Literature DB >> 31482354

Characterizing the learning curve of a virtual intracorporeal suturing simulator VBLaST-SS©.

Yaoyu Fu1, Lora Cavuoto2,3, Di Qi4, Karthikeyan Panneerselvam4, Venkata Sreekanth Arikatla5, Andinet Enquobahrie5, Suvranu De4, Steven D Schwaitzberg6.   

Abstract

BACKGROUND: The virtual basic laparoscopic skill trainer suturing simulator (VBLaST-SS©) was developed to simulate the intracorporeal suturing task in the FLS program. The purpose of this study was to evaluate the training effectiveness and participants' learning curves on the VBLaST-SS© and to assess whether the skills were retained after 2 weeks without training.
METHODS: Fourteen medical students participated in the study. Participants were randomly assigned to two training groups (7 per group): VBLaST-SS© or FLS, based on the modality of training. Participants practiced on their assigned system for one session (30 min or up to ten repetitions) a day, 5 days a week for three consecutive weeks. Their baseline, post-test, and retention (after 2 weeks) performance were also analyzed. Participants' performance scores were calculated based on the original FLS scoring system. The cumulative summation (CUSUM) method was used to evaluate learning. Two-way mixed factorial ANOVA was used to compare the effects of group, time point (baseline, post-test, and retention), and their interaction on performance.
RESULTS: Six out of seven participants in each group reached the predefined proficiency level after 7 days of training. Participants' performance improved significantly (p < 0.001) after training within their assigned group. The CUSUM learning curve shows that one participant in each group achieved 5% failure rate by the end of the training period. Twelve out of fourteen participants' CUSUM curves showed a negative trend toward achieving the 5% failure rate after further training.
CONCLUSION: The VBLaST-SS© is effective in training laparoscopic suturing skill. Participants' performance of intracorporeal suturing was significantly improved after training on both systems and was retained after 2 weeks of no training.

Entities:  

Keywords:  Cumulative summation (CUSUM); Intracorporeal suturing; Learning curve; Surgical training; Virtual reality

Mesh:

Year:  2019        PMID: 31482354      PMCID: PMC7051880          DOI: 10.1007/s00464-019-07081-6

Source DB:  PubMed          Journal:  Surg Endosc        ISSN: 0930-2794            Impact factor:   4.584


  41 in total

1.  Proving the value of simulation in laparoscopic surgery.

Authors:  Gerald M Fried; Liane S Feldman; Melina C Vassiliou; Shannon A Fraser; Donna Stanbridge; Gabriela Ghitulescu; Christopher G Andrew
Journal:  Ann Surg       Date:  2004-09       Impact factor: 12.969

2.  Initial laparoscopic basic skills training shortens the learning curve of laparoscopic suturing and is cost-effective.

Authors:  Dimitrios Stefanidis; William W Hope; James R Korndorffer; Sarah Markley; Daniel J Scott
Journal:  J Am Coll Surg       Date:  2010-04       Impact factor: 6.113

3.  Statistical evaluation of learning curve effects in surgical trials.

Authors:  Jonathan A Cook; Craig R Ramsay; Peter Fayers
Journal:  Clin Trials       Date:  2004       Impact factor: 2.486

4.  Limited feedback and video tutorials optimize learning and resource utilization during laparoscopic simulator training.

Authors:  Dimitrios Stefanidis; James R Korndorffer; B Todd Heniford; Daniel J Scott
Journal:  Surgery       Date:  2007-08       Impact factor: 3.982

5.  The new ACS/APDS Skills Curriculum: moving the learning curve out of the operating room.

Authors:  Daniel J Scott; Gary L Dunnington
Journal:  J Gastrointest Surg       Date:  2007-10-10       Impact factor: 3.452

6.  Effect of training on endoscopic intracorporeal knot tying.

Authors:  C Vossen; P Van Ballaer; R W Shaw; P R Koninckx
Journal:  Hum Reprod       Date:  1997-12       Impact factor: 6.918

7.  Convergent validation and transfer of learning studies of a virtual reality-based pattern cutting simulator.

Authors:  Arun Nemani; Woojin Ahn; Clairice Cooper; Steven Schwaitzberg; Suvranu De
Journal:  Surg Endosc       Date:  2017-08-15       Impact factor: 4.584

Review 8.  Measuring the surgical 'learning curve': methods, variables and competency.

Authors:  Nuzhath Khan; Hamid Abboudi; Mohammed Shamim Khan; Prokar Dasgupta; Kamran Ahmed
Journal:  BJU Int       Date:  2013-07-02       Impact factor: 5.588

9.  Validation of a virtual intracorporeal suturing simulator.

Authors:  Yaoyu Fu; Lora Cavuoto; Di Qi; Karthikeyan Panneerselvam; Gene Yang; Venkata Sreekanth Artikala; Andinet Enquobahrie; Suvranu De; Steven D Schwaitzberg
Journal:  Surg Endosc       Date:  2018-10-17       Impact factor: 4.584

10.  Laparoscopic appendectomy: a junior trainee's learning curve.

Authors:  Usman Jaffer; Alan E P Cameron
Journal:  JSLS       Date:  2008 Jul-Sep       Impact factor: 2.172

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  6 in total

1.  Virtual reality operating room with AI guidance: design and validation of a fire scenario.

Authors:  Di Qi; Adam Ryason; Nicholas Milef; Samuel Alfred; Mohamad Rassoul Abu-Nuwar; Mojdeh Kappus; Suvranu De; Daniel B Jones
Journal:  Surg Endosc       Date:  2020-02-18       Impact factor: 4.584

2.  A machine learning approach to predict surgical learning curves.

Authors:  Yuanyuan Gao; Uwe Kruger; Xavier Intes; Steven Schwaitzberg; Suvranu De
Journal:  Surgery       Date:  2019-11-18       Impact factor: 3.982

3.  [New techniques and training methods for robot-assisted surgery and cost-benefit analysis of Ivor Lewis esophagectomy].

Authors:  Alexander Urbanski; Benjamin Babic; Wolfgang Schröder; Lars Schiffmann; Dolores T Müller; Christiane J Bruns; Hans F Fuchs
Journal:  Chirurg       Date:  2021-02       Impact factor: 0.955

Review 4.  Outcomes, Measurement Instruments, and Their Validity Evidence in Randomized Controlled Trials on Virtual, Augmented, and Mixed Reality in Undergraduate Medical Education: Systematic Mapping Review.

Authors:  Lorainne Tudor Car; Bhone Myint Kyaw; Andrew Teo; Tatiana Erlikh Fox; Sunitha Vimalesvaran; Christian Apfelbacher; Sandra Kemp; Niels Chavannes
Journal:  JMIR Serious Games       Date:  2022-04-13       Impact factor: 3.364

Review 5.  Virtual Simulation in Undergraduate Medical Education: A Scoping Review of Recent Practice.

Authors:  Qingming Wu; Yubin Wang; Lili Lu; Yong Chen; Hui Long; Jun Wang
Journal:  Front Med (Lausanne)       Date:  2022-03-30

6.  Virtual Reality in Medical Students' Education: Scoping Review.

Authors:  Haowen Jiang; Sunitha Vimalesvaran; Jeremy King Wang; Kee Boon Lim; Sreenivasulu Reddy Mogali; Lorainne Tudor Car
Journal:  JMIR Med Educ       Date:  2022-02-02
  6 in total

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