: Mechanisms and Clinical Significance. Eur Heart J. 2007;28(11):1399-401. doi: 10.1093/eurheartj/ehm121.
    » https://doi.org/10.1093/eurheartj/ehm121
  • 646 Pelliccia A, Caselli S, Sharma S, Basso C, Bax JJ, Corrado D, et al. European Association of Preventive Cardiology (EAPC) and European Association of Cardiovascular Imaging (EACVI) Joint Position Statement: Recommendations for the Indication and Interpretation of Cardiovascular Imaging in the Evaluation of the Athlete's Heart. Eur Heart J. 2018;39(21):1949-69. doi: 10.1093/eurheartj/ehx532.
    » https://doi.org/10.1093/eurheartj/ehx532
  • 647 Pelliccia A, Maron BJ, De Luca R, Di Paolo FM, Spataro A, Culasso F. Remodeling of Left Ventricular Hypertrophy in Elite Athletes after Long-term Deconditioning. Circulation. 2002;105(8):944-9. doi: 10.1161/hc0802.104534.
    » https://doi.org/10.1161/hc0802.104534
  • 648 Fogante M, Agliata G, Basile MC, Compagnucci P, Volpato G, Falanga U, et al. Cardiac Imaging in Athlete's Heart: The Role of the Radiologist. Medicina. 2021;57(5):455. doi: 10.3390/medicina57050455.
    » https://doi.org/10.3390/medicina57050455
  • 649 Baggish AL, Battle RW, Beaver TA, Border WL, Douglas PS, Kramer CM, et al. Recommendations on the Use of Multimodality Cardiovascular Imaging in Young Adult Competitive Athletes: A Report from the American Society of Echocardiography in Collaboration with the Society of Cardiovascular Computed Tomography and the Society for Cardiovascular Magnetic Resonance. J Am Soc Echocardiogr. 2020;33(5):523-49. doi: 10.1016/j.echo.2020.02.009.
    » https://doi.org/10.1016/j.echo.2020.02.009
  • 650 Galderisi M, Cardim N, D'Andrea A, Bruder O, Cosyns B, Davin L, et al. The Multi-Modality Cardiac Imaging Approach to the Athlete's Heart: An Expert Consensus of the European Association of Cardiovascular Imaging. Eur Heart J Cardiovasc Imaging. 2015;16(4):353. doi: 10.1093/ehjci/jeu323.
    » https://doi.org/10.1093/ehjci/jeu323
  • 651 Kübler J, Burgstahler C, Brendel JM, Gassenmaier S, Hagen F, Klingel K, et al. Cardiac MRI Findings to Differentiate Athlete's Heart from Hypertrophic (HCM), Arrhythmogenic Right Ventricular (ARVC) and Dilated (DCM) Cardiomyopathy. Int J Cardiovasc Imaging. 2021;37(8):2501-15. doi: 10.1007/s10554-021-02280-6.
    » https://doi.org/10.1007/s10554-021-02280-6
  • 652 Anderson JL, Heidenreich PA, Barnett PG, Creager MA, Fonarow GC, Gibbons RJ, et al. ACC/AHA Statement on Cost/Value Methodology in Clinical Practice Guidelines and Performance Measures: A Report of the American College of Cardiology/American Heart Association Task Force on Performance Measures and Task Force on Practice Guidelines. J Am Coll Cardiol. 2014;63(21):2304-22. doi: 10.1016/j.jacc.2014.03.016.
    » https://doi.org/10.1016/j.jacc.2014.03.016
  • 653 Maron BJ. Clinical Course and Management of Hypertrophic Cardiomyopathy. N Engl J Med. 2018;379(7):655-68. doi: 10.1056/NEJMra1710575.
    » https://doi.org/10.1056/NEJMra1710575
  • 654 Maron BJ, Rowin EJ, Maron MS. Hypertrophic Cardiomyopathy: New Concepts and Therapies. Annu Rev Med. 2022;73:363-75. doi: 10.1146/annurev-med-042220-021539.
    » https://doi.org/10.1146/annurev-med-042220-021539
  • 655 Zheng X, He Z, Li M, Jia Z. Global Research Trends of Hypertrophic Cardiomyopathy from 2000 to 2022: Insights from Bibliometric Analysis. Front Cardiovasc Med. 2023;10:1039098. doi: 10.3389/fcvm.2023.1039098.
    » https://doi.org/10.3389/fcvm.2023.1039098
  • 656 Zou Y, Song L, Wang Z, Ma A, Liu T, Gu H, et al. Prevalence of Idiopathic Hypertrophic Cardiomyopathy in China: A Population-based Echocardiographic Analysis of 8080 Adults. Am J Med. 2004;116(1):14-8. doi: 10.1016/j.amjmed.2003.05.009.
    » https://doi.org/10.1016/j.amjmed.2003.05.009
  • 657 Institute of Medicine (US) Committee on Standards for Developing Trustworthy Clinical Practice Guidelines. Clinical Practice Guidelines We Can Trust. Graham R, Mancher M, Wolman DM, Greenfield S, Steinberg E, editors. Washington (DC): National Academies Press; 2011.
  • 658 Report of the WHO/ISFC Task Force on the Definition and Classification of Cardiomyopathies. Br Heart J. 1980;44(6):672-3. doi: 10.1136/hrt.44.6.672.
    » https://doi.org/10.1136/hrt.44.6.672
  • 659 Maron BJ, McKenna WJ, Danielson GK, Kappenberger LJ, Kuhn HJ, Seidman CE, et al. A Report of the American College of Cardiology Foundation Task Force on Clinical Expert Consensus Documents and the European Society of Cardiology Committee for Practice Guidelines. Eur Heart J. 2003;24(21):1965-91. doi: 10.1016/s0195-668x(03)00479-2.
    » https://doi.org/10.1016/s0195-668x(03)00479-2
  • 660 Richardson P, McKenna W, Bristow M, Maisch B, Mautner B, O'Connell J, et al. Report of the 1995 World Health Organization/International Society and Federation of Cardiology Task Force on the Definition and Classification of Cardiomyopathies. Circulation. 1996;93(5):841-2. doi: 10.1161/01.cir.93.5.841.
    » https://doi.org/10.1161/01.cir.93.5.841
  • 661 Elliott P, McKenna WJ. Hypertrophic Cardiomyopathy. Lancet. 2004;363(9424):1881-91. doi: 10.1016/S0140-6736(04)16358-7.
    » https://doi.org/10.1016/S0140-6736(04)16358-7
  • 662 Maron BJ, Maron MS. Hypertrophic Cardiomyopathy. Lancet. 2013;381(9862):242-55. doi: 10.1016/S0140-6736(12)60397-3.
    » https://doi.org/10.1016/S0140-6736(12)60397-3
  • 663 Elliott PM, Poloniecki J, Dickie S, Sharma S, Monserrat L, Varnava A, et al. Sudden Death in Hypertrophic Cardiomyopathy: Identification of High Risk Patients. J Am Coll Cardiol. 2000;36(7):2212-8. doi: 10.1016/s0735-1097(00)01003-2.
    » https://doi.org/10.1016/s0735-1097(00)01003-2
  • 664 Maron MS, Olivotto I, Betocchi S, Casey SA, Lesser JR, Losi MA, et al. Effect of Left Ventricular Outflow Tract Obstruction on Clinical Outcome in Hypertrophic Cardiomyopathy. N Engl J Med. 2003;348(4):295-303. doi: 10.1056/NEJMoa021332.
    » https://doi.org/10.1056/NEJMoa021332
  • 665 Chan RH, Maron BJ, Olivotto I, Pencina MJ, Assenza GE, Haas T, et al. Prognostic Value of Quantitative Contrast-enhanced Cardiovascular Magnetic Resonance for the Evaluation of Sudden Death Risk in Patients with Hypertrophic Cardiomyopathy. Circulation. 2014;130(6):484-95. doi: 10.1161/CIRCULATIONAHA.113.007094.
    » https://doi.org/10.1161/CIRCULATIONAHA.113.007094
  • 666 Maron BJ, Desai MY, Nishimura RA, Spirito P, Rakowski H, Towbin JA, et al. Diagnosis and Evaluation of Hypertrophic Cardiomyopathy: JACC State-of-the-Art Review. J Am Coll Cardiol. 2022;79(4):372-89. doi: 10.1016/j.jacc.2021.12.002.
    » https://doi.org/10.1016/j.jacc.2021.12.002
  • 667 Hindieh W, Weissler-Snir A, Hammer H, Adler A, Rakowski H, Chan RH. Discrepant Measurements of Maximal Left Ventricular Wall Thickness Between Cardiac Magnetic Resonance Imaging and Echocardiography in Patients with Hypertrophic Cardiomyopathy. Circ Cardiovasc Imaging. 2017;10(8):e006309. doi: 10.1161/CIRCIMAGING.117.006309.
    » https://doi.org/10.1161/CIRCIMAGING.117.006309
  • 668 Moon JC, Fisher NG, McKenna WJ, Pennell DJ. Detection of Apical Hypertrophic Cardiomyopathy by Cardiovascular Magnetic Resonance in Patients with Non-diagnostic Echocardiography. Heart. 2004;90(6):645-9. doi: 10.1136/hrt.2003.014969.
    » https://doi.org/10.1136/hrt.2003.014969
  • 669 Nagueh SF, Phelan D, Abraham T, Armour A, Desai MY, Dragulescu A, et al. Recommendations for Multimodality Cardiovascular Imaging of Patients with Hypertrophic Cardiomyopathy: An Update from the American Society of Echocardiography, in Collaboration with the American Society of Nuclear Cardiology, the Society for Cardiovascular Magnetic Resonance, and the Society of Cardiovascular Computed Tomography. J Am Soc Echocardiogr. 2022;35(6):533-69. doi: 10.1016/j.echo.2022.03.012.
    » https://doi.org/10.1016/j.echo.2022.03.012
  • 670 Ommen SR, Mital S, Burke MA, Day SM, Deswal A, Elliott P, et al. 2020 AHA/ACC Guideline for the Diagnosis and Treatment of Patients with Hypertrophic Cardiomyopathy: Executive Summary: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation. 2020;142(25):e533-e557. doi: 10.1161/CIR.0000000000000938.
    » https://doi.org/10.1161/CIR.0000000000000938
  • 671 Corona-Villalobos CP, Sorensen LL, Pozios I, Chu L, Eng J, Abraham MR, et al. Left Ventricular Wall Thickness in Patients with Hypertrophic Cardiomyopathy: A Comparison between Cardiac Magnetic Resonance Imaging and Echocardiography. Int J Cardiovasc Imaging. 2016;32(6):945-54. doi: 10.1007/s10554-016-0858-4.
    » https://doi.org/10.1007/s10554-016-0858-4
  • 672 Ismail TF, Jabbour A, Gulati A, Mallorie A, Raza S, Cowling TE, et al. Role of Late Gadolinium Enhancement Cardiovascular Magnetic Resonance in the Risk Stratification of Hypertrophic Cardiomyopathy. Heart. 2014;100(23):1851-8. doi: 10.1136/heartjnl-2013-305471.
    » https://doi.org/10.1136/heartjnl-2013-305471
  • 673 Weng Z, Yao J, Chan RH, He J, Yang X, Zhou Y, et al. Prognostic Value of LGE-CMR in HCM: A Meta-analysis. JACC Cardiovasc Imaging. 2016;9(12):1392-402. doi: 10.1016/j.jcmg.2016.02.031.
    » https://doi.org/10.1016/j.jcmg.2016.02.031
  • 674 Kwon DH, Setser RM, Thamilarasan M, Popovic ZV, Smedira NG, Schoenhagen P, et al. Abnormal Papillary Muscle Morphology is Independently Associated with Increased Left Ventricular Outflow Tract Obstruction in Hypertrophic Cardiomyopathy. Heart. 2008;94(10):1295-301. doi: 10.1136/hrt.2007.118018.
    » https://doi.org/10.1136/hrt.2007.118018
  • 675 Patel P, Dhillon A, Popovic ZB, Smedira NG, Rizzo J, Thamilarasan M, et al. Left Ventricular Outflow Tract Obstruction in Hypertrophic Cardiomyopathy Patients without Severe Septal Hypertrophy: Implications of Mitral Valve and Papillary Muscle Abnormalities Assessed Using Cardiac Magnetic Resonance and Echocardiography. Circ Cardiovasc Imaging. 2015;8(7):e003132. doi: 10.1161/CIRCIMAGING.115.003132.
    » https://doi.org/10.1161/CIRCIMAGING.115.003132
  • 676 Rowin EJ, Maron BJ, Chokshi A, Kannappan M, Arkun K, Wang W, et al. Clinical Spectrum and Management Implications of Left Ventricular Outflow Obstruction with Mild Ventricular Septal Thickness in Hypertrophic Cardiomyopathy. Am J Cardiol. 2018;122(8):1409-20. doi: 10.1016/j.amjcard.2018.06.055.
    » https://doi.org/10.1016/j.amjcard.2018.06.055
  • 677 Grimaldi A, Mocumbi AO, Freers J, Lachaud M, Mirabel M, Ferreira B, et al. Tropical Endomyocardial Fibrosis: Natural History, Challenges, and Perspectives. Circulation. 2016;133(24):2503-15. doi: 10.1161/CIRCULATIONAHA.115.021178.
    » https://doi.org/10.1161/CIRCULATIONAHA.115.021178
  • 678 Mocumbi AO, Ferreira MB, Sidi D, Yacoub MH. A Population Study of Endomyocardial Fibrosis in a Rural Area of Mozambique. N Engl J Med. 2008;359(1):43-9. doi: 10.1056/NEJMoa0708629.
    » https://doi.org/10.1056/NEJMoa0708629
  • 679 Salemi VM, Rochitte CE, Shiozaki AA, Andrade JM, Parga JR, Ávila LF, et al. Late Gadolinium Enhancement Magnetic Resonance Imaging in the Diagnosis and Prognosis of Endomyocardial Fibrosis Patients. Circ Cardiovasc Imaging. 2011;4(3):304-11. doi: 10.1161/CIRCIMAGING.110.950675.
    » https://doi.org/10.1161/CIRCIMAGING.110.950675
  • 680 Carvalho FP, Azevedo CF. Comprehensive Assessment of Endomyocardial Fibrosis with Cardiac MRI: Morphology, Function, and Tissue Characterization. Radiographics. 2020;40(2):336-53. doi: 10.1148/rg.2020190148.
    » https://doi.org/10.1148/rg.2020190148
  • 681 Carneiro AC, Mochiduky RI, Zancaner LF, Cabeda EV, Moreira VM, Ribeiro MS, et al. A New Typical Finding in Late Gadolinium Enhanced Images for the Diagnosis of Endomyocardial Fibrosis - The Double V Sign. J Cardiovasc Magn Reson. 2011;13(Suppl 1):40. doi: 10.1186/1532-429X-13-S1-O40.
    » https://doi.org/10.1186/1532-429X-13-S1-O40
  • 682 Law S, Fontana M, Gillmore JD. Advances in Diagnosis and Treatment of Cardiac and Renal Amyloidosis. Cardiol Clin. 2021;39(3):389-402. doi: 10.1016/j.ccl.2021.04.010.
    » https://doi.org/10.1016/j.ccl.2021.04.010
  • 683 Fontana M, Banypersad SM, Treibel TA, Abdel-Gadir A, Maestrini V, Lane T, et al. Differential Myocyte Responses in Patients with Cardiac Transthyretin Amyloidosis and Light-Chain Amyloidosis: A Cardiac MR Imaging Study. Radiology. 2015;277(2):388-97. doi: 10.1148/radiol.2015141744.
    » https://doi.org/10.1148/radiol.2015141744
  • 684 Jurcuţ R, Onciul S, Adam R, Stan C, Coriu D, Rapezzi C, et al. Multimodality Imaging in Cardiac Amyloidosis: A Primer for Cardiologists. Eur Heart J Cardiovasc Imaging. 2020;21(8):833-44. doi: 10.1093/ehjci/jeaa063.
    » https://doi.org/10.1093/ehjci/jeaa063
  • 685 Vogelsberg H, Mahrholdt H, Deluigi CC, Yilmaz A, Kispert EM, Greulich S, et al. Cardiovascular Magnetic Resonance in Clinically Suspected Cardiac Amyloidosis: Noninvasive Imaging Compared to Endomyocardial Biopsy. J Am Coll Cardiol. 2008;51(10):1022-30. doi: 10.1016/j.jacc.2007.10.049.
    » https://doi.org/10.1016/j.jacc.2007.10.049
  • 686 Fontana M, Pica S, Reant P, Abdel-Gadir A, Treibel TA, Banypersad SM, et al. Prognostic Value of Late Gadolinium Enhancement Cardiovascular Magnetic Resonance in Cardiac Amyloidosis. Circulation. 2015;132(16):1570-9. doi: 10.1161/CIRCULATIONAHA.115.016567.
    » https://doi.org/10.1161/CIRCULATIONAHA.115.016567
  • 687 Martinez-Naharro A, Kotecha T, Norrington K, Boldrini M, Rezk T, Quarta C, et al. Native T1 and Extracellular Volume in Transthyretin Amyloidosis. JACC Cardiovasc Imaging. 2019;12(5):810-19. doi: 10.1016/j.jcmg.2018.02.006.
    » https://doi.org/10.1016/j.jcmg.2018.02.006
  • 688 Garcia-Pavia P, Rapezzi C, Adler Y, Arad M, Basso C, Brucato A, et al. Diagnosis and Treatment of Cardiac Amyloidosis. A Position Statement of the European Society of Cardiology Working Group on Myocardial and Pericardial Diseases. Eur J Heart Fail. 2021;23(4):512-26. doi: 10.1002/ejhf.2140.
    » https://doi.org/10.1002/ejhf.2140
  • 689 Ommen SR, Mital S, Burke MA, Day SM, Deswal A, Elliott P, et al. 2020 AHA/ACC Guideline for the Diagnosis and Treatment of Patients with Hypertrophic Cardiomyopathy: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation. 2020;142(25):e558-e631. doi: 10.1161/CIR.0000000000000937.
    » https://doi.org/10.1161/CIR.0000000000000937
  • 690 Kittleson MM, Ruberg FL, Ambardekar AV, Brannagan TH, Cheng RK, Clarke JO, et al. 2023 ACC Expert Consensus Decision Pathway on Comprehensive Multidisciplinary Care for the Patient with Cardiac Amyloidosis: A Report of the American College of Cardiology Solution Set Oversight Committee. J Am Coll Cardiol. 2023;81(11):1076-126. doi: 10.1016/j.jacc.2022.11.022.
    » https://doi.org/10.1016/j.jacc.2022.11.022
  • 691 Dorbala S, Ando Y, Bokhari S, Dispenzieri A, Falk RH, Ferrari VA, et al. ASNC/AHA/ASE/EANM/HFSA/ISA/SCMR/SNMMI Expert Consensus Recommendations for Multimodality Imaging in Cardiac Amyloidosis: Part 1 of 2-Evidence Base and Standardized Methods of Imaging. Circ Cardiovasc Imaging. 2021;14(7):e000029. doi: 10.1161/HCI.0000000000000029.
    » https://doi.org/10.1161/HCI.0000000000000029
  • 692 Maceira AM, Joshi J, Prasad SK, Moon JC, Perugini E, Harding I, et al. Cardiovascular Magnetic Resonance in Cardiac Amyloidosis. Circulation. 2005;111(2):186-93. doi: 10.1161/01.CIR.0000152819.97857.9D.
    » https://doi.org/10.1161/01.CIR.0000152819.97857.9D
  • 693 Simões MV, Fernandes F, Marcondes-Braga FG, Scheinberg P, Correia EB, Rohde LEP, et al. Position Statement on Diagnosis and Treatment of Cardiac Amyloidosis - 2021. Arq Bras Cardiol. 2021;117(3):561-98. doi: 10.36660/abc.20210718.
    » https://doi.org/10.36660/abc.20210718
  • 694 Boynton SJ, Geske JB, Dispenzieri A, Syed IS, Hanson TJ, Grogan M, et al. LGE Provides Incremental Prognostic Information Over Serum Biomarkers in AL Cardiac Amyloidosis. JACC Cardiovasc Imaging. 2016;9(6):680-6. doi: 10.1016/j.jcmg.2015.10.027.
    » https://doi.org/10.1016/j.jcmg.2015.10.027
  • 695 Kotecha T, Martinez-Naharro A, Treibel TA, Francis R, Nordin S, Abdel-Gadir A, et al. Myocardial Edema and Prognosis in Amyloidosis. J Am Coll Cardiol. 2018;71(25):2919-31. doi: 10.1016/j.jacc.2018.03.536.
    » https://doi.org/10.1016/j.jacc.2018.03.536
  • 696 Lin L, Li X, Feng J, Shen KN, Tian Z, Sun J, Mao YY, et al. The Prognostic Value of T1 Mapping and Late Gadolinium Enhancement Cardiovascular Magnetic Resonance Imaging in Patients with Light Chain Amyloidosis. J Cardiovasc Magn Reson. 2018;20(1):2. doi: 10.1186/s12968-017-0419-6.
    » https://doi.org/10.1186/s12968-017-0419-6
  • 697 Zhao L, Tian Z, Fang Q. Diagnostic Accuracy of Cardiovascular Magnetic Resonance for Patients with Suspected Cardiac Amyloidosis: A Systematic Review and Meta-analysis. BMC Cardiovasc Disord. 2016;16:129. doi: 10.1186/s12872-016-0311-6.
    » https://doi.org/10.1186/s12872-016-0311-6
  • 698 Wood JC. Estimating Tissue Iron Burden: Current Status and Future Prospects. Br J Haematol. 2015;170(1):15-28. doi: 10.1111/bjh.13374.
    » https://doi.org/10.1111/bjh.13374
  • 699 Carpenter JP, He T, Kirk P, Roughton M, Anderson LJ, Noronha SV, et al. On T2* Magnetic Resonance and Cardiac Iron. Circulation. 2011;123(14):1519-28. doi: 10.1161/CIRCULATIONAHA.110.007641.
    » https://doi.org/10.1161/CIRCULATIONAHA.110.007641
  • 700 Fernandes JL, Sampaio EF, Verissimo M, Pereira FB, Silva JA, Figueiredo GS, et al. Heart and Liver T2 Assessment for Iron Overload Using Different Software Programs. Eur Radiol. 2011;21(12):2503-10. doi: 10.1007/s00330-011-2208-1.
    » https://doi.org/10.1007/s00330-011-2208-1
  • 701 Taher AT, Musallam KM, Wood JC, Cappellini MD. Magnetic Resonance Evaluation of Hepatic and Myocardial Iron Deposition in Transfusion-independent Thalassemia Intermedia Compared to Regularly Transfused Thalassemia Major Patients. Am J Hematol. 2010;85(4):288-90. doi: 10.1002/ajh.21626.
    » https://doi.org/10.1002/ajh.21626
  • 702 Fernandes JL. MRI for Iron Overload in Thalassemia. Hematol Oncol Clin North Am. 2018;32(2):277-95. doi: 10.1016/j.hoc.2017.11.012.
    » https://doi.org/10.1016/j.hoc.2017.11.012
  • 703 Kirk P, Roughton M, Porter JB, Walker JM, Tanner MA, Patel J, et al. Cardiac T2* Magnetic Resonance for Prediction of Cardiac Complications in Thalassemia Major. Circulation. 2009;120(20):1961-8. doi: 10.1161/CIRCULATIONAHA.109.874487.
    » https://doi.org/10.1161/CIRCULATIONAHA.109.874487
  • 704 Meloni A, Pistoia L, Gamberini MR, Cuccia L, Lisi R, Cecinati V, et al. Multi-parametric Cardiac Magnetic Resonance for Prediction of Heart Failure Death in Thalassemia Major. Diagnostics. 2023;13(5):890. doi: 10.3390/diagnostics13050890.
    » https://doi.org/10.3390/diagnostics13050890
  • 705 Sirlin CB, Reeder SB. Magnetic Resonance Imaging Quantification of Liver Iron. Magn Reson Imaging Clin N Am. 2010;18(3):359-81. doi: 10.1016/j.mric.2010.08.014.
    » https://doi.org/10.1016/j.mric.2010.08.014
  • 706 Gange CA, Link MS, Maron MS. Utility of Cardiovascular Magnetic Resonance in the Diagnosis of Anderson-Fabry Disease. Circulation. 2009;120(13):e96-7. doi: 10.1161/CIRCULATIONAHA.109.849828.
    » https://doi.org/10.1161/CIRCULATIONAHA.109.849828
  • 707 Monserrat L, Gimeno-Blanes JR, Marín F, Hermida-Prieto M, García-Honrubia A, Pérez I, et al. Prevalence of Fabry Disease in a Cohort of 508 Unrelated Patients with Hypertrophic Cardiomyopathy. J Am Coll Cardiol. 2007;50(25):2399-403. doi: 10.1016/j.jacc.2007.06.062.
    » https://doi.org/10.1016/j.jacc.2007.06.062
  • 708 Patel MR, Cecchi F, Cizmarik M, Kantola I, Linhart A, Nicholls K, et al. Cardiovascular Events in Patients with Fabry Disease Natural History Data from the Fabry Registry. J Am Coll Cardiol. 2011;57(9):1093-9. doi: 10.1016/j.jacc.2010.11.018.
    » https://doi.org/10.1016/j.jacc.2010.11.018
  • 709 Thompson RB, Chow K, Khan A, Chan A, Shanks M, Paterson I, et al. T1 Mapping with Cardiovascular MRI is Highly Sensitive for Fabry Disease Independent of Hypertrophy and Sex. Circ Cardiovasc Imaging. 2013;6(5):637-45. doi: 10.1161/CIRCIMAGING.113.000482.
