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Effect of lateral decubitus acquisition in accuracy and lung severity estimation of chest computed tomography in children with suspected COVID-19

ABSTRACT

Objective

To compare inter-rater reliability, diagnostic accuracy, and extension of pulmonary involvement in children with suspected COVID-19 submitted to supine or supine and lateral decubitus computed tomography imaging.

Methods

Retrospective study carried out between March 2020 and March 2021 with patients submitted to reverse transcription-polymerase chain reaction testing and chest computed tomography. Patients were divided into two groups: supine or supine and lateral decubitus imaging. Standardized reporting systems of computed tomographic findings in COVID-19 and chest computed tomography score were used.

Results

One hundred and seventeen patients were enrolled. Moderate to substantial inter-rater reliability was observed for standardized reporting systems (weighted kappa, 0.553-0.764; p<0.001). Inter-rater reliability for the chest computed tomography score was substantial (weighted kappa, 0.620-0.670; p<0.001). Standardized reporting systems failed to predict COVID-19 in children, regardless of additional lateral decubitus imaging (area under the receiver operating characteristic curve, 0.491-0.608). Chest computed tomography scores assigned to lateral decubitus images were significantly lower.

Conclusion

Additional lateral decubitus imaging does not improve the accuracy of standardized reporting systems of computed tomographic findings in COVID-19 but may provide a more accurate estimation of lung involvement in uncooperative patients.

Coronavirus infections; COVID-19; Multidetector computed tomography; Child; Reverse transcriptase polymerase chain reaction; Tomography, X-ray computed

INTRODUCTION

Imaging assessment of coronavirus disease 2019 (COVID-19) in children remains a challenge. In adults with COVID-19, the typical chest computed tomography (CT) finding is ground-glass opacity with peripheral distribution, especially in the lower lobes, with or without consolidation.(11. El Homsi M, Chung M, Bernheim A, Jacobi A, King MJ, Lewis S, et al. Review of chest CT manifestations of COVID-19 infection. Eur J Radiol Open. 2020;7:100239.

2. Liu H, Liu F, Li J, Zhang T, Wang D, Lan W. Clinical and CT imaging features of the COVID-19 pneumonia: Focus on pregnant women and children. J Infect 2020;80:e7-13.

3. Bao C, Liu X, Zhang H, Li Y, Liu J. Coronavirus disease 2019 (COVID-19) CT findings: a systematic review and meta-analysis. J Am Coll Radiol. 2020;17(6):701-9.
-44 Foust AM, Phillips GS, Chu WC, Daltro P, Das KM, Garcia-Peña P, et al. International Expert Consensus Statement on Chest Imaging in Pediatric COVID-19 Patient Management: Imaging Findings, Imaging Study Reporting and Imaging Study Recommendations. Radiol Cardiothorac Imaging. 2020;2(2):e200214.) However, children may have no CT abnormalities or discrete CT findings, heterogeneous and nonspecific lung abnormalities, or more severe pulmonary involvement in cases with superimposed lung infection.(22. Liu H, Liu F, Li J, Zhang T, Wang D, Lan W. Clinical and CT imaging features of the COVID-19 pneumonia: Focus on pregnant women and children. J Infect 2020;80:e7-13.,44 Foust AM, Phillips GS, Chu WC, Daltro P, Das KM, Garcia-Peña P, et al. International Expert Consensus Statement on Chest Imaging in Pediatric COVID-19 Patient Management: Imaging Findings, Imaging Study Reporting and Imaging Study Recommendations. Radiol Cardiothorac Imaging. 2020;2(2):e200214.

5. Steinberger S, Lin B, Bernheim A, Chung M, Gao Y, Xie Z, et al. CT features of coronavirus disease (COVID-19) in 30 pediatric patients. AJR Am J Roentgenol. 2020;215(6):1303-11.

6. Chen A, Huang J, Liao Y, Liu Z, Chen D, Yang C, et al. Differences in clinical and imaging presentation of pediatric patients with COVID-19 in comparison with adults. Radiol Cardiothorac Imaging. 2020;2(2):e200117.

7. Li W, Cui H, Li K, Fang Y, Li S. Chest computed tomography in children with COVID-19 respiratory infection. Pediatr Radiol. 2020;50(6):796-9.

8. Liu M, Song Z, Xiao K. High-resolution computed tomography manifestations of 5 pediatric patients with 2019 novel coronavirus. J Comput Assist Tomogr. 2020;44(3):311-3.

