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2005 SAGES Abstracts

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POSTER ABSTRACTS<br />

tumor.<br />

Discussion:<br />

Gastrointestinal stromal tumors represent a considerable part<br />

of small bowel tumors. Total resection of the tumor with clean<br />

surgical margins is adequate surgical treatment. This procedure<br />

can be performed with laparoscopic assistance,and may<br />

be an alternative to its open counterpart .<br />

P146–Education/Outcomes<br />

TASK DECONSTRUCTION FOR TRAINING ON A LAPARO-<br />

SCOPIC VIRTUAL REALITY SIMULATOR, R Aggarwal MD, J<br />

Hance MD,S Saso,A Tully,A Darzi MD, Department of Surgical<br />

Oncology & Technology, Imperial College London, UK.<br />

Introduction: Virtual reality simulation has been shown to be<br />

beneficial for training in basic and advanced laparoscopic<br />

skills. One of the proposed benefits of training on a VR simulator<br />

is the ability to deconstruct a procedure into a series of<br />

component tasks and skills. This study aims to establish the<br />

level of deconstruction that delivers the optimal task-based<br />

approach to achieve proficiency in laparoscopic suturing.<br />

Methods: 30 laparoscopic novices trained on a laparoscopic<br />

VR simulator (MIST-VR) in a stepwise approach commencing<br />

with a previously validated basic skills curriculum. They were<br />

then randomised into three groups to train over five half-hour<br />

sessions on the VR laparoscopic suturing module of MIST-VR.<br />

The simulator breaks down training into a series of 12 tasks,<br />

the last two enabling practice at performing a complete<br />

laparoscopic suture. Group A performed all 10 constituent<br />

tasks, Group B the three most complex constituent tasks, and<br />

Group C practiced laparoscopic suturing without task breakdown.<br />

Assessments of laparoscopic suturing skill were carried<br />

out at the beginning and end of each subject’s training period,<br />

using a synthetic bowel model placed in a video trainer. Each<br />

subject’s performance was scored objectively using a validated<br />

motion analysis system, together with blinded checklist scoring<br />

of videos of each procedure. Data analysis used non-parametric<br />

tests, p

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