Literature DB >> 29054720

A Randomized Comparison of 2 Robotic Virtual Reality Simulators and Evaluation of Trainees' Skills Transfer to a Simulated Robotic Urethrovesical Anastomosis Task.

Jen Hoogenes1, Nathan Wong2, Badr Al-Harbi2, Kevin S Kim2, Saahil Vij2, Elisa Bolognone2, Mackenzie Quantz3, Yanbo Guo2, Bobby Shayegan2, Edward D Matsumoto2.   

Abstract

OBJECTIVE: To determine, via a randomized comparison study, whether robotic simulator-acquired skills transfer to performance of a urethrovesical anastomosis (UVA) on a 3-dimensional-printed bladder model using the da Vinci Robot.
MATERIALS AND METHODS: Medical students, surgical residents, and fellows were recruited and divided into 2 groups: Group 1 (G1) (junior trainees) and Group 2 (G2) (senior trainees). Participants were randomized to identical simulator training curricula on the dV-Trainer (dV-T) or da Vinci Surgical Skills Simulator (dVSSS). Participants then completed a UVA task on a 3-dimensional-printed bladder model using the da Vinci robot. Three blinded expert robotic surgeons rated videotaped performances of the UVA task using validated assessment tools, namely, the Global Evaluative Assessment of Robotic Skills (GEARS; overall procedure) and Robotic Anastomosis Competence Evaluation (RACE; specific to UVA).
RESULTS: Thirty-nine participants (G1 = 23 and G2 = 16) completed the study. Participants in G2 had significantly more simulation and surgical experience compared with G1 (P <.05). UVA scores of the dVSSS group were higher compared with dV-T (GEARS: P = .09; RACE: P = .01). In the G1 cohort, dVSSS scores were significantly higher than dV-T (GEARS: P = .01; RACE: P <.01). In the G2 cohort, scores were statistically similar (GEARS: P = .32; RACE: P = .91).
CONCLUSION: Compared with the dV-T, the dVSSS training led to superior GEARS and RACE scores for performance of the UVA task in junior trainees, but not in senior trainees. The dVSSS can be used to improve surgical skills acquisition in less experienced trainees in a safe and effective manner.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 29054720     DOI: 10.1016/j.urology.2017.09.023

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  3 in total

Review 1.  Novel Education and Simulation Tools in Urologic Training.

Authors:  Brandon S Childs; Marc D Manganiello; Ruslan Korets
Journal:  Curr Urol Rep       Date:  2019-11-28       Impact factor: 3.092

2.  COVID 19 and Surgical Education: Time for Innovations.

Authors:  Nikhil Gupta; Himanshu Agrawal
Journal:  Indian J Surg       Date:  2020-06-01       Impact factor: 0.656

Review 3.  Robotic lobectomy: how to teach thoracic residents.

Authors:  Ricardo Mingarini Terra; Pedro Henrique Cunha Leite; Alberto Jorge Monteiro Dela Vega
Journal:  J Thorac Dis       Date:  2021-08       Impact factor: 3.005

  3 in total

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