9. Li Y, Cao J, Zhang X, Liu G, Wu X, Wu B. Chest CT imaging characteristics of COVID-19 pneumonia in preschool children: a retrospective study. BMC Pediatr. 2020;20(227):1-8.
-1010. Shelmerdine SC, Lovrenski J, Caro-Domínguez P, Toso S; Collaborators of the European Society of Paediatric Radiology Cardiothoracic Imaging Taskforce. Coronavirus disease 2019 (COVID-19) in children: a systematic review of imaging findings. Pediatr Radiol. 2020;50(9):1217-30.) In non-cooperative pediatric patients with suspected COVID-19, respiratory artifacts further complicate the interpretation of chest CT images, since they may simulate ground-glass opacities and falsely increase the extent of pulmonary involvement. There are two alternatives to overcome this issue: to sedate such patients and acquire images at the end of full inspiration or to acquire additional images in lateral decubitus.(1111. Choi SJ, Choi BK, Kim H, Lee SH, Choi SH, Park SJ, et al. Lateral decubitus HRCT: a simple technique to replace expiratory CT in children with air trapping. Pediatr Radiol. 2020;32(3):179-82.

12. Garcia-Peña P, Lucaya J. HRCT in children: technique and indications. Eur Radiol. 2004;14(Suppl 4):L13-30. Review.
-1313. Du Pasquier C, Hajri R, Lazor R, Daccord C, Gidoin S, Brauner M, et al. Pitfalls in diagnosis of infiltrative lung disease by CT. BJR Open. 2019;1(1):20190036. Review.)

Despite the countless publications on COVID-19, the impact of chest CT techniques on diagnostic accuracy, inter-rater agreement, lung lesion extension estimation and radiation exposure in children has seldom been discussed, if at all.

OBJECTIVE

To compare inter-rater reliability, diagnostic accuracy and extension of pulmonary involvement in children with suspected COVID-19 submitted to supine or supine and lateral decubitus computed tomography imaging.

METHODS

Patient population

A retrospective study with children submitted to unenhanced chest CT due to suspected COVID-19 was carried out at a large-scale tertiary children’s hospital between March 2020 and March 2021. During that time, 2,977 patients with suspected COVID-19 were admitted. Of these, 629 tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) based on ribonucleic acid identification using the reverse transcription-polymerase chain reaction (RT-PCR) assay. Children with suspected COVID-19 and moderate to severe clinical course or symptomatic deterioration, who were submitted to chest CT for complication detection or alternative diagnosis, were consecutively included. Patients older than 18 years and patients with incomplete or missing medical history or missing RT-PCR results were excluded. Follow-up scans were not used.

Imaging technique

All imaging exams were performed using a low-dose protocol and a 64-channel multidetector CT scanner (Revolution EVO, GE Healthcare), with slice thickness of 3.75-5mm, tube voltage of 80-120kVp, automatic tube current modulation (50-80mA), rotation time of 0.4-0.6 seconds, pitch of 0.98 and Adaptive Statistical Iterative Reconstruction (ASiR)-V (total average estimated effective dose <3mSv). Patients were scanned in the supine position, from the lung apex to the diaphragm. In cooperative patients, images were acquired only in the supine position (Supine Chest CT Group). In uncooperative patients, additional right and left lateral decubitus images were acquired (Lateral Decubitus Chest CT Group). Lateral decubitus and supine image acquisitions were programmed with the same scouts. Therefore, volume loss may have occurred in small areas of the lung apex or base while rotating the patient (no more than 3/4 of lung volume lost in lateral decubitus image acquisition). The hospital’s routine approach in uncooperative patients submitted to chest CT consists of additional image acquisition in lateral decubitus position instead of sedation due to cost constraints, risks inherent to anesthesia and absence of evidence of harm of low-dose (<10mSv) CT protocols.(1414. Sum MY, Ong YZ, Low SX, Lye WK, Tang PH. Using a checklist to assess if a child undergoing MRI needs general anaesthesia. Clin Radiol. 2019;74(6):488.e17-e23.

15. Cohen MD. ALARA, image gently and CT-induced cancer. Pediatr Radiol. 2015;45(4):465-70.
-1616. Goodman TR, Mustafa A, Rowe E. Pediatric CT radiation exposure: where we were, and where we are now. Pediatr Radiol. 2019;49(4):469-78. Review.)

