Literature DB >> 24138400

Virtual reality training improves da Vinci performance: a prospective trial.

Jae Sung Cho1, Koo Yong Hahn, Jung Myun Kwak, Jin Kim, Se Jin Baek, Jae Won Shin, Seon Hahn Kim.   

Abstract

INTRODUCTION: The DV-Trainer™ (a virtual reality [VR] simulator) (Mimic Technologies, Inc., Seattle, WA) is one of several different robotic surgical training methods. We designed a prospective study to determine whether VR training could improve da Vinci(®) Surgical System (Intuitive Surgical, Inc., Sunnyvale, CA) performance. SUBJECTS AND METHODS: Surgeons (n=12) were enrolled using a randomized protocol. Groups 1 (VR training) and 2 (control) participated in VR and da Vinci exercises. Participants' time and moving distance were combined to determine a composite score: VR index=1000/(time×moving distance). The da Vinci exercises included needle control and suturing. Procedure time and error were measured. A composite index (DV index) was computed and used to measure da Vinci competency. After the initial trial with both the VR and da Vinci exercises, only Group 1 was trained with the VR simulator following our institutional curriculum for 3 weeks. All members of both groups then participated in the second trial of the VR and da Vinci exercises and were scored in the same way as in the initial trial.
RESULTS: In the initial trial, there was no difference in the VR index (Group 1 versus Group 2, 8.9 ± 3.3 versus 9.4 ± 3.7; P=.832) and the DV index (Group 1 versus Group 2, 3.85 ± 0.73 versus 3.66 ± 0.65; P=.584) scores between the two groups. At the second time point, Group 1 showed increased VR index scores in comparison with Group 2 (19.3 ± 4.5 versus 9.7 ± 4.1, respectively; P=.001) and improved da Vinci performance skills as measured by the DV index (5.80 ± 1.13 versus 4.05 ± 1.03, respectively; P=.028) and by suturing time (7.1 ± 1.54 minutes versus 10.55 ± 1.93 minutes, respectively; P=.018).
CONCLUSIONS: We found that VR simulator training can improve da Vinci performance. VR practice can result in an early plateau in the learning curve for robotic practice under controlled circumstances.

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Year:  2013        PMID: 24138400     DOI: 10.1089/lap.2012.0396

Source DB:  PubMed          Journal:  J Laparoendosc Adv Surg Tech A        ISSN: 1092-6429            Impact factor:   1.878


  8 in total

Review 1.  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

2.  Retention of robot-assisted surgical skills in urological surgeons acquired using Mimic dV-Trainer.

Authors:  Jun Teishima; Minoru Hattori; Shogo Inoue; Kenichiro Ikeda; Keisuke Hieda; Shinya Ohara; Hiroyuki Egi; Hideki Ohdan; Akio Matsubara
Journal:  Can Urol Assoc J       Date:  2014-07       Impact factor: 1.862

3.  Using virtual reality to maintain surgical skills during periods of robotic surgery inactivity.

Authors:  Loredana M Guseila; Archana Saranathan; Eric L Jenison; Karen M Gil; John J Elias
Journal:  J Robot Surg       Date:  2014-04-29

4.  Retention of laparoscopic and robotic skills among medical students: a randomized controlled trial.

Authors:  Megan S Orlando; Lauren Thomaier; Melinda G Abernethy; Chi Chiung Grace Chen
Journal:  Surg Endosc       Date:  2017-01-11       Impact factor: 4.584

Review 5.  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

Review 6.  Role of Simulation-Based Training in Minimally Invasive and Robotic Colorectal Surgery.

Authors:  Sergio Eduardo Alonso Araujo; Rodrigo Oliva Perez; Sidney Klajner
Journal:  Clin Colon Rectal Surg       Date:  2021-03-29

7.  To social with social distance: a case study on a VR-enabled graduation celebration amidst the pandemic.

Authors:  Xinhao Xu
Journal:  Virtual Real       Date:  2022-04-17       Impact factor: 5.095

Review 8.  The current role of simulation in urological training.

Authors:  Ryan Preece
Journal:  Cent European J Urol       Date:  2015-03-27
  8 in total

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