Literature DB >> 22258302

Collaborative eye tracking: a potential training tool in laparoscopic surgery.

Andrew S A Chetwood1, Ka-Wai Kwok, Loi-Wah Sun, George P Mylonas, James Clark, Ara Darzi, Guang-Zhong Yang.   

Abstract

BACKGROUND: Eye-tracking technology has been shown to improve trainee performance in the aircraft industry, radiology, and surgery. The ability to track the point-of-regard of a supervisor and reflect this onto a subjects' laparoscopic screen to aid instruction of a simulated task is attractive, in particular when considering the multilingual make up of modern surgical teams and the development of collaborative surgical techniques. We tried to develop a bespoke interface to project a supervisors' point-of-regard onto a subjects' laparoscopic screen and to investigate whether using the supervisor's eye-gaze could be used as a tool to aid the identification of a target during a surgical-simulated task.
METHODS: We developed software to project a supervisors' point-of-regard onto a subjects' screen whilst undertaking surgically related laparoscopic tasks. Twenty-eight subjects with varying levels of operative experience and proficiency in English undertook a series of surgically minded laparoscopic tasks. Subjects were instructed with verbal queues (V), a cursor reflecting supervisor's eye-gaze (E), or both (VE). Performance metrics included time to complete tasks, eye-gaze latency, and number of errors.
RESULTS: Completion times and number of errors were significantly reduced when eye-gaze instruction was employed (VE, E). In addition, the time taken for the subject to correctly focus on the target (latency) was significantly reduced.
CONCLUSIONS: We have successfully demonstrated the effectiveness of a novel framework to enable a supervisor eye-gaze to be projected onto a trainee's laparoscopic screen. Furthermore, we have shown that utilizing eye-tracking technology to provide visual instruction improves completion times and reduces errors in a simulated environment. Although this technology requires significant development, the potential applications are wide-ranging.

Mesh:

Year:  2012        PMID: 22258302     DOI: 10.1007/s00464-011-2143-x

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


  11 in total

1.  Assessing laparoscopic manipulative skills.

Authors:  C D Smith; T M Farrell; S S McNatt; R E Metreveli
Journal:  Am J Surg       Date:  2001-06       Impact factor: 2.565

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Authors:  Jeffrey H Peters; Gerald M Fried; Lee L Swanstrom; Nathaniel J Soper; Lelan F Sillin; Bruce Schirmer; Kaaren Hoffman
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3.  Hand-eye coordination during sequential tasks.

Authors:  D H Ballard; M M Hayhoe; F Li; S D Whitehead
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1992-09-29       Impact factor: 6.237

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

Authors:  Lee Richstone; Michael J Schwartz; Casey Seideman; Jeffrey Cadeddu; Sandra Marshall; Louis R Kavoussi
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Authors:  S M Ellis; X Hu; L Dempere-Marco; G Z Yang; A U Wells; D M Hansell
Journal:  Eur J Radiol       Date:  2006-07-10       Impact factor: 3.528

6.  Validation of laparoscopic surgical skills training outside the operating room: a long road.

Authors:  N J Hogle; L Chang; V E M Strong; A O U Welcome; M Sinaan; R Bailey; D L Fowler
Journal:  Surg Endosc       Date:  2009-03-05       Impact factor: 4.584

7.  Gaze-contingent 3D control for focused energy ablation in robotic assisted surgery.

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8.  Computer-displayed eye position as a visual aid to pulmonary nodule interpretation.

Authors:  H L Kundel; C F Nodine; E A Krupinski
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9.  Eye gaze tracking for endoscopic camera positioning: an application of a hardware/software interface developed to automate Aesop.

Authors:  S M Ali; L A Reisner; B King; A Cao; G Auner; M Klein; A K Pandya
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Review 10.  Minimally invasive surgery.

Authors:  K H Fuchs
Journal:  Endoscopy       Date:  2002-02       Impact factor: 10.093

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  21 in total

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Review 2.  Emerging applications of eye-tracking technology in dermatology.

Authors:  Kevin K John; Jakob D Jensen; Andy J King; Manusheela Pokharel; Douglas Grossman
Journal:  J Dermatol Sci       Date:  2018-04-06       Impact factor: 4.563

3.  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
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4.  Sensor-based indicators of performance changes between sessions during robotic surgery training.

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5.  Eye tracking research: seen through the patient's eyes.

Authors:  Simon Erridge; Hajra Ashraf; James Dilley; Ara Darzi; Mikael H Sodergren
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6.  Auditory display as feedback for a novel eye-tracking system for sterile operating room interaction.

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7.  Collaborative gaze channelling for improved cooperation during robotic assisted surgery.

Authors:  Ka-Wai Kwok; Loi-Wah Sun; George P Mylonas; David R C James; Felipe Orihuela-Espina; Guang-Zhong Yang
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Review 8.  Application of Eye Tracking Technology in Aviation, Maritime, and Construction Industries: A Systematic Review.

Authors:  Daniel Martinez-Marquez; Sravan Pingali; Kriengsak Panuwatwanich; Rodney A Stewart; Sherif Mohamed
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9.  The Application of a System of Eye Tracking in Laparoscopic Surgery: A New Didactic Tool to Visual Instructions.

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Journal:  Front Surg       Date:  2021-06-09

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Authors:  Daniel R Leff; David R C James; Felipe Orihuela-Espina; Ka-Wai Kwok; Loi Wah Sun; George Mylonas; Thanos Athanasiou; Ara W Darzi; Guang-Zhong Yang
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