In the Lateral Decubitus Chest CT Group, ground-glass opacities were detected only when increased attenuation persisted in the upper pulmonary field of images acquired in lateral decubitus (Figures 1A and B and Figure 2A and B).

Figure 1
Sixteen month-old boy with suspected COVID-19 infection. (A) Increased subpleural lung attenuation of the left lower lobe suggestive of ground-glass opacities in the image acquired in the supine position; (B) Findings were not confirmed in the image acquired in right lateral decubitus. This case would be classified as negative according to Consensus and 1 according to CO-RADS; however, laboratory test (reverse transcription-polymerase chain reaction) results were positive for COVID-19

Figure 2
Twenty-four month-old boy with suspected COVID-19 infection. (A) Increased subpleural lung attenuation in the posterior segment of the left lower lobe suggestive of ground-glass opacities in the image acquired in the supine position; (B) Persistence of increased attenuation in the hemithorax facing upwards in the image acquired in right lateral decubitus confirmed ground-glass opacities. This case would be classified as typical according to Consensus and 5 according to CO-RADS. However, laboratory test (reverse transcription-polymerase chain reaction) results were positive for cytomegalovirus infection and negative for COVID-19

Image interpretation

Images were independently reviewed by 2 pediatric radiologists (A and B) blinded to RT-PCR results. Imaging findings were described according to Fleischner Society guidelines(1717. Hansell DM, Bankier AA, MacMahon H, McLoud TC, Müller NL, Remy J. Fleischner Society: glossary of terms for thoracic imaging. Radiology. 2008;246(3):697-722.) and classified according to standardized reporting systems of CT findings in COVID-19.(44 Foust AM, Phillips GS, Chu WC, Daltro P, Das KM, Garcia-Peña P, et al. International Expert Consensus Statement on Chest Imaging in Pediatric COVID-19 Patient Management: Imaging Findings, Imaging Study Reporting and Imaging Study Recommendations. Radiol Cardiothorac Imaging. 2020;2(2):e200214.,1818. Prokop M, van Everdingen W, van Rees Vellinga T, Quarles van Ufford H, Stöger L, Beenen L, Geurts B, Gietema H, Krdzalic J, Schaefer-Prokop C, van Ginneken B, Brink M; COVID-19 Standardized Reporting Working Group of the Dutch Radiological Society. CO-RADS: a categorical CT assessment scheme for patients with suspected COVID-19: definition and evaluation. Radiology. 2020;296(2):E97-104.)

