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Simulator Fidelity Does Not Affect Training for Robot-Assisted Minimally Invasive Surgery

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 simul...

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Detalles Bibliográficos
Autores principales: Saito, Shin, Endo, Kazuhiro, Sakuma, Yasunaru, Sata, Naohiro, Lefor, Alan Kawarai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10095363/
https://www.ncbi.nlm.nih.gov/pubmed/37048640
http://dx.doi.org/10.3390/jcm12072557
Descripción
Sumario: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.