Literature DB >> 29340824

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

Sandeep Ganni1,2,3, Sanne M B I Botden4, Magdalena Chmarra5, Richard H M Goossens5, Jack J Jakimowicz5,6.   

Abstract

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.

Entities:  

Keywords:  Laparoscopic cholecystectomy; Laparoscopic skills; Motion tracking; Objective assessment; Training; Video-based assessment

Mesh:

Year:  2018        PMID: 29340824      PMCID: PMC5956097          DOI: 10.1007/s00464-018-6023-5

Source DB:  PubMed          Journal:  Surg Endosc        ISSN: 0930-2794            Impact factor:   4.584


  16 in total

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Authors:  E C Hamilton; D J Scott; J B Fleming; R V Rege; R Laycock; P C Bergen; S T Tesfay; D B Jones
Journal:  Surg Endosc       Date:  2001-12-10       Impact factor: 4.584

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Review 4.  Laparoscopic skills training and assessment.

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6.  The Eindhoven laparoscopic cholecystectomy training course--improving operating room performance using virtual reality training: results from the first E.A.E.S. accredited virtual reality trainings curriculum.

Authors:  M P Schijven; J J Jakimowicz; I A M J Broeders; L N L Tseng
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Review 7.  Systems for tracking minimally invasive surgical instruments.

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Review 8.  Methods and tools for objective assessment of psychomotor skills in laparoscopic surgery.

Authors:  Ignacio Oropesa; Patricia Sánchez-González; Pablo Lamata; Magdalena K Chmarra; José B Pagador; Juan A Sánchez-Margallo; Francisco M Sánchez-Margallo; Enrique J Gómez
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9.  Relevance of motion-related assessment metrics in laparoscopic surgery.

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10.  Surgical Skill Assessment Using Motion Quality and Smoothness.

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5.  Sensor-based machine learning for workflow detection and as key to detect expert level in laparoscopic suturing and knot-tying.

Authors:  Karl-Friedrich Kowalewski; Carly R Garrow; Mona W Schmidt; Laura Benner; Beat P Müller-Stich; Felix Nickel
Journal:  Surg Endosc       Date:  2019-02-21       Impact factor: 4.584

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7.  Validation of Motion Tracking Software for Evaluation of Surgical Performance in Laparoscopic Cholecystectomy.

Authors:  Sandeep Ganni; Sanne M B I Botden; Magdalena Chmarra; Meng Li; Richard H M Goossens; Jack J Jakimowicz
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