Standardized reporting systems were developed to facilitate the interpretation of reports by referring physicians and to stratify the risk of COVID-19.(44 Foust AM, Phillips GS, Chu WC, Daltro P, Das KM, Garcia-Peña P, et al. International Expert Consensus Statement on Chest Imaging in Pediatric COVID-19 Patient Management: Imaging Findings, Imaging Study Reporting and Imaging Study Recommendations. Radiol Cardiothorac Imaging. 2020;2(2):e200214.,1818. Prokop M, van Everdingen W, van Rees Vellinga T, Quarles van Ufford H, Stöger L, Beenen L, Geurts B, Gietema H, Krdzalic J, Schaefer-Prokop C, van Ginneken B, Brink M; COVID-19 Standardized Reporting Working Group of the Dutch Radiological Society. CO-RADS: a categorical CT assessment scheme for patients with suspected COVID-19: definition and evaluation. Radiology. 2020;296(2):E97-104.) Of these, the following two systems stand out: the International Pediatric Expert Consensus (hereinafter referred to as “Consensus”) and the COVID-19 Reporting and Data System (CO-RADS).(44 Foust AM, Phillips GS, Chu WC, Daltro P, Das KM, Garcia-Peña P, et al. International Expert Consensus Statement on Chest Imaging in Pediatric COVID-19 Patient Management: Imaging Findings, Imaging Study Reporting and Imaging Study Recommendations. Radiol Cardiothorac Imaging. 2020;2(2):e200214.,1818. Prokop M, van Everdingen W, van Rees Vellinga T, Quarles van Ufford H, Stöger L, Beenen L, Geurts B, Gietema H, Krdzalic J, Schaefer-Prokop C, van Ginneken B, Brink M; COVID-19 Standardized Reporting Working Group of the Dutch Radiological Society. CO-RADS: a categorical CT assessment scheme for patients with suspected COVID-19: definition and evaluation. Radiology. 2020;296(2):E97-104.)The Consensus was developed for pediatric patients and classifies chest CT imaging findings as negative, atypical, indeterminate or typical of COVID-19.(44 Foust AM, Phillips GS, Chu WC, Daltro P, Das KM, Garcia-Peña P, et al. International Expert Consensus Statement on Chest Imaging in Pediatric COVID-19 Patient Management: Imaging Findings, Imaging Study Reporting and Imaging Study Recommendations. Radiol Cardiothorac Imaging. 2020;2(2):e200214.) The CO-RADS was originally designed for the adult population but has also been used in children.(1818. Prokop M, van Everdingen W, van Rees Vellinga T, Quarles van Ufford H, Stöger L, Beenen L, Geurts B, Gietema H, Krdzalic J, Schaefer-Prokop C, van Ginneken B, Brink M; COVID-19 Standardized Reporting Working Group of the Dutch Radiological Society. CO-RADS: a categorical CT assessment scheme for patients with suspected COVID-19: definition and evaluation. Radiology. 2020;296(2):E97-104.,1919. Bayramoglu Z, Canıpek E, Comert RG, Gasimli N, Kaba O, Sarı Yanartaş M, et al. Imaging features of pediatric COVID-19 on chest radiography and chest CT: a retrospective, single-center study. Acad Radiol. 2021;28(1):18-27.) The CO-RADS classifies chest CT imaging findings as normal or non-infectious (CO-RADS 1), typical of infections other than COVID-19 (CO-RADS 2), equivocal for COVID-19 or consistent with other viral pneumonias or non-infectious diseases (CO-RADS 3), highly suspicious of COVID-19 (CO-RADS 4) and typical COVID-19 pattern (CO-RADS 5).(1818. Prokop M, van Everdingen W, van Rees Vellinga T, Quarles van Ufford H, Stöger L, Beenen L, Geurts B, Gietema H, Krdzalic J, Schaefer-Prokop C, van Ginneken B, Brink M; COVID-19 Standardized Reporting Working Group of the Dutch Radiological Society. CO-RADS: a categorical CT assessment scheme for patients with suspected COVID-19: definition and evaluation. Radiology. 2020;296(2):E97-104.)

The severity of chest CT findings was semi-quantitatively reported using the chest CT score. This score was originally developed for patients with severe acute respiratory syndrome (SARS) sequelae. However it has also been used in COVID-19 patients.(2020. Chang YC, Yu CJ, Chang SC, Galvin JR, Liu HM, Hsiao CH, et al. Pulmonary sequelae in convalescent patients after severe acute respiratory syndrome: evaluation with thin-section CT. Radiology. 2005;236(3):1067-75.,2121. Li K, Wu J, Wu F, Guo D, Chen L, Fang Z, Li C. The clinical and chest CT features associated with severe and critical COVID-19 pneumonia. Investigative radiology. 2020;55(6):327-31.) In this scoring system, each lobe is given a score of 0 (no pulmonary lobe involvement), 1 (<5% lobar involvement), 2 (5% to 25% lobar involvement), 3 (26% to 49% lobar involvement), 4 (50% to 75% lobar involvement) or 5 (>75% lobar involvement), the total score ranging from 0 to 25.(2020. Chang YC, Yu CJ, Chang SC, Galvin JR, Liu HM, Hsiao CH, et al. Pulmonary sequelae in convalescent patients after severe acute respiratory syndrome: evaluation with thin-section CT. Radiology. 2005;236(3):1067-75.)

The Consensus and CO-RADS classification systems were used in all patients included in this sample. The chest CT score was used in suspected cases of COVID-19 (i.e., Consensus = indeterminate or typical and CO-RADS = 3, 4 or 5). In the Lateral Decubitus Chest CT Group, images acquired in the supine position and in lateral decubitus were scored (i.e., two scores per patient).

Statistical analysis

Data were analyzed using SPSS 26.0 (IBM, New York, NY). Continuous variables were expressed as mean and standard deviation (SD) or median and interquartile range (IQR) (normally and not normally distributed data respectively). Associations between categorical variables were assessed using the Fisher’s exact test. Associations between continuous variables were assessed using the Student t-test or the Mann-Whitney U test (normally and not normally distributed variables respectively). Two-tailed p-values <0.05 were considered statistically significant.

