Literature DB >> 24576509

Laparoscopic virtual reality simulator and box trainer in gynecology.

Ali Akdemir1, Fatih Sendağ2, Mehmet K Oztekin2.   

Abstract

OBJECTIVE: To investigate whether a virtual reality simulator (LapSim) and traditional box trainer are effective tools for the acquisition of basic laparoscopic skills, and whether the LapSim is superior to the box trainer in surgical education.
METHODS: In a study at Ege University School of Medicine, Izmir, Turkey, between September 2008 and March 2013, 40 first- and second-year residents were randomized to train via the LapSim or box trainer for 4 weeks, and 20 senior residents were allocated to a control group. All 3 groups performed laparoscopic bilateral tubal ligation. Video records of each operation were assessed via the general rating scale of the Objective Structured Assessment of Laparoscopic Salpingectomy and by operation time in seconds.
RESULTS: Compared with the control group, the LapSim and box trainer groups performed significantly better in total score (P<0.01 and P<0.01, respectively) and time (P=0.03 and P=0.01, respectively). There were no differences between the LapSim and box trainer groups.
CONCLUSION: Novice residents who trained on a LapSim or box trainer performed better live laparoscopies than residents who trained via standard clinical surgical education. Training with a virtual reality simulator or box trainer should be considered before actual laparoscopic procedures are carried out.
Copyright © 2014 International Federation of Gynecology and Obstetrics. Published by Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Box trainer; Education; LapSim; Laparoscopy; Surgical training; Virtual reality

Mesh:

Year:  2014        PMID: 24576509     DOI: 10.1016/j.ijgo.2013.10.018

Source DB:  PubMed          Journal:  Int J Gynaecol Obstet        ISSN: 0020-7292            Impact factor:   3.561


  8 in total

1.  Validation of the mobile serious game application Touch Surgery™ for cognitive training and assessment of laparoscopic cholecystectomy.

Authors:  Karl-Friedrich Kowalewski; Jonathan D Hendrie; Mona W Schmidt; Tanja Proctor; Sai Paul; Carly R Garrow; Hannes G Kenngott; Beat P Müller-Stich; Felix Nickel
Journal:  Surg Endosc       Date:  2017-03-09       Impact factor: 4.584

2.  Virtual reality training compared with apprenticeship training in laparoscopic surgery: a meta-analysis.

Authors:  M Portelli; S F Bianco; T Bezzina; J E Abela
Journal:  Ann R Coll Surg Engl       Date:  2020-08-21       Impact factor: 1.891

Review 3.  Training and assessment using the LapSim laparoscopic simulator: a scoping review of validity evidence.

Authors:  Conor Toale; Marie Morris; Dara O Kavanagh
Journal:  Surg Endosc       Date:  2022-09-19       Impact factor: 3.453

Review 4.  The Future in Standards of Care for Gynecologic Laparoscopic Surgery to Improve Training and Education.

Authors:  Vlad I Tica; Andrei A Tica; Rudy L De Wilde
Journal:  J Clin Med       Date:  2022-04-14       Impact factor: 4.964

5.  Effect of structural training on surgical outcomes of residents' first operative laparoscopy: a randomized controlled trial.

Authors:  Ewa Jokinen; Tomi S Mikkola; Päivi Härkki
Journal:  Surg Endosc       Date:  2019-01-17       Impact factor: 4.584

Review 6.  A systematic review of low-cost laparoscopic simulators.

Authors:  Mimi M Li; Joseph George
Journal:  Surg Endosc       Date:  2016-05-18       Impact factor: 4.584

7.  Is that realistic? The development of a realism assessment questionnaire and its application in appraising three simulators for a gynaecology procedure.

Authors:  Erin Wilson; David G Hewett; Brian C Jolly; Sarah Janssens; Michael M Beckmann
Journal:  Adv Simul (Lond)       Date:  2018-11-08

8.  Impact of Acoustic and Interactive Disruptive Factors during Robot-Assisted Surgery-A Virtual Surgical Training Model.

Authors:  Magret Krüger; Johannes Ackermann; Daniar Osmonov; Veronika Günther; Dirk Bauerschlag; Johannes Hensler; Jan-Hendrik Egberts; Sebastian Lippross; Georgios Gitas; Thomas Becker; Nicolai Maass; Klaus-Peter Jünemann; Ibrahim Alkatout
Journal:  Sensors (Basel)       Date:  2020-10-17       Impact factor: 3.576

  8 in total

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