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Enhanced Training Benefits of Video Recording Surgery With Automated Hand Motion Analysis
BACKGROUND: Hand motion analysis by video recording during surgery has potential for evaluation of surgical performance. The aim was to identify how technical skill during open surgery can be measured unobtrusively by video recording during a surgical procedure. We hypothesized that procedural-step...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7920885/ https://www.ncbi.nlm.nih.gov/pubmed/33392707 http://dx.doi.org/10.1007/s00268-020-05916-1 |
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author | Mackenzie, Colin F. Yang, Shiming Garofalo, Evan Hu, Peter Fu-Ming Watts, Darcy Patel, Rajan Puche, Adam Hagegeorge, George Shalin, Valerie Pugh, Kristy Granite, Guinevere Stansbury, Lynn G. Shackelford, Stacy Tisherman, Samuel |
author_facet | Mackenzie, Colin F. Yang, Shiming Garofalo, Evan Hu, Peter Fu-Ming Watts, Darcy Patel, Rajan Puche, Adam Hagegeorge, George Shalin, Valerie Pugh, Kristy Granite, Guinevere Stansbury, Lynn G. Shackelford, Stacy Tisherman, Samuel |
author_sort | Mackenzie, Colin F. |
collection | PubMed |
description | BACKGROUND: Hand motion analysis by video recording during surgery has potential for evaluation of surgical performance. The aim was to identify how technical skill during open surgery can be measured unobtrusively by video recording during a surgical procedure. We hypothesized that procedural-step timing, hand movements, instrument use and Shannon entropy differ with expertise and training and are concordant with a performance-based validated individual procedure score. METHODS: Surgeon and non-surgeon participants with varying training and levels of expertise were video recorded performing axillary artery exposure and control (AA) on un-preserved cadavers. Color-coded gloves permitted motion-tracking and automated extraction of entropy data from recordings. Timing and instrument-use metrics were obtained through observational video reviews. Shannon entropy measured speed, acceleration and direction by computer-vision algorithms. Findings were compared with individual procedure score for AA performance RESULTS: Experts had lowest entropy values, idle time, active time and shorter time to divide pectoralis minor, using fewer instruments. Residents improved with training, without reaching expert levels, and showed deterioration 12–18 months later. Individual procedure scores mirrored these results. Non-surgeons differed substantially. CONCLUSIONS: Hand motion entropy and timing metrics discriminate levels of surgical skill and training, and these findings are congruent with individual procedure score evaluations. These measures can be collected using consumer-level cameras and analyzed automatically with free software. Hand motion with video timing data may have widespread application to evaluate resident performance and can contribute to the range of evaluation and testing modalities available to educators, training course designers and surgical quality assurance programs. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s00268-020-05916-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7920885 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-79208852021-03-18 Enhanced Training Benefits of Video Recording Surgery With Automated Hand Motion Analysis Mackenzie, Colin F. Yang, Shiming Garofalo, Evan Hu, Peter Fu-Ming Watts, Darcy Patel, Rajan Puche, Adam Hagegeorge, George Shalin, Valerie Pugh, Kristy Granite, Guinevere Stansbury, Lynn G. Shackelford, Stacy Tisherman, Samuel World J Surg Original Scientific Report with Video BACKGROUND: Hand motion analysis by video recording during surgery has potential for evaluation of surgical performance. The aim was to identify how technical skill during open surgery can be measured unobtrusively by video recording during a surgical procedure. We hypothesized that procedural-step timing, hand movements, instrument use and Shannon entropy differ with expertise and training and are concordant with a performance-based validated individual procedure score. METHODS: Surgeon and non-surgeon participants with varying training and levels of expertise were video recorded performing axillary artery exposure and control (AA) on un-preserved cadavers. Color-coded gloves permitted motion-tracking and automated extraction of entropy data from recordings. Timing and instrument-use metrics were obtained through observational video reviews. Shannon entropy measured speed, acceleration and direction by computer-vision algorithms. Findings were compared with individual procedure score for AA performance RESULTS: Experts had lowest entropy values, idle time, active time and shorter time to divide pectoralis minor, using fewer instruments. Residents improved with training, without reaching expert levels, and showed deterioration 12–18 months later. Individual procedure scores mirrored these results. Non-surgeons differed substantially. CONCLUSIONS: Hand motion entropy and timing metrics discriminate levels of surgical skill and training, and these findings are congruent with individual procedure score evaluations. These measures can be collected using consumer-level cameras and analyzed automatically with free software. Hand motion with video timing data may have widespread application to evaluate resident performance and can contribute to the range of evaluation and testing modalities available to educators, training course designers and surgical quality assurance programs. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s00268-020-05916-1) contains supplementary material, which is available to authorized users. Springer International Publishing 2021-01-03 2021 /pmc/articles/PMC7920885/ /pubmed/33392707 http://dx.doi.org/10.1007/s00268-020-05916-1 Text en © The Author(s) 2021 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/. |
spellingShingle | Original Scientific Report with Video Mackenzie, Colin F. Yang, Shiming Garofalo, Evan Hu, Peter Fu-Ming Watts, Darcy Patel, Rajan Puche, Adam Hagegeorge, George Shalin, Valerie Pugh, Kristy Granite, Guinevere Stansbury, Lynn G. Shackelford, Stacy Tisherman, Samuel Enhanced Training Benefits of Video Recording Surgery With Automated Hand Motion Analysis |
title | Enhanced Training Benefits of Video Recording Surgery With Automated Hand Motion Analysis |
title_full | Enhanced Training Benefits of Video Recording Surgery With Automated Hand Motion Analysis |
title_fullStr | Enhanced Training Benefits of Video Recording Surgery With Automated Hand Motion Analysis |
title_full_unstemmed | Enhanced Training Benefits of Video Recording Surgery With Automated Hand Motion Analysis |
title_short | Enhanced Training Benefits of Video Recording Surgery With Automated Hand Motion Analysis |
title_sort | enhanced training benefits of video recording surgery with automated hand motion analysis |
topic | Original Scientific Report with Video |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7920885/ https://www.ncbi.nlm.nih.gov/pubmed/33392707 http://dx.doi.org/10.1007/s00268-020-05916-1 |
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