    » https://doi.org/10.1161/CIRCIMAGING.113.000482
  • 710 De Cobelli F, Esposito A, Belloni E, Pieroni M, Perseghin G, Chimenti C, et al. Delayed-enhanced Cardiac MRI for Differentiation of Fabry's Disease from Symmetric Hypertrophic Cardiomyopathy. AJR Am J Roentgenol. 2009;192(3):W97-102. doi: 10.2214/AJR.08.1201.
    » https://doi.org/10.2214/AJR.08.1201
  • 711 Moon JC, Sachdev B, Elkington AG, McKenna WJ, Mehta A, Pennell DJ, et al. Gadolinium Enhanced Cardiovascular Magnetic Resonance in Anderson-Fabry Disease. Evidence for a Disease Specific Abnormality of the Myocardial Interstitium. Eur Heart J. 2003;24(23):2151-5. doi: 10.1016/j.ehj.2003.09.017.
    » https://doi.org/10.1016/j.ehj.2003.09.017
  • 712 Vertilus SM, Austin SL, Foster KS, Boyette KE, Bali DS, Li JS, et al. Echocardiographic Manifestations of Glycogen Storage Disease III: Increase in Wall Thickness and Left Ventricular Mass Over Time. Genet Med. 2010;12(7):413-23. doi: 10.1097/GIM.0b013e3181e0e979.
    » https://doi.org/10.1097/GIM.0b013e3181e0e979
  • 713 Fadl SA, Revels JW, Gharai LR, Hanneman K, Dana F, Proffitt EK, et al. Cardiac MRI of Hereditary Cardiomyopathy. Radiographics. 2022;42(3):625-43. doi: 10.1148/rg.210147.
    » https://doi.org/10.1148/rg.210147
  • 714 Sugie K, Komaki H, Eura N, Shiota T, Onoue K, Tsukaguchi H, et al. A Nationwide Survey on Danon Disease in Japan. Int J Mol Sci. 2018;19(11):3507. doi: 10.3390/ijms19113507.
    » https://doi.org/10.3390/ijms19113507
  • 715 Fang T, Wang J, Kang Y, Yang F, Xu Y, Wan K, et al. The Value of Cardiac Magnetic Resonance Imaging in Identification of Rare Diseases Mimicking Hypertrophic Cardiomyopathy. J Clin Med. 2021;10(15):3339. doi: 10.3390/jcm10153339.
    » https://doi.org/10.3390/jcm10153339
  • 716 van der Steld LP, Campuzano O, Pérez-Serra A, Zamorano MMB, Matos SS, Brugada R. Wolff-Parkinson-White Syndrome with Ventricular Hypertrophy in a Brazilian Family. Am J Case Rep. 2017;18:766-76. doi: 10.12659/ajcr.904613.
    » https://doi.org/10.12659/ajcr.904613
  • 717 Barker PC, Pasquali SK, Darty S, Ing RJ, Li JS, Kim RJ, et al. Use of Cardiac Magnetic Resonance Imaging to Evaluate Cardiac Structure, Function and Fibrosis in Children with Infantile Pompe Disease on Enzyme Replacement Therapy. Mol Genet Metab. 2010;101(4):332-7. doi: 10.1016/j.ymgme.2010.07.011.
    » https://doi.org/10.1016/j.ymgme.2010.07.011
  • 718 Higuchi ML, Fukasawa S, Brito T, Parzianello LC, Bellotti G, Ramires JA. Different Microcirculatory and Interstitial Matrix Patterns in Idiopathic Dilated Cardiomyopathy and Chagas' Disease: A Three Dimensional Confocal Microscopy Study. Heart. 1999;82(3):279-85. doi: 10.1136/hrt.82.3.279.
    » https://doi.org/10.1136/hrt.82.3.279
  • 719 Jones EM, Colley DG, Tostes S, Lopes ER, Vnencak-Jones CL, McCurley TL. Amplification of a Trypanosoma cruzi DNA Sequence from Inflammatory Lesions in Human Chagasic Cardiomyopathy. Am J Trop Med Hyg. 1993;48(3):348-57. doi: 10.4269/ajtmh.1993.48.348.
    » https://doi.org/10.4269/ajtmh.1993.48.348
  • 720 Rochitte CE, Oliveira PF, Andrade JM, Ianni BM, Parga JR, Avila LF, et al. Myocardial Delayed Enhancement by Magnetic Resonance Imaging in Patients with Chagas' Disease: A Marker of Disease Severity. J Am Coll Cardiol. 2005;46(8):1553-8. doi: 10.1016/j.jacc.2005.06.067.
    » https://doi.org/10.1016/j.jacc.2005.06.067
  • 721 Noya-Rabelo MM, Macedo CT, Larocca T, Machado A, Pacheco T, Torreão J, et al. The Presence and Extension of Myocardial Fibrosis in the Undetermined Form of Chagas' Disease: A Study Using Magnetic Resonance. Arq Bras Cardiol. 2018;110(2):124-31. doi: 10.5935/abc.20180016.
    » https://doi.org/10.5935/abc.20180016
  • 722 Regueiro A, García-Álvarez A, Sitges M, Ortiz-Pérez JT, De Caralt MT, Pinazo MJ, et al. Myocardial Involvement in Chagas Disease: Insights from Cardiac Magnetic Resonance. Int J Cardiol. 2013;165(1):107-12. doi: 10.1016/j.ijcard.2011.07.089.
    » https://doi.org/10.1016/j.ijcard.2011.07.089
  • 723 Torreão JA, Ianni BM, Mady C, Naia E, Rassi CH, Nomura C, et al. Myocardial Tissue Characterization in Chagas' Heart Disease by Cardiovascular Magnetic Resonance. J Cardiovasc Magn Reson. 2015;17:97. doi: 10.1186/s12968-015-0200-7.
    » https://doi.org/10.1186/s12968-015-0200-7
  • 724 Uellendahl M, Siqueira ME, Calado EB, Kalil-Filho R, Sobral D, Ribeiro C, et al. Cardiac Magnetic Resonance-Verified Myocardial Fibrosis in Chagas Disease: Clinical Correlates and Risk Stratification. Arq Bras Cardiol. 2016;107(5):460-6. doi: 10.5935/abc.20160168.
    » https://doi.org/10.5935/abc.20160168
  • 725 Pinheiro MVT, Moll-Bernardes RJ, Camargo GC, Siqueira FP, Azevedo CF, Holanda MT, et al. Associations between Cardiac Magnetic Resonance T1 Mapping Parameters and Ventricular Arrhythmia in Patients with Chagas Disease. Am J Trop Med Hyg. 2020;103(2):745-51. doi: 10.4269/ajtmh.20-0122.
    » https://doi.org/10.4269/ajtmh.20-0122
  • 726 Melendez-Ramirez G, Soto ME, Alvarez LCV, Meave A, Juarez-Orozco LE, Guarner-Lans V, et al. Comparison of the Amount and Patterns of Late Enhancement in Chagas Disease According to the Presence and Type of Ventricular Tachycardia. J Cardiovasc Electrophysiol. 2019;30(9):1517-25. doi: 10.1111/jce.14015.
    » https://doi.org/10.1111/jce.14015
  • 727 Nunes MCP, Beaton A, Acquatella H, Bern C, Bolger AF, Echeverría LE, et al. Chagas Cardiomyopathy: An Update of Current Clinical Knowledge and Management: A Scientific Statement from the American Heart Association. Circulation. 2018;138(12):e169-e209. doi: 10.1161/CIR.0000000000000599.
    » https://doi.org/10.1161/CIR.0000000000000599
  • 728 Oliveira-Filho J, Viana LC, Vieira-de-Melo RM, Faiçal F, Torreão JA, Villar FA, et al. Chagas Disease is an Independent Risk Factor for Stroke: Baseline Characteristics of a Chagas Disease Cohort. Stroke. 2005;36(9):2015-7. doi: 10.1161/01.STR.0000177866.13451.e4.
    » https://doi.org/10.1161/01.STR.0000177866.13451.e4
  • 729 Neri LR, Torreão JA, Porto LM, Gonçalves BM, Andrade AL, Pereira CB, et al. Factors Associated with Abnormal Cardiac Magnetic Resonance Imaging in Embolic Stroke of Undetermined Source. Int J Stroke. 2019;14(4):NP6-NP9. doi: 10.1177/1747493019840928.
    » https://doi.org/10.1177/1747493019840928
  • 730 Senra T, Ianni BM, Costa ACP, Mady C, Martinelli-Filho M, Kalil-Filho R, et al. Long-term Prognostic Value of Myocardial Fibrosis in Patients with Chagas Cardiomyopathy. J Am Coll Cardiol. 2018;72(21):2577-87. doi: 10.1016/j.jacc.2018.08.2195.
    » https://doi.org/10.1016/j.jacc.2018.08.2195
  • 731 Volpe GJ, Moreira HT, Trad HS, Wu KC, Braggion-Santos MF, Santos MK, et al. Left Ventricular Scar and Prognosis in Chronic Chagas Cardiomyopathy. J Am Coll Cardiol. 2018;72(21):2567-76. doi: 10.1016/j.jacc.2018.09.035.
    » https://doi.org/10.1016/j.jacc.2018.09.035
  • 732 Rochitte CE, Nacif MS, Oliveira AC Júnior, Siqueira-Batista R, Marchiori E, Uellendahl M, et al. Cardiac Magnetic Resonance in Chagas' Disease. Artif Organs. 2007;31(4):259-67. doi: 10.1111/j.1525-1594.2007.00373.x.
    » https://doi.org/10.1111/j.1525-1594.2007.00373.x
  • 733 Santos JBF, Gottlieb I, Tassi EM, Camargo GC, Atié J, Xavier SS, et al. Cardiac Fibrosis and Changes in Left Ventricle Function in Patients with Chronic Chagas Heart Disease. Arq Bras Cardiol. 2021;117(6):1081-90. doi: 10.36660/abc.20200597.
    » https://doi.org/10.36660/abc.20200597
  • 734 Moreira HT, Volpe GJ, Mesquita GM, Braggion-Santos MF, Pazin-Filho A, Marin-Neto JA, et al. Association of Left Ventricular Abnormalities with Incident Cerebrovascular Events and Sources of Thromboembolism in Patients with Chronic Chagas Cardiomyopathy. J Cardiovasc Magn Reson. 2022;24(1):52. doi: 10.1186/s12968-022-00885-x.
    » https://doi.org/10.1186/s12968-022-00885-x
  • 735 Takasugi J, Yamagami H, Noguchi T, Morita Y, Tanaka T, Okuno Y, et al. Detection of Left Ventricular Thrombus by Cardiac Magnetic Resonance in Embolic Stroke of Undetermined Source. Stroke. 2017;48(9):2434-40. doi: 10.1161/STROKEAHA.117.018263.
    » https://doi.org/10.1161/STROKEAHA.117.018263
  • 736 Diaz A, Diaztagle JJ, Olaya A, Mora G, López-Lima I, Ayala C, et al. Cardiovascular Magnetic Resonance Imaging Evidence of Edema in Chronic Chagasic Cardiomyopathy. Cardiol Res Pract. 2019;2019:6420364. doi: 10.1155/2019/6420364.
    » https://doi.org/10.1155/2019/6420364
  • 737 Dalal D, Nasir K, Bomma C, Prakasa K, Tandri H, Piccini J, et al. Arrhythmogenic Right Ventricular Dysplasia: A United States Experience. Circulation. 2005;112(25):3823-32. doi: 10.1161/CIRCULATIONAHA.105.542266.
    » https://doi.org/10.1161/CIRCULATIONAHA.105.542266
  • 738 Marcus FI, Fontaine GH, Guiraudon G, Frank R, Laurenceau JL, Malergue C, et al. Right Ventricular Dysplasia: A Report of 24 Adult Cases. Circulation. 1982;65(2):384-98. doi: 10.1161/01.cir.65.2.384.
    » https://doi.org/10.1161/01.cir.65.2.384
  • 739 Smith ED, Lakdawala NK, Papoutsidakis N, Aubert G, Mazzanti A, McCanta AC, et al. Desmoplakin Cardiomyopathy, a Fibrotic and Inflammatory form of Cardiomyopathy Distinct From Typical Dilated or Arrhythmogenic Right Ventricular Cardiomyopathy. Circulation. 2020;141(23):1872-84. doi: 10.1161/CIRCULATIONAHA.119.044934.
    » https://doi.org/10.1161/CIRCULATIONAHA.119.044934
  • 740 Tabib A, Loire R, Chalabreysse L, Meyronnet D, Miras A, Malicier D, et al. Circumstances of Death and Gross and Microscopic Observations in a Series of 200 Cases of Sudden Death Associated with Arrhythmogenic Right Ventricular Cardiomyopathy and/or Dysplasia. Circulation. 2003;108(24):3000-5. doi: 10.1161/01.CIR.0000108396.65446.21.
    » https://doi.org/10.1161/01.CIR.0000108396.65446.21
  • 741 Gerull B, Heuser A, Wichter T, Paul M, Basson CT, McDermott DA, et al. Mutations in the Desmosomal Protein Plakophilin-2 are Common in Arrhythmogenic Right Ventricular Cardiomyopathy. Nat Genet. 2004;36(11):1162-4. doi: 10.1038/ng1461.
    » https://doi.org/10.1038/ng1461
  • 742 Burke AP, Farb A, Tashko G, Virmani R. Arrhythmogenic Right Ventricular Cardiomyopathy and Fatty Replacement of the Right Ventricular Myocardium: Are they Different Diseases? Circulation. 1998;97(16):1571-80. doi: 10.1161/01.cir.97.16.1571.
    » https://doi.org/10.1161/01.cir.97.16.1571
  • 743 Tandri H, Castillo E, Ferrari VA, Nasir K, Dalal D, Bomma C, et al. Magnetic Resonance Imaging of Arrhythmogenic Right Ventricular Dysplasia: Sensitivity, Specificity, and Observer Variability of fat Detection Versus Functional Analysis of the Right Ventricle. J Am Coll Cardiol. 2006;48(11):2277-84. doi: 10.1016/j.jacc.2006.07.051.
    » https://doi.org/10.1016/j.jacc.2006.07.051
  • 744 Tandri H, Saranathan M, Rodriguez ER, Martinez C, Bomma C, Nasir K, et al. Noninvasive Detection of Myocardial Fibrosis in Arrhythmogenic Right Ventricular Cardiomyopathy Using Delayed-Enhancement Magnetic Resonance Imaging. J Am Coll Cardiol. 2005;45(1):98-103. doi: 10.1016/j.jacc.2004.09.053.
    » https://doi.org/10.1016/j.jacc.2004.09.053
  • 745 Wallace R, Calkins H. Risk Stratification in Arrhythmogenic Right Ventricular Cardiomyopathy. Arrhythm Electrophysiol Rev. 2021;10(1):26-32. doi: 10.15420/aer.2020.39.
    » https://doi.org/10.15420/aer.2020.39
  • 746 McKenna WJ, Thiene G, Nava A, Fontaliran F, Blomstrom-Lundqvist C, Fontaine G, et al. Diagnosis of Arrhythmogenic Right Ventricular Dysplasia/Cardiomyopathy. Task Force of the Working Group Myocardial and Pericardial Disease of the European Society of Cardiology and of the Scientific Council on Cardiomyopathies of the International Society and Federation of Cardiology. Br Heart J. 1994;71(3):215-8. doi: 10.1136/hrt.71.3.215.
    » https://doi.org/10.1136/hrt.71.3.215
  • 747 Marcus FI, McKenna WJ, Sherrill D, Basso C, Bauce B, Bluemke DA, et al. Diagnosis of Arrhythmogenic Right Ventricular Cardiomyopathy/Dysplasia: Proposed Modification of the Task Force Criteria. Circulation. 2010;121(13):1533-41. doi: 10.1161/CIRCULATIONAHA.108.840827.
    » https://doi.org/10.1161/CIRCULATIONAHA.108.840827
  • 748 Cipriani A, Mattesi G, Bariani R, Cecere A, Martini N, De Michieli L, et al. Cardiac Magnetic Resonance Imaging of Arrhythmogenic Cardiomyopathy: Evolving Diagnostic Perspectives. Eur Radiol. 2023;33(1):270-82. doi: 10.1007/s00330-022-08958-2.
    » https://doi.org/10.1007/s00330-022-08958-2
  • 749 Georgiopoulos G, Zampieri M, Molaro S, Chaloupka A, Aimo A, Barra B, et al. Cardiac Magnetic Resonance in Patients with ARVC and Family Members: The Potential Role of Native T1 Mapping. Int J Cardiovasc Imaging. 2021;37(6):2037-47. doi: 10.1007/s10554-021-02166-7.
    » https://doi.org/10.1007/s10554-021-02166-7
  • 750 Corrado D, Marra MP, Zorzi A, Beffagna G, Cipriani A, Lazzari M, et al. Diagnosis of Arrhythmogenic Cardiomyopathy: The Padua Criteria. Int J Cardiol. 2020;319:106-14. doi: 10.1016/j.ijcard.2020.06.005.
    » https://doi.org/10.1016/j.ijcard.2020.06.005
  • 751 Towbin JA, McKenna WJ, Abrams DJ, Ackerman MJ, Calkins H, Darrieux FCC, et al. 2019 HRS Expert Consensus Statement on Evaluation, Risk Stratification, and Management of Arrhythmogenic Cardiomyopathy. Heart Rhythm. 2019;16(11):e301-e372. doi: 10.1016/j.hrthm.2019.05.007.
    » https://doi.org/10.1016/j.hrthm.2019.05.007
  • 752 Calò L, Oliviero G, Crescenzi C, Romeo F, Martino A, Bressi E, et al. Electrocardiogram in Arrhytmogenic Cardiomyopathy. Eur Heart J Suppl. 2023;25(Suppl C):C169-C172. doi: 10.1093/eurheartjsupp/suad019.
    » https://doi.org/10.1093/eurheartjsupp/suad019
  • 753 Nasir K, Bomma C, Tandri H, Roguin A, Dalal D, Prakasa K, et al. Electrocardiographic Features of Arrhythmogenic Right Ventricular Dysplasia/Cardiomyopathy According to Disease Severity: A Need to Broaden Diagnostic Criteria. Circulation. 2004;110(12):1527-34. doi: 10.1161/01.CIR.0000142293.60725.18.
    » https://doi.org/10.1161/01.CIR.0000142293.60725.18
  • 754 Steriotis AK, Bauce B, Daliento L, Rigato I, Mazzotti E, Folino AF, et al. Electrocardiographic Pattern in Arrhythmogenic Right Ventricular Cardiomyopathy. Am J Cardiol. 2009;103(9):1302-8. doi: 10.1016/j.amjcard.2009.01.017.
    » https://doi.org/10.1016/j.amjcard.2009.01.017
  • 755 Aquaro GD, De Luca A, Cappelletto C, Raimondi F, Bianco F, Botto N, et al. Prognostic Value of Magnetic Resonance Phenotype in Patients with Arrhythmogenic Right Ventricular Cardiomyopathy. J Am Coll Cardiol. 2020;75(22):2753-65. doi: 10.1016/j.jacc.2020.04.023.
    » https://doi.org/10.1016/j.jacc.2020.04.023
  • 756 Aquaro GD, Pingitore A, Di Bella G, Piaggi P, Gaeta R, Grigoratos C, et al. Prognostic Role of Cardiac Magnetic Resonance in Arrhythmogenic Right Ventricular Cardiomyopathy. Am J Cardiol. 2018;122(10):1745-53. doi: 10.1016/j.amjcard.2018.08.007.
    » https://doi.org/10.1016/j.amjcard.2018.08.007
  • 757 Miles C, Finocchiaro G, Papadakis M, Gray B, Westaby J, Ensam B, et al. Sudden Death and Left Ventricular Involvement in Arrhythmogenic Cardiomyopathy. Circulation. 2019;139(15):1786-97. doi: 10.1161/CIRCULATIONAHA.118.037230.
    » https://doi.org/10.1161/CIRCULATIONAHA.118.037230
  • 758 Hunninghake GW, Costabel U, Ando M, Baughman R, Cordier JF, du Bois R, et al. ATS/ERS/WASOG Statement on Sarcoidosis. American Thoracic Society/European Respiratory Society/World Association of Sarcoidosis and other Granulomatous Disorders. Sarcoidosis Vasc Diffuse Lung Dis. 1999;16(2):149-73. doi: 1034/j.1399-3003.1999.14d02.x.
    » https://doi.org/1034/j.1399-3003.1999.14d02.x
  • 759 Kouranos V, Sharma R. Cardiac Sarcoidosis: State-of-the-art Review. Heart. 2021;107(19):1591-9. doi: 10.1136/heartjnl-2019-316442.
    » https://doi.org/10.1136/heartjnl-2019-316442
  • 760 Matsui Y, Iwai K, Tachibana T, Fruie T, Shigematsu N, Izumi T, et al. Clinicopathological Study of Fatal Myocardial Sarcoidosis. Ann N Y Acad Sci. 1976;278:455-69. doi: 10.1111/j.1749-6632.1976.tb47058.x.
    » https://doi.org/10.1111/j.1749-6632.1976.tb47058.x
  • 761 Silverman KJ, Hutchins GM, Bulkley BH. Cardiac Sarcoid: A Clinicopathologic Study of 84 Unselected Patients with Systemic Sarcoidosis. Circulation. 1978;58(6):1204-11. doi: 10.1161/01.cir.58.6.1204.
    » https://doi.org/10.1161/01.cir.58.6.1204
  • 762 Trivieri MG, Spagnolo P, Birnie D, Liu P, Drake W, Kovacic JC, et al. Challenges in Cardiac and Pulmonary Sarcoidosis: JACC State-of-the-Art Review. J Am Coll Cardiol. 2020;76(16):1878-901. doi: 10.1016/j.jacc.2020.08.042.
    » https://doi.org/10.1016/j.jacc.2020.08.042
  • 763 Yeboah J, Lee C, Sharma OP. Cardiac Sarcoidosis: A Review 2011. Curr Opin Pulm Med. 2011;17(5):308-15. doi: 10.1097/MCP.0b013e328349637a.
    » https://doi.org/10.1097/MCP.0b013e328349637a
  • 764 Kandolin R, Lehtonen J, Graner M, Schildt J, Salmenkivi K, Kivistö SM, et al. Diagnosing Isolated Cardiac Sarcoidosis. J Intern Med. 2011;270(5):461-8. doi: 10.1111/j.1365-2796.2011.02396.x.
    » https://doi.org/10.1111/j.1365-2796.2011.02396.x
  • 765 Tavora F, Cresswell N, Li L, Ripple M, Solomon C, Burke A. Comparison of Necropsy Findings in Patients with Sarcoidosis Dying Suddenly from Cardiac Sarcoidosis Versus Dying Suddenly from Other Causes. Am J Cardiol. 2009;104(4):571-7. doi: 10.1016/j.amjcard.2009.03.068.
    » https://doi.org/10.1016/j.amjcard.2009.03.068
  • 766 Youssef G, Beanlands RS, Birnie DH, Nery PB. Cardiac Sarcoidosis: Applications of Imaging in Diagnosis and Directing Treatment. Heart. 2011;97(24):2078-87. doi: 10.1136/hrt.2011.226076.
    » https://doi.org/10.1136/hrt.2011.226076
  • 767 Seward JB, Casaclang-Verzosa G. Infiltrative Cardiovascular Diseases: Cardiomyopathies That Look Alike. J Am Coll Cardiol. 2010;55(17):1769-79. doi: 10.1016/j.jacc.2009.12.040.
    » https://doi.org/10.1016/j.jacc.2009.12.040
  • 768 Habib G, Bucciarelli-Ducci C, Caforio ALP, Cardim N, Charron P, Cosyns B, et al. Multimodality Imaging in Restrictive Cardiomyopathies: An EACVI Expert Consensus document In collaboration with the "Working Group on Myocardial and Pericardial Diseases" of the European Society of Cardiology Endorsed by The Indian Academy of Echocardiography. Eur Heart J Cardiovasc Imaging. 2017;18(10):1090-121. doi: 10.1093/ehjci/jex034.
    » https://doi.org/10.1093/ehjci/jex034
  • 769 Kouranos V, Tzelepis GE, Rapti A, Mavrogeni S, Aggeli K, Douskou M, et al. Complementary Role of CMR to Conventional Screening in the Diagnosis and Prognosis of Cardiac Sarcoidosis. JACC Cardiovasc Imaging. 2017;10(12):1437-47. doi: 10.1016/j.jcmg.2016.11.019.
    » https://doi.org/10.1016/j.jcmg.2016.11.019
  • 770 Nadel J, Lancefield T, Voskoboinik A, Taylor AJ. Late Gadolinium Enhancement Identified with Cardiac Magnetic Resonance Imaging in Sarcoidosis Patients is Associated with Long-term Ventricular Arrhythmia and Sudden Cardiac Death. Eur Heart J Cardiovasc Imaging. 2015;16(6):634-41. doi: 10.1093/ehjci/jeu294.
    » https://doi.org/10.1093/ehjci/jeu294
  • 771 Birnie DH, Sauer WH, Judson MA. Consensus Statement on the Diagnosis and Management of Arrhythmias Associated with Cardiac Sarcoidosis. Heart. 2016;102(6):411-4. doi: 10.1136/heartjnl-2015-308708.
