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The ophthalmologist and the grapes: A microsurgical training model

Abstract

Objective:

Develop a training model for corneal surgery using grapes.

Methods:

Grapes were used as structures that mimic the size of the human eyeball, covered with latex materials, simulating the practice of corneal surgery using a videomagnification system. Eight simple stitches were performed. The surgical time was evaluated.

Results:

25 simulations were carried out as the model described. The mean time taken for the raffia was 34.56 ± 5.79 minutes. The analysis of the correlation between the time and the order of the surgeries showed a reduction in the confection time.

Conclusion:

The ophthalmic training model using grapes proved to be capable of simulating the basic stages of microsurgery suture training.

Keywords:
Education, medical; Training; Low cost technology; Video recording; Animal use alternatives

Resumo

Objetivo:

Desenvolver um modelo de treinamento de cirurgias corneanas utilizando uvas.

Métodos:

Foram empregadas uvas como estruturas que mimetizam o tamanho do globo ocular humano, recobertas com materiais de látex, simulando a pratica de cirurgias de córnea utilizando um sistema de videomagnificação. Foram realizados oito pontos simples. Foi avaliado o tempo de confecção do procedimento.

Resultados:

Foram realizadas 25 simulações como o modelo descrito. O tempo médio de realização da rafia foi de 34,56 ±5,79 minutos. A análise da correlação entre o tempo e a ordem das cirurgias mostrou uma redução no tempo de confecção.

Conclusão:

O modelo de treinamento oftalmológico utilizando uvas mostrou-se capaz de simular as etapas básicas do treinamento de suturas microcirúrgicas.

Descritores:
Educação médica; Capacitação; Tecnologia de baixo custo; Gravação em vídeo; Alternativas ao uso de animais

Introduction

Ophthalmologists training is a long process,(11 Dean W, Gichuhi S, Buchan J, Matende I, Graham R, Kim M, et al. Survey of ophthalmologists-in-training in Eastern, Central and Southern Africa: A regional focus on ophthalmic surgical education. Wellcome Open Res. 2019;4:187.) mainly given the need of acquiring microsurgical skills, which require a long training process for trainees to be able to perform correct manipulation of instruments and use of the magnification system.(22 Al Saedi NG, Al-Sharif EM, Mousa A, Alsuhaibani AH. The impact of surgical training on the practice of recently graduated ophthalmologists at Riyadh's ophthalmology residency program. Saudi J Ophthalmol. 2019;33(4):319-25.,33 Sharma A, Kumar N, Bandello F, Loewenstein A, Kuppermann BD. Need of education on biosimilars amongst ophthalmologists: combating the nocebo effect. Eye (Lond). 2019 34(6):1006-7.)

Surgeon's lack of experience and skill during medical residency accounts a large number of operative complications that result in high costs and likely sequela for patients.(44 Ferris JD, Donachie PH, Johnston RL, Barnes B, Olaitan M, Sparrow JM. Royal College of Ophthalmologists' National Ophthalmology Database study of cataract surgery: report 6. The impact of EyeSi virtual reality training on complications rates of cataract surgery performed by first and second year trainees. Br J Ophthalmol. 2020;104(3):324-9.

5 Low SA, Braga-Mele R, Yan DB, El-Defrawy S. Intraoperative complication rates in cataract surgery performed by ophthalmology resident trainees compared to staff surgeons in a Canadian academic center. J Cataract Refract Surg. 2018;44(11):1344-9.
-66 Walkden A, Huxtable J, Senior M, Lee H, Naylor S, Turner S, et al. Trabeculectomy training in England: are we safe at training? Two year surgical outcomes. Eye (Lond). 2018;32(7):1253-8.) Therefore, there is the tendency to provide medical leaning in protected environment before practice in human beings (44 Ferris JD, Donachie PH, Johnston RL, Barnes B, Olaitan M, Sparrow JM. Royal College of Ophthalmologists' National Ophthalmology Database study of cataract surgery: report 6. The impact of EyeSi virtual reality training on complications rates of cataract surgery performed by first and second year trainees. Br J Ophthalmol. 2020;104(3):324-9.,66 Walkden A, Huxtable J, Senior M, Lee H, Naylor S, Turner S, et al. Trabeculectomy training in England: are we safe at training? Two year surgical outcomes. Eye (Lond). 2018;32(7):1253-8.,77 Rodrigues IA, Symes RJ, Turner S, Sinha A, Bowler G, Chan WH. Ophthalmic surgical training following modernising medical careers: regional variation in experience across the UK. BMJ Open. 2013;3(5):e002578.), since it is safer for patients and residents.

