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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2018
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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. |
format | Online Article Text |
id | pubmed-5956097 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
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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