    » https://doi.org/10.1136/heartjnl-2015-308708
  • 772 Writing Group; Document Reading Group; EACVI Reviewers: This Document was Reviewed by Members of the EACVI Scientific Documents Committee for 2014–2016 and 2016–2018. A Joint Procedural Position Statement on Imaging in Cardiac Sarcoidosis: from the Cardiovascular and Inflammation & Infection Committees of the European Association of Nuclear Medicine, the European Association of Cardiovascular Imaging, and the American Society of Nuclear Cardiology. Eur Heart J Cardiovasc Imaging. 2017;18(10):1073-89. doi: 10.1093/ehjci/jex146.
    » https://doi.org/10.1093/ehjci/jex146
  • 773 Feng Y, Ning L, Zhang J, Wang H, Zhang H, Zhang R, et al. Prognosis and Subtype Analysis of Left Ventricular Noncompaction in Adults: A Retrospective Multicenter study. Clin Cardiol. 2023;46(4):390-6. doi: 10.1002/clc.23991.
    » https://doi.org/10.1002/clc.23991
  • 774 Arbustini E, Weidemann F, Hall JL. Left Ventricular Noncompaction: A Distinct Cardiomyopathy or a Trait Shared by Different Cardiac Diseases? J Am Coll Cardiol. 2014;64(17):1840-50. doi: 10.1016/j.jacc.2014.08.030.
    » https://doi.org/10.1016/j.jacc.2014.08.030
  • 775 Petersen SE, Selvanayagam JB, Wiesmann F, Robson MD, Francis JM, Anderson RH, et al. Left Ventricular Non-compaction: Insights from Cardiovascular Magnetic Resonance Imaging. J Am Coll Cardiol. 2005;46(1):101-5. doi: 10.1016/j.jacc.2005.03.045.
    » https://doi.org/10.1016/j.jacc.2005.03.045
  • 776 Wan J, Zhao S, Cheng H, Lu M, Jiang S, Yin G, et al. Varied distributions of late Gadolinium Enhancement Found among Patients Meeting Cardiovascular Magnetic Resonance Criteria for Isolated Left Ventricular Non-compaction. J Cardiovasc Magn Reson. 2013;15(1):20. doi: 10.1186/1532-429X-15-20.
    » https://doi.org/10.1186/1532-429X-15-20
  • 777 Grigoratos C, Barison A, Ivanov A, Andreini D, Amzulescu MS, Mazurkiewicz L, et al. Meta-analysis of the Prognostic Role of Late Gadolinium Enhancement and Global Systolic Impairment in Left Ventricular Noncompaction. JACC Cardiovasc Imaging. 2019;12(11 Pt 1):2141-51. doi: 10.1016/j.jcmg.2018.12.029.
    » https://doi.org/10.1016/j.jcmg.2018.12.029
  • 778 Araujo-Filho JAB, Assuncao AN Jr, Melo MDT, Bière L, Lima CR, Dantas RN Jr, et al. Myocardial T1 Mapping and Extracellular Volume Quantification in Patients with Left Ventricular Non-compaction Cardiomyopathy. Eur Heart J Cardiovasc Imaging. 2018;19(8):888-95. doi: 10.1093/ehjci/jey022.
    » https://doi.org/10.1093/ehjci/jey022
  • 779 Andreini D, Pontone G, Bogaert J, Roghi A, Barison A, Schwitter J, et al. Long-Term Prognostic Value of Cardiac Magnetic Resonance in Left Ventricle Noncompaction: A Prospective Multicenter Study. J Am Coll Cardiol. 2016;68(20):2166-81. doi: 10.1016/j.jacc.2016.08.053.
    » https://doi.org/10.1016/j.jacc.2016.08.053
  • 780 Grothoff M, Pachowsky M, Hoffmann J, Posch M, Klaassen S, Lehmkuhl L, et al. Value of Cardiovascular MR in Diagnosing Left Ventricular Non-compaction Cardiomyopathy and in Discriminating between Other Cardiomyopathies. Eur Radiol. 2012;22(12):2699-709. doi: 10.1007/s00330-012-2554-7.
    » https://doi.org/10.1007/s00330-012-2554-7
  • 781 Petersen SE, Jensen B, Aung N, Friedrich MG, McMahon CJ, Mohiddin SA, et al. Excessive Trabeculation of the Left Ventricle: JACC: Cardiovascular Imaging Expert Panel Paper. JACC Cardiovasc Imaging. 2023;16(3):408-25. doi: 10.1016/j.jcmg.2022.12.026.
    » https://doi.org/10.1016/j.jcmg.2022.12.026
  • 782 Fishbein MC, Siegel RJ, Thompson CE, Hopkins LC. Sudden Death of a Carrier of X-linked Emery-Dreifuss Muscular Dystrophy. Ann Intern Med. 1993;119(9):900-5. doi: 10.7326/0003-4819-119-9-199311010-00006.
    » https://doi.org/10.7326/0003-4819-119-9-199311010-00006
  • 783 Ishikawa K, Mimuro M, Tanaka T. Ventricular Arrhythmia in X-linked Emery-Dreifuss Muscular Dystrophy: A Lesson from an Autopsy Case. Intern Med. 2011;50(5):459-62. doi: 10.2169/internalmedicine.50.4598.
    » https://doi.org/10.2169/internalmedicine.50.4598
  • 784 Nigro G, Comi LI, Politano L, Bain RJ. The Incidence and Evolution of Cardiomyopathy in Duchenne Muscular Dystrophy. Int J Cardiol. 1990;26(3):271-7. doi: 10.1016/0167-5273(90)90082-g.
    » https://doi.org/10.1016/0167-5273(90)90082-g
  • 785 Norwood F, Visser M, Eymard B, Lochmüller H, Bushby K; EFNS Guideline Task Force. EFNS Guideline on Diagnosis and Management of Limb Girdle Muscular Dystrophies. Eur J Neurol. 2007;14(12):1305-12. doi: 10.1111/j.1468-1331.2007.01979.x.
    » https://doi.org/10.1111/j.1468-1331.2007.01979.x
  • 786 Groh WJ. Arrhythmias in the Muscular Dystrophies. Heart Rhythm. 2012;9(11):1890-5. doi: 10.1016/j.hrthm.2012.06.038.
    » https://doi.org/10.1016/j.hrthm.2012.06.038
  • 787 Perloff JK, Stevenson WG, Roberts NK, Cabeen W, Weiss J. Cardiac Involvement in Myotonic Muscular Dystrophy (Steinert's Disease): A Prospective Study of 25 Patients. Am J Cardiol. 1984;54(8):1074-81. doi: 10.1016/s0002-9149(84)80147-2.
    » https://doi.org/10.1016/s0002-9149(84)80147-2
  • 788 Hunsaker RH, Fulkerson PK, Barry FJ, Lewis RP, Leier CV, Unverferth DV. Cardiac Function in Duchenne's Muscular Dystrophy. Results of 10-year Follow-up Study and Noninvasive Tests. Am J Med. 1982;73(2):235-8. doi: 10.1016/0002-9343(82)90184-x.
    » https://doi.org/10.1016/0002-9343(82)90184-x
  • 789 Eagle M, Baudouin SV, Chandler C, Giddings DR, Bullock R, Bushby K. Survival in Duchenne Muscular Dystrophy: Improvements in Life Expectancy Since 1967 and the Impact of Home Nocturnal Ventilation. Neuromuscul Disord. 2002;12(10):926-9. doi: 10.1016/s0960-8966(02)00140-2.
    » https://doi.org/10.1016/s0960-8966(02)00140-2
  • 790 Eagle M, Bourke J, Bullock R, Gibson M, Mehta J, Giddings D, et al. Managing Duchenne Muscular Dystrophy--the Additive Effect of Spinal Surgery and Home Nocturnal Ventilation in Improving Survival. Neuromuscul Disord. 2007;17(6):470-5. doi: 10.1016/j.nmd.2007.03.002.
    » https://doi.org/10.1016/j.nmd.2007.03.002
  • 791 American Academy of Pediatrics Section on Cardiology and Cardiac Surgery. Cardiovascular Health Supervision for Individuals Affected by Duchenne or Becker Muscular Dystrophy. Pediatrics. 2005;116(6):1569-73. doi: 10.1542/peds.2005-2448.
    » https://doi.org/10.1542/peds.2005-2448
  • 792 Blaszczyk E, Gröschel J, Schulz-Menger J. Role of CMR Imaging in Diagnostics and Evaluation of Cardiac Involvement in Muscle Dystrophies. Curr Heart Fail Rep. 2021;18(4):211-24. doi: 10.1007/s11897-021-00521-2.
    » https://doi.org/10.1007/s11897-021-00521-2
  • 793 Hor KN, Taylor MD, Al-Khalidi HR, Cripe LH, Raman SV, Jefferies JL, et al. Prevalence and Distribution of Late Gadolinium Enhancement in a Large Population of Patients with Duchenne Muscular Dystrophy: Effect of Age and Left Ventricular Systolic Function. J Cardiovasc Magn Reson. 2013;15(1):107. doi: 10.1186/1532-429X-15-107.
    » https://doi.org/10.1186/1532-429X-15-107
  • 794 Lamacie MM, Warman-Chardon J, Crean AM, Florian A, Wahbi K. The Added Value of Cardiac Magnetic Resonance in Muscular Dystrophies. J Neuromuscul Dis. 2019;6(4):389-99. doi: 10.3233/JND-190415.
    » https://doi.org/10.3233/JND-190415
  • 795 Mavrogeni S, Papavasiliou A, Giannakopoulou K, Markousis-Mavrogenis G, Pons MR, Karanasios E, et al. Oedema-fibrosis in Duchenne Muscular Dystrophy: Role of Cardiovascular Magnetic Resonance Imaging. Eur J Clin Invest. 2017;47(12). doi: 10.1111/eci.12843.
    » https://doi.org/10.1111/eci.12843
  • 796 Menon SC, Etheridge SP, Liesemer KN, Williams RV, Bardsley T, Heywood MC, et al. Predictive Value of Myocardial Delayed Enhancement in Duchenne Muscular Dystrophy. Pediatr Cardiol. 2014;35(7):1279-85. doi: 10.1007/s00246-014-0929-z.
    » https://doi.org/10.1007/s00246-014-0929-z
  • 797 Silva MC, Meira ZM, Giannetti JG, Silva MM, Campos AF, Barbosa MM, et al. Myocardial Delayed Enhancement by Magnetic Resonance Imaging in Patients with Muscular Dystrophy. J Am Coll Cardiol. 2007;49(18):1874-9. doi: 10.1016/j.jacc.2006.10.078.
    » https://doi.org/10.1016/j.jacc.2006.10.078
  • 798 Verhaert D, Richards K, Rafael-Fortney JA, Raman SV. Cardiac Involvement in Patients with Muscular Dystrophies: Magnetic Resonance Imaging Phenotype and Genotypic Considerations. Circ Cardiovasc Imaging. 2011;4(1):67-76. doi: 10.1161/CIRCIMAGING.110.960740.
    » https://doi.org/10.1161/CIRCIMAGING.110.960740
  • 799 Duboc D, Meune C, Lerebours G, Devaux JY, Vaksmann G, Bécane HM. Effect of Perindopril on the Onset and Progression of Left Ventricular Dysfunction in Duchenne Muscular Dystrophy. J Am Coll Cardiol. 2005;45(6):855-7. doi: 10.1016/j.jacc.2004.09.078.
    » https://doi.org/10.1016/j.jacc.2004.09.078
  • 800 Matsumura T, Tamura T, Kuru S, Kikuchi Y, Kawai M. Carvedilol can Prevent Cardiac Events in Duchenne Muscular Dystrophy. Intern Med. 2010;49(14):1357-63. doi: 10.2169/internalmedicine.49.3259.
    » https://doi.org/10.2169/internalmedicine.49.3259
  • 801 Silva MC, Magalhães TA, Meira ZM, Rassi CH, Andrade AC, Gutierrez PS, et al. Myocardial Fibrosis Progression in Duchenne and Becker Muscular Dystrophy: A Randomized Clinical Trial. JAMA Cardiol. 2017;2(2):190-9. doi: 10.1001/jamacardio.2016.4801.
    » https://doi.org/10.1001/jamacardio.2016.4801
  • 802 Bushby K, Finkel R, Birnkrant DJ, Case LE, Clemens PR, Cripe L, et al. Diagnosis and Management of Duchenne Muscular Dystrophy, Part 1: Diagnosis, and Pharmacological and Psychosocial Management. Lancet Neurol. 2010;9(1):77-93. doi: 10.1016/S1474-4422(09)70271-6.
    » https://doi.org/10.1016/S1474-4422(09)70271-6
  • 803 McNally EM, Kaltman JR, Benson DW, Canter CE, Cripe LH, Duan D, et al. Contemporary Cardiac Issues in Duchenne Muscular Dystrophy. Working Group of the National Heart, Lung, and Blood Institute in Collaboration with Parent Project Muscular Dystrophy. Circulation. 2015;131(18):1590-8. doi: 10.1161/CIRCULATIONAHA.114.015151.
    » https://doi.org/10.1161/CIRCULATIONAHA.114.015151
  • 804 Wang CH, Bonnemann CG, Rutkowski A, Sejersen T, Bellini J, Battista V, et al. Consensus Statement on Standard of Care for Congenital Muscular Dystrophies. J Child Neurol. 2010;25(12):1559-81. doi: 10.1177/0883073810381924.
    » https://doi.org/10.1177/0883073810381924
  • 805 Florian A, Rösch S, Bietenbeck M, Engelen M, Stypmann J, Waltenberger J, et al. Cardiac Involvement in Female Duchenne and Becker Muscular Dystrophy Carriers in Comparison to Their first-degree Male Relatives: A Comparative Cardiovascular Magnetic Resonance Study. Eur Heart J Cardiovasc Imaging. 2016;17(3):326-33. doi: 10.1093/ehjci/jev161.
    » https://doi.org/10.1093/ehjci/jev161
  • 806 Feingold B, Mahle WT, Auerbach S, Clemens P, Domenighetti AA, Jefferies JL, et al. Management of Cardiac Involvement Associated with Neuromuscular Diseases: A Scientific Statement from the American Heart Association. Circulation. 2017;136(13):e200-e231. doi: 10.1161/CIR.0000000000000526.
    » https://doi.org/10.1161/CIR.0000000000000526
  • 807 Rohde LEP, Montera MW, Bocchi EA, Clausell NO, Albuquerque DC, Rassi S, et al. Diretriz Brasileira de Insuficiência Cardíaca Crônica e Aguda. Arq Bras Cardiol. 2018;111(3):436-539. doi: 10.5935/abc.20180190.
    » https://doi.org/10.5935/abc.20180190
  • 808 Sliwa K, Petrie MC, van der Meer P, Mebazaa A, Hilfiker-Kleiner D, Jackson AM, et al. Clinical Presentation, Management, and 6-month Outcomes in Women with Peripartum Cardiomyopathy: An ESC EORP Registry. Eur Heart J. 2020;41(39):3787-97. doi: 10.1093/eurheartj/ehaa455.
    » https://doi.org/10.1093/eurheartj/ehaa455
  • 809 Kanal E, Barkovich AJ, Bell C, Borgstede JP, Bradley WG Jr, Froelich JW, et al. ACR Guidance Document for Safe MR Practices: 2007. AJR Am J Roentgenol. 2007;188(6):1447-74. doi: 10.2214/AJR.06.1616.
    » https://doi.org/10.2214/AJR.06.1616
  • 810 Webb JA, Thomsen HS, Morcos SK; Members of Contrast Media Safety Committee of European Society of Urogenital Radiology (ESUR). The Use of Iodinated and Gadolinium Contrast Media During Pregnancy and Lactation. Eur Radiol. 2005;15(6):1234-40. doi: 10.1007/s00330-004-2583-y.
    » https://doi.org/10.1007/s00330-004-2583-y
  • 811 Blauwet LA, Delgado-Montero A, Ryo K, Marek JJ, Alharethi R, Mather PJ, et al. Right Ventricular Function in Peripartum Cardiomyopathy at Presentation Is Associated with Subsequent Left Ventricular Recovery and Clinical Outcomes. Circ Heart Fail. 2016;9(5):e002756. doi: 10.1161/CIRCHEARTFAILURE.115.002756.
    » https://doi.org/10.1161/CIRCHEARTFAILURE.115.002756
  • 812 Haghikia A, Röntgen P, Vogel-Claussen J, Schwab J, Westenfeld R, Ehlermann P, et al. Prognostic Implication of Right Ventricular Involvement in Peripartum Cardiomyopathy: A Cardiovascular Magnetic Resonance Study. ESC Heart Fail. 2015;2(4):139-49. doi: 10.1002/ehf2.12059.
    » https://doi.org/10.1002/ehf2.12059
  • 813 Sliwa K, Bauersachs J, Arany Z, Spracklen TF, Hilfiker-Kleiner D. Peripartum Cardiomyopathy: From Genetics to Management. Eur Heart J. 2021;42(32):3094-102. doi: 10.1093/eurheartj/ehab458.
    » https://doi.org/10.1093/eurheartj/ehab458
  • 814 Arora NP, Mohamad T, Mahajan N, Danrad R, Kottam A, Li T, et al. Cardiac Magnetic Resonance Imaging in Peripartum Cardiomyopathy. Am J Med Sci. 2014;347(2):112-7. doi: 10.1097/MAJ.0b013e31828155e3.
    » https://doi.org/10.1097/MAJ.0b013e31828155e3
  • 815 Renz DM, Röttgen R, Habedank D, Wagner M, Böttcher J, Pfeil A, et al. New Insights Into Peripartum Cardiomyopathy Using Cardiac Magnetic Resonance Imaging. Rofo. 2011;183(9):834-41. doi: 10.1055/s-0031-1281600.
    » https://doi.org/10.1055/s-0031-1281600
  • 816 Schelbert EB, Elkayam U, Cooper LT, Givertz MM, Alexis JD, Briller J, et al. Myocardial Damage Detected by Late Gadolinium Enhancement Cardiac Magnetic Resonance Is Uncommon in Peripartum Cardiomyopathy. J Am Heart Assoc. 2017;6(4):e005472. doi: 10.1161/JAHA.117.005472.
    » https://doi.org/10.1161/JAHA.117.005472
  • 817 Isaak A, Ayub TH, Merz WM, Faron A, Endler C, Sprinkart AM, et al. Peripartum Cardiomyopathy: Diagnostic and Prognostic Value of Cardiac Magnetic Resonance in the Acute Stage. Diagnostics. 2022;12(2):378. doi: 10.3390/diagnostics12020378.
    » https://doi.org/10.3390/diagnostics12020378
  • 818 Mouquet F, Lions C, De Groote P, Bouabdallaoui N, Willoteaux S, Dagorn J, et al. Characterisation of Peripartum Cardiomyopathy by Cardiac Magnetic Resonance Imaging. Eur Radiol. 2008;18(12):2765-9. doi: 10.1007/s00330-008-1067-x.
    » https://doi.org/10.1007/s00330-008-1067-x
  • 819 Ricci F, De Innocentiis C, Verrengia E, Ceriello L, Mantini C, Pietrangelo C, et al. The Role of Multimodality Cardiovascular Imaging in Peripartum Cardiomyopathy. Front Cardiovasc Med. 2020;7:4. doi: 10.3389/fcvm.2020.00004.
    » https://doi.org/10.3389/fcvm.2020.00004
  • 820 Liang YD, Xu YW, Li WH, Wan K, Sun JY, Lin JY, et al. Left Ventricular Function Recovery in Peripartum Cardiomyopathy: A Cardiovascular Magnetic Resonance Study by Myocardial T1 and T2 Mapping. J Cardiovasc Magn Reson. 2020;22(1):2. doi: 10.1186/s12968-019-0590-z.
    » https://doi.org/10.1186/s12968-019-0590-z
  • 821 Mavrogeni SI, Sfikakis PP, Koutsogeorgopoulou L, Markousis-Mavrogenis G, Dimitroulas T, Kolovou G, et al. Cardiac Tissue Characterization and Imaging in Autoimmune Rheumatic Diseases. JACC Cardiovasc Imaging. 2017;10(11):1387-96. doi: 10.1016/j.jcmg.2017.08.017.
    » https://doi.org/10.1016/j.jcmg.2017.08.017
  • 822 Prasad M, Hermann J, Gabriel SE, Weyand CM, Mulvagh S, Mankad R, et al. Cardiorheumatology: Cardiac Involvement in Systemic Rheumatic Disease. Nat Rev Cardiol. 2015;12(3):168-76. doi: 10.1038/nrcardio.2014.206.
    » https://doi.org/10.1038/nrcardio.2014.206
  • 823 Kobayashi Y, Giles JT, Hirano M, Yokoe I, Nakajima Y, Bathon JM, et al. Assessment of Myocardial Abnormalities in Rheumatoid Arthritis Using a Comprehensive Cardiac Magnetic Resonance Approach: A Pilot Study. Arthritis Res Ther. 2010;12(5):R171. doi: 10.1186/ar3131.
    » https://doi.org/10.1186/ar3131
  • 824 Pugnet G, Gouya H, Puéchal X, Terrier B, Kahan A, Legmann P, et al. Cardiac Involvement in Granulomatosis with Polyangiitis: A Magnetic Resonance Imaging Study of 31 Consecutive Patients. Rheumatology. 2017;56(6):947-56. doi: 10.1093/rheumatology/kew490.
    » https://doi.org/10.1093/rheumatology/kew490
  • 825 Ishimori ML, Martin R, Berman DS, Goykhman P, Shaw LJ, Shufelt C, et al. Myocardial Ischemia in the Absence of Obstructive Coronary Artery Disease in Systemic Lupus Erythematosus. JACC Cardiovasc Imaging. 2011;4(1):27-33. doi: 10.1016/j.jcmg.2010.09.019.
    » https://doi.org/10.1016/j.jcmg.2010.09.019
  • 826 Mavrogeni S, Pepe A, Nijveldt R, Ntusi N, Sierra-Galan LM, Bratis K, et al. Cardiovascular Magnetic Resonance in Autoimmune Rheumatic Diseases: A Clinical Consensus Document by the European Association of Cardiovascular Imaging. Eur Heart J Cardiovasc Imaging. 2022;23(9):e308-e322. doi: 10.1093/ehjci/jeac134.
    » https://doi.org/10.1093/ehjci/jeac134
  • 827 Puntmann VO, D'Cruz D, Smith Z, Pastor A, Choong P, Voigt T, et al. Native Myocardial T1 Mapping by Cardiovascular Magnetic Resonance Imaging in Subclinical Cardiomyopathy in Patients with Systemic Lupus Erythematosus. Circ Cardiovasc Imaging. 2013;6(2):295-301. doi: 10.1161/CIRCIMAGING.112.000151.
    » https://doi.org/10.1161/CIRCIMAGING.112.000151
  • 828 Dumitru RB, Bissell LA, Erhayiem B, Kidambi A, Dumitru AH, Fent G, et al. Cardiovascular Outcomes in Systemic Sclerosis with Abnormal Cardiovascular MRI and Serum Cardiac Biomarkers. RMD Open. 2021;7(3):e001689. doi: 10.1136/rmdopen-2021-001689.
    » https://doi.org/10.1136/rmdopen-2021-001689
  • 829 Hachulla AL, Launay D, Gaxotte V, De Groote P, Lamblin N, Devos P, et al. Cardiac Magnetic Resonance Imaging in Systemic Sclerosis: A Cross-sectional Observational Study of 52 Patients. Ann Rheum Dis. 2009;68(12):1878-84. doi: 10.1136/ard.2008.095836.
    » https://doi.org/10.1136/ard.2008.095836
  • 830 Kobayashi H, Kobayashi Y, Yokoe I, Akashi Y, Takei M, Giles JT. Magnetic Resonance Imaging-detected Myocardial Inflammation and Fibrosis in Rheumatoid Arthritis: Associations with Disease Characteristics and N-terminal Pro-brain Natriuretic Peptide Levels. Arthritis Care Res. 2017;69(9):1304-11. doi: 10.1002/acr.23138.
    » https://doi.org/10.1002/acr.23138
  • 831 Hinojar R, Foote L, Sangle S, Marber M, Mayr M, Carr-White G, et al. Native T1 and T2 Mapping by CMR in Lupus Myocarditis: Disease Recognition and Response to Treatment. Int J Cardiol. 2016;222:717-6. doi: 10.1016/j.ijcard.2016.07.182.
    » https://doi.org/10.1016/j.ijcard.2016.07.182
  • 832 Mavrogeni S, Koutsogeorgopoulou L, Markousis-Mavrogenis G, Bounas A, Tektonidou M, Lliossis SC, et al. Cardiovascular Magnetic Resonance Detects Silent Heart Disease Missed by Echocardiography in Systemic Lupus Erythematosus. Lupus. 2018;27(4):564-71. doi: 10.1177/0961203317731533.
    » https://doi.org/10.1177/0961203317731533
  • 833 Mavrogeni S, Markousis-Mavrogenis G, Koutsogeorgopoulou L, Dimitroulas T, Bratis K, Kitas GD, et al. Cardiovascular Magnetic Resonance Imaging Pattern at the Time of Diagnosis of Treatment Naïve Patients with Connective Tissue Diseases. Int J Cardiol. 2017;236:151-6. doi: 10.1016/j.ijcard.2017.01.104.
