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A software-based tool for video motion tracking in the surgical skills assessment landscape

BACKGROUND: The use of motion tracking has been proved to provide an objective assessment in surgical skills training. Current systems, however, require the use of additional equipment or specialised laparoscopic instruments and cameras to extract the data. The aim of this study was to determine the...

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Autores principales: Ganni, Sandeep, Botden, Sanne M. B. I., Chmarra, Magdalena, Goossens, Richard H. M., Jakimowicz, Jack J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5956097/
https://www.ncbi.nlm.nih.gov/pubmed/29340824
http://dx.doi.org/10.1007/s00464-018-6023-5
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author Ganni, Sandeep
Botden, Sanne M. B. I.
Chmarra, Magdalena
Goossens, Richard H. M.
Jakimowicz, Jack J.
author_facet Ganni, Sandeep
Botden, Sanne M. B. I.
Chmarra, Magdalena
Goossens, Richard H. M.
Jakimowicz, Jack J.
author_sort Ganni, Sandeep
collection PubMed
description BACKGROUND: The use of motion tracking has been proved to provide an objective assessment in surgical skills training. Current systems, however, require the use of additional equipment or specialised laparoscopic instruments and cameras to extract the data. The aim of this study was to determine the possibility of using a software-based solution to extract the data. METHODS: 6 expert and 23 novice participants performed a basic laparoscopic cholecystectomy procedure in the operating room. The recorded videos were analysed using Kinovea 0.8.15 and the following parameters calculated the path length, average instrument movement and number of sudden or extreme movements. RESULTS: The analysed data showed that experts had significantly shorter path length (median 127 cm vs. 187 cm, p = 0.01), smaller average movements (median 0.40 cm vs. 0.32 cm, p = 0.002) and fewer sudden movements (median 14.00 vs. 21.61, p = 0.001) than their novice counterparts. CONCLUSION: The use of software-based video motion tracking of laparoscopic cholecystectomy is a simple and viable method enabling objective assessment of surgical performance. It provides clear discrimination between expert and novice performance.
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spelling pubmed-59560972018-05-18 A software-based tool for video motion tracking in the surgical skills assessment landscape Ganni, Sandeep Botden, Sanne M. B. I. Chmarra, Magdalena Goossens, Richard H. M. Jakimowicz, Jack J. Surg Endosc New Technology BACKGROUND: The use of motion tracking has been proved to provide an objective assessment in surgical skills training. Current systems, however, require the use of additional equipment or specialised laparoscopic instruments and cameras to extract the data. The aim of this study was to determine the possibility of using a software-based solution to extract the data. METHODS: 6 expert and 23 novice participants performed a basic laparoscopic cholecystectomy procedure in the operating room. The recorded videos were analysed using Kinovea 0.8.15 and the following parameters calculated the path length, average instrument movement and number of sudden or extreme movements. RESULTS: The analysed data showed that experts had significantly shorter path length (median 127 cm vs. 187 cm, p = 0.01), smaller average movements (median 0.40 cm vs. 0.32 cm, p = 0.002) and fewer sudden movements (median 14.00 vs. 21.61, p = 0.001) than their novice counterparts. CONCLUSION: The use of software-based video motion tracking of laparoscopic cholecystectomy is a simple and viable method enabling objective assessment of surgical performance. It provides clear discrimination between expert and novice performance. Springer US 2018-01-16 2018 /pmc/articles/PMC5956097/ /pubmed/29340824 http://dx.doi.org/10.1007/s00464-018-6023-5 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle New Technology
Ganni, Sandeep
Botden, Sanne M. B. I.
Chmarra, Magdalena
Goossens, Richard H. M.
Jakimowicz, Jack J.
A software-based tool for video motion tracking in the surgical skills assessment landscape
title A software-based tool for video motion tracking in the surgical skills assessment landscape
title_full A software-based tool for video motion tracking in the surgical skills assessment landscape
title_fullStr A software-based tool for video motion tracking in the surgical skills assessment landscape
title_full_unstemmed A software-based tool for video motion tracking in the surgical skills assessment landscape
title_short A software-based tool for video motion tracking in the surgical skills assessment landscape
title_sort software-based tool for video motion tracking in the surgical skills assessment landscape
topic New Technology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5956097/
https://www.ncbi.nlm.nih.gov/pubmed/29340824
http://dx.doi.org/10.1007/s00464-018-6023-5
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