Inter-rater reliability for CO-RADS and Consensus were calculated using the Cohen’s weighted Kappa. The strength of agreement was classified as poor (κ<0.00), slight (κ=0.21-0.40), moderate (κ=0.41-0.6), substantial (κ=0.61-0.8) or almost perfect (κ>0.80).(2222. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33(1):159-74.)

Receiver operating characteristic curves were constructed for CO-RADS and Consensus. Diagnostic accuracy was classified according to the area under the curve (AUC) as failed (AUC=0.5-0.6), poor (AUC=0.6-0.7), fair (AUC=0.7-0.8), good (AUC=0.8-0.9) or excellent (AUC=0.9-1).(2323. Zaletel-Kragelj L, Bozikov J. Methods and tools in public health. 1st ed. Germany: Lage; 2010. p. 749-70.)

Although most authors consider the chest CT score a continuous variable,(2121. Li K, Wu J, Wu F, Guo D, Chen L, Fang Z, Li C. The clinical and chest CT features associated with severe and critical COVID-19 pneumonia. Investigative radiology. 2020;55(6):327-31.,2424. Al-Mosawe AM, Abdulwahid HM, Fayadh NA. Spectrum of CT appearance and CT severity index of COVID-19 pulmonary infection in correlation with age, sex, and PCR test: an Iraqi experience. Egypt J Radiol Nucl Med. 2021; 52(1):40.

25. Saeed GA, Gaba W, Shah A, Al Helali AA, Raidullah E, Al Ali AB, et al. Correlation between chest CT severity scores and the clinical parameters of adult patients with COVID-19 pneumonia. Radiol Res Pract. 2021; 2021:6697677.
-2626. Ding X, Xu J, Zhou J, Long Q. Chest CT findings of COVID-19 pneumonia by duration of symptoms. Eur J Radiol. 2020;127:109009.) conceptually it is an ordinal variable. Therefore, inter-rater reliability was also calculated using Cohen’s weighted Kappa and chest CT score differences between images acquired in the supine and lateral decubitus positions (Lateral Decubitus Chest CT Group) assessed using the Wilcoxon signed-rank test.

Ethics

This single-center study was carried out in compliance with the Declaration of Helsinki and approved by the Committee on Human Research of the author’s institutions (Hospital de Crianças César Pernetta and Hospital Pequeno Príncipe; CAAE: 40814220.2.0000.0097; # 4.512.074). Given the retrospective nature of the study, the need for informed consent was waived.

RESULTS

A total of 142 patients were submitted to chest CT during the experimental period. Of these, 25 were excluded (Figure 3). Of 117 eligible patients, 87 were positive and 30 were negative for SARS-CoV-2 on RT-PCR (74% and 26% respectively). Fifty-six patients (48%) were submitted to additional lateral decubitus chest CT image acquisition, of whom 75% were aged <2 years (Table 1).

Figure 3
Flowchart of included and excluded patients

Table 1
CT: computed tomography; RT-PCR: reverse transcription-polymerase chain reaction.

. Demographic and clinical data


Moderate to substantial inter-rater reliability was observed for Consensus and CO-RADS. However, reliability did not improve in the group submitted to additional lateral decubitus image acquisition (Table 2).

Table 2
Inter-rater reliability for Consensus and CO-RADS(4,18)

Consensus and CO-RADS failed to predict COVID-19 and no accuracy improvement was obtained in the Lateral Decubitus Chest CT Group (Table 3).

Table 3
Diagnostic accuracy of standardized reporting systems(4,18)

Inter-rater chest CT score agreement was substantial, regardless of scanning technique (Supine Chest CT Group, weighted kappa, 0.670, 95%CI: 566-0.775, p<0.00; Lateral Decubitus Chest CT Group, weighted kappa, 0.620, 95%CI: 0.475-0.765, p<0.001). In the Lateral Decubitus Chest CT Group, chest CT scores assigned to lateral decubitus images were significantly lower compared to supine position images (Table 4).

Table 4
Chest computed tomography score in the Lateral Decubitus Chest Computed Tomography Group (n=56)

DISCUSSION

Additional chest CT imaging in lateral decubitus does not add benefit to the diagnosis of COVID-19 in children but does increase the precision of estimated pulmonary involvement.

