Literature DB >> 27423649

Objective assessment based on motion-related metrics and technical performance in laparoscopic suturing.

Juan A Sánchez-Margallo1, Francisco M Sánchez-Margallo2, Ignacio Oropesa3,4, Silvia Enciso2, Enrique J Gómez3,4.   

Abstract

PURPOSE: The aim of this study is to present the construct and concurrent validity of a motion-tracking method of laparoscopic instruments based on an optical pose tracker and determine its feasibility as an objective assessment tool of psychomotor skills during laparoscopic suturing.
METHODS: A group of novice ([Formula: see text] laparoscopic procedures), intermediate (11-100 laparoscopic procedures) and experienced ([Formula: see text] laparoscopic procedures) surgeons performed three intracorporeal sutures on an ex vivo porcine stomach. Motion analysis metrics were recorded using the proposed tracking method, which employs an optical pose tracker to determine the laparoscopic instruments' position. Construct validation was measured for all 10 metrics across the three groups and between pairs of groups. Concurrent validation was measured against a previously validated suturing checklist. Checklists were completed by two independent surgeons over blinded video recordings of the task.
RESULTS: Eighteen novices, 15 intermediates and 11 experienced surgeons took part in this study. Execution time and path length travelled by the laparoscopic dissector presented construct validity. Experienced surgeons required significantly less time ([Formula: see text]), travelled less distance using both laparoscopic instruments ([Formula: see text]) and made more efficient use of the work space ([Formula: see text]) compared with novice and intermediate surgeons. Concurrent validation showed strong correlation between both the execution time and path length and the checklist score ([Formula: see text] and [Formula: see text], [Formula: see text]).
CONCLUSIONS: The suturing performance was successfully assessed by the motion analysis method. Construct and concurrent validity of the motion-based assessment method has been demonstrated for the execution time and path length metrics. This study demonstrates the efficacy of the presented method for objective evaluation of psychomotor skills in laparoscopic suturing. However, this method does not take into account the quality of the suture. Thus, future works will focus on developing new methods combining motion analysis and qualitative outcome evaluation to provide a complete performance assessment to trainees.

Entities:  

Keywords:  Intracorporeal suturing; Laparoscopic surgery; Motion metrics; Objective assessment; Surgical training; Suturing checklist

Mesh:

Year:  2016        PMID: 27423649     DOI: 10.1007/s11548-016-1459-3

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  28 in total

1.  Proving the value of simulation in laparoscopic surgery.

Authors:  Gerald M Fried; Liane S Feldman; Melina C Vassiliou; Shannon A Fraser; Donna Stanbridge; Gabriela Ghitulescu; Christopher G Andrew
Journal:  Ann Surg       Date:  2004-09       Impact factor: 12.969

2.  A global assessment tool for evaluation of intraoperative laparoscopic skills.

Authors:  Melina C Vassiliou; Liane S Feldman; Christopher G Andrew; Simon Bergman; Karen Leffondré; Donna Stanbridge; Gerald M Fried
Journal:  Am J Surg       Date:  2005-07       Impact factor: 2.565

3.  Bimodal assessment of laparoscopic suturing skills: construct and concurrent validity.

Authors:  K Moorthy; Y Munz; A Dosis; F Bello; A Chang; A Darzi
Journal:  Surg Endosc       Date:  2004-10-11       Impact factor: 4.584

4.  An evaluation of the feasibility, validity, and reliability of laparoscopic skills assessment in the operating room.

Authors:  Rajesh Aggarwal; Teodor Grantcharov; Krishna Moorthy; Thor Milland; Pavlos Papasavas; Aristotelis Dosis; Fernando Bello; Ara Darzi
Journal:  Ann Surg       Date:  2007-06       Impact factor: 12.969

Review 5.  Objective assessment of technical performance.

Authors:  Gerald M Fried; Liane S Feldman
Journal:  World J Surg       Date:  2008-02       Impact factor: 3.352

Review 6.  Is motion analysis a valid tool for assessing laparoscopic skill?

Authors:  John D Mason; James Ansell; Neil Warren; Jared Torkington
Journal:  Surg Endosc       Date:  2012-12-12       Impact factor: 4.584

7.  Usefulness of an optical tracking system in laparoscopic surgery for motor skills assessment.

Authors:  Juan A Sánchez-Margallo; Francisco M Sánchez-Margallo; José B Pagador Carrasco; Ignacio Oropesa García; Enrique J Gómez Aguilera; José Moreno del Pozo
Journal:  Cir Esp       Date:  2013-05-10       Impact factor: 1.653

8.  Objective assessment of the suture ligature method for the laparoscopic intestinal anastomosis model using a new computerized system.

