Literature DB >> 20299081

Face validation of a novel robotic surgical simulator.

Stéfanie A Seixas-Mikelus1, Thenkurussi Kesavadas, Govindarajan Srimathveeravalli, Rameela Chandrasekhar, Gregory E Wilding, Khurshid A Guru.   

Abstract

OBJECTIVES: To assess the face validity of Robotic Surgery Simulator (RoSS), a novel virtual reality training platform for the da Vinci Surgical System (DVSS).
METHODS: Urologic surgeons, fellows, and residents attending the 2009 American Urologic Association Annual Meeting in April 2009 were invited to an orientation session with RoSS. Participants completed a questionnaire after orientation and two modules.
RESULTS: Thirty participants including 24 surgeons and fellows experienced with robotic surgery and 6 robotic surgery novices participated in the study. Eighty percent participants had at least 4 years of experience with robotic surgery and 77% had performed an average of 340 cases on the DVSS as primary console surgeons. Subjects indicated that RoSS was realistically close to the DVSS console in terms of virtual simulation and instrumentation. Fifty-two percent of subjects rated RoSS somewhat close and 45% rated RoSS very close to the DVSS console. Thirty-seven percent rated RoSS pinch device somewhat close, and 47% very close to the DVSS. With regard to movement of the arms, 43% rated it somewhat close, 40% rated it very close, and 7% felt that it was just like the DVSS. Camera movement and clutch functions were rated not close (11%), somewhat close (57%), and very close (32%) to the DVSS. Data were further analyzed in terms of surgical volume. Thirty-eight percent of subjects had also tried the Mimic dV-Trainer robotic surgery simulator.
CONCLUSIONS: RoSS provides opportunity for robot-assisted surgical training for future error-free surgery. Further validation will be necessary to assess RoSS and the application of specific modules for robot-assisted surgical training. Copyright 2010. Published by Elsevier Inc.

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Year:  2010        PMID: 20299081     DOI: 10.1016/j.urology.2009.11.069

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


  27 in total

1.  The virtual reality simulator dV-Trainer(®) is a valid assessment tool for robotic surgical skills.

Authors:  Cyril Perrenot; Manuela Perez; Nguyen Tran; Jean-Philippe Jehl; Jacques Felblinger; Laurent Bresler; Jacques Hubert
Journal:  Surg Endosc       Date:  2012-04-05       Impact factor: 4.584

2.  Robotic surgery simulation validity and usability comparative analysis.

Authors:  Alyssa Tanaka; Courtney Graddy; Khara Simpson; Manuela Perez; Mireille Truong; Roger Smith
Journal:  Surg Endosc       Date:  2015-11-18       Impact factor: 4.584

Review 3.  Current state of virtual reality simulation in robotic surgery training: a review.

Authors:  Justin D Bric; Derek C Lumbard; Matthew J Frelich; Jon C Gould
Journal:  Surg Endosc       Date:  2015-08-25       Impact factor: 4.584

4.  Simulation in surgical education.

Authors:  Sandra L de Montbrun; Helen Macrae
Journal:  Clin Colon Rectal Surg       Date:  2012-09

Review 5.  Simulation-based training in robot-assisted surgery: current evidence of value and potential trends for the future.

Authors:  Michael I Hanzly; Tareq Al-Tartir; Syed Johar Raza; Atif Khan; Mohammad Manan Durrani; Thomas Fiorica; Phillip Ginsberg; James L Mohler; Boris Kuvshinoff; Khurshid A Guru
Journal:  Curr Urol Rep       Date:  2015-06       Impact factor: 3.092

6.  Operator experience determines performance in a simulated computer-based brain tumor resection task.

Authors:  Terrell Holloway; Zachary S Lorsch; Michael A Chary; Stanislaw Sobotka; Maximillian M Moore; Anthony B Costa; Rolando F Del Maestro; Joshua Bederson
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-03-26       Impact factor: 2.924

7.  Design methodology for a simulator of a robotic surgical system.

Authors:  Danielle L Julian; Roger D Smith; Alyssa D S Tanaka; Ariel Dubin
Journal:  J Robot Surg       Date:  2018-11-30

Review 8.  Learning tools and simulation in robotic surgery: state of the art.

Authors:  Nicolas C Buchs; François Pugin; Francesco Volonté; Philippe Morel
Journal:  World J Surg       Date:  2013-12       Impact factor: 3.352

9.  Comparative analysis of the functionality of simulators of the da Vinci surgical robot.

Authors:  Roger Smith; Mireille Truong; Manuela Perez
Journal:  Surg Endosc       Date:  2014-08-15       Impact factor: 4.584

Review 10.  Da Vinci© Skills Simulator™: is an early selection of talented console surgeons possible?

Authors:  Mark Meier; Kevin Horton; Hubert John
Journal:  J Robot Surg       Date:  2016-06-22
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