    » https://doi.org/10.1016/j.ijcard.2017.01.104
  • 834 Ntusi NA, Piechnik SK, Francis JM, Ferreira VM, Rai AB, Matthews PM, et al. Subclinical Myocardial Inflammation and Diffuse Fibrosis are Common in Systemic SCLEROSIS--A CLINIcal Study Using Myocardial T1-mapping and Extracellular Volume Quantification. J Cardiovasc Magn Reson. 2014;16(1):21. doi: 10.1186/1532-429X-16-21.
    » https://doi.org/10.1186/1532-429X-16-21
  • 835 Kumar K, Seetharam K, Poonam F, Gulati A, Sadiq A, Shetty V. The Role of Cardiac Imaging in the Evaluation of Cardiac Involvement in Systemic Diseases. Cureus. 2021;13(12):e20708. doi: 10.7759/cureus.20708.
    » https://doi.org/10.7759/cureus.20708
  • 836 Herrera CJ, Pina P, Martinez J, Garcia MJ. Cardiac Imaging in Systemic Diseases: What the Clinician should Know. Curr Cardiol Rev. 2018;14(3):175-84. doi: 10.2174/1573403X14666180406100315.
    » https://doi.org/10.2174/1573403X14666180406100315
  • 837 Taylor AJ, Vaddadi G, Pfluger H, Butler M, Bergin P, Leet A, et al. Diagnostic Performance of Multisequential Cardiac Magnetic Resonance Imaging in Acute Cardiac Allograft Rejection. Eur J Heart Fail. 2010;12(1):45-51. doi: 10.1093/eurjhf/hfp174.
    » https://doi.org/10.1093/eurjhf/hfp174
  • 838 Alraies MC, AlJaroudi W, Yarmohammadi H, Yingchoncharoen T, Schuster A, Senapati A, etal. Usefulness of Cardiac Magnetic Resonance-guided Management in Patients with Recurrent Pericarditis. Am J Cardiol. 2015;115(4):542-7. doi: 10.1016/j.amjcard.2014.11.041.
    » https://doi.org/10.1016/j.amjcard.2014.11.041
  • 839 Ide S, Riesenkampff E, Chiasson DA, Dipchand AI, Kantor PF, Chaturvedi RR, et al. Histological Validation of Cardiovascular Magnetic Resonance T1 Mapping Markers of Myocardial Fibrosis in Paediatric Heart Transplant Recipients. J Cardiovasc Magn Reson. 2017;19(1):10. doi: 10.1186/s12968-017-0326-x.
    » https://doi.org/10.1186/s12968-017-0326-x
  • 840 Velleca A, Shullo MA, Dhital K, Azeka E, Colvin M, De Pasquale E, et al. The International Society for Heart and Lung Transplantation (ISHLT) Guidelines for the Care of Heart Transplant Recipients. J Heart Lung Transplant. 2023;42(5):e1-e141. doi: 10.1016/j.healun.2022.10.015.
    » https://doi.org/10.1016/j.healun.2022.10.015
  • 841 Hoey ET, Shahid M, Watkin RW. Computed Tomography and Magnetic Resonance Imaging Evaluation of Pericardial Disease. Quant Imaging Med Surg. 2016;6(3):274-84. doi: 10.21037/qims.2016.01.03.
    » https://doi.org/10.21037/qims.2016.01.03
  • 842 Yevenes S, Broncano J, Gutierrez FR. CT and MR Update of Pericardial Diseases: A Systematic Review. Current Radiology Reports. 2016;4(10):52. doi: 10.1007/s40134-016-0180-x.
    » https://doi.org/10.1007/s40134-016-0180-x
  • 843 Rajiah P, Canan A, Saboo SS, Restrepo CS, Bolen MA. MRI of the Pericardium. Radiographics. 2019;39(7):1921-2. doi: 10.1148/rg.2019190081.
    » https://doi.org/10.1148/rg.2019190081
  • 844 Czum JM, Silas AM, Althoen MC. Evaluation of the Pericardium with CT and MR. ISRN Cardiol. 2014;2014:174908. doi: 10.1155/2014/174908.
    » https://doi.org/10.1155/2014/174908
  • 845 Wang ZJ, Reddy GP, Gotway MB, Yeh BM, Hetts SW, Higgins CB. CT and MR Imaging of Pericardial Disease. Radiographics. 2003;23(1):S167-80. doi: 10.1148/rg.23si035504.
    » https://doi.org/10.1148/rg.23si035504
  • 846 Ghosh AK, Walker JM. Cardio-oncology. Br J Hosp Med. 2017;78(1):C11-C13. doi: 10.12968/hmed.2017.78.1.C11.
    » https://doi.org/10.12968/hmed.2017.78.1.C11
  • 847 Zaragoza-Macias E, Chen MA, Gill EA. Real Time Three-dimensional Echocardiography Evaluation of Intracardiac Masses. Echocardiography. 2012;29(2):207-19. doi: 10.1111/j.1540-8175.2011.01627.x.
    » https://doi.org/10.1111/j.1540-8175.2011.01627.x
  • 848 Sparrow PJ, Kurian JB, Jones TR, Sivananthan MU. MR Imaging of Cardiac Tumors. Radiographics. 2005;25(5):1255-76. doi: 10.1148/rg.255045721.
    » https://doi.org/10.1148/rg.255045721
  • 849 Li X, Chen Y, Liu J, Xu L, Li Y, Liu D, et al. Cardiac Magnetic Resonance Imaging of Primary Cardiac Tumors. Quant Imaging Med Surg. 2020;10(1):294-313. doi: 10.21037/qims.2019.11.13.
    » https://doi.org/10.21037/qims.2019.11.13
  • 850 Tyebally S, Chen D, Bhattacharyya S, Mughrabi A, Hussain Z, Manisty C, et al. Cardiac Tumors: JACC CardioOncology State-of-the-Art Review. JACC CardioOncol. 2020;2(2):293-311. doi: 10.1016/j.jaccao.2020.05.009.
    » https://doi.org/10.1016/j.jaccao.2020.05.009
  • 851 Kassi M, Polsani V, Schutt RC, Wong S, Nabi F, Reardon MJ, et al. Differentiating Benign from Malignant Cardiac Tumors with Cardiac Magnetic Resonance Imaging. J Thorac Cardiovasc Surg. 2019;157(5):1912-1922.e2. doi: 10.1016/j.jtcvs.2018.09.057.
    » https://doi.org/10.1016/j.jtcvs.2018.09.057
  • 852 Mollet NR, Dymarkowski S, Volders W, Wathiong J, Herbots L, Rademakers FE, et al. Visualization of Ventricular Thrombi with Contrast-enhanced Magnetic Resonance Imaging in Patients with Ischemic Heart Disease. Circulation. 2002;106(23):2873-6. doi: 10.1161/01.cir.0000044389.51236.91.
    » https://doi.org/10.1161/01.cir.0000044389.51236.91
  • 853 Fieno DS, Saouaf R, Thomson LE, Abidov A, Friedman JD, Berman DS. Cardiovascular Magnetic Resonance of Primary Tumors of the Heart: A Review. J Cardiovasc Magn Reson. 2006;8(6):839-53. doi: 10.1080/10976640600777975.
    » https://doi.org/10.1080/10976640600777975
  • 854 Reynen K. Frequency of Primary Tumors of the Heart. Am J Cardiol. 1996;77(1):107. doi: 10.1016/s0002-9149(97)89149-7.
    » https://doi.org/10.1016/s0002-9149(97)89149-7
  • 855 Elbardissi AW, Dearani JA, Daly RC, Mullany CJ, Orszulak TA, Puga FJ, et al. Survival after Resection of Primary Cardiac Tumors: A 48-year Experience. Circulation. 2008;118(14 Suppl 1):S7-15. doi: 10.1161/CIRCULATIONAHA.107.783126.
    » https://doi.org/10.1161/CIRCULATIONAHA.107.783126
  • 856 Salanitri J, Lisle D, Rigsby C, Slaughter R, Edelman R. Benign Cardiac Tumours: Cardiac CT and MRI Imaging Appearances. J Med Imaging Radiat Oncol. 2008;52(6):550-8. doi: 10.1111/j.1440-1673.2008.02010.x.
    » https://doi.org/10.1111/j.1440-1673.2008.02010.x
  • 857 Grizzard JD, Ang GB. Magnetic Resonance Imaging of Pericardial Disease and Cardiac Masses. Cardiol Clin. 2007;25(1):111-40. doi: 10.1016/j.ccl.2007.02.004.
    » https://doi.org/10.1016/j.ccl.2007.02.004
  • 858 Poterucha TJ, Kochav J, O'Connor DS, Rosner GF. Cardiac Tumors: Clinical Presentation, Diagnosis, and Management. Curr Treat Options Oncol. 2019;20(8):66. doi: 10.1007/s11864-019-0662-1.
    » https://doi.org/10.1007/s11864-019-0662-1
  • 859 O'Donnell DH, Abbara S, Chaithiraphan V, Yared K, Killeen RP, Cury RC, et al. Cardiac Tumors: Optimal Cardiac MR Sequences and Spectrum of Imaging Appearances. AJR Am J Roentgenol. 2009;193(2):377-87. doi: 10.2214/AJR.08.1895.
    » https://doi.org/10.2214/AJR.08.1895
  • 860 Beroukhim RS, Prakash A, Buechel ER, Cava JR, Dorfman AL, Festa P, et al. Characterization of Cardiac Tumors in Children by Cardiovascular Magnetic Resonance Imaging: A Multicenter Experience. J Am Coll Cardiol. 2011;58(10):1044-54. doi: 10.1016/j.jacc.2011.05.027.
    » https://doi.org/10.1016/j.jacc.2011.05.027
  • 861 Cresti A, Chiavarelli M, Glauber M, Tanganelli P, Scalese M, Cesareo F, et al. Incidence Rate of Primary Cardiac Tumors: A 14-year Population Study. J Cardiovasc Med. 2016;17(1):37-43. doi: 10.2459/JCM.0000000000000059.
    » https://doi.org/10.2459/JCM.0000000000000059
  • 862 Tüdös Z, Köcher M, Černá M, Odstrčil F, Prouzová Z, Formánek R, et al. "Sun Ray" Appearance in a Case of Cardiac Angiosarcoma: A Comparison of MRI and PET/CT. Magn Reson Med Sci. 2017;16(2):176-80. doi: 10.2463/mrms.cr.2015-0082.
    » https://doi.org/10.2463/mrms.cr.2015-0082
  • 863 Esposito A, De Cobelli F, Ironi G, Marra P, Canu T, Mellone R, et al. CMR in the Assessment of Cardiac Masses: Primary Malignant Tumors. JACC Cardiovasc Imaging. 2014;7(10):1057-61. doi: 10.1016/j.jcmg.2014.08.002.
    » https://doi.org/10.1016/j.jcmg.2014.08.002
  • 864 Cao S, Jin S, Cao J, Shen J, Zhang H, Meng Q, et al. Malignant Pericardial Mesothelioma: A Systematic Review of Current Practice. Herz. 2018;43(1):61-8. doi: 10.1007/s00059-016-4522-5.
    » https://doi.org/10.1007/s00059-016-4522-5
  • 865 Yue P, Xu Z, Wan K, Xie X, Ji S, Sun J, et al. Differential and Prognostic Value of Cardiovascular Magnetic Resonance Derived Scoring Algorithm in Cardiac Tumors. Int J Cardiol. 2021;331:281-8. doi: 10.1016/j.ijcard.2021.01.068.
    » https://doi.org/10.1016/j.ijcard.2021.01.068
  • 866 Aggeli C, Dimitroglou Y, Raftopoulos L, Sarri G, Mavrogeni S, Wong J, et al. Cardiac Masses: The Role of Cardiovascular Imaging in the Differential Diagnosis. Diagnostics. 2020;10(12):1088. doi: 10.3390/diagnostics10121088.
    » https://doi.org/10.3390/diagnostics10121088
  • 867 Mousavi N, Cheezum MK, Aghayev A, Padera R, Vita T, Steigner M, et al. Assessment of Cardiac Masses by Cardiac Magnetic Resonance Imaging: Histological Correlation and Clinical Outcomes. J Am Heart Assoc. 2019;8(1):e007829. doi: 10.1161/JAHA.117.007829.
    » https://doi.org/10.1161/JAHA.117.007829
  • 868 Rathi VK, Czajka AT, Thompson DV, Doyle M, Tewatia T, Yamrozik J, et al. Can Cardiovascular MRI be Used to More Definitively Characterize Cardiac Masses Initially Identified Using Echocardiography? Echocardiography. 2018;35(5):735-42. doi: 10.1111/echo.14017.
    » https://doi.org/10.1111/echo.14017
  • 869 Slonimsky E, Konen O, Di Segni E, Konen E, Goitein O. Cardiac MRI: A Useful Tool for Differentiating Cardiac Thrombi from Tumors. Isr Med Assoc J. 2018;20(8):472-5.
  • 870 Chen J, Zhang H, Zhu D, Wang Y, Byanju S, Liao M. Cardiac MRI for Detecting Left Atrial/Left Atrial Appendage Thrombus in Patients with Atrial Fibrillation: Meta-analysis and Systematic Review. Herz. 2019;44(5):390-7. doi: 10.1007/s00059-017-4676-9.
    » https://doi.org/10.1007/s00059-017-4676-9
  • 871 Restivo L, De Luca A, Fabris E, Pagura L, Pierri A, Korcova R, et al. A 20-year Experience in Cardiac Tumors: A Single Center Surgical Experience and a Review of Literature. J Cardiovasc Med. 2022;23(11):722-7. doi: 10.2459/JCM.0000000000001375.
    » https://doi.org/10.2459/JCM.0000000000001375
  • 872 Raj V, Alpendurada F, Christmas T, Moat NE, Mohiaddin RH. Cardiovascular Magnetic Resonance Imaging In Assessment of Intracaval and Intracardiac Extension of Renal Cell Carcinoma. J Thorac Cardiovasc Surg. 2012;144(4):845-51. doi: 10.1016/j.jtcvs.2011.11.035.
    » https://doi.org/10.1016/j.jtcvs.2011.11.035
  • 873 Pagé M, Grasso AE, Carpenter JP, Sheppard MN, Karwatowski SP, Mohiaddin RH. Primary Cardiac Lymphoma: Diagnosis and the Impact of Chemotherapy on Cardiac Structure and Function. Can J Cardiol. 2016;32(7):931.e1-3. doi: 10.1016/j.cjca.2015.09.002.
    » https://doi.org/10.1016/j.cjca.2015.09.002
  • 874 Otto CM, Nishimura RA, Bonow RO, Carabello BA, Erwin JP 3rd, Gentile F, et al. 2020 ACC/AHA Guideline for the Management of Patients with Valvular Heart Disease: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation. 2021;143(5):e72-e227. doi: 10.1161/CIR.0000000000000923.
    » https://doi.org/10.1161/CIR.0000000000000923
  • 875 Zoghbi WA, Adams D, Bonow RO, Enriquez-Sarano M, Foster E, Grayburn PA, et al. Recommendations for Noninvasive Evaluation of Native Valvular Regurgitation: A Report from the American Society of Echocardiography Developed in Collaboration with the Society for Cardiovascular Magnetic Resonance. J Am Soc Echocardiogr. 2017;30(4):303-71. doi: 10.1016/j.echo.2017.01.007.
    » https://doi.org/10.1016/j.echo.2017.01.007
  • 876 Myerson SG. CMR in Evaluating Valvular Heart Disease: Diagnosis, Severity, and Outcomes. JACC Cardiovasc Imaging. 2021;14(10):2020-32. doi: 10.1016/j.jcmg.2020.09.029.
    » https://doi.org/10.1016/j.jcmg.2020.09.029
  • 877 Caruthers SD, Lin SJ, Brown P, Watkins MP, Williams TA, Lehr KA, et al. Practical Value of Cardiac Magnetic Resonance Imaging for Clinical Quantification of Aortic Valve Stenosis: Comparison with Echocardiography. Circulation. 2003;108(18):2236-43. doi: 10.1161/01.CIR.0000095268.47282.A1.
    » https://doi.org/10.1161/01.CIR.0000095268.47282.A1
  • 878 Cawley PJ, Maki JH, Otto CM. Cardiovascular Magnetic Resonance Imaging for Valvular Heart Disease: Technique and Validation. Circulation. 2009;119(3):468-78. doi: 10.1161/CIRCULATIONAHA.107.742486.
    » https://doi.org/10.1161/CIRCULATIONAHA.107.742486
  • 879 Søndergaard L, Thomsen C, Ståhlberg F, Gymoese E, Lindvig K, Hildebrandt P, et al. Mitral and Aortic Valvular Flow: Quantification with MR Phase Mapping. J Magn Reson Imaging. 1992;2(3):295-302. doi: 10.1002/jmri.1880020308.
    » https://doi.org/10.1002/jmri.1880020308
  • 880 Uretsky S, Argulian E, Narula J, Wolff SD. Use of Cardiac Magnetic Resonance Imaging in Assessing Mitral Regurgitation: Current Evidence. J Am Coll Cardiol. 2018;71(5):547-63. doi: 10.1016/j.jacc.2017.12.009.
    » https://doi.org/10.1016/j.jacc.2017.12.009
  • 881 Bellenger NG, Burgess MI, Ray SG, Lahiri A, Coats AJ, Cleland JG, et al. Comparison of Left Ventricular Ejection Fraction and Volumes in Heart Failure by Echocardiography, Radionuclide Ventriculography and Cardiovascular Magnetic Resonance; are they Interchangeable? Eur Heart J. 2000;21(16):1387-96. doi: 10.1053/euhj.2000.2011.
    » https://doi.org/10.1053/euhj.2000.2011
  • 882 Rochitte CE, Azevedo CF, Rosário MA, Siqueira MH, Monsão V, Saranathan M, et al. Single-Breathhold Four-dimensional Assessment of Left Ventricular Morphological and Functional Parameters by Magnetic Resonance Imaging Using the VAST Technique. Open Cardiovasc Med J. 2011;5:90-8. doi: 10.2174/1874192401105010090.
    » https://doi.org/10.2174/1874192401105010090
  • 883 de Meester de Ravenstein C, Bouzin C, Lazam S, Boulif J, Amzulescu M, et al. Histological Validation of Measurement of Diffuse Interstitial Myocardial Fibrosis by Myocardial Extravascular Volume Fraction from Modified Look-Locker Imaging (MOLLI) T1 Mapping at 3 T. J Cardiovasc Magn Reson. 2015;17(1):48. doi: 10.1186/s12968-015-0150-0.
    » https://doi.org/10.1186/s12968-015-0150-0
  • 884 Nigri M, Azevedo CF, Rochitte CE, Schraibman V, Tarasoutchi F, Pommerantzeff PM, et al. Contrast-enhanced Magnetic Resonance Imaging Identifies Focal Regions of Intramyocardial Fibrosis in Patients with Severe Aortic Valve Disease: Correlation with Quantitative Histopathology. Am Heart J. 2009;157(2):361-8. doi: 10.1016/j.ahj.2008.09.012.
    » https://doi.org/10.1016/j.ahj.2008.09.012
  • 885 Fairbairn TA, Steadman CD, Mather AN, Motwani M, Blackman DJ, Plein S, et al. Assessment of Valve Haemodynamics, Reverse Ventricular Remodelling and Myocardial Fibrosis Following Transcatheter Aortic Valve Implantation Compared to Surgical Aortic Valve Replacement: A Cardiovascular Magnetic Resonance Study. Heart. 2013;99(16):1185-91. doi: 10.1136/heartjnl-2013-303927.
    » https://doi.org/10.1136/heartjnl-2013-303927
  • 886 Myerson SG, d'Arcy J, Christiansen JP, Dobson LE, Mohiaddin R, Francis JM, et al. Determination of Clinical Outcome in Mitral Regurgitation with Cardiovascular Magnetic Resonance Quantification. Circulation. 2016;133(23):2287-96. doi: 10.1161/CIRCULATIONAHA.115.017888.
    » https://doi.org/10.1161/CIRCULATIONAHA.115.017888
  • 887 Kilner PJ, Manzara CC, Mohiaddin RH, Pennell DJ, Sutton MG, Firmin DN, et al. Magnetic Resonance Jet Velocity Mapping in Mitral and Aortic Valve Stenosis. Circulation. 1993;87(4):1239-48. doi: 10.1161/01.cir.87.4.1239.
    » https://doi.org/10.1161/01.cir.87.4.1239
  • 888 Myerson SG. Heart Valve Disease: Investigation by Cardiovascular Magnetic Resonance. J Cardiovasc Magn Reson. 2012;14(1):7. doi: 10.1186/1532-429X-14-7.
    » https://doi.org/10.1186/1532-429X-14-7
  • 889 Naoum C, Blanke P, Cavalcante JL, Leipsic J. Cardiac Computed Tomography and Magnetic Resonance Imaging in the Evaluation of Mitral and Tricuspid Valve Disease: Implications for Transcatheter Interventions. Circ Cardiovasc Imaging. 2017;10(3):e005331. doi: 10.1161/CIRCIMAGING.116.005331.
    » https://doi.org/10.1161/CIRCIMAGING.116.005331
  • 890 Bucciarelli-Ducci C, Azevedo CF. On Fibrosis, Prognosis, and the Unique Role of CMR: A Paradigm Shift from "Bright is Dead" to "Bright is Bad". J Am Coll Cardiol. 2014;64(2):155-7. doi: 10.1016/j.jacc.2014.04.036.
    » https://doi.org/10.1016/j.jacc.2014.04.036
  • 891 Chin CW, Pawade TA, Newby DE, Dweck MR. Risk Stratification in Patients with Aortic Stenosis Using Novel Imaging Approaches. Circ Cardiovasc Imaging. 2015;8(8):e003421. doi: 10.1161/CIRCIMAGING.115.003421.
    » https://doi.org/10.1161/CIRCIMAGING.115.003421
  • 892 Azevedo CF, Nigri M, Higuchi ML, Pomerantzeff PM, Spina GS, Sampaio RO, et al. Prognostic Significance of Myocardial Fibrosis Quantification by Histopathology and Magnetic Resonance Imaging in Patients with Severe Aortic Valve Disease. J Am Coll Cardiol. 2010;56(4):278-87. doi: 10.1016/j.jacc.2009.12.074.
    » https://doi.org/10.1016/j.jacc.2009.12.074
  • 893 Barone-Rochette G, Piérard S, De Ravenstein CM, Seldrum S, Melchior J, Maes F, et al. Prognostic Significance of LGE by CMR in Aortic Stenosis Patients Undergoing Valve Replacement. J Am Coll Cardiol. 2014;64(2):144-54. doi: 10.1016/j.jacc.2014.02.612.
    » https://doi.org/10.1016/j.jacc.2014.02.612
  • 894 Cavalcante JL, Kusunose K, Obuchowski NA, Jellis C, Griffin BP, Flamm SD, et al. Prognostic Impact of Ischemic Mitral Regurgitation Severity and Myocardial Infarct Quantification by Cardiovascular Magnetic Resonance. JACC Cardiovasc Imaging. 2020;13(7):1489-501. doi: 10.1016/j.jcmg.2019.11.008.
    » https://doi.org/10.1016/j.jcmg.2019.11.008
  • 895 Chin CWL, Everett RJ, Kwiecinski J, Vesey AT, Yeung E, Esson G, et al. Myocardial Fibrosis and Cardiac Decompensation in Aortic Stenosis. JACC Cardiovasc Imaging. 2017;10(11):1320-33. doi: 10.1016/j.jcmg.2016.10.007.
    » https://doi.org/10.1016/j.jcmg.2016.10.007
  • 896 Dweck MR, Joshi S, Murigu T, Alpendurada F, Jabbour A, Melina G, et al. Midwall Fibrosis is an Independent Predictor of Mortality in Patients with Aortic Stenosis. J Am Coll Cardiol. 2011;58(12):1271-9. doi: 10.1016/j.jacc.2011.03.064.
    » https://doi.org/10.1016/j.jacc.2011.03.064
  • 897 Musa TA, Treibel TA, Vassiliou VS, Captur G, Singh A, Chin C, et al. Myocardial Scar and Mortality in Severe Aortic Stenosis. Circulation. 2018;138(18):1935-47. doi: 10.1161/CIRCULATIONAHA.117.032839.
    » https://doi.org/10.1161/CIRCULATIONAHA.117.032839
  • 898 Bull S, White SK, Piechnik SK, Flett AS, Ferreira VM, Loudon M, et al. Human Non-contrast T1 Values and Correlation with Histology in Diffuse Fibrosis. Heart. 2013;99(13):932-7. doi: 10.1136/heartjnl-2012-303052.
    » https://doi.org/10.1136/heartjnl-2012-303052
  • 899 Westermann Y, Geigenmüller A, Elgeti T, Wagner M, Dushe S, Borges AC, et al. Planimetry of the Aortic Valve Orifice Area: Comparison of Multislice Spiral Computed Tomography and Magnetic Resonance Imaging. Eur J Radiol. 2011;77(3):426-35. doi: 10.1016/j.ejrad.2009.08.014.
    » https://doi.org/10.1016/j.ejrad.2009.08.014
  • 900 Woldendorp K, Bannon PG, Grieve SM. Evaluation of Aortic Stenosis using Cardiovascular Magnetic Resonance: A Systematic Review & Meta-analysis. J Cardiovasc Magn Reson. 2020;22(1):45. doi: 10.1186/s12968-020-00633-z.
    » https://doi.org/10.1186/s12968-020-00633-z
  • 901 Everett RJ, Tastet L, Clavel MA, Chin CWL, Capoulade R, Vassiliou VS, et al. Progression of Hypertrophy and Myocardial Fibrosis in Aortic Stenosis: A Multicenter Cardiac Magnetic Resonance Study. Circ Cardiovasc Imaging. 2018;11(6):e007451. doi: 10.1161/CIRCIMAGING.117.007451.