Using simulators in such a protected learning environment is highlighted because it changes the learning curve from the traditional learning model. Simulators allow training to the degree of competence and complexity of the resident, with step or difficulty repetitions, simulation of difficult or rare situations, greater opportunity for feedback, possibility of making mistakes without compromising results, among other benefits.(88 Kengen B, IJgosse WM, van Goor H, Luursema JM. Fast or safe? The role of impulsiveness in laparoscopic simulator performance. Am J Surg. 2020 Feb 29;S0002-9610(20)30137-9.

9 Alfawaz AM. Ophthalmology resident surgical training: can we do better? Saudi J Ophthalmol. 2019;33(2):159-62.
-1010 Kylstra JA, Diaz JD. A simple eye model for practicing indirect ophthalmoscopy and retinal laser photocoagulation. Digit J Ophthalmol. 2019;25(1):1-4.)

Some models were developed to simulate several skills, with emphasis on the ones with pig's eye. Despite the similarities with the human eye, such a model is limited due to ethical concerns and costs associated with raising animals.(1010 Kylstra JA, Diaz JD. A simple eye model for practicing indirect ophthalmoscopy and retinal laser photocoagulation. Digit J Ophthalmol. 2019;25(1):1-4.) There are artificial simulators that can solve this problem, however, their high cost excludes many professionals from getting familiarized with the necessary techniques.(88 Kengen B, IJgosse WM, van Goor H, Luursema JM. Fast or safe? The role of impulsiveness in laparoscopic simulator performance. Am J Surg. 2020 Feb 29;S0002-9610(20)30137-9.,99 Alfawaz AM. Ophthalmology resident surgical training: can we do better? Saudi J Ophthalmol. 2019;33(2):159-62.) Therefore, the aim of the current study wasd to develop a low cost model for ophthalmological surgery training based on using grapes.

Methods

Cross sectional experimental study carried out at Pará State University Experimental Surgery Laboratory. The current study complied with the Brazilian research laws (Brazilian Law n. 11.794/08) and the Helsinki declaration. Pará State University Animal Ethics Committee assessed and approved the research project.

The training model was made of grapes (species Vitis vinifera L.) acquired in a local supermarket. A cross section cut was initially performed in one of the grape poles to remove approximately one fifth of its content. Next, the grapes were 'wrapped' on previously cut (and without dust) glove fingers. Glove finger excess was cut out. A blue party-balloon disk with the same diameter and area of the exposed part of the grape was used as model lid. After the model was complete (Figure 1), it was fixed with silicone pad from the box of microsurgical instruments.

Figure 1
Training model completed

Microsurgical training was performed using a video magnification system(1111 de Barros RS, Brito MV, de Brito MH, de Aguiar Lédo Coutinho JV, Teixeira RK, Yamaki VN, et al. Morphofunctional evaluation of end-to-side neurorrhaphy through video system magnification. J Surg Res. 2018;221:64-8.,1212 Monteiro de Barros RS, Brito MV, Teixeira RK, Yamaki VN, Costa FL, Sabbá MF, et al. High-Definition Video System for Peripheral Neurorrhaphy in Rats. Surg Innov. 2017;24(4):369-72.), which consisted of a Sony© Handycam HDR-XR160 camera connected to a 55 'Curve Full HD TV through HDMI cable. Two fluorescent light sources were used near the board to provide adequate lighting to the operating field. Two surgeons with more than 5 years experience in video microsurgery performed the surgical procedure.

Training consisted of eight simple knots, made with mono-nylon thread 10-0 and 80 μm needle (3 mm length and 3/8 circle). Initially, a knot was made at each cardinal point (0º, 90º, 180º and 270º) and then between cardinal points.

The assessed parameters were: 1) Grape size; 2) Model making time; 3) Costs; 4) Suture time. Microsoft® Word and Excel software were used for data assessment, graph plotting and photo editing.

BioEstat© 5.4 software was used for statistical assessment. Pearson's correlation coefficient was assessed based on the time required for surgery and on surgery order, at 5% significant level.

Results

Used grapes mean size was 13mm (ranging from 11mm to 17mm). Mean model making time was 3 minutes (ranging from 2 to 7 minutes). Table 1 shows the total cost.