Authors:  Munenori Uemura; Makoto Yamashita; Morimasa Tomikawa; Satoshi Obata; Ryota Souzaki; Satoshi Ieiri; Kenoki Ohuchida; Noriyuki Matsuoka; Tamotsu Katayama; Makoto Hashizume
Journal:  Surg Endosc       Date:  2014-07-09       Impact factor: 4.584

9.  EVA: laparoscopic instrument tracking based on Endoscopic Video Analysis for psychomotor skills assessment.

Authors:  Ignacio Oropesa; Patricia Sánchez-González; Magdalena K Chmarra; Pablo Lamata; Alvaro Fernández; Juan A Sánchez-Margallo; Frank Willem Jansen; Jenny Dankelman; Francisco M Sánchez-Margallo; Enrique J Gómez
Journal:  Surg Endosc       Date:  2012-10-06       Impact factor: 4.584

10.  Simulation-based training improves the operative performance of totally extraperitoneal (TEP) laparoscopic inguinal hernia repair: a prospective randomized controlled trial.

Authors:  Yo Kurashima; Liane S Feldman; Pepa A Kaneva; Gerald M Fried; Simon Bergman; Sebastian V Demyttenaere; Chao Li; Melina C Vassiliou
Journal:  Surg Endosc       Date:  2013-10-23       Impact factor: 4.584

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  9 in total

1.  Simulation platforms to assess laparoscopic suturing skills: a scoping review.

Authors:  Elif Bilgic; Motaz Alyafi; Tomonori Hada; Tara Landry; Gerald M Fried; Melina C Vassiliou
Journal:  Surg Endosc       Date:  2019-05-14       Impact factor: 4.584

2.  Interpretation of motion analysis of laparoscopic instruments based on principal component analysis in box trainer settings.

Authors:  Ignacio Oropesa; Fernando Pérez Escamirosa; Juan A Sánchez-Margallo; Silvia Enciso; Borja Rodríguez-Vila; Arturo Minor Martínez; Francisco M Sánchez-Margallo; Enrique J Gómez; Patricia Sánchez-González
Journal:  Surg Endosc       Date:  2018-01-18       Impact factor: 4.584

Review 3.  A scoping review of assessment tools for laparoscopic suturing.

Authors:  Elif Bilgic; Satoshi Endo; Ekaterina Lebedeva; Madoka Takao; Katherine M McKendy; Yusuke Watanabe; Liane S Feldman; Melina C Vassiliou
Journal:  Surg Endosc       Date:  2018-05-03       Impact factor: 4.584

4.  Objective classification of psychomotor laparoscopic skills of surgeons based on three different approaches.

Authors:  Fernando Pérez-Escamirosa; Antonio Alarcón-Paredes; Gustavo Adolfo Alonso-Silverio; Ignacio Oropesa; Oscar Camacho-Nieto; Daniel Lorias-Espinoza; Arturo Minor-Martínez
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-10-11       Impact factor: 2.924

5.  Scene-dependent, feedforward eye gaze metrics can differentiate technical skill levels of trainees in laparoscopic surgery.

Authors:  Chaitanya S Kulkarni; Shiyu Deng; Tianzi Wang; Jacob Hartman-Kenzler; Laura E Barnes; Sarah Henrickson Parker; Shawn D Safford; Nathan Lau
Journal:  Surg Endosc       Date:  2022-09-19       Impact factor: 3.453

6.  Motion analysis for better understanding of psychomotor skills in laparoscopy: objective assessment-based simulation training using animal organs.

Authors:  Koki Ebina; Takashige Abe; Madoka Higuchi; Jun Furumido; Naoya Iwahara; Masafumi Kon; Kiyohiko Hotta; Shunsuke Komizunai; Yo Kurashima; Hiroshi Kikuchi; Ryuji Matsumoto; Takahiro Osawa; Sachiyo Murai; Teppei Tsujita; Kazuya Sase; Xiaoshuai Chen; Atsushi Konno; Nobuo Shinohara
Journal:  Surg Endosc       Date:  2020-09-09       Impact factor: 4.584

7.  [Chinese Expert Consensus Statement on Clinical Evaluation System of Medical Endoscopy].

Authors: 
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2020-06-20

8.  Application of machine learning to the identification of joint degrees of freedom involved in abnormal movement during upper limb prosthesis use.

Authors:  Sophie L Wang; Conor Bloomer; Gene Civillico; Kimberly Kontson
Journal:  PLoS One       Date:  2021-02-11       Impact factor: 3.240

9.  Use of a new device for gasless endosurgery in a laparoscopic diaphragmatic hernia repair ex vivo canine model: A pre-clinical study.

Authors:  Maurício V Brun; Juan A Sánchez-Margallo; Marco A Machado-Silva; Francisco M Sánchez-Margallo
Journal:  Vet Med Sci       Date:  2021-12-08
  9 in total

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