CC BY-NC-ND 4.0 · Endosc Int Open 2019; 07(01): E9-E14
DOI: 10.1055/a-0774-4554
Original article
Owner and Copyright © Georg Thieme Verlag KG 2019

Assessment of technical parameters and skills training to inform a simulation-based training program for semi-automated robotic colonoscopy

Maja Kopczynska
1   Cardiff University School of Medicine, Cardiff, Wales
,
Stephanie Smits
1   Cardiff University School of Medicine, Cardiff, Wales
,
Rebecca Hopps
4   Cardiff and Vale University Health Board, Penarth, Cardiff, Wales
,
Rajeswari Ramaraj
1   Cardiff University School of Medicine, Cardiff, Wales
,
Neil Warren
2   Welsh Institute for Minimal Access Therapy (WIMAT), Cardiff University, Cardiff, Wales
,
Stuart Goddard
2   Welsh Institute for Minimal Access Therapy (WIMAT), Cardiff University, Cardiff, Wales
,
Xujiong Ye
3   University of Lincoln, School of Computer Science, London, UK
,
Sunil Dolwani
1   Cardiff University School of Medicine, Cardiff, Wales
› Author Affiliations
Further Information

Publication History

submitted 09 February 2018

accepted after revision 25 April 2018

Publication Date:
03 January 2019 (online)

Abstract

Background and study aims Video-colonoscopy, despite being the gold-standard for diagnosis of colorectal lesions, has limitations including patient discomfort and risk of complications. This study assessed training characteristics and acceptability in operators of a new robotic colonoscope (RC).

Materials and methods Participants (n = 9) with varying degrees of skill and background knowledge in colonoscopy performed colonoscopies with a RC on a simulation-based training model. Quantitative procedure-related and qualitative operator-related parameters were recorded.

Results Polyp detection rate was highest in the novice group (91.67 %) followed by experts (86.11 %), then equally, trainees and video gamers (79.17 %). Four participants repeated the procedure at a follow-up session. Each participant improved cecal intubation time and had the same or higher polyp detection rate. The potential role for RC was identified for an out-of-hospital environment and as a novel diagnostic tool.

Conclusions Results from this pilot suggest that operators at all skill levels found the RC acceptable and potentially useful as a diagnostic tool. Acquisition of skills with RC seems to improve rapidly to a clinically relevant level with simulation-based training

 
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