Literature DB >> 29933932

Arthroscopic simulation using a knee model can be used to train speed and gaze strategies in knee arthroscopy.

Vincent V G An1, Yusuf Mirza2, Evangelos Mazomenos3, Francisco Vasconcelos3, Danail Stoyanov3, Sam Oussedik2.   

Abstract

PURPOSE: This study aimed to determine the effect of a simulation course on gaze fixation strategies of participants performing arthroscopy.
METHODS: Participants (n = 16) were recruited from two one-day simulation-based knee arthroscopy courses, and were asked to undergo a task before and after the course, which involved identifying a series of arthroscopic landmarks. The gaze fixation of the participants was recorded with a wearable eye-tracking system. The time taken to complete the task and proportion of time participants spent with their gaze fixated on the arthroscopic stack, the knee model, and away from the stack or knee model were recorded.
RESULTS: Participants demonstrated a statistically decreased completion time in their second attempt compared to the first attempt (P = 0.001). In their second attempt, they also demonstrated improved gaze fixation strategies, with a significantly increased amount (P = 0.008) and proportion of time (P = 0.003) spent fixated on the screen vs. knee model.
CONCLUSION: Simulation improved arthroscopic skills in orthopaedic surgeons, specifically by improving their gaze control strategies and decreasing the amount of time taken to identify and mark landmarks in an arthroscopic task.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Arthroscopy; Simulation training; Surgical education

Mesh:

Year:  2018        PMID: 29933932     DOI: 10.1016/j.knee.2018.05.019

Source DB:  PubMed          Journal:  Knee        ISSN: 0968-0160            Impact factor:   2.199


  3 in total

1.  The frequency of assessment tools in arthroscopic training: a systematic review.

Authors:  Haixia Zhou; Chengyao Xian; Kai-Jun Zhang; Zhouwen Yang; Wei Li; Jing Tian
Journal:  Ann Med       Date:  2022-12       Impact factor: 5.348

2.  Predictors of Performance on the Arthrobox Arthroscopy Simulator for Medical Students.

Authors:  Bradley P Richey; Matthew Jordan Deal; Alexandra Baker; Eric M Mason; Ibrahim Mamdouh Zeini; Daryl Christopher Osbahr; Benjamin C Service
Journal:  Arthrosc Sports Med Rehabil       Date:  2020-10-23

3.  Analysis of Tools Used in Assessing Technical Skills and Operative Competence in Trauma and Orthopaedic Surgical Training: A Systematic Review.

Authors:  Hannah K James; Anna W Chapman; Giles T R Pattison; Joanne D Fisher; Damian R Griffin
Journal:  JBJS Rev       Date:  2020-06
  3 in total

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