Literature DB >> 15555611

Laparoscopic virtual reality training: are 30 repetitions enough?

William C Brunner1, James R Korndorffer, Rafael Sierra, Nader N Massarweh, J Bruce Dunne, C Lillian Yau, Daniel J Scott.   

Abstract

BACKGROUND: Current literature suggests that novices reach a plateau after two to seven trials when training on the MIST VR laparoscopic virtual reality system. We hypothesize that significant benefit may be gained through additional training.
MATERIALS AND METHODS: Second-year medical students (n = 12) voluntarily enrolled under an IRB-approved protocol for MIST VR training. All subjects completed pre- and posttraining questionnaires and performed 30 repetitions of 12 tasks. Performance data were automatically recorded for each trial. Learning curves for each task were generated by fitting spline curves to the mean overall scores for each repetition. Scores were assessed for plateaus by repeated measures, slope, and best score.
RESULTS: On average, subjects completed training in 7.1 h. (range, 5.9-9.2). Two to seven performance plateaus were identified for each of the 12 MIST VR tasks. Initial plateaus were found for all tasks by the 8th repetition; however, ultimate plateaus were not reached until 21-29 repetitions. Overall best score was reached between 20 and 30 repetitions and occurred beyond the ultimate plateau for 9 tasks.
CONCLUSIONS: These data indicate that a lengthy learning curve exists for novices and may be seen throughout 30 repetitions and possibly beyond. Performance plateaus may not reliably determine training endpoints. We conclude that a significant and variable amount of training may be required to achieve maximal benefit. Neither a predetermined training duration nor an arbitrary number of repetitions may be adequate to ensure laparoscopic proficiency following simulator training. Standards which define performance-based endpoints should be established.

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Year:  2004        PMID: 15555611     DOI: 10.1016/j.jss.2004.08.006

Source DB:  PubMed          Journal:  J Surg Res        ISSN: 0022-4804            Impact factor:   2.192


  20 in total

1.  Objective assessment of gynecologic laparoscopic skills using the LapSimGyn virtual reality simulator.

Authors:  C R Larsen; T Grantcharov; R Aggarwal; A Tully; J L Sørensen; T Dalsgaard; B Ottesen
Journal:  Surg Endosc       Date:  2006-07-03       Impact factor: 4.584

Review 2.  [Simulation of laparoscopic surgery--four years' experience at the Department of Surgery of the University Hospital Marburg].

Authors:  Iyad Hassan; Thomas Osei-Agymang; Daniela Radu; Berthold Gerdes; Matthias Rothmund; Emilio Domínguez Fernández
Journal:  Wien Klin Wochenschr       Date:  2008       Impact factor: 1.704

3.  Validation of laparoscopic surgical skills training outside the operating room: a long road.

Authors:  N J Hogle; L Chang; V E M Strong; A O U Welcome; M Sinaan; R Bailey; D L Fowler
Journal:  Surg Endosc       Date:  2009-03-05       Impact factor: 4.584

4.  Adaptation to a dynamic visual perspective in laparoscopy through training in the cutting task.

Authors:  Arturo Minor Martínez; José Luis Limón Aguilar; Ricardo Ordorica Flores; José Luis Ortiz Simón; Alejandro García Pérez
Journal:  Surg Endosc       Date:  2009-12-24       Impact factor: 4.584

5.  Incorporation of proficiency criteria for basic laparoscopic skills training: how does it work?

Authors:  E G G Verdaasdonk; J Dankelman; J F Lange; L P S Stassen
Journal:  Surg Endosc       Date:  2008-04-04       Impact factor: 4.584

6.  [Surgical training using simulator. Virtual reality].

Authors:  K Maschuw; I Hassan; D K Bartsch
Journal:  Chirurg       Date:  2010-01       Impact factor: 0.955

7.  Gynecological laparoscopy in residency training program: Dutch perspectives.

Authors:  W Kolkman; R Wolterbeek; F W Jansen
Journal:  Surg Endosc       Date:  2005-09-30       Impact factor: 4.584

8.  Impact of one-to-one tutoring on fundamentals of laparoscopic surgery (FLS) passing rate in a single center experience outside the United States: a randomized controlled trial.

Authors:  Federico Gheza; Paolo Raimondi; Leonardo Solaini; Federico Coccolini; Gian Luca Baiocchi; Nazario Portolani; Guido Alberto Massimo Tiberio
Journal:  Surg Endosc       Date:  2018-04-11       Impact factor: 4.584

Review 9.  Evolution of surgical skills training.

Authors:  Kurt-E Roberts; Robert-L Bell; Andrew-J Duffy
Journal:  World J Gastroenterol       Date:  2006-05-28       Impact factor: 5.742

10.  Knowledge transfer and retention of simulation-based learning for neurosurgical instruments: a randomised trial of perioperative nurses.

Authors:  David B Clarke; Alena I Galilee; Nelofar Kureshi; Murray Hong; Lynne Fenerty; Ryan C N D'Arcy
Journal:  BMJ Simul Technol Enhanc Learn       Date:  2020-09-01
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