Literature DB >> 24700686

Virtual reality training and assessment in laparoscopic rectum surgery.

Jun J Pan1, Jian Chang2, Xiaosong Yang2, Hui Liang3, Jian J Zhang2, Tahseen Qureshi4, Robert Howell5, Tamas Hickish5.   

Abstract

BACKGROUND: Virtual-reality (VR) based simulation techniques offer an efficient and low cost alternative to conventional surgery training. This article describes a VR training and assessment system in laparoscopic rectum surgery.
METHODS: To give a realistic visual performance of interaction between membrane tissue and surgery tools, a generalized cylinder based collision detection and a multi-layer mass-spring model are presented. A dynamic assessment model is also designed for hierarchy training evaluation.
RESULTS: With this simulator, trainees can operate on the virtual rectum with both visual and haptic sensation feedback simultaneously. The system also offers surgeons instructions in real time when improper manipulation happens. The simulator has been tested and evaluated by ten subjects.
CONCLUSIONS: This prototype system has been verified by colorectal surgeons through a pilot study. They believe the visual performance and the tactile feedback are realistic. It exhibits the potential to effectively improve the surgical skills of trainee surgeons and significantly shorten their learning curve.
Copyright © 2014 John Wiley & Sons, Ltd.

Keywords:  collision detection; dissection simulation; dynamic assessment; evaluation; laparoscopic rectum surgery

Mesh:

Year:  2014        PMID: 24700686     DOI: 10.1002/rcs.1582

Source DB:  PubMed          Journal:  Int J Med Robot        ISSN: 1478-5951            Impact factor:   2.547


  3 in total

Review 1.  What to consider when designing a laparoscopic colorectal training curriculum: a review of the literature.

Authors:  A Gaitanidis; C Simopoulos; M Pitiakoudis
Journal:  Tech Coloproctol       Date:  2018-03-06       Impact factor: 3.781

Review 2.  Prevalence of haptic feedback in robot-mediated surgery: a systematic review of literature.

Authors:  Farshid Amirabdollahian; Salvatore Livatino; Behrad Vahedi; Radhika Gudipati; Patrick Sheen; Shan Gawrie-Mohan; Nikhil Vasdev
Journal:  J Robot Surg       Date:  2017-12-01

3.  Graphic and haptic simulation for transvaginal cholecystectomy training in NOTES.

Authors:  Jun J Pan; Woojin Ahn; Saurabh Dargar; Tansel Halic; Bai C Li; Ganesh Sankaranarayanan; Kurt Roberts; Steven Schwaitzberg; Suvranu De
Journal:  J Biomed Inform       Date:  2016-03-12       Impact factor: 6.317

  3 in total

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