The diagnosis of COVID-19 is usually confirmed by RT-PCR.(22. Liu H, Liu F, Li J, Zhang T, Wang D, Lan W. Clinical and CT imaging features of the COVID-19 pneumonia: Focus on pregnant women and children. J Infect 2020;80:e7-13.,1818. Prokop M, van Everdingen W, van Rees Vellinga T, Quarles van Ufford H, Stöger L, Beenen L, Geurts B, Gietema H, Krdzalic J, Schaefer-Prokop C, van Ginneken B, Brink M; COVID-19 Standardized Reporting Working Group of the Dutch Radiological Society. CO-RADS: a categorical CT assessment scheme for patients with suspected COVID-19: definition and evaluation. Radiology. 2020;296(2):E97-104.) However, since results may take hours to days, chest CT plays a significant role in clinical work-up and management guidance.(1818. Prokop M, van Everdingen W, van Rees Vellinga T, Quarles van Ufford H, Stöger L, Beenen L, Geurts B, Gietema H, Krdzalic J, Schaefer-Prokop C, van Ginneken B, Brink M; COVID-19 Standardized Reporting Working Group of the Dutch Radiological Society. CO-RADS: a categorical CT assessment scheme for patients with suspected COVID-19: definition and evaluation. Radiology. 2020;296(2):E97-104.) Although there are no specific target doses for chest CT in COVID-19, several authors endorse the use of low-dose protocols due to reduced radiation dose exposure with no significant compromise of signal-to-noise or contrast-to-noise ratios.(2727. Kang Z, Li X, Zhou S. Recommendation of low-dose CT in the detection and management of COVID-2019. Eur Radiol. 2020;30(8):4356-4357.,2828. Homayounieh F, Holmberg O, Umairi RA, Aly S, Basevičius A, Costa PR, et al. Variations in CT utilization, protocols, and radiation doses in COVID-19 pneumonia: results from 28 countries in the IAEA Study. Radiology. 2021;298(3):E141-51.)

The contribution of lateral decubitus CT imaging to the assessment of air trapping and ground-glass opacities has been well established in the literature.(1111. Choi SJ, Choi BK, Kim H, Lee SH, Choi SH, Park SJ, et al. Lateral decubitus HRCT: a simple technique to replace expiratory CT in children with air trapping. Pediatr Radiol. 2020;32(3):179-82.,1212. Garcia-Peña P, Lucaya J. HRCT in children: technique and indications. Eur Radiol. 2004;14(Suppl 4):L13-30. Review.) In these images, the hemithorax facing upwards is usually well aerated (corresponding to an inspiratory image), whereas the dependent hemithorax is poorly aerated (corresponding to an expiratory image).(1111. Choi SJ, Choi BK, Kim H, Lee SH, Choi SH, Park SJ, et al. Lateral decubitus HRCT: a simple technique to replace expiratory CT in children with air trapping. Pediatr Radiol. 2020;32(3):179-82.,1212. Garcia-Peña P, Lucaya J. HRCT in children: technique and indications. Eur Radiol. 2004;14(Suppl 4):L13-30. Review.) In images acquired in the supine position, inadequate inspiration in uncooperative patients may result in artifacts that mimic ground-glass opacities (respiratory motion or atelectasis in dependent lung segments).(1313. Du Pasquier C, Hajri R, Lazor R, Daccord C, Gidoin S, Brauner M, et al. Pitfalls in diagnosis of infiltrative lung disease by CT. BJR Open. 2019;1(1):20190036. Review.) Lateral decubitus imaging can be used to distinguish between such respiratory artifacts and true ground-glass opacity.(1111. Choi SJ, Choi BK, Kim H, Lee SH, Choi SH, Park SJ, et al. Lateral decubitus HRCT: a simple technique to replace expiratory CT in children with air trapping. Pediatr Radiol. 2020;32(3):179-82.) Despite their potential to enhance the precision of lung lesion severity estimation, additional lateral chest CT image acquisitions did not increase the diagnostic accuracy for COVID-19 in this study. Still, in the presence of limited diagnostic capacity due to significant motion artifacts in spite of patient immobilization, image acquisition in lateral decubitus using low-dose protocols is a valid alternative to sedation, since it is more cost-effective and eliminates the risks of adverse effects.(1414. Sum MY, Ong YZ, Low SX, Lye WK, Tang PH. Using a checklist to assess if a child undergoing MRI needs general anaesthesia. Clin Radiol. 2019;74(6):488.e17-e23.) Sedation increases scan costs and may cause respiratory depression, inability to maintain an open airway, cardiac arrest, prolonged restlessness, emergence delirium, post-sedation agitation and long-term harmful effects on the developing brain, such as behavioral and cognitive impairment.(1414. Sum MY, Ong YZ, Low SX, Lye WK, Tang PH. Using a checklist to assess if a child undergoing MRI needs general anaesthesia. Clin Radiol. 2019;74(6):488.e17-e23.,2929. Davidson A, deGraaff JC. Anesthesia and apoptosis in the developing brain: an update. Curr Anesthesiol Rep. 2013;3:57-63.,3030. Gottumukkala RV, Kalra MK, Tabari A, Otrakji A, Gee MS. Advanced CT techniques for decreasing radiation dose, reducing sedation requirements, and optimizing image quality in children. Radiographics. 2019;39(3):709-26. Review.)