Table 1
Cost of model making and training

Twenty five simulations were performed with the described model (Figure 2). Mean suture time was 34.56 ±5.79 minutes. The corelation between surgy time and order showed reduction in the time required to perform the surgery (Pearson rho: -0.42, 95% CI: -027 – -0.90, p<0.01)

Figure 2
Training model with knots.

Discussion

Microsurgical practice is one of the critical points in ophtomologists training.(77 Rodrigues IA, Symes RJ, Turner S, Sinha A, Bowler G, Chan WH. Ophthalmic surgical training following modernising medical careers: regional variation in experience across the UK. BMJ Open. 2013;3(5):e002578.,1010 Kylstra JA, Diaz JD. A simple eye model for practicing indirect ophthalmoscopy and retinal laser photocoagulation. Digit J Ophthalmol. 2019;25(1):1-4.) The acquisition of microsurgical skills presents a long learning curve, since it encompasses the correct form of positioning and forming the monocular image, fine manual control and complex surgical techniques.(1111 de Barros RS, Brito MV, de Brito MH, de Aguiar Lédo Coutinho JV, Teixeira RK, Yamaki VN, et al. Morphofunctional evaluation of end-to-side neurorrhaphy through video system magnification. J Surg Res. 2018;221:64-8.,1212 Monteiro de Barros RS, Brito MV, Teixeira RK, Yamaki VN, Costa FL, Sabbá MF, et al. High-Definition Video System for Peripheral Neurorrhaphy in Rats. Surg Innov. 2017;24(4):369-72.)

Using simulation moves the learning curve and allows training ophthalmologist in order to reduce intra and postoperative complication levels, as well as ensures higher quality of care.(44 Ferris JD, Donachie PH, Johnston RL, Barnes B, Olaitan M, Sparrow JM. Royal College of Ophthalmologists' National Ophthalmology Database study of cataract surgery: report 6. The impact of EyeSi virtual reality training on complications rates of cataract surgery performed by first and second year trainees. Br J Ophthalmol. 2020;104(3):324-9.,55 Low SA, Braga-Mele R, Yan DB, El-Defrawy S. Intraoperative complication rates in cataract surgery performed by ophthalmology resident trainees compared to staff surgeons in a Canadian academic center. J Cataract Refract Surg. 2018;44(11):1344-9.,88 Kengen B, IJgosse WM, van Goor H, Luursema JM. Fast or safe? The role of impulsiveness in laparoscopic simulator performance. Am J Surg. 2020 Feb 29;S0002-9610(20)30137-9.

9 Alfawaz AM. Ophthalmology resident surgical training: can we do better? Saudi J Ophthalmol. 2019;33(2):159-62.
-1010 Kylstra JA, Diaz JD. A simple eye model for practicing indirect ophthalmoscopy and retinal laser photocoagulation. Digit J Ophthalmol. 2019;25(1):1-4.) The current study described a low cost model easy to be made that allows training microsurgical skills by using grapes, since they have shape and size similar to those of the eye globe.

Using the video magnification enables microsurgical training to be conducted outside the laboratory. The training section can be recorded and possible mistakes can be discussed afterwards, with more experienced ophthalmologists.(1111 de Barros RS, Brito MV, de Brito MH, de Aguiar Lédo Coutinho JV, Teixeira RK, Yamaki VN, et al. Morphofunctional evaluation of end-to-side neurorrhaphy through video system magnification. J Surg Res. 2018;221:64-8.,1212 Monteiro de Barros RS, Brito MV, Teixeira RK, Yamaki VN, Costa FL, Sabbá MF, et al. High-Definition Video System for Peripheral Neurorrhaphy in Rats. Surg Innov. 2017;24(4):369-72.) In addition, the video system makes simulated training easier to access due to reduced cost with the acquisition of microsurgical microscopes.

Outcomes in the current study confirm the viability of the model, but additional parameters can be used to better quantify microsurgical training such as quality of the knots, distance between stitches, time of each suture, number of unnecessary movements and perforations, number of lesions in grape pulp, among others. Therefore, it is possible developing specific training protocols focused on residents' skill level.(1010 Kylstra JA, Diaz JD. A simple eye model for practicing indirect ophthalmoscopy and retinal laser photocoagulation. Digit J Ophthalmol. 2019;25(1):1-4.) A Global Classification Scale was developed based on this premise (Table 2),(1313 Ezra DG, Aggarwal R, Michaelides M, Okhravi N, Verma S, Benjamin L, et al. Skills acquisition and assessment after a microsurgical skills course for ophthalmology residents. Ophthalmology. 2009;116(2):257-62.) it can be used as objective criterion for assessing and certifying the training process.

Table 2
Global Classification Scale

The main limits of the herein presented model are: low fidelity regarding the extra orbital and orbital structures (aqueous humor, cornea, among others), difficulty in fixing the model, lack of three-dimensional vision due to the use of the video system. However, these limitations do not render the model usless; it can be widely used in initial training stages.

Conclusion

The ophthalmic training model based on using grapes proved to be capable of simulating the basic suture training stages. The model has low cost and is easy to be made and purchase, as wells can be easily adapted for ophthalmology residents' training.

  • The current reserach was conducted at Pará State University Experimental Surgery Laboratory, Belém, Pará State, Brazil.

Referências

  • 1
    Dean W, Gichuhi S, Buchan J, Matende I, Graham R, Kim M, et al. Survey of ophthalmologists-in-training in Eastern, Central and Southern Africa: A regional focus on ophthalmic surgical education. Wellcome Open Res. 2019;4:187.
  • 2
    Al Saedi NG, Al-Sharif EM, Mousa A, Alsuhaibani AH. The impact of surgical training on the practice of recently graduated ophthalmologists at Riyadh's ophthalmology residency program. Saudi J Ophthalmol. 2019;33(4):319-25.
  • 3
    Sharma A, Kumar N, Bandello F, Loewenstein A, Kuppermann BD. Need of education on biosimilars amongst ophthalmologists: combating the nocebo effect. Eye (Lond). 2019 34(6):1006-7.
  • 4
    Ferris JD, Donachie PH, Johnston RL, Barnes B, Olaitan M, Sparrow JM. Royal College of Ophthalmologists' National Ophthalmology Database study of cataract surgery: report 6. The impact of EyeSi virtual reality training on complications rates of cataract surgery performed by first and second year trainees. Br J Ophthalmol. 2020;104(3):324-9.
  • 5
    Low SA, Braga-Mele R, Yan DB, El-Defrawy S. Intraoperative complication rates in cataract surgery performed by ophthalmology resident trainees compared to staff surgeons in a Canadian academic center. J Cataract Refract Surg. 2018;44(11):1344-9.
  • 6
    Walkden A, Huxtable J, Senior M, Lee H, Naylor S, Turner S, et al. Trabeculectomy training in England: are we safe at training? Two year surgical outcomes. Eye (Lond). 2018;32(7):1253-8.
  • 7
    Rodrigues IA, Symes RJ, Turner S, Sinha A, Bowler G, Chan WH. Ophthalmic surgical training following modernising medical careers: regional variation in experience across the UK. BMJ Open. 2013;3(5):e002578.
  • 8
    Kengen B, IJgosse WM, van Goor H, Luursema JM. Fast or safe? The role of impulsiveness in laparoscopic simulator performance. Am J Surg. 2020 Feb 29;S0002-9610(20)30137-9.
  • 9
    Alfawaz AM. Ophthalmology resident surgical training: can we do better? Saudi J Ophthalmol. 2019;33(2):159-62.
  • 10
    Kylstra JA, Diaz JD. A simple eye model for practicing indirect ophthalmoscopy and retinal laser photocoagulation. Digit J Ophthalmol. 2019;25(1):1-4.
  • 11
    de Barros RS, Brito MV, de Brito MH, de Aguiar Lédo Coutinho JV, Teixeira RK, Yamaki VN, et al. Morphofunctional evaluation of end-to-side neurorrhaphy through video system magnification. J Surg Res. 2018;221:64-8.
  • 12
    Monteiro de Barros RS, Brito MV, Teixeira RK, Yamaki VN, Costa FL, Sabbá MF, et al. High-Definition Video System for Peripheral Neurorrhaphy in Rats. Surg Innov. 2017;24(4):369-72.
  • 13
    Ezra DG, Aggarwal R, Michaelides M, Okhravi N, Verma S, Benjamin L, et al. Skills acquisition and assessment after a microsurgical skills course for ophthalmology residents. Ophthalmology. 2009;116(2):257-62.

Publication Dates

  • Publication in this collection
    05 Feb 2021
  • Date of issue
    Nov-Dec 2020

History

  • Received
    11 Mar 2020
  • Accepted
    6 July 2020
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