Literature DB >> 18063281

Documenting a learning curve and test-retest reliability of two tasks on a virtual reality training simulator in laparoscopic surgery.

Nancy J Hogle1, William M Briggs, Dennis L Fowler.   

Abstract

BACKGROUND: Virtual reality simulators are a component of the armamentarium for training surgical residents. No one knows exactly how to incorporate virtual reality simulators into a curriculum. The purpose of this study was to document and show the learning curve and test-retest reliability of 2 tasks on a virtual reality-training simulator (LapSim; Surgical Science, Göteborg, Sweden) in laparoscopic surgery.
METHODS: Twenty-nine medical students participated in 8 iterations of 7 virtual reality tasks ("camera navigation" (CN), "instrument navigation," "coordination," "grasping," "lifting and grasping" (LG), "cutting," and "clip applying") Learning curves for each outcome variable of the CN and LG tasks were generated. Using ANOVA, we evaluated the differences between each score from attempt number 7 to attempt number 8 to document test-retest reliability.
RESULTS: A plateau in the learning curve occurred within 8 sessions for CN misses, CN tissue damage, CN maximum damage, and LG maximum damage. Over the course of 8 sessions, a plateau in the learning curve was nearly reached for CN time, CN drift, CN path, CN angular path, and LG left and right path. The following variables had a downward trend to the mean learning curve over 8 sessions, but they did not reach a plateau: LG time, LG left and right miss, LG left and right angular path, and LG tissue damage.
CONCLUSION: Using the LapSim virtual reality simulator, we documented a learning curve and test-retest reliability for each outcome variable for CN and LG for rank novices. The modeling of the general learning curve is useful in designing training program. These results may be important in developing standards for technical evaluation in a surgical training curriculum.

Mesh:

Year:  2007        PMID: 18063281     DOI: 10.1016/j.jsurg.2007.08.007

Source DB:  PubMed          Journal:  J Surg Educ        ISSN: 1878-7452            Impact factor:   2.891


  10 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

Review 2.  The LapSim virtual reality simulator: promising but not yet proven.

Authors:  Katherine Fairhurst; Andrew Strickland; Guy Maddern
Journal:  Surg Endosc       Date:  2010-07-08       Impact factor: 4.584

3.  Do soft skills predict surgical performance?: a single-center randomized controlled trial evaluating predictors of skill acquisition in virtual reality laparoscopy.

Authors:  K Maschuw; K Schlosser; E Kupietz; E P Slater; P Weyers; I Hassan
Journal:  World J Surg       Date:  2011-03       Impact factor: 3.352

4.  Enabling, implementing, and validating training methods in laparoscopic surgery.

Authors:  Dennis L Fowler
Journal:  World J Surg       Date:  2010-04       Impact factor: 3.352

5.  Prospective randomized controlled trial of simulator-based versus traditional in-surgery laparoscopic camera navigation training.

Authors:  Florian M Franzeck; Rachel Rosenthal; Markus K Muller; Antonio Nocito; Frauke Wittich; Christine Maurus; Daniel Dindo; Pierre-Alain Clavien; Dieter Hahnloser
Journal:  Surg Endosc       Date:  2011-08-19       Impact factor: 4.584

Review 6.  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

7.  Learning rate of students detecting and annotating pediatric wrist fractures in supervised artificial intelligence dataset preparations.

Authors:  Eszter Nagy; Robert Marterer; Franko Hržić; Erich Sorantin; Sebastian Tschauner
Journal:  PLoS One       Date:  2022-10-20       Impact factor: 3.752

8.  Using virtual reality simulation to assess competence in video-assisted thoracoscopic surgery (VATS) lobectomy.

Authors:  Katrine Jensen; Flemming Bjerrum; Henrik Jessen Hansen; René Horsleben Petersen; Jesper Holst Pedersen; Lars Konge
Journal:  Surg Endosc       Date:  2016-09-21       Impact factor: 4.584

9.  Learning curves and long-term outcome of simulation-based thoracentesis training for medical students.

Authors:  Guanchao Jiang; Hong Chen; Shan Wang; Qinghuan Zhou; Xiao Li; Kezhong Chen; Xizhao Sui
Journal:  BMC Med Educ       Date:  2011-06-22       Impact factor: 2.463

10.  Structuralized box-trainer laparoscopic training significantly improves performance in complex virtual reality laparoscopic tasks.

Authors:  Dariusz Laski; Tomasz J Stefaniak; Wojciech Makarewicz; Monika Proczko; Zbigniew Gruca; Zbigniew Sledziński
Journal:  Wideochir Inne Tech Maloinwazyjne       Date:  2011-11-10       Impact factor: 1.195

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.