    » https://doi.org/10.1161/CIRCIMAGING.117.007451
  • 902 Hasenkam JM, Ringgaard S, Houlind K, Botnar RM, Stødkilde-Jørgensen H, Boesiger P, et al. Prosthetic Heart Valve Evaluation by Magnetic Resonance Imaging. Eur J Cardiothorac Surg. 1999;16(3):300-5. doi: 10.1016/s1010-7940(99)00215-8.
    » https://doi.org/10.1016/s1010-7940(99)00215-8
  • 903 von Knobelsdorff-Brenkenhoff F, Rudolph A, Wassmuth R, Bohl S, Buschmann EE, Abdel-Aty H, et al. Feasibility of Cardiovascular Magnetic Resonance to Assess the Orifice Area of Aortic Bioprostheses. Circ Cardiovasc Imaging. 2009;2(5):397-404. doi: 10.1161/CIRCIMAGING.108.840967.
    » https://doi.org/10.1161/CIRCIMAGING.108.840967
  • 904 Malik SB, Hsu JY, Koweek LMH, Ghoshhajra BB, Beache GM, Brown RKJ, et al. ACR Appropriateness Criteria® Infective Endocarditis. J Am Coll Radiol. 2021;18(5S):S52-S61. doi: 10.1016/j.jacr.2021.01.010.
    » https://doi.org/10.1016/j.jacr.2021.01.010
  • 905 Cardinale D, Colombo A, Sandri MT, Lamantia G, Colombo N, Civelli M, et al. Prevention of High-dose Chemotherapy-induced Cardiotoxicity in High-risk Patients by Angiotensin-converting Enzyme Inhibition. Circulation. 2006;114(23):2474-81. doi: 10.1161/CIRCULATIONAHA.106.635144.
    » https://doi.org/10.1161/CIRCULATIONAHA.106.635144
  • 906 Steinherz LJ, Steinherz PG, Tan CT, Heller G, Murphy ML. Cardiac Toxicity 4 to 20 Years after Completing Anthracycline Therapy. JAMA. 1991;266(12):1672-7. doi: 10.1001/jama.1991.03470120074036.
    » https://doi.org/10.1001/jama.1991.03470120074036
  • 907 Souza TF, Quinaglia T, Neilan TG, Coelho-Filho OR. Assessment of Cardiotoxicity of Cancer Chemotherapy: The Value of Cardiac MR Imaging. Magn Reson Imaging Clin N Am. 2019;27(3):533-44. doi: 10.1016/j.mric.2019.04.001.
    » https://doi.org/10.1016/j.mric.2019.04.001
  • 908 Ewer MS, Lenihan DJ. Left Ventricular Ejection Fraction and Cardiotoxicity: Is our Ear Really to the Ground? J Clin Oncol. 2008;26(8):1201-3. doi: 10.1200/JCO.2007.14.8742.
    » https://doi.org/10.1200/JCO.2007.14.8742
  • 909 Eidem BW. Identification of Anthracycline Cardiotoxicity: Left Ventricular Ejection Fraction is Not Enough. J Am Soc Echocardiogr. 2008;21(12):1290-2. doi: 10.1016/j.echo.2008.10.008.
    » https://doi.org/10.1016/j.echo.2008.10.008
  • 910 Mor-Avi V, Jenkins C, Kühl HP, Nesser HJ, Marwick T, Franke A, et al. Real-time 3-Dimensional Echocardiographic Quantification of Left Ventricular Volumes: Multicenter Study for Validation with Magnetic Resonance Imaging and Investigation of Sources of Error. JACC Cardiovasc Imaging. 2008;1(4):413-23. doi: 10.1016/j.jcmg.2008.02.009.
    » https://doi.org/10.1016/j.jcmg.2008.02.009
  • 911 Goenka AH, Flamm SD. Cardiac Magnetic Resonance Imaging for the Investigation of Cardiovascular Disorders. Part 1: Current Applications. Tex Heart Inst J. 2014;41(1):7-20. doi: 10.14503/THIJ-13-3920.
    » https://doi.org/10.14503/THIJ-13-3920
  • 912 Zamorano JL, Lancellotti P, Muñoz DR, Aboyans V, Asteggiano R, Galderisi M, et al. 2016 ESC Position Paper on Cancer Treatments and Cardiovascular Toxicity Developed Under the Auspices of the ESC Committee for Practice Guidelines: The Task Force for Cancer Treatments and Cardiovascular Toxicity of the European Society of Cardiology (ESC). Eur Heart J. 2016;37(36):2768-801. doi: 10.1093/eurheartj/ehw211.
    » https://doi.org/10.1093/eurheartj/ehw211
  • 913 Armenian SH, Lacchetti C, Barac A, Carver J, Constine LS, Denduluri N, et al. Prevention and Monitoring of Cardiac Dysfunction in Survivors of Adult Cancers: American Society of Clinical Oncology Clinical Practice Guideline. J Clin Oncol. 2017;35(8):893-911. doi: 10.1200/JCO.2016.70.5400.
    » https://doi.org/10.1200/JCO.2016.70.5400
  • 914 Walsh TF, Hundley WG. Assessment of Ventricular Function with Cardiovascular Magnetic Resonance. Cardiol Clin. 2007;25(1):15-33. doi: 10.1016/j.ccl.2007.01.002.
    » https://doi.org/10.1016/j.ccl.2007.01.002
  • 915 Drafts BC, Twomley KM, D'Agostino R Jr, Lawrence J, Avis N, Ellis LR, et al. Low to Moderate Dose Anthracycline-based Chemotherapy is Associated with Early Noninvasive Imaging Evidence of Subclinical Cardiovascular Disease. JACC Cardiovasc Imaging. 2013;6(8):877-85. doi: 10.1016/j.jcmg.2012.11.017.
    » https://doi.org/10.1016/j.jcmg.2012.11.017
  • 916 Armstrong GT, Plana JC, Zhang N, Srivastava D, Green DM, Ness KK, et al. Screening Adult Survivors of Childhood Cancer for Cardiomyopathy: Comparison of Echocardiography and Cardiac Magnetic Resonance Imaging. J Clin Oncol. 2012;30(23):2876-84. doi: 10.1200/JCO.2011.40.3584.
    » https://doi.org/10.1200/JCO.2011.40.3584
  • 917 Neilan TG, Coelho-Filho OR, Pena-Herrera D, Shah RV, Jerosch-Herold M, Francis SA, et al. Left Ventricular Mass in Patients with a Cardiomyopathy after Treatment with Anthracyclines. Am J Cardiol. 2012;110(11):1679-86. doi: 10.1016/j.amjcard.2012.07.040.
    » https://doi.org/10.1016/j.amjcard.2012.07.040
  • 918 Souza TF, Silva TQAC, Costa FO, Shah R, Neilan TG, Velloso L, et al. Anthracycline Therapy is Associated with Cardiomyocyte Atrophy and Preclinical Manifestations of Heart Disease. JACC Cardiovasc Imaging. 2018;11(8):1045-55. doi: 10.1016/j.jcmg.2018.05.012.
    » https://doi.org/10.1016/j.jcmg.2018.05.012
  • 919 Souza TF, Silva TQ, Antunes-Correa L, Drobni ZD, Costa FO, Dertkigil SSJ, et al. Cardiac Magnetic Resonance Assessment of Right Ventricular Remodeling after Anthracycline Therapy. Sci Rep. 2021;11(1):17132. doi: 10.1038/s41598-021-96630-y.
    » https://doi.org/10.1038/s41598-021-96630-y
  • 920 Ylänen K, Poutanen T, Savikurki-Heikkilä P, Rinta-Kiikka I, Eerola A, Vettenranta K. Cardiac Magnetic Resonance Imaging in the Evaluation of the Late Effects of Anthracyclines among Long-term Survivors of Childhood Cancer. J Am Coll Cardiol. 2013;61(14):1539-47. doi: 10.1016/j.jacc.2013.01.019.
    » https://doi.org/10.1016/j.jacc.2013.01.019
  • 921 Wassmuth R, Lentzsch S, Erdbruegger U, Schulz-Menger J, Doerken B, Dietz R, et al. Subclinical Cardiotoxic Effects of Anthracyclines as Assessed by Magnetic Resonance Imaging-a Pilot Study. Am Heart J. 2001;141(6):1007-13. doi: 10.1067/mhj.2001.115436.
    » https://doi.org/10.1067/mhj.2001.115436
  • 922 Neilan TG, Coelho-Filho OR, Shah RV, Abbasi SA, Heydari B, Watanabe E, et al. Myocardial Extracellular Volume Fraction from T1 Measurements in Healthy Volunteers and Mice: Relationship to Aging and Cardiac Dimensions. JACC Cardiovasc Imaging. 2013;6(6):672-83. doi: 10.1016/j.jcmg.2012.09.020.
    » https://doi.org/10.1016/j.jcmg.2012.09.020
  • 923 Tham EB, Haykowsky MJ, Chow K, Spavor M, Kaneko S, Khoo NS, et al. Diffuse Myocardial Fibrosis by T1-mapping in Children with Subclinical Anthracycline Cardiotoxicity: Relationship to Exercise Capacity, Cumulative Dose and Remodeling. J Cardiovasc Magn Reson. 2013;15(1):48. doi: 10.1186/1532-429X-15-48.
    » https://doi.org/10.1186/1532-429X-15-48
  • 924 Jordan JH, Vasu S, Morgan TM, D'Agostino RB Jr, Meléndez GC, Hamilton CA, et al. Anthracycline-associated T1 Mapping Characteristics are Elevated Independent of the Presence of Cardiovascular Comorbidities in Cancer Survivors. Circ Cardiovasc Imaging. 2016;9(8):e004325. doi: 10.1161/CIRCIMAGING.115.004325.
    » https://doi.org/10.1161/CIRCIMAGING.115.004325
  • 925 Coelho-Filho OR, Shah RV, Mitchell R, Neilan TG, Moreno H Jr, Simonson B, et al. Quantification of Cardiomyocyte Hypertrophy by Cardiac Magnetic Resonance: Implications for Early Cardiac Remodeling. Circulation. 2013;128(11):1225-33. doi: 10.1161/CIRCULATIONAHA.112.000438.
    » https://doi.org/10.1161/CIRCULATIONAHA.112.000438
  • 926 Coelho-Filho OR, Shah R, Lavagnoli CFR, Barros JC, Neilan TG, Murthy VL, et al. Myocardial Tissue Remodeling after Orthotopic Heart Transplantation: A pilot Cardiac Magnetic Resonance Study. Int J Cardiovasc Imaging. 2018;34(1):15-24. doi: 10.1007/s10554-016-0937-6.
    » https://doi.org/10.1007/s10554-016-0937-6
  • 927 Thavendiranathan P, Zhang L, Zafar A, Drobni ZD, Mahmood SS, Cabral M, et al. Myocardial T1 and T2 Mapping by Magnetic Resonance in Patients with Immune Checkpoint Inhibitor-associated Myocarditis. J Am Coll Cardiol. 2021;77(12):1503-16. doi: 10.1016/j.jacc.2021.01.050.
    » https://doi.org/10.1016/j.jacc.2021.01.050
  • 928 Hajjar LA, Costa IBSDSD, Lopes MACQ, Hoff PMG, Diz MDPE, Fonseca SMR, et al. Brazilian Cardio-oncology Guideline - 2020. Arq Bras Cardiol. 2020;115(5):1006-43. doi: 10.36660/abc.20201006.
    » https://doi.org/10.36660/abc.20201006
  • 929 Houbois CP, Nolan M, Somerset E, Shalmon T, Esmaeilzadeh M, Lamacie MM, et al. Serial Cardiovascular Magnetic Resonance Strain Measurements to Identify Cardiotoxicity in Breast Cancer: Comparison with Echocardiography. JACC Cardiovasc Imaging. 2021;14(5):962-74. doi: 10.1016/j.jcmg.2020.09.039.
    » https://doi.org/10.1016/j.jcmg.2020.09.039
  • 930 Ibrahim EH, Baruah D, Croisille P, Stojanovska J, Rubenstein JC, Frei A, et al. Cardiac Magnetic Resonance for Early Detection of Radiation Therapy-induced Cardiotoxicity in a Small Animal Model. JACC CardioOncol. 2021;3(1):113-30. doi: 10.1016/j.jaccao.2020.12.006.
    » https://doi.org/10.1016/j.jaccao.2020.12.006
  • 931 Terui Y, Sugimura K, Ota H, Tada H, Nochioka K, Sato H, et al. Usefulness of Cardiac Magnetic Resonance for Early Detection of Cancer Therapeutics-related Cardiac Dysfunction in Breast Cancer Patients. Int J Cardiol. 2023;371:472-9. doi: 10.1016/j.ijcard.2022.09.025.
    » https://doi.org/10.1016/j.ijcard.2022.09.025
  • 932 Haslbauer JD, Lindner S, Valbuena-Lopez S, Zainal H, Zhou H, D'Angelo T, et al. CMR Imaging Biosignature of Cardiac Involvement Due to Cancer-related Treatment by T1 and T2 Mapping. Int J Cardiol. 2019;275:179-86. doi: 10.1016/j.ijcard.2018.10.023.
    » https://doi.org/10.1016/j.ijcard.2018.10.023
  • 933 Lyon AR, López-Fernández T, Couch LS, Asteggiano R, Aznar MC, Bergler-Klein J, et al. 2022 ESC Guidelines on Cardio-oncology Developed in Collaboration with the European Hematology Association (EHA), the European Society for Therapeutic Radiology and Oncology (ESTRO) and the International Cardio-oncology Society (IC-OS). Eur Heart J. 2022;43(41):4229-361. doi: 10.1093/eurheartj/ehac244.
    » https://doi.org/10.1093/eurheartj/ehac244
  • 934 Cadour F, Cautela J, Rapacchi S, Varoquaux A, Habert P, Arnaud F, et al. Cardiac MRI Features and Prognostic Value in Immune Checkpoint Inhibitor-induced Myocarditis. Radiology. 2022;303(3):512-21. doi: 10.1148/radiol.211765.
    » https://doi.org/10.1148/radiol.211765
  • 935 Hiratzka LF, Bakris GL, Beckman JA, Bersin RM, Carr VF, Casey DE Jr, et al. 2010 ACCF/AHA/AATS/ACR/ASA/SCA/SCAI/SIR/STS/SVM Guidelines for the Diagnosis and Management of Patients with Thoracic Aortic Disease: A Report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines, American Association for Thoracic Surgery, American College of Radiology, American Stroke Association, Society of Cardiovascular Anesthesiologists, Society for Cardiovascular Angiography and Interventions, Society of Interventional Radiology, Society of Thoracic Surgeons, and Society for Vascular Medicine. Circulation. 2010;121(13):e266-369. doi: 10.1161/CIR.0b013e3181d4739e.
    » https://doi.org/10.1161/CIR.0b013e3181d4739e
  • 936 Hartung MP, Grist TM, François CJ. Magnetic Resonance Angiography: Current Status and Future Directions. J Cardiovasc Magn Reson. 2011;13(1):19. doi: 10.1186/1532-429X-13-19.
    » https://doi.org/10.1186/1532-429X-13-19
  • 937 Isselbacher EM, Preventza O, Hamilton Black Iii J, Augoustides JG, Beck AW, Bolen MA, et al. 2022 ACC/AHA Guideline for the Diagnosis and Management of Aortic Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines. J Am Coll Cardiol. 2022;80(24):e223-e393. doi: 10.1016/j.jacc.2022.08.004.
    » https://doi.org/10.1016/j.jacc.2022.08.004
  • 938 Goldstein SA, Evangelista A, Abbara S, Arai A, Asch FM, Badano LP, et al. Multimodality Imaging of Diseases of the Thoracic Aorta in Adults: From the American Society of Echocardiography and the European Association of Cardiovascular Imaging: Endorsed by the Society of Cardiovascular Computed Tomography and Society for Cardiovascular Magnetic Resonance. J Am Soc Echocardiogr. 2015;28(2):119-82. doi: 10.1016/j.echo.2014.11.015.
    » https://doi.org/10.1016/j.echo.2014.11.015
  • 939 Wang TKM, Desai MY. Thoracic Aortic Aneurysm: Optimal Surveillance and Treatment. Cleve Clin J Med. 2020;87(9):557-68. doi: 10.3949/ccjm.87a.19140-1.
    » https://doi.org/10.3949/ccjm.87a.19140-1
  • 940 Freeman LA, Young PM, Foley TA, Williamson EE, Bruce CJ, Greason KL. CT and MRI Assessment of the Aortic Root and Ascending Aorta. AJR Am J Roentgenol. 2013;200(6):W581-92. doi: 10.2214/AJR.12.9531.
    » https://doi.org/10.2214/AJR.12.9531
  • 941 Mussa FF, Horton JD, Moridzadeh R, Nicholson J, Trimarchi S, Eagle KA. Acute Aortic Dissection and Intramural Hematoma: A Systematic Review. JAMA. 2016;316(7):754-63. doi: 10.1001/jama.2016.10026.
    » https://doi.org/10.1001/jama.2016.10026
  • 942 Piacentino F, Fontana F, Micieli C, Angeretti MG, Cardim LN, Coppola A, et al. Nonenhanced MRI Planning for Endovascular Repair of Abdominal Aortic Aneurysms: Comparison with Contrast-enhanced CT Angiography. Vasc Endovascular Surg. 2018;52(1):39-45. doi: 10.1177/1538574417740508.
    » https://doi.org/10.1177/1538574417740508
  • 943 Weinrich JM, Lenz A, Adam G, François CJ, Bannas P. Radiologic Imaging in Large and Medium Vessel Vasculitis. Radiol Clin North Am. 2020;58(4):765-79. doi: 10.1016/j.rcl.2020.02.001.
    » https://doi.org/10.1016/j.rcl.2020.02.001
  • 944 Gornik HL, Creager MA. Aortitis. Circulation. 2008;117(23):3039-51. doi: 10.1161/CIRCULATIONAHA.107.760686.
    » https://doi.org/10.1161/CIRCULATIONAHA.107.760686
  • 945 Ravesh MS, Langguth P, Pfarr JA, Schupp J, Trentmann J, Koktzoglou I, et al. Non-contrast-enhanced Magnetic Resonance Imaging for Visualization and Quantification of Endovascular Aortic Prosthesis, their Endoleaks and Aneurysm Sacs at 1.5 T. Magn Reson Imaging. 2019;60:164-72. doi: 10.1016/j.mri.2019.05.012.
    » https://doi.org/10.1016/j.mri.2019.05.012
  • 946 Guo Q, Zhao J, Huang B, Yuan D, Yang Y, Zeng G, et al. A Systematic Review of Ultrasound or Magnetic Resonance Imaging Compared with Computed Tomography for Endoleak Detection and Aneurysm Diameter Measurement after Endovascular Aneurysm Repair. J Endovasc Ther. 2016;23(6):936-43. doi: 10.1177/1526602816664878.
    » https://doi.org/10.1177/1526602816664878
  • 947 Habets J, Zandvoort HJ, Reitsma JB, Bartels LW, Moll FL, Leiner T, et al. Magnetic Resonance Imaging is More Sensitive than Computed Tomography Angiography for the Detection of Endoleaks after Endovascular Abdominal Aortic Aneurysm Repair: A Systematic Review. Eur J Vasc Endovasc Surg. 2013;45(4):340-50. doi: 10.1016/j.ejvs.2012.12.014.
    » https://doi.org/10.1016/j.ejvs.2012.12.014
  • 948 Gavelli G, Canini R, Bertaccini P, Battista G, Bnà C, Fattori R. Traumatic Injuries: Imaging of Thoracic Injuries. Eur Radiol. 2002;12(6):1273-94. doi: 10.1007/s00330-002-1439-6.
    » https://doi.org/10.1007/s00330-002-1439-6
  • 949 The American College of Radiology. ACR–ASNR–SNIS–SPR Practice Parameter for the Performance of Cervicocerebral Magnetic Resonance Angiography (MRA) [Internet]. Virginia: The American College of Radiology; 2020 [cited 2023 Oct 01]. Available from: https://www.acr.org/-/media/ACR/Files/Practice-Parameters/CervicoCerebralMRA.pdf
    » https://www.acr.org/-/media/ACR/Files/Practice-Parameters/CervicoCerebralMRA.pdf
  • 950 Nederkoorn PJ, van der Graaf Y, Hunink MG. Duplex Ultrasound and Magnetic Resonance Angiography Compared with Digital Subtraction ANGIOGRAPHY in carotid Artery Stenosis: A Systematic Review. Stroke. 2003;34(5):1324-32. doi: 10.1161/01.STR.0000068367.08991.A2.
    » https://doi.org/10.1161/01.STR.0000068367.08991.A2
  • 951 Maldonado TS. What are Current Preprocedure Imaging Requirements for Carotid Artery Stenting and Carotid Endarterectomy: Have Magnetic Resonance Angiography and Computed Tomographic Angiography Made a Difference? Semin Vasc Surg. 2007;20(4):205-15. doi: 10.1053/j.semvascsurg.2007.10.002.
    » https://doi.org/10.1053/j.semvascsurg.2007.10.002
  • 952 Wardlaw JM, Chappell FM, Stevenson M, De Nigris E, Thomas S, Gillard J, et al. Accurate, Practical and Cost-effective Assessment of Carotid Stenosis in the UK. Health Technol Assess. 2006;10(30):iii-iv, ix-x, 1-182. doi: 10.3310/hta10300.
    » https://doi.org/10.3310/hta10300
  • 953 Aboyans V, Ricco JB, Bartelink MEL, Björck M, Brodmann M, Cohnert T, et al. 2017 ESC Guidelines on the Diagnosis and Treatment of Peripheral Arterial Diseases, in Collaboration with the European Society for Vascular Surgery (ESVS): Document Covering Atherosclerotic Disease of Extracranial Carotid and Vertebral, Mesenteric, Renal, Upper and Lower Extremity arteriesendorsed by: The European Stroke Organization (ESO)The Task Force for the Diagnosis and Treatment of Peripheral Arterial Diseases of the European Society of Cardiology (ESC) and of the European Society for Vascular Surgery (ESVS). Eur Heart J. 2018;39(9):763-816. doi: 10.1093/eurheartj/ehx095.
    » https://doi.org/10.1093/eurheartj/ehx095
  • 954 Gupta A, Baradaran H, Schweitzer AD, Kamel H, Pandya A, Delgado D, et al. Carotid Plaque MRI and Stroke Risk: A Systematic Review and Meta-analysis. Stroke. 2013;44(11):3071-7. doi: 10.1161/STROKEAHA.113.002551.
    » https://doi.org/10.1161/STROKEAHA.113.002551
  • 955 Naylor AR, Sillesen H, Schroeder TV. Clinical and Imaging Features Associated with an Increased Risk of Early and Late Stroke in Patients with Symptomatic Carotid Disease. Eur J Vasc Endovasc Surg. 2015;49(5):513-23. doi: 10.1016/j.ejvs.2015.01.011.
    » https://doi.org/10.1016/j.ejvs.2015.01.011
  • 956 Fonseca AC, Merwick Á, Dennis M, Ferrari J, Ferro JM, Kelly P, et al. European Stroke Organisation (ESO) Guidelines on Management of Transient Ischaemic Attack. Eur Stroke J. 2021;6(2):CLXIII-CLXXXVI. doi: 10.1177/2396987321992905.
    » https://doi.org/10.1177/2396987321992905
  • 957 Zeng M, Cheng Y, Zhao B. Measurement of Single-kidney Glomerular Filtration Function from Magnetic Resonance Perfusion Renography. Eur J Radiol. 2015;84(8):1419-23. doi: 10.1016/j.ejrad.2015.05.009.
    » https://doi.org/10.1016/j.ejrad.2015.05.009
  • 958 Elmula FEMF, Jin Y, Yang WY, Thijs L, Lu YC, Larstorp AC, et al. Meta-analysis of Randomized Controlled Trials of Renal Denervation in Treatment-resistant Hypertension. Blood Press. 2015;24(5):263-74. doi: 10.3109/08037051.2015.1058595.
    » https://doi.org/10.3109/08037051.2015.1058595
  • 959 Fontes MAP, Marzano LAS, Silva CC, Silva ACS. Renal Sympathetic Denervation for Resistant Hypertension: Where do we Stand after More than a Decade. J Bras Nefrol. 2020;42(1):67-76. doi: 10.1590/2175-8239-JBN-2018-0213.
    » https://doi.org/10.1590/2175-8239-JBN-2018-0213
  • 960 Persu A, Jin Y, Azizi M, Baelen M, Völz S, Elvan A, et al. Blood Pressure Changes after Renal Denervation at 10 European Expert Centers. J Hum Hypertens. 2014;28(3):150-6. doi: 10.1038/jhh.2013.88.
    » https://doi.org/10.1038/jhh.2013.88
  • 961 Sanders MF, van Doormaal PJ, Beeftink MMA, Bots ML, Elmula FEMF, Habets J, et al. Renal Artery and Parenchymal Changes after Renal Denervation: Assessment by Magnetic Resonance Angiography. Eur Radiol. 2017;27(9):3934-41. doi: 10.1007/s00330-017-4770-7.
