Colonoscopy Training on Virtual-Reality Simulators or Physical Model Simulators: A Randomized Controlled Trial.

Colonoscopy Training on Virtual-Reality Simulators or Physical Model Simulators: A Randomized Controlled Trial.

Mu, Yifei;Yang, Xinyi;Guo, Feng;Ye, Guangyao;Lu, Yihong;Zhang, Yan;Xue, Wei;Bian, Zhengqian;
Journal of surgical education 2024 Vol. 81 pp. 1339-1345
44
mu2024colonoscopyjournal

Abstract

This study employed a randomized controlled trial to assess the efficacy of virtual-reality (VR) simulators and physical model simulators on colonoscopy training to explore the optimal and evidence-based simulation training.Forty participants were divided into 2 groups and randomized as dyads: the VR simulator group and the physical model simulator group. All the participants performed a baseline test through porcine colonoscopy. After a 6 h simulation training, each participant underwent a post-test on a pig after bowel preparation, and the procedures were video-recorded. Both the baseline test and the post-test were blindly assessed by 2 experienced assistant director physicians based on the GAGES-C scoring system.Simulation center, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai.Forty surgical residents without colonoscopy experience.Both the VR simulator group and the physical model simulator group improved significantly over the baseline test. The VR simulator group performed significantly better than the physical model simulator group, p=0.042. The participants in both groups expressed a high level of simulator satisfaction.Novice residents can benefit from both VR simulators and physical model simulators. The VR simulator was shown to be more effective for colonoscopy training. VR simulators were more recommended for novices conducting basic colonoscopy training.

Citation

ID: 280627
Ref Key: mu2024colonoscopyjournal
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
280627
Unique Identifier:
10.1016/j.jsurg.2024.07.020
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet