Literature DB >> 22733194

Analysis of eye gaze: do novice surgeons look at the same location as expert surgeons during a laparoscopic operation?

Rana S A Khan1, Geoffrey Tien, M Stella Atkins, Bin Zheng, Ormond N M Panton, Adam T Meneghetti.   

Abstract

INTRODUCTION: Eye-gaze technology can be used to track the gaze of surgeons on the surgical monitor. We examine the gaze of surgeons performing a task in the operating room and later watching the operative video in a lab. We also examined gaze of video watching by surgical residents.
METHODS: Data collection required two phases. Phase 1 involved recording the real-time eye gaze of expert surgeons while they were performing laparoscopic procedures in the operating room. The videos were used for phase 2. Phase 2 involved showing the recorded videos to the same expert surgeons, and while they were watching the videos (self-watching), their eye gaze was recorded. Junior residents (PGY 1-3) also were asked to watch the videos (other-watching) and their eye gaze was recorded. Dual eye-gaze similarity in self-watching was computed by the level of gaze overlay and compared with other-watching.
RESULTS: Sixteen cases of laparoscopic cholecystectomy were recorded in the operating room. When experts watched the videos, there was a 55% overlap of eye gaze; yet when novices watched, only a 43.8% overlap (p < 0.001) was shown.
CONCLUSIONS: These findings show that there is a significant difference in gaze patterns between novice and expert surgeons while watching surgical videos. Expert gaze recording from the operating room can be used to make teaching videos for gaze training to expedite learning curves of novice surgeons.

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Year:  2012        PMID: 22733194     DOI: 10.1007/s00464-012-2400-7

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


  7 in total

1.  The roles of vision and eye movements in the control of activities of daily living.

Authors:  M Land; N Mennie; J Rusted
Journal:  Perception       Date:  1999       Impact factor: 1.490

2.  The use of visual search for knowledge gathering in image decision support.

Authors:  Laura Dempere-Marco; Xiao-Peng Hu; Sharyn L S MacDonald; Stephen M Ellis; David M Hansell; Guang-Zhong Yang
Journal:  IEEE Trans Med Imaging       Date:  2002-07       Impact factor: 10.048

3.  Eye metrics as an objective assessment of surgical skill.

Authors:  Lee Richstone; Michael J Schwartz; Casey Seideman; Jeffrey Cadeddu; Sandra Marshall; Louis R Kavoussi
Journal:  Ann Surg       Date:  2010-07       Impact factor: 12.969

4.  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

5.  Objective structured assessment of technical skill (OSATS) for surgical residents.

Authors:  J A Martin; G Regehr; R Reznick; H MacRae; J Murnaghan; C Hutchison; M Brown
Journal:  Br J Surg       Date:  1997-02       Impact factor: 6.939

6.  Psychomotor control in a virtual laparoscopic surgery training environment: gaze control parameters differentiate novices from experts.

Authors:  Mark Wilson; John McGrath; Samuel Vine; James Brewer; David Defriend; Richard Masters
Journal:  Surg Endosc       Date:  2010-03-24       Impact factor: 4.584

7.  Gaze training enhances laparoscopic technical skill acquisition and multi-tasking performance: a randomized, controlled study.

Authors:  Mark R Wilson; Samuel J Vine; Elizabeth Bright; Rich S W Masters; David Defriend; John S McGrath
Journal:  Surg Endosc       Date:  2011-06-14       Impact factor: 4.584

  7 in total
  13 in total

1.  Looks can be deceiving: Gaze pattern differences between novices and experts during placement of central lines.

Authors:  Hong-En Chen; Cheyenne C Sonntag; David F Pepley; Rohan S Prabhu; David C Han; Jason Z Moore; Scarlett R Miller
Journal:  Am J Surg       Date:  2018-11-13       Impact factor: 2.565

2.  Taxonomy of instructions given to residents in laparoscopic cholecystectomy.

Authors:  Yuanyuan Feng; Christopher Wong; Adrian Park; Helena Mentis
Journal:  Surg Endosc       Date:  2015-07-22       Impact factor: 4.584

3.  Eye tracking in surgical education: gaze-based dynamic area of interest can discriminate adverse events and expertise.

Authors:  Eric Fichtel; Nathan Lau; Juyeon Park; Sarah Henrickson Parker; Siddarth Ponnala; Shimae Fitzgibbons; Shawn D Safford
Journal:  Surg Endosc       Date:  2018-10-19       Impact factor: 4.584

4.  Assessing visual control during simulated and live operations: gathering evidence for the content validity of simulation using eye movement metrics.

Authors:  Samuel J Vine; John S McGrath; Elizabeth Bright; Thomas Dutton; James Clark; Mark R Wilson
Journal:  Surg Endosc       Date:  2014-01-11       Impact factor: 4.584

5.  Analyzing the Eye Gaze Behaviour of Students and Experienced Physiotherapists during Observational Movement Analysis.

Authors:  Kiera McDuff; Amanda Benaim; Mark Wong; Andrea Burley; Payal Gandhi; Aaron Wallace; Dina Brooks; Julie Vaughan-Graham; Kara K Patterson
Journal:  Physiother Can       Date:  2021       Impact factor: 1.037

6.  Novice and Expert Anesthesiologists' Eye-Tracking Metrics During Simulated Epidural Block: A Preliminary, Brief Observational Report.

Authors:  Emanuele Capogna; Francesco Salvi; Lorena Delvino; Andrea Di Giacinto; Matteo Velardo
Journal:  Local Reg Anesth       Date:  2020-08-21

Review 7.  Computer Vision in the Surgical Operating Room.

Authors:  François Chadebecq; Francisco Vasconcelos; Evangelos Mazomenos; Danail Stoyanov
Journal:  Visc Med       Date:  2020-10-15

8.  Eye tracking in catheter-based cardiovascular interventions: early results.

Authors:  Peter Lanzer; Mohammad Al-Naser; Syed Saqib Bukhari; Andreas Dengel; Elizabeth A Krupinski
Journal:  J Med Imaging (Bellingham)       Date:  2017-08-04

9.  The Application of a System of Eye Tracking in Laparoscopic Surgery: A New Didactic Tool to Visual Instructions.

Authors:  Ester Marín-Conesa; Francisco Sánchez-Ferrer; María Dolores Grima-Murcia; María Luisa Sánchez-Ferrer
Journal:  Front Surg       Date:  2021-06-09

10.  Eye-Tracking Metrics Predict Perceived Workload in Robotic Surgical Skills Training.

Authors:  Chuhao Wu; Jackie Cha; Jay Sulek; Tian Zhou; Chandru P Sundaram; Juan Wachs; Denny Yu
Journal:  Hum Factors       Date:  2019-09-27       Impact factor: 2.888

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