Related Experiment Video
Updated: Aug 3, 2025

Simulator Training for Endovascular Neurosurgery
Published on: May 6, 2020
Simulator Fidelity Does Not Affect Training for Robot-Assisted Minimally Invasive Surgery
Shin Saito1, Kazuhiro Endo1, Yasunaru Sakuma1
1Department of Surgery, Jichi Medical University, Tochigi 329-0498, Japan.
Abstract:
This study was undertaken to compare performance using a surgical robot after training with one of three simulators of varying fidelity.
Methods:
Eight novice operators and eight expert surgeons were randomly assigned to one of three simulators. Each participant performed two exercises using a simulator and then using a surgical robot. The primary outcome of this study is performance assessed by time and GEARS score.
Results:
Participants were randomly assigned to one of three simulators. Time to perform the suturing exercise (novices vs. experts) was significantly different for all 3 simulators. Using the da Vinci robot, peg transfer showed no significant difference between novices and experts and all participants combined (mean time novice 2.00, expert 2.21, p = 0.920). The suture exercise had significant differences in each group and all participants combined (novice 3.54, expert 1.90, p = 0.001). ANOVA showed p-Values for suturing (novice 0.523, expert 0.123) and peg transfer (novice 0.742, expert 0.131) are not significantly different. GEARS scores were different (p < 0.05) for novices and experts.
Conclusion:
Training with simulators of varying fidelity result in similar performance using the da Vinci robot. A dry box simulator may be as effective as a virtual reality simulator for training. Further studies are needed to validate these results.

