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Determining the learning curve for a novel microsurgical procedure using histopathology

PURPOSE: Wet laboratories are becoming an increasingly important training tool as part of a push to a proficiency-based training model. We created a microsurgical wet laboratory to investigate the utility of histopathology use in assessing surgical outcomes and determine the learning curve of a nove...

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Autores principales: Taher, Amir, Chow, Joanne, Kwon, Min Sung, Hunter, Damien, Lucewicz, Ania, Samarawickrama, Chameen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9066982/
https://www.ncbi.nlm.nih.gov/pubmed/35509098
http://dx.doi.org/10.1186/s12909-022-03407-6
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author Taher, Amir
Chow, Joanne
Kwon, Min Sung
Hunter, Damien
Lucewicz, Ania
Samarawickrama, Chameen
author_facet Taher, Amir
Chow, Joanne
Kwon, Min Sung
Hunter, Damien
Lucewicz, Ania
Samarawickrama, Chameen
author_sort Taher, Amir
collection PubMed
description PURPOSE: Wet laboratories are becoming an increasingly important training tool as part of a push to a proficiency-based training model. We created a microsurgical wet laboratory to investigate the utility of histopathology use in assessing surgical outcomes and determine the learning curve of a novel microsurgical procedure. METHODS: A microsurgical wet laboratory was established using pig eyes to simulate the human cornea. Three novice surgeons and an experienced surgeon performed an anterior cornea lamellar dissection and the duration of the procedure was recorded. With the aid of histological analysis, the thickness and characteristics of the dissected graft was recorded. The number of attempts to complete the experiment, defined as three successful dissections with mean thickness below 100 μm, was documented. RESULTS: The use of histopathology was highly successful allowing in-depth analysis of the dissected graft for each attempt. Trainees reached the endpoint of the study in 21, 26 and 36 attempts (mean: 28 attempts) whilst the corneal surgeon completed the experiment in 12 attempts (p = 0.07). Mean dissection thickness decreased over time for all participants. The mean dissection time for trainees was 10.6 ± 4.2 min compared to the corneal surgeon with a mean of 8.2 ± 3.1 min (p = 0.03). CONCLUSION: We propose a corneal wet laboratory model that allows for simple, efficient, and flexible microsurgical training. The use of histopathological analysis allows for careful graft analysis, providing objective feedback throughout the training exercise. Trainees demonstrated improvements in the three key aspects of the procedure: accuracy as evidenced by decreasing histological thickness, confidence by self-report and fluidity by decreasing duration of the procedure.
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spelling pubmed-90669822022-05-04 Determining the learning curve for a novel microsurgical procedure using histopathology Taher, Amir Chow, Joanne Kwon, Min Sung Hunter, Damien Lucewicz, Ania Samarawickrama, Chameen BMC Med Educ Research PURPOSE: Wet laboratories are becoming an increasingly important training tool as part of a push to a proficiency-based training model. We created a microsurgical wet laboratory to investigate the utility of histopathology use in assessing surgical outcomes and determine the learning curve of a novel microsurgical procedure. METHODS: A microsurgical wet laboratory was established using pig eyes to simulate the human cornea. Three novice surgeons and an experienced surgeon performed an anterior cornea lamellar dissection and the duration of the procedure was recorded. With the aid of histological analysis, the thickness and characteristics of the dissected graft was recorded. The number of attempts to complete the experiment, defined as three successful dissections with mean thickness below 100 μm, was documented. RESULTS: The use of histopathology was highly successful allowing in-depth analysis of the dissected graft for each attempt. Trainees reached the endpoint of the study in 21, 26 and 36 attempts (mean: 28 attempts) whilst the corneal surgeon completed the experiment in 12 attempts (p = 0.07). Mean dissection thickness decreased over time for all participants. The mean dissection time for trainees was 10.6 ± 4.2 min compared to the corneal surgeon with a mean of 8.2 ± 3.1 min (p = 0.03). CONCLUSION: We propose a corneal wet laboratory model that allows for simple, efficient, and flexible microsurgical training. The use of histopathological analysis allows for careful graft analysis, providing objective feedback throughout the training exercise. Trainees demonstrated improvements in the three key aspects of the procedure: accuracy as evidenced by decreasing histological thickness, confidence by self-report and fluidity by decreasing duration of the procedure. BioMed Central 2022-05-04 /pmc/articles/PMC9066982/ /pubmed/35509098 http://dx.doi.org/10.1186/s12909-022-03407-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Taher, Amir
Chow, Joanne
Kwon, Min Sung
Hunter, Damien
Lucewicz, Ania
Samarawickrama, Chameen
Determining the learning curve for a novel microsurgical procedure using histopathology
title Determining the learning curve for a novel microsurgical procedure using histopathology
title_full Determining the learning curve for a novel microsurgical procedure using histopathology
title_fullStr Determining the learning curve for a novel microsurgical procedure using histopathology
title_full_unstemmed Determining the learning curve for a novel microsurgical procedure using histopathology
title_short Determining the learning curve for a novel microsurgical procedure using histopathology
title_sort determining the learning curve for a novel microsurgical procedure using histopathology
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9066982/
https://www.ncbi.nlm.nih.gov/pubmed/35509098
http://dx.doi.org/10.1186/s12909-022-03407-6
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