Findings of this study do not support the diagnostic performance of CO-RADS reported in adults. However, our results are consistent with the literature regarding CO-RADS and chest CT score inter-rater reliability. Fair to excellent diagnostic accuracy and moderate to almost perfect inter-rater agreement for CO-RADS and the chest CT score have been reported by most authors in samples comprising primarily adult patients.(1818. Prokop M, van Everdingen W, van Rees Vellinga T, Quarles van Ufford H, Stöger L, Beenen L, Geurts B, Gietema H, Krdzalic J, Schaefer-Prokop C, van Ginneken B, Brink M; COVID-19 Standardized Reporting Working Group of the Dutch Radiological Society. CO-RADS: a categorical CT assessment scheme for patients with suspected COVID-19: definition and evaluation. Radiology. 2020;296(2):E97-104.,3131. Bellini D, Panvini N, Rengo M, Vicini S, Lichtner M, Tieghi T, et al. Diagnostic accuracy and interobserver variability of CO-RADS in patients with suspected coronavirus disease-2019: a multireader validation study. Eur Radiol. 2021; 31(4):1932-40.

32. Krdzalic J, de Jaegere TM, Kwee RM. Diagnostic performance of chest CT in screening patients with suspected COVID-19 infection in a Western population. Br J Radiol. 2020;93(1113):20200643.

33. Fujioka T, Takahashi M, Mori M, Tsuchiya J, Yamaga E, Horii T, et al. Evaluation of the usefulness of CO-RADS for chest CT in patients suspected of having COVID-19. Diagnostics (Basel). 2020;10(9):608.
-3434. Mruk B, Plucińska D, Walecki J, Półtorak-Szymczak G, Sklinda K. Chest computed tomography (CT) severity scales in COVID-19 disease: a validation study. Med Sci Monit. 2021;27:e931283.) Slight to moderate inter-rater agreement regarding CT findings has also been reported in children.(3535. Ugas-Charcape CF, Ucar ME, Almanza-Aranda J, Rizo-Patrón E, Lazarte-Rantes C, Caro-Domínguez P, et al. Pulmonary imaging in coronavirus disease 2019 (COVID-19): a series of 140 Latin American children. Pediatr Radiol. 2021;51(9):1597-607.) However, to the best of our knowledge, studies addressing diagnostic performance and inter-rater agreement of the Consensus classification and the CO-RADS scheme in pediatric patient populations have not been carried out to date. The low accuracy of the Consensus and CO-RADS scores for diagnosis of COVID-19 infection in children is likely due to the heterogeneous and nonspecific nature of lung CT findings in this age group.

This study has some limitations, such as retrospective design, small sample size and inclusion of only 2 independent raters. Further multi-center prospective studies with larger samples and a larger number of raters are warranted to confirm our findings.

CONCLUSION

Additional lateral decubitus chest computed tomographic imaging does not increase diagnostic accuracy for COVID-19. The only benefit provided by lateral decubitus imaging is a more accurate estimation of lung involvement in uncooperative patients. However, this technique should not be performed routinely. In the presence of limited diagnostic capacity due to significant motion artifacts in spite of patient immobilization, lateral decubitus imaging using low-dose protocols may be a cost-effective alternative to sedation.

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Publication Dates

  • Publication in this collection
    22 July 2022
  • Date of issue
    2022

History

  • Received
    14 Feb 2022
  • Accepted
    18 May 2022
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