Literature DB >> 20437345

The SEP "robot": a valid virtual reality robotic simulator for the Da Vinci Surgical System?

O A J van der Meijden1, I A M J Broeders, M P Schijven.   

Abstract

The aim of the study was to determine if the concept of face and construct validity may apply to the SurgicalSim Educational Platform (SEP) "robot" simulator. The SEP robot simulator is a virtual reality (VR) simulator aiming to train users on the Da Vinci Surgical System. To determine the SEP's face validity, two questionnaires were constructed. First, a questionnaire was sent to users of the Da Vinci system (reference group) to determine a focused user-group opinion and their recommendations concerning VR-based training applications for robotic surgery. Next, clinical specialists were requested to complete a pre-tested face validity questionnaire after performing a suturing task on the SEP robot simulator. To determine the SEP's construct validity, outcome parameters of the suturing task were compared, for example, relative to participants' endoscopic experience. Correlations between endoscopic experience and outcome parameters of the performed suturing task were tested for significance. On an ordinal five-point, scale the average score for the quality of the simulator software was 3.4; for its hardware, 3.0. Over 80% agreed that it is important to train surgeons and surgical trainees to use the Da Vinci. There was a significant but marginal difference in tool tip trajectory (p = 0.050) and a nonsignificant difference in total procedure time (p = 0.138) in favor of the experienced group. In conclusion, the results of this study reflect a uniform positive opinion using VR training in robotic surgery. Concepts of face and construct validity of the SEP robotic simulator are present; however, these are not strong and need to be improved before implementation of the SEP robotic simulator in its present state for a validated training curriculum to be successful .

Entities:  

Mesh:

Year:  2010        PMID: 20437345

Source DB:  PubMed          Journal:  Surg Technol Int        ISSN: 1090-3941


  7 in total

Review 1.  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

2.  External validation of Global Evaluative Assessment of Robotic Skills (GEARS).

Authors:  Monty A Aghazadeh; Isuru S Jayaratna; Andrew J Hung; Michael M Pan; Mihir M Desai; Inderbir S Gill; Alvin C Goh
Journal:  Surg Endosc       Date:  2015-01-22       Impact factor: 4.584

Review 3.  Simulation-based training and assessment in urological surgery.

Authors:  Abdullatif Aydin; Nicholas Raison; Muhammad Shamim Khan; Prokar Dasgupta; Kamran Ahmed
Journal:  Nat Rev Urol       Date:  2016-08-23       Impact factor: 14.432

4.  Virtual reality suturing task as an objective test for robotic experience assessment.

Authors:  Michael A Liss; Christopher J Kane; Tony Chen; Joel Baumgartner; Ithaar H Derweesh
Journal:  BMC Urol       Date:  2015-07-03       Impact factor: 2.264

5.  Validation of a novel virtual reality simulator for robotic surgery.

Authors:  Henk W R Schreuder; Jan E U Persson; Richard G H Wolswijk; Ingmar Ihse; Marlies P Schijven; René H M Verheijen
Journal:  ScientificWorldJournal       Date:  2014-01-30

Review 6.  How valid are commercially available medical simulators?

Authors:  Jj Stunt; Ph Wulms; Gm Kerkhoffs; J Dankelman; Cn van Dijk; Gjm Tuijthof
Journal:  Adv Med Educ Pract       Date:  2014-10-14

7.  A Human Gesture Mapping Method to Control a Multi-Functional Hand for Robot-Assisted Laparoscopic Surgery: The MUSHA Case.

Authors:  Fanny Ficuciello; Alberto Villani; Tommaso Lisini Baldi; Domenico Prattichizzo
Journal:  Front Robot AI       Date:  2021-12-10
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.