    » https://doi.org/10.1007/s00330-017-4770-7
  • 962 Liang KW, Chen JW, Huang HH, Su CH, Tyan YS, Tsao TF. The Performance of Noncontrast Magnetic Resonance Angiography in Detecting Renal Artery Stenosis as Compared with Contrast Enhanced Magnetic Resonance Angiography Using Conventional Angiography as a Reference. J Comput Assist Tomogr. 2017;41(4):619-27. doi: 10.1097/RCT.0000000000000574.
    » https://doi.org/10.1097/RCT.0000000000000574
  • 963 Velloni FG, Cardia PP, Torres UDS, Pereira MAH, Penachim TJ, Favaro LR, et al. Unenhanced Magnetic Resonance Angiography as an Accurate Alternative in the Preoperative Assessment of Potential Living Kidney Donors with Contraindications to Computed Tomography Angiography and to Contrast-enhanced Magnetic Resonance Angiography. Radiol Bras. 2020;53(4):229-35. doi: 10.1590/0100-3984.2019.0013.
    » https://doi.org/10.1590/0100-3984.2019.0013
  • 964 Wilson GJ, Maki JH. Non-contrast-enhanced MR Imaging of Renal Artery Stenosis at 1.5 Tesla. Magn Reson Imaging Clin N Am. 2009;17(1):13-27. doi: 10.1016/j.mric.2009.01.002.
    » https://doi.org/10.1016/j.mric.2009.01.002
  • 965 Tan KT, van Beek EJ, Brown PW, van Delden OM, Tijssen J, Ramsay LE. Magnetic Resonance Angiography for the Diagnosis of Renal Artery Stenosis: A Meta-analysis. Clin Radiol. 2002;57(7):617-24. doi: 10.1053/crad.2002.0941.
    » https://doi.org/10.1053/crad.2002.0941
  • 966 Loubeyre P, Trolliet P, Cahen R, Grozel F, Labeeuw M, Minh VA. MR Angiography of Renal Artery Stenosis: Value of the Combination of Three-dimensional Time-of-flight and Three-dimensional Phase-contrast MR Angiography Sequences. AJR Am J Roentgenol. 1996;167(2):489-94. doi: 10.2214/ajr.167.2.8686634.
    » https://doi.org/10.2214/ajr.167.2.8686634
  • 967 Postma CT, Joosten FB, Rosenbusch G, Thien T. Magnetic Resonance Angiography has a High Reliability in the Detection of Renal Artery Stenosis. Am J Hypertens. 1997;10(9 Pt 1):957-63. doi: 10.1016/s0895-7061(97)00157-x.
    » https://doi.org/10.1016/s0895-7061(97)00157-x
  • 968 Revel MP, Sanchez O, Couchon S, Planquette B, Hernigou A, Niarra R, et al. Diagnostic Accuracy of Magnetic Resonance Imaging for an Acute Pulmonary Embolism: Results of the 'IRM-EP' Study. J Thromb Haemost. 2012;10(5):743-50. doi: 10.1111/j.1538-7836.2012.04652.x.
    » https://doi.org/10.1111/j.1538-7836.2012.04652.x
  • 969 Stein PD, Chenevert TL, Fowler SE, Goodman LR, Gottschalk A, Hales CA, et al. Gadolinium-enhanced Magnetic Resonance Angiography for Pulmonary Embolism: A Multicenter Prospective Study (PIOPED III). Ann Intern Med. 2010;152(7):434-43, W142-3. doi: 10.7326/0003-4819-152-7-201004060-00008.
    » https://doi.org/10.7326/0003-4819-152-7-201004060-00008
  • 970 Sostman HD, Jablonski KA, Woodard PK, Stein PD, Naidich DP, Chenevert TL, et al. Factors in the Technical Quality of Gadolinium Enhanced Magnetic Resonance Angiography for Pulmonary Embolism in PIOPED III. Int J Cardiovasc Imaging. 2012;28(2):303-12. doi: 10.1007/s10554-011-9820-7.
    » https://doi.org/10.1007/s10554-011-9820-7
  • 971 Büchel ERV, DiBernardo S, Bauersfeld U, Berger F. Contrast-enhanced Magnetic Resonance Angiography of the Great Arteries in Patients with Congenital Heart Disease: An Accurate Tool for Planning Catheter-guided Interventions. Int J Cardiovasc Imaging. 2005;21(2-3):313-22. doi: 10.1007/s10554-004-4017-y.
    » https://doi.org/10.1007/s10554-004-4017-y
  • 972 Hagspiel KD, Flors L, Hanley M, Norton PT. Computed Tomography Angiography and Magnetic Resonance Angiography Imaging of the Mesenteric Vasculature. Tech Vasc Interv Radiol. 2015;18(1):2-13. doi: 10.1053/j.tvir.2014.12.002.
    » https://doi.org/10.1053/j.tvir.2014.12.002
  • 973 Ayache JB, Collins JD. MR Angiography of the Abdomen and Pelvis. Radiol Clin North Am. 2014;52(4):839-59. doi: 10.1016/j.rcl.2014.02.017.
    » https://doi.org/10.1016/j.rcl.2014.02.017
  • 974 Sachdeva R, Valente AM, Armstrong AK, Cook SC, Han BK, Lopez L, et al. ACC/AHA/ASE/HRS/ISACHD/SCAI/SCCT/SCMR/SOPE 2020 Appropriate Use Criteria for Multimodality Imaging During the Follow-up Care of Patients with Congenital Heart Disease: A Report of the American College of Cardiology Solution Set Oversight Committee and Appropriate Use Criteria Task Force, American Heart Association, American Society of Echocardiography, Heart Rhythm Society, International Society for Adult Congenital Heart Disease, Society for Cardiovascular Angiography and Interventions, Society of Cardiovascular Computed Tomography, Society for Cardiovascular Magnetic Resonance, and Society of Pediatric Echocardiography. J Am Coll Cardiol. 2020;75(6):657-703. doi: 10.1016/j.jacc.2019.10.002.
    » https://doi.org/10.1016/j.jacc.2019.10.002
  • 975 Baumgartner H, De Backer J, Babu-Narayan SV, Budts W, Chessa M, Diller GP, et al. 2020 ESC Guidelines for the Management of Adult Congenital Heart Disease. Eur Heart J. 2021;42(6):563-645. doi: 10.1093/eurheartj/ehaa554.
    » https://doi.org/10.1093/eurheartj/ehaa554
  • 976 Stout KK, Daniels CJ, Aboulhosn JA, Bozkurt B, Broberg CS, Colman JM, et al. 2018 AHA/ACC Guideline for the Management of Adults with Congenital Heart Disease: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol. 2019;73(12):1494-563. doi: 10.1016/j.jacc.2018.08.1028.
    » https://doi.org/10.1016/j.jacc.2018.08.1028
  • 977 Han BK, Rigsby CK, Hlavacek A, Leipsic J, Nicol ED, Siegel MJ, et al. Computed Tomography Imaging in Patients with Congenital Heart Disease Part I: Rationale and Utility. An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT): Endorsed by the Society of Pediatric Radiology (SPR) and the North American Society of Cardiac Imaging (NASCI). J Cardiovasc Comput Tomogr. 2015;9(6):475-92. doi: 10.1016/j.jcct.2015.07.004.
    » https://doi.org/10.1016/j.jcct.2015.07.004
  • 978 Doherty JU, Kort S, Mehran R, Schoenhagen P, Soman P, Dehmer GJ, et al. ACC/AATS/AHA/ASE/ASNC/HRS/SCAI/SCCT/SCMR/STS 2019 Appropriate Use Criteria for Multimodality Imaging in the Assessment of Cardiac Structure and Function in Nonvalvular Heart Disease: A Report of the American College of Cardiology Appropriate Use Criteria Task Force, American Association for Thoracic Surgery, American Heart Association, American Society of Echocardiography, American Society of Nuclear Cardiology, Heart Rhythm Society, Society for Cardiovascular Angiography and Interventions, Society of Cardiovascular Computed Tomography, Society for Cardiovascular Magnetic Resonance, and the Society of Thoracic Surgeons. J Am Coll Cardiol. 2019;73(4):488-516. doi: 10.1016/j.jacc.2018.10.038.
    » https://doi.org/10.1016/j.jacc.2018.10.038
  • 979 White HD, Halpern EJ, Savage MP. Imaging of Adult Atrial Septal Defects with CT Angiography. JACC Cardiovasc Imaging. 2013;6(12):1342-5. doi: 10.1016/j.jcmg.2013.07.011.
    » https://doi.org/10.1016/j.jcmg.2013.07.011
  • 980 Haramati LB, Moche IE, Rivera VT, Patel PV, Heyneman L, McAdams HP, et al. Computed Tomography of Partial Anomalous Pulmonary Venous Connection in Adults. J Comput Assist Tomogr. 2003;27(5):743-9. doi: 10.1097/00004728-200309000-00011.
    » https://doi.org/10.1097/00004728-200309000-00011
  • 981 Yasunaga D, Hamon M. MDCT of Interatrial Septum. Diagn Interv Imaging. 2015;96(9):891-9. doi: 10.1016/j.diii.2015.02.011.
    » https://doi.org/10.1016/j.diii.2015.02.011
  • 982 Rojas CA, Jaimes C, Abbara S. Ventricular Septal Defects: Embryology and Imaging Findings. J Thorac Imaging. 2013;28(2):W28-34. doi: 10.1097/RTI.0b013e31824b5b95.
    » https://doi.org/10.1097/RTI.0b013e31824b5b95
  • 983 Siegel MJ. Computed Tomography of Pediatric Cardiovascular Disease. J Thorac Imaging. 2010;25(3):256-66. doi: 10.1097/RTI.0b013e3181cf8031.
    » https://doi.org/10.1097/RTI.0b013e3181cf8031
  • 984 Leschka S, Oechslin E, Husmann L, Desbiolles L, Marincek B, Genoni M, et al. Pre- and Postoperative Evaluation of Congenital Heart Disease in Children and Adults with 64-Section CT. Radiographics. 2007;27(3):829-46. doi: 10.1148/rg.273065713.
    » https://doi.org/10.1148/rg.273065713
  • 985 Lawler LP, Corl FM, Fishman EK. Multi-detector Row and Volume-rendered CT of the Normal and Accessory Flow Pathways of the Thoracic Systemic and Pulmonary Veins. Radiographics. 2002;22:S45-60. doi: 10.1148/radiographics.22.suppl_1.g02oc05s45.
    » https://doi.org/10.1148/radiographics.22.suppl_1.g02oc05s45
  • 986 Han BK, Rigsby CK, Leipsic J, Bardo D, Abbara S, Ghoshhajra B, et al. Computed Tomography Imaging in Patients with Congenital Heart Disease, Part 2: Technical Recommendations. An Expert Consensus Document of the Society of Cardiovascular Computed Tomography (SCCT): Endorsed by the Society of Pediatric Radiology (SPR) and the North American Society of Cardiac Imaging (NASCI). J Cardiovasc Comput Tomogr. 2015;9(6):493-513. doi: 10.1016/j.jcct.2015.07.007.
    » https://doi.org/10.1016/j.jcct.2015.07.007
  • 987 Yamasaki Y, Nagao M, Yamamura K, Yonezawa M, Matsuo Y, Kawanami S, et al. Quantitative Assessment of Right Ventricular Function and Pulmonary Regurgitation in Surgically Repaired Tetralogy of Fallot Using 256-Slice CT: Comparison with 3-Tesla MRI. Eur Radiol. 2014;24(12):3289-99. doi: 10.1007/s00330-014-3344-1.
    » https://doi.org/10.1007/s00330-014-3344-1
  • 988 Qureshi MY, O'Leary PW, Connolly HM. Cardiac Imaging in Ebstein Anomaly. Trends Cardiovasc Med. 2018;28(6):403-9. doi: 10.1016/j.tcm.2018.01.002.
    » https://doi.org/10.1016/j.tcm.2018.01.002
  • 989 Ruckdeschel E, Kim YY. Pulmonary Valve Stenosis in the Adult Patient: Pathophysiology, Diagnosis and Management. Heart. 2019;105(5):414-22. doi: 10.1136/heartjnl-2017-312743.
    » https://doi.org/10.1136/heartjnl-2017-312743
  • 990 Saremi F, Gera A, Ho SY, Hijazi ZM, Sánchez-Quintana D. CT and MR Imaging of the Pulmonary Valve. Radiographics. 2014;34(1):51-71. doi: 10.1148/rg.341135026.
    » https://doi.org/10.1148/rg.341135026
  • 991 Feuchtner GM, Stolzmann P, Dichtl W, Schertler T, Bonatti J, Scheffel H, et al. Multislice Computed Tomography in Infective Endocarditis: Comparison with Transesophageal Echocardiography and Intraoperative Findings. J Am Coll Cardiol. 2009;53(5):436-44. doi: 10.1016/j.jacc.2008.01.077.
    » https://doi.org/10.1016/j.jacc.2008.01.077
  • 992 Morris MF, Maleszewski JJ, Suri RM, Burkhart HM, Foley TA, Bonnichsen CR, et al. CT and MR Imaging of the Mitral Valve: Radiologic-pathologic Correlation. Radiographics. 2010;30(6):1603-20. doi: 10.1148/rg.306105518.
    » https://doi.org/10.1148/rg.306105518
  • 993 Stout KK, Daniels CJ, Aboulhosn JA, Bozkurt B, Broberg CS, Colman JM, et al. 2018 AHA/ACC Guideline for the Management of Adults with Congenital Heart Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation. 2019;139(14):e698-e800. doi: 10.1161/CIR.0000000000000603.
    » https://doi.org/10.1161/CIR.0000000000000603
  • 994 Nishimura RA, Otto CM, Bonow RO, Carabello BA, Erwin JP 3rd, Guyton RA, et al. 2014 AHA/ACC Guideline for the Management of Patients with Valvular Heart Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation. 2014;129(23):e521-643. doi: 10.1161/CIR.0000000000000031.
    » https://doi.org/10.1161/CIR.0000000000000031
  • 995 Schaverien MV, Freedom RM, McCrindle BW. Independent Factors Associated with Outcomes of Parachute Mitral Valve in 84 Patients. Circulation. 2004;109(19):2309-13. doi: 10.1161/01.CIR.0000129269.98460.C8.
    » https://doi.org/10.1161/01.CIR.0000129269.98460.C8
  • 996 Cuypers JA, Witsenburg M, van der Linde D, Roos-Hesselink JW. Pulmonary Stenosis: Update on Diagnosis and Therapeutic Options. Heart. 2013;99(5):339-47. doi: 10.1136/heartjnl-2012-301964.
    » https://doi.org/10.1136/heartjnl-2012-301964
  • 997 Goo HW. Coronary Artery Anomalies on Preoperative Cardiac CT in Children with Tetralogy of Fallot or Fallot Type of Double Outlet Right Ventricle: Comparison with Surgical Findings. Int J Cardiovasc Imaging. 2018;34(12):1997-2009. doi: 10.1007/s10554-018-1422-1.
    » https://doi.org/10.1007/s10554-018-1422-1
  • 998 Pandey NN, Bhambri K, Verma M, Jagia P, Kothari SS, Saxena A. Anomalies of Coronary Arteries in Tetralogy of Fallot: Evaluation on Multidetector CT Angiography Using Dual-Source Scanner. J Card Surg. 2021;36(7):2373-80. doi: 10.1111/jocs.15572.
    » https://doi.org/10.1111/jocs.15572
  • 999 Lapierre C, Dubois J, Rypens F, Raboisson MJ, Déry J. Tetralogy of Fallot: Preoperative Assessment with MR and CT Imaging. Diagn Interv Imaging. 2016;97(5):531-41. doi: 10.1016/j.diii.2016.01.009.
    » https://doi.org/10.1016/j.diii.2016.01.009
  • 1000 Cavalcanti PEF, Sá MPBO, Lins RFA, Cavalcanti CV, Lima RC, Cvitkovic T, et al. Three-step Preoperative Sequential Planning for Pulmonary Valve Replacement in Repaired Tetralogy of Fallot Using Computed Tomography. Eur J Cardiothorac Surg. 2020;59(2):333–40. doi: 10.1093/ejcts/ezaa346.
    » https://doi.org/10.1093/ejcts/ezaa346
  • 1001 Zucker EJ. Computed Tomography in Tetralogy of Fallot: Pre- and Postoperative Imaging Evaluation. Pediatr Radiol. 2022;52(13):2485-97. doi: 10.1007/s00247-021-05179-5.
    » https://doi.org/10.1007/s00247-021-05179-5
  • 1002 Flors L, Bueno J, Gish D, White S, Norton PT, Hagspiel KD, et al. Preprocedural Imaging Evaluation of Pulmonary Valve Replacement after Repair of Tetralogy of Fallot: What the Radiologist Needs to Know. J Thorac Imaging. 2020;35(3):153-66. doi: 10.1097/RTI.0000000000000478.
    » https://doi.org/10.1097/RTI.0000000000000478
  • 1003 Malone L, Fonseca B, Fagan T, Gralla J, Wilson N, Vargas D, et al. Preprocedural Risk Assessment Prior to PPVI with CMR and Cardiac CT. Pediatr Cardiol. 2017;38(4):746-53. doi: 10.1007/s00246-017-1574-0.
    » https://doi.org/10.1007/s00246-017-1574-0
  • 1004 Hill G. Repair and Follow-up of Tetralogy of Fallot with Pulmonary Stenosis. Congenit Heart Dis. 2013;8(2):174-7. doi: 10.1111/chd.12042.
    » https://doi.org/10.1111/chd.12042
  • 1005 Bharucha T, Hlavacek AM, Spicer DE, Theocharis P, Anderson RH. How Should we Diagnose and Differentiate Hearts with Double-outlet Right Ventricle? Cardiol Young. 2017;27(1):1-15. doi: 10.1017/S1047951116001190.
    » https://doi.org/10.1017/S1047951116001190
  • 1006 Vigil C, Lasso A, Ghosh RM, Pinter C, Cianciulli A, Nam HH, et al. Modeling Tool for Rapid Virtual Planning of the Intracardiac Baffle in Double-outlet Right Ventricle. Ann Thorac Surg. 2021;111(6):2078-83. doi: 10.1016/j.athoracsur.2021.02.058.
    » https://doi.org/10.1016/j.athoracsur.2021.02.058
  • 1007 Dydynski PB, Kiper C, Kozik D, Keller BB, Austin E, Holland B. Three-Dimensional Reconstruction of Intracardiac Anatomy Using CTA and Surgical Planning for Double Outlet Right Ventricle: Early Experience at a Tertiary Care Congenital Heart Center. World J Pediatr Congenit Heart Surg. 2016;7(4):467-74. doi: 10.1177/2150135116651399.
    » https://doi.org/10.1177/2150135116651399
  • 1008 Villemain O, Belli E, Ladouceur M, Houyel L, Jalal Z, Lambert V, et al. Impact of Anatomic Characteristics and Initial Biventricular Surgical Strategy on Outcomes in Various Forms of Double-outlet Right Ventricle. J Thorac Cardiovasc Surg. 2016;152(3):698-706.e3. doi: 10.1016/j.jtcvs.2016.05.019.
    » https://doi.org/10.1016/j.jtcvs.2016.05.019
  • 1009 Johnson TR. Conotruncal Cardiac Defects: A Clinical Imaging Perspective. Pediatr Cardiol. 2010;31(3):430-7. doi: 10.1007/s00246-010-9668-y.
    » https://doi.org/10.1007/s00246-010-9668-y
  • 1010 Kumar P, Bhatia M. Role of Computed Tomography in Pre- and Postoperative Evaluation of a Double-Outlet Right Ventricle. J Cardiovasc Imaging. 2021;29(3):205-27. doi: 10.4250/jcvi.2020.0196.
    » https://doi.org/10.4250/jcvi.2020.0196
  • 1011 Sharma A, Priya S, Jagia P. Persistent Truncus Arteriosus on Dual Source CT. Jpn J Radiol. 2016;34(7):486-93. doi: 10.1007/s11604-016-0559-x.
    » https://doi.org/10.1007/s11604-016-0559-x
  • 1012 Gupta SK, Aggarwal A, Shaw M, Gulati GS, Kothari SS, Ramakrishnan S, et al. Clarifying the Anatomy of Common Arterial Trunk: A Clinical Study of 70 Patients. Eur Heart J Cardiovasc Imaging. 2020;21(8):914-22. doi: 10.1093/ehjci/jez255.
    » https://doi.org/10.1093/ehjci/jez255
  • 1013 Sato S, Akagi N, Uka M, Kato K, Okumura Y, Kanazawa S. Interruption of the Aortic Arch: Diagnosis with Multidetector Computed Tomography. Jpn J Radiol. 2011;29(1):46-50. doi: 10.1007/s11604-010-0517-y.
    » https://doi.org/10.1007/s11604-010-0517-y
  • 1014 Schreiber C, Eicken A, Balling G, Wottke M, Schumacher G, Un Paek S, et al. Single Centre Experience on Primary Correction of Common Arterial Trunk: Overall Survival and Freedom from Reoperation after More than 15 Years. Eur J Cardiothorac Surg. 2000;18(1):68-73. doi: 10.1016/s1010-7940(00)00449-8.
    » https://doi.org/10.1016/s1010-7940(00)00449-8
  • 1015 Naimo PS, Bell D, Fricke TA, d'Udekem Y, Brizard CP, Alphonso N, et al. Truncus Arteriosus Repair: A 40-year Multicenter Perspective. J Thorac Cardiovasc Surg. 2020;S0022-5223(20)31137-5. doi: 10.1016/j.jtcvs.2020.04.149.
    » https://doi.org/10.1016/j.jtcvs.2020.04.149
  • 1016 Luo K, Zheng J, Zhu Z, Gao B, He X, Xu Z, et al. Outcomes of Right Ventricular Outflow Tract Reconstruction for Children with Persistent Truncus Arteriosus: A 10-Year Single-Center Experience. Pediatr Cardiol. 2018;39(3):565-74. doi: 10.1007/s00246-017-1789-0.
    » https://doi.org/10.1007/s00246-017-1789-0
  • 1017 Chen Q, Gao H, Hua Z, Yang K, Yan J, Zhang H, et al. Outcomes of Surgical Repair for Persistent Truncus Arteriosus from Neonates to Adults: A Single Center's Experience. PLoS One. 2016;11(1):e0146800. doi: 10.1371/journal.pone.0146800.
    » https://doi.org/10.1371/journal.pone.0146800
  • 1018 Canan A, Ashwath R, Agarwal PP, François C, Rajiah P. Multimodality Imaging of Transposition of the Great Arteries. Radiographics. 2021;41(2):338-60. doi: 10.1148/rg.2021200069.
    » https://doi.org/10.1148/rg.2021200069
  • 1019 Legendre A, Losay J, Touchot-Koné A, Serraf A, Belli E, Piot JD, et al. Coronary Events after Arterial Switch Operation for Transposition of the Great Arteries. Circulation. 2003;108 Suppl 1:II186-90. doi: 10.1161/01.cir.0000087902.67220.2b.
    » https://doi.org/10.1161/01.cir.0000087902.67220.2b
  • 1020 Szymczyk K, Moll M, Sobczak-Budlewska K, Moll JA, Stefańczyk L, Grzelak P, et al. Usefulness of Routine Coronary CT Angiography in Patients with Transposition of the Great Arteries after an Arterial Switch Operation. Pediatr Cardiol. 2018;39(2):335-46. doi: 10.1007/s00246-017-1761-z.
    » https://doi.org/10.1007/s00246-017-1761-z
  • 1021 Michalak KW, Sobczak-Budlewska K, Moll JJ, Szymczyk K, Moll JA, et al. Can we Predict Potentially Dangerous Coronary Patterns in Patients with Transposition of the Great Arteries after an Arterial Switch Operation? Cardiol Young. 2019;29(11):1350-5. doi: 10.1017/S104795111900204X.
    » https://doi.org/10.1017/S104795111900204X
  • 1022 Schwartz ML, Gauvreau K, del Nido P, Mayer JE, Colan SD. Long-term Predictors of Aortic Root Dilation and Aortic Regurgitation after Arterial Switch Operation. Circulation. 2004;110(11 Suppl 1):II128-32. doi: 10.1161/01.CIR.0000138392.68841.d3.
    » https://doi.org/10.1161/01.CIR.0000138392.68841.d3
  • 1023 Cook SC, McCarthy M, Daniels CJ, Cheatham JP, Raman SV. Usefulness of Multislice Computed Tomography Angiography to Evaluate Intravascular Stents and Transcatheter Occlusion Devices in Patients with d-transposition of the Great Arteries after Mustard Repair. Am J Cardiol. 2004;94(7):967-9. doi: 10.1016/j.amjcard.2004.06.044.
    » https://doi.org/10.1016/j.amjcard.2004.06.044
  • 1024 Ou P, Khraiche D, Celermajer DS, Agnoletti G, Sang KHLQ, Thalabard JC, et al. Mechanisms of Coronary Complications after the Arterial Switch for Transposition of the Great Arteries. J Thorac Cardiovasc Surg. 2013;145(5):1263-9. doi: 10.1016/j.jtcvs.2012.06.009.
    » https://doi.org/10.1016/j.jtcvs.2012.06.009
  • 1025 Spigel Z, Binsalamah ZM, Caldarone C. Congenitally Corrected Transposition of the Great Arteries: Anatomic, Physiologic Repair, and Palliation. Semin Thorac Cardiovasc Surg Pediatr Card Surg Annu. 2019;22:32-42. doi: 10.1053/j.pcsu.2019.02.008.
    » https://doi.org/10.1053/j.pcsu.2019.02.008
  • 1026 Ranganath P, Singh S, Abbara S, Agarwal PP, Rajiah P. Computed Tomography in Adult Congenital Heart Disease. Radiol Clin North Am. 2019;57(1):85-111. doi: 10.1016/j.rcl.2018.08.013.
