Concurrent and predictive validation of robotic simulator tube 3 module

Jae Yoon Kim, Seung Bin Kim, Jong Hyun Pyun, Hyung Keun Kim, Seok Cho, Jeong Gu Lee, Je Jong Kim, Jun Cheon, Seok Ho Kang, Sung Gu Kang

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Purpose: We previously described a new procedure specific module (Tube 3) to allow the practice of vesicourethral anastomosis after robot-assisted radical prostatectomy. Herein, we report a predetermined proficiency level of Tube 3 and preliminary validation to explore whether this new module can lead to performance improvement in the da Vinci system. Materials and Methods: Eight urology residents and three urology fellows performed the Tube 3 module 1 hour daily for 7 days. The learning curve was depicted through a scatterplot and the stable point was identified through the cumulative sum chart. Concurrent and predictive validations were performed with the da Vinci system. The mean time to complete the task and end product rating score between Tube 3 training group and no Tube 3 training group were compared. Results: Concerning the learning curve, about 41 repetitions comprising about 5 hours were needed to achieve this stable point when the mean time to complete Tube of 384 seconds was set as a target. With regarding to the concurrent and predictive validation, there significant differences were evident in the mean time to complete 16 needle passages and the vesicourethral anastomosis and the end product rating score. Conclusions: The virtual reality (VR) simulator can yield sufficient improvement in technical performance in Tube 3 within 5 hours. The acquired proficiency can be transferable to the vesicourethral anastomosis using the da Vinci system.

Original languageEnglish
Pages (from-to)756-761
Number of pages6
JournalKorean Journal of Urology
Volume56
Issue number11
DOIs
Publication statusPublished - 2015 Nov

Keywords

  • Computer simulation
  • Learning curve
  • Robotics

ASJC Scopus subject areas

  • Urology

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