Title |
A software-based tool for video motion tracking in the surgical skills assessment landscape
|
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Published in |
Surgical Endoscopy, January 2018
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DOI | 10.1007/s00464-018-6023-5 |
Pubmed ID | |
Authors |
Sandeep Ganni, Sanne M. B. I. Botden, Magdalena Chmarra, Richard H. M. Goossens, Jack J. Jakimowicz |
Abstract |
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. 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. 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. 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. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 5 | 63% |
Italy | 1 | 13% |
Unknown | 2 | 25% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 38% |
Scientists | 2 | 25% |
Practitioners (doctors, other healthcare professionals) | 2 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 75 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 13% |
Student > Master | 10 | 13% |
Student > Bachelor | 8 | 11% |
Researcher | 7 | 9% |
Student > Postgraduate | 6 | 8% |
Other | 14 | 19% |
Unknown | 20 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 24 | 32% |
Engineering | 12 | 16% |
Computer Science | 6 | 8% |
Design | 3 | 4% |
Agricultural and Biological Sciences | 2 | 3% |
Other | 5 | 7% |
Unknown | 23 | 31% |