    » https://doi.org/10.1016/j.rcl.2018.08.013
  • 1027 Kutty S, Danford DA, Diller GP, Tutarel O. Contemporary Management and Outcomes in Congenitally Corrected Transposition of the Great Arteries. Heart. 2018;104(14):1148-55. doi: 10.1136/heartjnl-2016-311032.
    » https://doi.org/10.1136/heartjnl-2016-311032
  • 1028 Erbel R, Aboyans V, Boileau C, Bossone E, Bartolomeo RD, Eggebrecht H, et al. 2014 ESC Guidelines on the Diagnosis and Treatment of Aortic Diseases: Document Covering Acute and Chronic Aortic Diseases of the Thoracic and Abdominal Aorta of the Adult. The Task Force for the Diagnosis and Treatment of Aortic Diseases of the European Society of Cardiology (ESC). Eur Heart J. 2014;35(41):2873-926. doi: 10.1093/eurheartj/ehu281.
    » https://doi.org/10.1093/eurheartj/ehu281
  • 1029 Kir M, Saylam GS, Karadas U, Yilmaz N, Çakmakçi H, Uzuner N, et al. Vascular Rings: Presentation, Imaging Strategies, Treatment, and Outcome. Pediatr Cardiol. 2012;33(4):607-17. doi: 10.1007/s00246-012-0187-x.
    » https://doi.org/10.1007/s00246-012-0187-x
  • 1030 Jhang WK, Park JJ, Seo DM, Goo HW, Gwak M. Perioperative Evaluation of Airways in Patients with Arch Obstruction and Intracardiac Defects. Ann Thorac Surg. 2008;85(5):1753-8. doi: 10.1016/j.athoracsur.2008.01.059.
    » https://doi.org/10.1016/j.athoracsur.2008.01.059
  • 1031 Kim YM, Yoo SJ, Kim TH, Park IS, Kim WH, Lee JY, et al. Three-dimensional Computed Tomography in Children with Compression of the Central Airways Complicating Congenital Heart Disease. Cardiol Young. 2002;12(1):44-50. doi: 10.1017/s1047951102000082.
    » https://doi.org/10.1017/s1047951102000082
  • 1032 Choo KS, Lee HD, Ban JE, Sung SC, Chang YH, Kim CW, et al. Evaluation of Obstructive Airway Lesions in Complex Congenital Heart Disease Using Composite Volume-rendered Images from Multislice CT. Pediatr Radiol. 2006;36(3):219-23. doi: 10.1007/s00247-005-0058-1.
    » https://doi.org/10.1007/s00247-005-0058-1
  • 1033 Eichhorn JG, Jourdan C, Hill SL, Raman SV, Cheatham JP, Long FR. CT of Pediatric Vascular Stents Used to Treat Congenital Heart Disease. AJR Am J Roentgenol. 2008;190(5):1241-6. doi: 10.2214/AJR.07.3194.
    » https://doi.org/10.2214/AJR.07.3194
  • 1034 Chakrabarti S, Kenny D, Morgan G, Curtis SL, Hamilton MC, Wilde P, et al. Balloon Expandable Stent Implantation for Native and Recurrent Coarctation of the Aorta--prospective Computed Tomography Assessment of Stent Integrity, Aneurysm Formation and Stenosis Relief. Heart. 2010;96(15):1212-6. doi: 10.1136/hrt.2009.170928.
    » https://doi.org/10.1136/hrt.2009.170928
  • 1035 Hager A, Kanz S, Kaemmerer H, Schreiber C, Hess J. Coarctation Long-term Assessment (COALA): Significance of Arterial Hypertension in a Cohort of 404 Patients up to 27 Years After Surgical Repair of Isolated Coarctation of The Aorta, Even in the Absence of Restenosis and Prosthetic Material. J Thorac Cardiovasc Surg. 2007;134(3):738-45. doi: 10.1016/j.jtcvs.2007.04.027.
    » https://doi.org/10.1016/j.jtcvs.2007.04.027
  • 1036 Forbes TJ, Garekar S, Amin Z, Zahn EM, Nykanen D, Moore P, et al. Procedural Results and Acute Complications in Stenting Native and Recurrent Coarctation of the Aorta in Patients Over 4 Years of Age: A Multi-institutional Study. Catheter Cardiovasc Interv. 2007;70(2):276-85. doi: 10.1002/ccd.21164.
    » https://doi.org/10.1002/ccd.21164
  • 1037 Qureshi AM, McElhinney DB, Lock JE, Landzberg MJ, Lang P, Marshall AC. Acute and Intermediate Outcomes, and Evaluation of Injury to the Aortic Wall, as Based on 15 Years Experience of Implanting Stents to Treat Aortic Coarctation. Cardiol Young. 2007;17(3):307-18. doi: 10.1017/S1047951107000339.
    » https://doi.org/10.1017/S1047951107000339
  • 1038 Yang DH, Goo HW, Seo DM, Yun TJ, Park JJ, Park IS, et al. Multislice CT Angiography of Interrupted Aortic Arch. Pediatr Radiol. 2008;38(1):89-100. doi: 10.1007/s00247-007-0662-3.
    » https://doi.org/10.1007/s00247-007-0662-3
  • 1039 Hagelstein C, Henzler T, Haubenreisser H, Meyer M, Sudarski S, Schoenberg SO, et al. Ultra-high Pitch Chest Computed Tomography at 70 kVp Tube Voltage in an Anthropomorphic Pediatric Phantom and Non-sedated Pediatric Patients: Initial Experience with 3rd Generation Dual-source CT. Z Med Phys. 2016;26(4):349-61. doi: 10.1016/j.zemedi.2015.11.002.
    » https://doi.org/10.1016/j.zemedi.2015.11.002
  • 1040 Frescura C, Thiene G. The New Concept of Univentricular Heart. Front Pediatr. 2014;2:62. doi: 10.3389/fped.2014.00062.
    » https://doi.org/10.3389/fped.2014.00062
  • 1041 Jadhav SP, Aggarwal V, Masand PM, Diaz E, Zhang W, Qureshi AM. Correlation of Ductus Arteriosus Length and Morphology Between Computed Tomographic Angiography and Catheter Angiography and Their Relation to Ductal Stent Length. Pediatr Radiol. 2020;50(6):800-9. doi: 10.1007/s00247-020-04624-1.
    » https://doi.org/10.1007/s00247-020-04624-1
  • 1042 Piggott KD, Nykanen DG, Smith S. Computed Tomography Angiography Successfully Used to Diagnose Postoperative Systemic-pulmonary Artery Shunt Narrowing. Case Rep Cardiol. 2011;2011:802643. doi: 10.1155/2011/802643.
    » https://doi.org/10.1155/2011/802643
  • 1043 Goo HW. Serial Changes in Anatomy and Ventricular Function on Dual-source Cardiac Computed Tomography after the Norwood Procedure for Hypoplastic Left Heart Syndrome. Pediatr Radiol. 2017;47(13):1776-86. doi: 10.1007/s00247-017-3972-0.
    » https://doi.org/10.1007/s00247-017-3972-0
  • 1044 Han BK, Vezmar M, Lesser JR, Michalak G, Grant K, Dassenko D, et al. Selective Use of Cardiac Computed Tomography Angiography: An Alternative Diagnostic Modality Before Second-stage Single Ventricle Palliation. J Thorac Cardiovasc Surg. 2014;148(4):1548-54. doi: 10.1016/j.jtcvs.2014.04.047.
    » https://doi.org/10.1016/j.jtcvs.2014.04.047
  • 1045 Brown DW, Gauvreau K, Powell AJ, Lang P, del Nido PJ, Odegard KC, et al. Cardiac Magnetic Resonance Versus Routine Cardiac Catheterization Before Bidirectional Glenn Anastomosis: Long-term Follow-up of a Prospective Randomized Trial. J Thorac Cardiovasc Surg. 2013;146(5):1172-8. doi: 10.1016/j.jtcvs.2012.12.079.
    » https://doi.org/10.1016/j.jtcvs.2012.12.079
  • 1046 Nijres BM, Murphy JJ, Diab K, Awad S, Abdulla RI. Routine Cardiac Catheterization Prior to Fontan Operation: Is It a Necessity? Pediatr Cardiol. 2018;39(4):818-23. doi: 10.1007/s00246-018-1825-8.
    » https://doi.org/10.1007/s00246-018-1825-8
  • 1047 Mahani MG, Agarwal PP, Rigsby CK, Lu JC, Dehkordy SF, Wright RA, et al. CT for Assessment of Thrombosis and Pulmonary Embolism in Multiple Stages of Single-Ventricle Palliation: Challenges and Suggested Protocols. Radiographics. 2016;36(5):1273-84. doi: 10.1148/rg.2016150233.
    » https://doi.org/10.1148/rg.2016150233
  • 1048 de Lange C. Imaging of Complications Following Fontan Circulation in Children - Diagnosis and Surveillance. Pediatr Radiol. 2020;50(10):1333-48. doi: 10.1007/s00247-020-04682-5.
    » https://doi.org/10.1007/s00247-020-04682-5
  • 1049 Glöckler M, Koch A, Halbfaß J, Greim V, Rüffer A, Cesnjevar R, et al. Assessment of Cavopulmonary Connections by Advanced Imaging: Value of Flat-detector Computed Tomography. Cardiol Young. 2013;23(1):18-26. doi: 10.1017/S104795111200025X.
    » https://doi.org/10.1017/S104795111200025X
  • 1050 Lloyd DFA, Goreczny S, Austin C, Hussain T, Qureshi SA, Rosenthal E, et al. Catheter, MRI and CT Imaging in Newborns with Pulmonary Atresia with Ventricular Septal Defect and Aortopulmonary Collaterals: Quantifying the Risks of Radiation Dose and Anaesthetic Time. Pediatr Cardiol. 2018;39(7):1308-14. doi: 10.1007/s00246-018-1895-7.
    » https://doi.org/10.1007/s00246-018-1895-7
  • 1051 Meinel FG, Huda W, Schoepf UJ, Rao AG, Cho YJ, Baker GH, et al. Diagnostic Accuracy of CT Angiography in Infants with Tetralogy of Fallot with Pulmonary Atresia and Major Aortopulmonary Collateral Arteries. J Cardiovasc Comput Tomogr. 2013;7(6):367-75. doi: 10.1016/j.jcct.2013.11.001.
    » https://doi.org/10.1016/j.jcct.2013.11.001
  • 1052 Groner LK, Green DB, Singh HS, Truong QA. Major Aortopulmonary Collateral Arteries in a Case of Unrepaired Tricuspid and Pulmonary Atresia with Single Ventricle Physiology. J Cardiovasc Comput Tomogr. 2020;14(6):177-9. doi: 10.1016/j.jcct.2020.04.009.
    » https://doi.org/10.1016/j.jcct.2020.04.009
  • 1053 Kodama Y, Ishikawa Y, Kuraoka A, Nakamura M, Oda S, Nakano T, et al. Systemic-to-Pulmonary Collateral Flow Correlates with Clinical Condition Late after the Fontan Procedure. Pediatr Cardiol. 2020;41(8):1800-6. doi: 10.1007/s00246-020-02450-8.
    » https://doi.org/10.1007/s00246-020-02450-8
  • 1054 Friedman BA, Schoepf UJ, Bastarrika GA, Hlavacek AM. Computed Tomographic Angiography of Infants with Congenital Heart Disease Receiving Extracorporeal Membrane Oxygenation. Pediatr Cardiol. 2009;30(8):1154-6. doi: 10.1007/s00246-009-9488-0.
    » https://doi.org/10.1007/s00246-009-9488-0
  • 1055 Balan A, Lazoura O, Padley SP, Rubens M, Nicol ED. Atrial Isomerism: A Pictorial Review. J Cardiovasc Comput Tomogr. 2012;6(2):127-36. doi: 10.1016/j.jcct.2011.10.019.
    » https://doi.org/10.1016/j.jcct.2011.10.019
  • 1056 Wolla CD, Hlavacek AM, Schoepf UJ, Bucher AM, Chowdhury S. Cardiovascular Manifestations of Heterotaxy and Related Situs Abnormalities Assessed with CT Angiography. J Cardiovasc Comput Tomogr. 2013;7(6):408-16. doi: 10.1016/j.jcct.2013.11.008.
    » https://doi.org/10.1016/j.jcct.2013.11.008
  • 1057 Charcape CFU, Rodriguez LRA, Rojas IAM, Rantes CIL, Quintana MV, Tokeshi DAK, et al. Characterisation of Computed Tomography Angiography Findings in Paediatric Patients with Heterotaxy. Pediatr Radiol. 2019;49(9):1142-51. doi: 10.1007/s00247-019-04434-0.
    » https://doi.org/10.1007/s00247-019-04434-0
  • 1058 Sinha M, Pandey NN, Sharma A, Kumar S. Imaging Characteristics and Associations in Twisted Atrioventricular Connections on Multidetector Computed Tomography Angiography. J Card Surg. 2020;35(11):2979-86. doi: 10.1111/jocs.14960.
    » https://doi.org/10.1111/jocs.14960
  • 1059 Silvestry FE, Cohen MS, Armsby LB, Burkule NJ, Fleishman CE, Hijazi ZM, et al. Guidelines for the Echocardiographic Assessment of Atrial Septal Defect and Patent Foramen Ovale: From the American Society of Echocardiography and Society for Cardiac Angiography and Interventions. J Am Soc Echocardiogr. 2015;28(8):910-58. doi: 10.1016/j.echo.2015.05.015.
    » https://doi.org/10.1016/j.echo.2015.05.015
  • 1060 Beerbaum P, Körperich H, Barth P, Esdorn H, Gieseke J, Meyer H. Noninvasive Quantification of Left-to-right Shunt in Pediatric Patients: Phase-contrast Cine Magnetic Resonance Imaging Compared with Invasive Oximetry. Circulation. 2001;103(20):2476-82. doi: 10.1161/01.cir.103.20.2476.
    » https://doi.org/10.1161/01.cir.103.20.2476
  • 1061 Powell AJ, Geva T. Blood Flow Measurement by Magnetic Resonance Imaging in Congenital Heart Disease. Pediatr Cardiol. 2000;21(1):47-58. doi: 10.1007/s002469910007.
    » https://doi.org/10.1007/s002469910007
  • 1062 Piaw CS, Kiam OT, Rapaee A, Khoon LC, Bang LH, Ling CW, et al. Use of Non-invasive Phase Contrast Magnetic Resonance Imaging for Estimation of Atrial Septal Defect Size and Morphology: A Comparison with Transesophageal Echo. Cardiovasc Intervent Radiol. 2006;29(2):230-4. doi: 10.1007/s00270-005-0003-6.
    » https://doi.org/10.1007/s00270-005-0003-6
  • 1063 Fratz S, Chung T, Greil GF, Samyn MM, Taylor AM, Buechel ERV, et al. Guidelines and Protocols for Cardiovascular Magnetic Resonance in Children and Adults with Congenital Heart Disease: SCMR Expert Consensus Group on Congenital Heart Disease. J Cardiovasc Magn Reson. 2013;15(1):51. doi: 10.1186/1532-429X-15-51.
    » https://doi.org/10.1186/1532-429X-15-51
  • 1064 Mohrs OK, Petersen SE, Erkapic D, Rubel C, Schräder R, Nowak B, et al. Diagnosis of Patent Foramen Ovale Using Contrast-enhanced Dynamic MRI: A Pilot Study. AJR Am J Roentgenol. 2005;184(1):234-40. doi: 10.2214/ajr.184.1.01840234.
    » https://doi.org/10.2214/ajr.184.1.01840234
  • 1065 Nusser T, Höher M, Merkle N, Grebe OC, Spiess J, Kestler HA, et al. Cardiac Magnetic Resonance Imaging and Transesophageal Echocardiography in Patients with Transcatheter Closure of Patent Foramen Ovale. J Am Coll Cardiol. 2006;48(2):322-9. doi: 10.1016/j.jacc.2006.03.036.
    » https://doi.org/10.1016/j.jacc.2006.03.036
  • 1066 Nordmeyer S, Berger F, Kuehne T, Riesenkampff E. Flow-sensitive Four-dimensional Magnetic Resonance Imaging Facilitates and Improves the Accurate Diagnosis of Partial Anomalous Pulmonary Venous Drainage. Cardiol Young. 2011;21(5):528-35. doi: 10.1017/S1047951111000369.
    » https://doi.org/10.1017/S1047951111000369
  • 1067 Ntsinjana HN, Hughes ML, Taylor AM. The Role of Cardiovascular Magnetic Resonance in Pediatric Congenital Heart Disease. J Cardiovasc Magn Reson. 2011;13(1):51. doi: 10.1186/1532-429X-13-51.
    » https://doi.org/10.1186/1532-429X-13-51
  • 1068 Grosse-Wortmann L, Al-Otay A, Goo HW, Macgowan CK, Coles JG, Benson LN, et al. Anatomical and Functional Evaluation of Pulmonary Veins in Children by Magnetic Resonance Imaging. J Am Coll Cardiol. 2007;49(9):993-1002. doi: 10.1016/j.jacc.2006.09.052.
    » https://doi.org/10.1016/j.jacc.2006.09.052
  • 1069 Valsangiacomo ER, Barrea C, Macgowan CK, Smallhorn JF, Coles JG, Yoo SJ. Phase-contrast MR Assessment of Pulmonary Venous Blood Flow in Children with Surgically Repaired Pulmonary Veins. Pediatr Radiol. 2003;33(9):607-13. doi: 10.1007/s00247-003-0983-9.
    » https://doi.org/10.1007/s00247-003-0983-9
  • 1070 Videlefsky N, Parks WJ, Oshinski J, Hopkins KL, Sullivan KM, Pettigrew RI, et al. Magnetic Resonance Phase-shift Velocity Mapping in Pediatric Patients with Pulmonary Venous Obstruction. J Am Coll Cardiol. 2001;38(1):262-7. doi: 10.1016/s0735-1097(01)01338-9.
    » https://doi.org/10.1016/s0735-1097(01)01338-9
  • 1071 Festa P, Ait-Ali L, Cerillo AG, De Marchi D, Murzi B. Magnetic Resonance Imaging is the Diagnostic Tool of Choice in the Preoperative Evaluation of Patients with Partial Anomalous Pulmonary Venous Return. Int J Cardiovasc Imaging. 2006;22(5):685-93. doi: 10.1007/s10554-005-9070-7.
    » https://doi.org/10.1007/s10554-005-9070-7
  • 1072 Bremerich J, Reddy GP, Higgins CB. MRI of Supracristal Ventricular Septal Defects. J Comput Assist Tomogr. 1999;23(1):13-5. doi: 10.1097/00004728-199901000-00003.
    » https://doi.org/10.1097/00004728-199901000-00003
  • 1073 Yim D, Dragulescu A, Ide H, Seed M, Grosse-Wortmann L, van Arsdell G, et al. Essential Modifiers of Double Outlet Right Ventricle: Revisit with Endocardial Surface Images and 3-Dimensional Print Models. Circ Cardiovasc Imaging. 2018;11(3):e006891. doi: 10.1161/CIRCIMAGING.117.006891.
    » https://doi.org/10.1161/CIRCIMAGING.117.006891
  • 1074 Sagray E, Qureshi MY, Foley TA, Hagler DJ, O'Leary PW, Cetta F. Double-Outlet Left Ventricle: The Importance of Echocardiographic and Computed Tomographic Assessment. CASE. 2019;3(4):141-4. doi: 10.1016/j.case.2019.04.004.
    » https://doi.org/10.1016/j.case.2019.04.004
  • 1075 Neijenhuis RML, Tsang VT, Marek J, Issitt R, Bonello B, Von Klemperer K, et al. Cone Reconstruction for Ebstein Anomaly: Late Biventricular Function and Possible Remodeling. J Thorac Cardiovasc Surg. 2021;161(3):1097-108. doi: 10.1016/j.jtcvs.2020.10.124.
    » https://doi.org/10.1016/j.jtcvs.2020.10.124
  • 1076 Qureshi MY, Dearani JA. Commentary: Gold or Silver? Value of Cardiac Magnetic Resonance Imaging Over Echocardiography in Ebstein's Anomaly. J Thorac Cardiovasc Surg. 2021;161(3):1109-110. doi: 10.1016/j.jtcvs.2020.11.016.
    » https://doi.org/10.1016/j.jtcvs.2020.11.016
  • 1077 Beroukhim RS, Jing L, Harrild DM, Fornwalt BK, Mejia-Spiegeler A, Rhodes J, et al. Impact of the Cone Operation on Left Ventricular Size, Function, and Dyssynchrony in Ebstein Anomaly: A Cardiovascular Magnetic Resonance Study. J Cardiovasc Magn Reson. 2018;20(1):32. doi: 10.1186/s12968-018-0452-0.
    » https://doi.org/10.1186/s12968-018-0452-0
  • 1078 Cawley PJ, Hamilton-Craig C, Owens DS, Krieger EV, Strugnell WE, Mitsumori L, et al. Prospective Comparison of Valve Regurgitation Quantitation by Cardiac Magnetic Resonance Imaging and Transthoracic Echocardiography. Circ Cardiovasc Imaging. 2013;6(1):48-57. doi: 10.1161/CIRCIMAGING.112.975623.
    » https://doi.org/10.1161/CIRCIMAGING.112.975623
  • 1079 Garg P, Swift AJ, Zhong L, Carlhäll CJ, Ebbers T, Westenberg J, et al. Assessment of Mitral Valve Regurgitation by Cardiovascular Magnetic Resonance Imaging. Nat Rev Cardiol. 2020;17(5):298-312. doi: 10.1038/s41569-019-0305-z.
    » https://doi.org/10.1038/s41569-019-0305-z
  • 1080 Cantinotti M, Giordano R, Koestenberger M, Voges I, Santoro G, Franchi E, et al. Echocardiographic Examination of Mitral Valve Abnormalities in the Paediatric Population: Current Practices. Cardiol Young. 2020;30(1):1-11. doi: 10.1017/S1047951119003196.
    » https://doi.org/10.1017/S1047951119003196
  • 1081 Ishii S, Fujiwara T, Ando J, Takeda N, Inaba T, Inuzuka R, et al. Balloon Valvuloplasty to Treat Adult Symptomatic Pulmonary Valve Stenosis with Sequential Follow-Up Using Cardiac Magnetic Resonance Imaging in Combination with Echocardiography. Int Heart J. 2020;61(5):1075-8. doi: 10.1536/ihj.20-106.
    » https://doi.org/10.1536/ihj.20-106
  • 1082 Jost CHA, Edmister WD, Julsrud PR, Dearani JA, Tepe MS, Warnes CA, et al. Prospective Comparison of Echocardiography Versus Cardiac Magnetic Resonance Imaging in Patients with Ebstein's Anomaly. Int J Cardiovasc Imaging. 2012;28(5):1147-59. doi: 10.1007/s10554-011-9923-1.
    » https://doi.org/10.1007/s10554-011-9923-1
  • 1083 Jacobs K, Rigdon J, Chan F, Cheng JY, Alley MT, Vasanawala S, et al. Direct Measurement of Atrioventricular Valve Regurgitant Jets Using 4D Flow Cardiovascular Magnetic Resonance is accurate And Reliable For Children With Congenital Heart Disease: A Retrospective Cohort Study. J Cardiovasc Magn Reson. 2020;22(1):33. doi: 10.1186/s12968-020-00612-4.
    » https://doi.org/10.1186/s12968-020-00612-4
  • 1084 Samad MD, Wehner GJ, Arbabshirani MR, Jing L, Powell AJ, Geva T, et al. Predicting Deterioration of Ventricular Function in Patients with Repaired Tetralogy of Fallot Using Machine Learning. Eur Heart J Cardiovasc Imaging. 2018;19(7):730-8. doi: 10.1093/ehjci/jey003.
    » https://doi.org/10.1093/ehjci/jey003
  • 1085 Lumens J, Fan CS, Walmsley J, Yim D, Manlhiot C, Dragulescu A, et al. Relative Impact of Right Ventricular Electromechanical Dyssynchrony Versus Pulmonary Regurgitation on Right Ventricular Dysfunction and Exercise Intolerance in Patients after Repair of Tetralogy of Fallot. J Am Heart Assoc. 2019;8(2):e010903. doi: 10.1161/JAHA.118.010903.
    » https://doi.org/10.1161/JAHA.118.010903
  • 1086 Nakamura A, Horigome H, Seo Y, Ishizu T, Sumazaki R. Right Ventricular Remodeling Due to Pulmonary Regurgitation is Associated with Reduced Left Ventricular Free Wall Strain in Surgically Repaired Tetralogy of Fallot. Circ J. 2014;78(8):1960-6. doi: 10.1253/circj.cj-13-1588.
    » https://doi.org/10.1253/circj.cj-13-1588
  • 1087 Oosterhof T, Meijboom FJ, Vliegen HW, Hazekamp MG, Zwinderman AH, Bouma BJ, et al. Long-term Follow-up of Homograft Function after Pulmonary Valve Replacement in Patients with Tetralogy of Fallot. Eur Heart J. 2006;27(12):1478-84. doi: 10.1093/eurheartj/ehl033.
    » https://doi.org/10.1093/eurheartj/ehl033
  • 1088 Heng EL, Gatzoulis MA, Uebing A, Sethia B, Uemura H, Smith GC, et al. Immediate and Midterm Cardiac Remodeling after Surgical Pulmonary Valve Replacement in Adults With Repaired Tetralogy of Fallot: A Prospective Cardiovascular Magnetic Resonance and Clinical Study. Circulation. 2017;136(18):1703-13. doi: 10.1161/CIRCULATIONAHA.117.027402.
    » https://doi.org/10.1161/CIRCULATIONAHA.117.027402
  • 1089 Bokma JP, Winter MM, Oosterhof T, Vliegen HW, van Dijk AP, Hazekamp MG, et al. Preoperative Thresholds for Mid-to-late Haemodynamic and Clinical Outcomes after Pulmonary Valve Replacement in Tetralogy of Fallot. Eur Heart J. 2016;37(10):829-35. doi: 10.1093/eurheartj/ehv550.
    » https://doi.org/10.1093/eurheartj/ehv550
  • 1090 Geva T. Indications for Pulmonary Valve Replacement in Repaired Tetralogy of Fallot: The Quest Continues. Circulation. 2013;128(17):1855-7. doi: 10.1161/CIRCULATIONAHA.113.005878.
    » https://doi.org/10.1161/CIRCULATIONAHA.113.005878
  • 1091 Freling HG, Willems TP, van Melle JP, van Slooten YJ, Bartelds B, Berger RM, et al. Effect of Right Ventricular Outflow Tract Obstruction on Right Ventricular Volumes and Exercise Capacity in Patients with Repaired Tetralogy of Fallot. Am J Cardiol. 2014;113(4):719-23. doi: 10.1016/j.amjcard.2013.10.049.
    » https://doi.org/10.1016/j.amjcard.2013.10.049
  • 1092 Ordovas KG, Keedy A, Naeger DM, Kallianos K, Foster E, Liu J, et al. Dilatation of the Ascending Aorta is Associated with Presence of Aortic Regurgitation in Patients after Repair of Tetralogy of Fallot. Int J Cardiovasc Imaging. 2016;32(8):1265-72. doi: 10.1007/s10554-016-0902-4.
    » https://doi.org/10.1007/s10554-016-0902-4
  • 1093 Cavalcanti PEF, Sá MP, Santos CA, Esmeraldo IM, Escobar RR, Menezes AM, et al. Pulmonary Valve Replacement after Operative Repair of Tetralogy of Fallot: Meta-analysis and Meta-regression of 3,118 Patients from 48 Studies. J Am Coll Cardiol. 2013;62(23):2227-43. doi: 10.1016/j.jacc.2013.04.107.
    » https://doi.org/10.1016/j.jacc.2013.04.107
  • 1094 Knauth AL, Gauvreau K, Powell AJ, Landzberg MJ, Walsh EP, Lock JE, et al. Ventricular Size and Function Assessed by Cardiac MRI Predict Major Adverse Clinical Outcomes Late after Tetralogy of Fallot Repair. Heart. 2008;94(2):211-6. doi: 10.1136/hrt.2006.104745.
    » https://doi.org/10.1136/hrt.2006.104745
  • 1095 SEC Working Group for the ESC 2020 Guidelines for the Management of Adult Congenital Heart disease, Expert Reviewers for the ESC Guidelines for the Management of Adult Congenital Heart Disease and SEC Guidelines Committee. Comments on the 2020 ESC Guidelines for the Management of Adult Congenital Heart Disease. Rev Esp Cardiol. 2021;74(5):371-7. doi: 10.1016/j.rec.2020.11.025.
    » https://doi.org/10.1016/j.rec.2020.11.025
  • 1096 Assenza GE, Krieger EV, Baumgartner H, Cupido B, Dimopoulos K, Louis C, et al. AHA/ACC vs ESC Guidelines for Management of Adults With Congenital Heart Disease: JACC Guideline Comparison. J Am Coll Cardiol. 2021;78(19):1904-18. doi: 10.1016/j.jacc.2021.09.010.
    » https://doi.org/10.1016/j.jacc.2021.09.010
  • 1097 Bokma JP, Geva T, Sleeper LA, Narayan SVB, Wald R, Hickey K, et al. A Propensity Score-adjusted Analysis of Clinical Outcomes after Pulmonary Valve Replacement in Tetralogy of Fallot. Heart. 2018;104(9):738-44. doi: 10.1136/heartjnl-2017-312048.
    » https://doi.org/10.1136/heartjnl-2017-312048
  • 1098 Brown JW, Ruzmetov M, Okada Y, Vijay P, Turrentine MW. Surgical Results in Patients with Double Outlet Right Ventricle: A 20-year Experience. Ann Thorac Surg. 2001;72(5):1630-5. doi: 10.1016/s0003-4975(01)03079-x.
    » https://doi.org/10.1016/s0003-4975(01)03079-x
  • 1099 Dorfman AL, Geva T. Magnetic Resonance Imaging Evaluation of Congenital Heart Disease: Conotruncal Anomalies. J Cardiovasc Magn Reson. 2006;8(4):645-59. doi: 10.1080/10976640600721544.
    » https://doi.org/10.1080/10976640600721544
  • 1100 Colon M, Anderson RH, Weinberg P, Mussatto K, Bove E, Friedman AH. Anatomy, Morphogenesis, Diagnosis, Management, and Outcomes for Neonates with Common Arterial Trunk. Cardiol Young. 2008;18(Suppl 3):52-62. doi: 10.1017/S1047951108003296.
    » https://doi.org/10.1017/S1047951108003296
  • 1101 Chikkabyrappa S, Mahadevaiah G, Buddhe S, Alsaied T, Tretter J. Common Arterial Trunk: Physiology, Imaging, and Management. Semin Cardiothorac Vasc Anesth. 2019;23(2):225-36. doi: 10.1177/1089253218821382.
    » https://doi.org/10.1177/1089253218821382
  • 1102 Yacoub MH, Hosny H, Afifi A, Nagy M, Mahgoub A, Simry W, et al. Novel Concepts and Early Results of Repairing Common Arterial Trunk. Eur J Cardiothorac Surg. 2022;61(3):562-71. doi: 10.1093/ejcts/ezab336.
    » https://doi.org/10.1093/ejcts/ezab336
  • 1103 Vimala LR, Hanneman K, Thavendiranathan P, Nguyen ET, Silversides CK, Wald RM. Characteristics of Cardiovascular Magnetic Resonance Imaging and Outcomes in Adults With Repaired Truncus Arteriosus. Am J Cardiol. 2019;124(10):1636-42. doi: 10.1016/j.amjcard.2019.08.007.
    » https://doi.org/10.1016/j.amjcard.2019.08.007
  • 1104 Tobler D, Motwani M, Wald RM, Roche SL, Verocai F, Iwanochko RM, et al. Evaluation of a Comprehensive Cardiovascular Magnetic Resonance Protocol in Young Adults Late after the Arterial Switch Operation for D-Transposition of the Great Arteries. J Cardiovasc Magn Reson. 2014;16(1):98. doi: 10.1186/s12968-014-0098-5.
    » https://doi.org/10.1186/s12968-014-0098-5
  • 1105 Rydman R, Gatzoulis MA, Ho SY, Ernst S, Swan L, Li W, et al. Systemic Right Ventricular Fibrosis Detected by Cardiovascular Magnetic Resonance is Associated with Clinical Outcome, Mainly New-onset Atrial Arrhythmia, in Patients after Atrial Redirection Surgery for Transposition of the Great Arteries. Circ Cardiovasc Imaging. 2015;8(5):e002628. doi: 10.1161/CIRCIMAGING.114.002628.
    » https://doi.org/10.1161/CIRCIMAGING.114.002628
  • 1106 Lu JC, Dorfman AL, Attili AK, Mahani MG, Dillman JR, Agarwal PP. Evaluation with Cardiovascular MR Imaging of Baffles and Conduits Used in Palliation or Repair of Congenital Heart Disease. Radiographics. 2012;32(3):107-27. doi: 10.1148/rg.323115096.
    » https://doi.org/10.1148/rg.323115096
  • 1107 Wilson HC, Lu JC, Yu S, Lowery R, Mahani MG, Agarwal PP, et al. Ventricular Function in Physiologically Repaired and Unrepaired Congenitally Corrected Transposition of the Great Arteries. Am J Cardiol. 2022;165:95-100. doi: 10.1016/j.amjcard.2021.11.011.
    » https://doi.org/10.1016/j.amjcard.2021.11.011
  • 1108 van der Bom T, Romeih S, Groenink M, Pieper PG, van Dijk AP, Helbing WA, et al. Evaluating the Systemic Right Ventricle by Cardiovascular Magnetic Resonance: Short Axis or Axial Slices? Congenit Heart Dis. 2015;10(1):69-77. doi: 10.1111/chd.12182.
    » https://doi.org/10.1111/chd.12182
  • 1109 Helsen F, Claus P, Van De Bruaene A, Claessen G, La Gerche A, De Meester P, et al. Advanced Imaging to Phenotype Patients With a Systemic Right Ventricle. J Am Heart Assoc. 2018;7(20):e009185. doi: 10.1161/JAHA.118.009185.
    » https://doi.org/10.1161/JAHA.118.009185
  • 1110 Preim U, Hoffmann J, Lehmkuhl L, Kehrmann J, Riese F, Daehnert I, et al. Systemic Right Ventricles Rarely Show Myocardial Scars in Cardiac Magnetic Resonance Delayed-enhancement Imaging. Clin Res Cardiol. 2013;102(5):337-44. doi: 10.1007/s00392-013-0539-4.
    » https://doi.org/10.1007/s00392-013-0539-4
  • 1111 Barrios PA, Zia A, Pettersson G, Najm HK, Rajeswaran J, Bhimani S, et al. Outcomes of Treatment Pathways in 240 Patients with Congenitally Corrected Transposition of Great Arteries. J Thorac Cardiovasc Surg. 2021;161(3):1080-93. doi: 10.1016/j.jtcvs.2020.11.164.
    » https://doi.org/10.1016/j.jtcvs.2020.11.164
  • 1112 Kowalik E, Mazurkiewicz Ł, Kowalski M, Klisiewicz A, Marczak M, Hoffman P. Echocardiography vs Magnetic Resonance Imaging in Assessing Ventricular Function and Systemic Atrioventricular Valve Status in Adults with Congenitally Corrected Transposition of the Great Arteries. Echocardiography. 2016;33(11):1697-702. doi: 10.1111/echo.13339.
    » https://doi.org/10.1111/echo.13339
  • 1113 Banka P, Schaetzle B, Komarlu R, Emani S, Geva T, Powell AJ. Cardiovascular Magnetic Resonance Parameters Associated with Early Transplant-free Survival in Children with Small Left Hearts Following Conversion from a Univentricular to Biventricular Circulation. J Cardiovasc Magn Reson. 2014;16(1):73. doi: 10.1186/s12968-014-0073-1.
    » https://doi.org/10.1186/s12968-014-0073-1
  • 1114 Prakash A, Khan MA, Hardy R, Torres AJ, Chen JM, Gersony WM. A New Diagnostic Algorithm for Assessment of Patients with Single Ventricle Before a Fontan Operation. J Thorac Cardiovasc Surg. 2009;138(4):917-23. doi: 10.1016/j.jtcvs.2009.03.022.
    » https://doi.org/10.1016/j.jtcvs.2009.03.022
  • 1115 Rathod RH, Prakash A, Kim YY, Germanakis IE, Powell AJ, Gauvreau K, et al. Cardiac Magnetic Resonance Parameters Predict Transplantation-free Survival in Patients with Fontan Circulation. Circ Cardiovasc Imaging. 2014;7(3):502-9. doi: 10.1161/CIRCIMAGING.113.001473.
    » https://doi.org/10.1161/CIRCIMAGING.113.001473
  • 1116 Margossian R, Schwartz ML, Prakash A, Wruck L, Colan SD, Atz AM, et al. Comparison of Echocardiographic and Cardiac Magnetic Resonance Imaging Measurements of Functional Single Ventricular Volumes, Mass, and Ejection Fraction (from the Pediatric Heart Network Fontan Cross-Sectional Study). Am J Cardiol. 2009;104(3):419-28. doi: 10.1016/j.amjcard.2009.03.058.
    » https://doi.org/10.1016/j.amjcard.2009.03.058
  • 1117 Ait-Ali L, De Marchi D, Lombardi M, Scebba L, Picano E, Murzi B, et al. The Role of Cardiovascular Magnetic Resonance in Candidates for Fontan Operation: Proposal of a New Algorithm. J Cardiovasc Magn Reson. 2011;13(1):69. doi: 10.1186/1532-429X-13-69.
    » https://doi.org/10.1186/1532-429X-13-69
  • 1118 Grosse-Wortmann L, Yun TJ, Al-Radi O, Kim S, Nii M, Lee KJ, et al. Borderline Hypoplasia of the Left Ventricle in Neonates: Insights for Decision-making from Functional Assessment with Magnetic Resonance Imaging. J Thorac Cardiovasc Surg. 2008;136(6):1429-36. doi: 10.1016/j.jtcvs.2008.04.027.
    » https://doi.org/10.1016/j.jtcvs.2008.04.027
  • 1119 Festa P, Ait Ali L, Bernabei M, De Marchi D. The Role of Magnetic Resonance Imaging in the Evaluation of the Functionally Single Ventricle Before and after Conversion to the Fontan Circulation. Cardiol Young. 2005;15(Suppl 3):51-6. doi: 10.1017/S1047951105001642.
    » https://doi.org/10.1017/S1047951105001642
  • 1120 Meyer SL, Ridderbos FS, Wolff D, Eshuis G, van Melle JP, Ebels T, et al. Serial Cardiovascular Magnetic Resonance Feature Tracking Indicates Early Worsening of Cardiac Function in Fontan Patients. Int J Cardiol. 2020;303:23-9. doi: 10.1016/j.ijcard.2019.12.041.
    » https://doi.org/10.1016/j.ijcard.2019.12.041
  • 1121 Ghelani SJ, Harrild DM, Gauvreau K, Geva T, Rathod RH. Echocardiography and Magnetic Resonance Imaging Based Strain Analysis of Functional Single Ventricles: A Study of Intra- and Inter-modality Reproducibility. Int J Cardiovasc Imaging. 2016;32(7):1113-20. doi: 10.1007/s10554-016-0882-4.
    » https://doi.org/10.1007/s10554-016-0882-4
  • 1122 Ishizaki U, Nagao M, Shiina Y, Inai K, Mori H, Takahashi T, et al. Global Strain and Dyssynchrony of the Single Ventricle Predict Adverse Cardiac Events after the Fontan Procedure: Analysis Using Feature-tracking Cine Magnetic Resonance Imaging. J Cardiol. 2019;73(2):163-70. doi: 10.1016/j.jjcc.2018.07.005.
    » https://doi.org/10.1016/j.jjcc.2018.07.005
  • 1123 Brown DW, Gauvreau K, Powell AJ, Lang P, Colan SD, Del Nido PJ, et al. Cardiac Magnetic Resonance Versus Routine Cardiac Catheterization Before Bidirectional Glenn Anastomosis in Infants with Functional Single Ventricle: A Prospective Randomized Trial. Circulation. 2007;116(23):2718-25. doi: 10.1161/CIRCULATIONAHA.107.723213.
    » https://doi.org/10.1161/CIRCULATIONAHA.107.723213
  • 1124 Rathod RH, Prakash A, Powell AJ, Geva T. Myocardial Fibrosis Identified by Cardiac Magnetic Resonance Late Gadolinium Enhancement is Associated with Adverse Ventricular Mechanics and Ventricular Tachycardia Late after Fontan Operation. J Am Coll Cardiol. 2010;55(16):1721-8. doi: 10.1016/j.jacc.2009.12.036.
    » https://doi.org/10.1016/j.jacc.2009.12.036
  • 1125 Messroghli DR, Moon JC, Ferreira VM, Grosse-Wortmann L, He T, Kellman P, et al. Clinical Recommendations for Cardiovascular Magnetic Resonance Mapping of T1, T2, T2* and Extracellular Volume: A Consensus Statement by the Society for Cardiovascular Magnetic Resonance (SCMR) Endorsed by the European Association for Cardiovascular Imaging (EACVI). J Cardiovasc Magn Reson. 2017;19(1):75. doi: 10.1186/s12968-017-0389-8.
    » https://doi.org/10.1186/s12968-017-0389-8
  • 1126 Glatz AC, Rome JJ, Small AJ, Gillespie MJ, Dori Y, Harris MA, et al. Systemic-to-pulmonary Collateral Flow, as Measured by Cardiac Magnetic Resonance Imaging, is Associated with Acute Post-Fontan Clinical Outcomes. Circ Cardiovasc Imaging. 2012;5(2):218-25. doi: 10.1161/CIRCIMAGING.111.966986.
    » https://doi.org/10.1161/CIRCIMAGING.111.966986
  • 1127 Geva T. Quantification of Systemic-to-pulmonary Artery Collateral Flow: Challenges and Opportunities. Circ Cardiovasc Imaging. 2012;5(2):175-7. doi: 10.1161/CIRCIMAGING.111.972182.
    » https://doi.org/10.1161/CIRCIMAGING.111.972182
  • 1128 Grosse-Wortmann L, Al-Otay A, Yoo SJ. Aortopulmonary Collaterals after Bidirectional Cavopulmonary Connection or Fontan Completion: Quantification with MRI. Circ Cardiovasc Imaging. 2009;2(3):219-25. doi: 10.1161/CIRCIMAGING.108.834192.
    » https://doi.org/10.1161/CIRCIMAGING.108.834192
  • 1129 Latus H, Kruppa P, Hofmann L, Reich B, Jux C, Apitz C, et al. Impact of Aortopulmonary Collateral Flow and Single Ventricle Morphology on Longitudinal Hemodynamics in Fontan Patients: A Serial CMR Study. Int J Cardiol. 2020;311:28-34. doi: 10.1016/j.ijcard.2020.01.065.
    » https://doi.org/10.1016/j.ijcard.2020.01.065
  • 1130 Hart MR, Whiteside W, Yu S, Lowery R, Dorfman AL, Mahani MG, et al. Differences in Pulmonary and Systemic Flow Measurements by Cardiac Magnetic Resonance vs Cardiac Catheterization and Relation to Collateral Flow in Single Ventricle Patients. Pediatr Cardiol. 2020;41(5):885-91. doi: 10.1007/s00246-020-02327-w.
    » https://doi.org/10.1007/s00246-020-02327-w
  • 1131 Heinemann M, Breuer J, Steger V, Steil E, Sieverding L, Ziemer G. Incidence and Impact of Systemic Venous Collateral Development after Glenn and Fontan Procedures. Thorac Cardiovasc Surg. 2001;49(3):172-8. doi: 10.1055/s-2001-14339.
    » https://doi.org/10.1055/s-2001-14339
  • 1132 McElhinney DB, Reddy VM, Hanley FL, Moore P. Systemic Venous Collateral Channels Causing Desaturation after Bidirectional Cavopulmonary Anastomosis: Evaluation and Management. J Am Coll Cardiol. 1997;30(3):817-24. doi: 10.1016/s0735-1097(97)00223-4.
    » https://doi.org/10.1016/s0735-1097(97)00223-4
  • 1133 Magee AG, McCrindle BW, Mawson J, Benson LN, Williams WG, Freedom RM. Systemic Venous Collateral Development after the Bidirectional Cavopulmonary Anastomosis. Prevalence and Predictors. J Am Coll Cardiol. 1998;32(2):502-8. doi: 10.1016/s0735-1097(98)00246-0.
    » https://doi.org/10.1016/s0735-1097(98)00246-0
  • 1134 Menon S, Chennapragada M, Ugaki S, Sholler GF, Ayer J, Winlaw DS. The Lymphatic Circulation in Adaptations to the Fontan Circulation. Pediatr Cardiol. 2017;38(5):886-92. doi: 10.1007/s00246-017-1576-y.
    » https://doi.org/10.1007/s00246-017-1576-y
  • 1135 Chavhan GB, Lam CZ, Greer MC, Temple M, Amaral J, Grosse-Wortmann L. Magnetic Resonance Lymphangiography. Radiol Clin North Am. 2020;58(4):693-706. doi: 10.1016/j.rcl.2020.02.002.
    » https://doi.org/10.1016/j.rcl.2020.02.002
  • 1136 Pimpalwar S, Chinnadurai P, Chau A, Pereyra M, Ashton D, Masand P, et al. Dynamic Contrast Enhanced Magnetic Resonance Lymphangiography: Categorization of Imaging Findings and Correlation with Patient Management. Eur J Radiol. 2018;101:129-35. doi: 10.1016/j.ejrad.2018.02.021.
    » https://doi.org/10.1016/j.ejrad.2018.02.021
  • 1137 Itkin M, Nadolski GJ. Modern Techniques of Lymphangiography and Interventions: Current Status and Future Development. Cardiovasc Intervent Radiol. 2018;41(3):366-76. doi: 10.1007/s00270-017-1863-2.
    » https://doi.org/10.1007/s00270-017-1863-2
  • 1138 Itkin M, Pizarro C, Radtke W, Spurrier E, Rabinowitz DA. Lymphatic Management in Single-Ventricle Patients. Semin Thorac Cardiovasc Surg Pediatr Card Surg Annu. 2020;23:41-7. doi: 10.1053/j.pcsu.2020.03.001.
    » https://doi.org/10.1053/j.pcsu.2020.03.001
  • 1139 Dori Y, Keller MS, Fogel MA, Rome JJ, Whitehead KK, Harris MA, Itkin M. MRI of lymphatic abnormalities after functional single-ventricle palliation surgery. AJR Am J Roentgenol. 2014 Aug;203(2):426-31. doi: 10.2214/AJR.13.11797.
    » https://doi.org/10.2214/AJR.13.11797
  • 1140 Biko DM, DeWitt AG, Pinto EM, Morrison RE, Johnstone JA, Griffis H, et al. MRI Evaluation of Lymphatic Abnormalities in the Neck and Thorax after Fontan Surgery: Relationship with Outcome. Radiology. 2019;291(3):774-80. doi: 10.1148/radiol.2019180877.
    » https://doi.org/10.1148/radiol.2019180877
  • 1141 Kreutzer C, Klinger DA, Chiostri B, Sendoya S, Daneri ML, Gutierrez A, et al. Lymphatic Decompression Concomitant with Fontan/Kreutzer Procedure: Early Experience. World J Pediatr Congenit Heart Surg. 2020;11(3):284-92. doi: 10.1177/2150135120905656.
    » https://doi.org/10.1177/2150135120905656
  • 1142 Krishnamurthy R, Hernandez A, Kavuk S, Annam A, Pimpalwar S. Imaging the Central Conducting Lymphatics: Initial Experience with Dynamic MR Lymphangiography. Radiology. 2015;274(3):871-8. doi: 10.1148/radiol.14131399.
    » https://doi.org/10.1148/radiol.14131399
  • 1143 Murat SN, Yalcinkaya D, Yarlioglues M, Yigit H, Bozkurt U, Celik IE, et al. Diagnosis of Heterotaxy Syndrome in a Patient with Multiple Congenital Cardiac Malformations Using Magnetic Resonance Imaging. Circ Cardiovasc Imaging. 2020;13(9):e010307. doi: 10.1161/CIRCIMAGING.119.010307.
    » https://doi.org/10.1161/CIRCIMAGING.119.010307
  • 1144 Alharthi M, Mookadam F, Collins J, Chandrasekaran K, Scott L, Tajik AJ. Images in Cardiovascular Medicine. Extracardiac Venous Heterotaxy Syndrome: Complete Noninvasive Diagnosis by Multimodality Imaging. Circulation. 2008;117(25):498-503. doi: 10.1161/CIRCULATIONAHA.107.741041.
    » https://doi.org/10.1161/CIRCULATIONAHA.107.741041
  • 1145 Yim D, Nagata H, Lam CZ, Grosse-Wortmann L, Seed M, Jaeggi E, et al. Disharmonious Patterns of Heterotaxy and Isomerism: How Often Are the Classic Patterns Breached? Circ Cardiovasc Imaging. 2018;11(2):e006917. doi: 10.1161/CIRCIMAGING.117.006917.
    » https://doi.org/10.1161/CIRCIMAGING.117.006917
  • 1146 Oliveira ÍM, Aiello VD, Mindêllo MM, Martins YO, Pinto VC Jr. Criss-cross Heart: Report of Two Cases, Anatomic and Surgical Description and Literature Review. Rev Bras Cir Cardiovasc. 2013;28(1):93-102. doi: 10.5935/1678-9741.20130014.
    » https://doi.org/10.5935/1678-9741.20130014
  • 1147 Araoz PA, Reddy GP, Thomson PD, Higgins CB. Images in Cardiovascular Medicine. Magnetic Resonance Angiography of Criss-cross Heart. Circulation. 2002;105(4):537-8. doi: 10.1161/hc0402.100462.
    » https://doi.org/10.1161/hc0402.100462
  • 1148 Vieira MS, Alpendurada F, Babu-Narayan S, Kilner P. Criss-cross Heart: Twisted Anatomy by Cardiovascular Magnetic Resonance. Rev Port Cardiol. 2013;32(11):947-9. doi: 10.1016/j.repc.2013.05.003.
    » https://doi.org/10.1016/j.repc.2013.05.003
  • 1149 Ming Z, Yumin Z. Magnetic Resonance Evaluation of Criss-cross Heart. Pediatr Cardiol. 2008;29(2):359-65. doi: 10.1007/s00246-007-9069-z.
    » https://doi.org/10.1007/s00246-007-9069-z

Publication Dates

  • Publication in this collection
    28 Oct 2024
  • Date of issue
    2024
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