Literature DB >> 26753619

Urology residents experience comparable workload profiles when performing live porcine nephrectomies and robotic surgery virtual reality training modules.

Vladimir Mouraviev1, Martina Klein2, Eric Schommer3, David D Thiel3, Srinivas Samavedi4, Anup Kumar4, Raymond J Leveillee5, Raju Thomas6, Julio M Pow-Sang7, Li-Ming Su8, Engy Mui9, Roger Smith10, Vipul Patel4.   

Abstract

In pursuit of improving the quality of residents' education, the Southeastern Section of the American Urological Association (SES AUA) hosts an annual robotic training course for its residents. The workshop involves performing a robotic live porcine nephrectomy as well as virtual reality robotic training modules. The aim of this study was to evaluate workload levels of urology residents when performing a live porcine nephrectomy and the virtual reality robotic surgery training modules employed during this workshop. Twenty-one residents from 14 SES AUA programs participated in 2015. On the first-day residents were taught with didactic lectures by faculty. On the second day, trainees were divided into two groups. Half were asked to perform training modules of the Mimic da Vinci-Trainer (MdVT, Mimic Technologies, Inc., Seattle, WA, USA) for 4 h, while the other half performed nephrectomy procedures on a live porcine model using the da Vinci Si robot (Intuitive Surgical Inc., Sunnyvale, CA, USA). After the first 4 h the groups changed places for another 4-h session. All trainees were asked to complete the NASA-TLX 1-page questionnaire following both the MdVT simulation and live animal model sessions. A significant interface and TLX interaction was observed. The interface by TLX interaction was further analyzed to determine whether the scores of each of the six TLX scales varied across the two interfaces. The means of the TLX scores observed at the two interfaces were similar. The only significant difference was observed for frustration, which was significantly higher at the simulation than the animal model, t (20) = 4.12, p = 0.001. This could be due to trainees' familiarity with live anatomical structures over skill set simulations which remain a real challenge to novice surgeons. Another reason might be that the simulator provides performance metrics for specific performance traits as well as composite scores for entire exercises. Novice trainees experienced substantial mental workload while performing tasks on both the simulator and the live animal model during the robotics course. The NASA-TLX profiles demonstrated that the live animal model and the MdVT were similar in difficulty, as indicated by their comparable workload profiles.

Entities:  

Keywords:  Mental workload; NASA Task Load Index; Robotic surgery training

Mesh:

Year:  2016        PMID: 26753619     DOI: 10.1007/s11701-015-0540-1

Source DB:  PubMed          Journal:  J Robot Surg        ISSN: 1863-2483


  9 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

2.  Residency training program paradigms for teaching robotic surgical skills to urology residents.

Authors:  Sonal Grover; Gerald Y Tan; Abhishek Srivastava; Robert A Leung; Ashutosh K Tewari
Journal:  Curr Urol Rep       Date:  2010-03       Impact factor: 3.092

3.  Does training on a virtual reality robotic simulator improve performance on the da Vinci surgical system?

Authors:  Michelle A Lerner; Mikias Ayalew; William J Peine; Chandru P Sundaram
Journal:  J Endourol       Date:  2010-03       Impact factor: 2.942

4.  Face, content, and construct validity of dV-trainer, a novel virtual reality simulator for robotic surgery.

Authors:  Patrick A Kenney; Matthew F Wszolek; Justin J Gould; John A Libertino; Alireza Moinzadeh
Journal:  Urology       Date:  2009-04-10       Impact factor: 2.649

5.  Assessment of robotic simulation by trainees in residency programs of the Southeastern Section of the American Urologic Association.

Authors:  David D Thiel; Vipul R Patel; Todd Larson; Amy Lannen; Raymond J Leveillee
Journal:  J Surg Educ       Date:  2013-05-24       Impact factor: 2.891

6.  Current minimally invasive practice patterns among postgraduate urologists.

Authors:  David A Duchene; Felipe Rosso; Ralph Clayman; Elspeth M McDougall; Howard N Winfield
Journal:  J Endourol       Date:  2011-08-30       Impact factor: 2.942

7.  Simulation-based training for bedside assistants can benefit experienced robotic prostatectomy teams.

Authors:  David D Thiel; Amy Lannen; Eugene Richie; Jesse Dove; Nikunj M Gajarawala; Todd C Igel
Journal:  J Endourol       Date:  2012-10-10       Impact factor: 2.942

8.  Simulation of robotic hysterectomy utilizing the porcine model.

Authors:  Mitchel S Hoffman
Journal:  Am J Obstet Gynecol       Date:  2012-02-09       Impact factor: 8.661

9.  Assessment of virtual reality robotic simulation performance by urology resident trainees.

Authors:  Raaj K Ruparel; Abby S Taylor; Janil Patel; Vipul R Patel; Michael G Heckman; Bhupendra Rawal; Raymond J Leveillee; David D Thiel
Journal:  J Surg Educ       Date:  2014-01-01       Impact factor: 2.891

  9 in total
  4 in total

1.  Experience implication in subjective surgical ergonomics comparison between laparoscopic and robot-assisted surgeries.

Authors:  V Mendes; Franck Bruyere; Jean Michel Escoffre; Aurelien Binet; Hubert Lardy; Henri Marret; Frederic Marchal; Thomas Hebert
Journal:  J Robot Surg       Date:  2019-03-12

2.  Systematic review of measurement tools to assess surgeons' intraoperative cognitive workload.

Authors:  R D Dias; M C Ngo-Howard; M T Boskovski; M A Zenati; S J Yule
Journal:  Br J Surg       Date:  2018-02-21       Impact factor: 6.939

Review 3.  Review of the effect of 3D medical printing and virtual reality on urology training with ‘MedTRain3DModsim’ Erasmus + European Union Project

Authors:  İlkan Tatar; Emre Huri; İlker Selçuk; Young Lee Moon; Alberto Paoluzzi; Andreas Skolarikos
Journal:  Turk J Med Sci       Date:  2019-10-24       Impact factor: 0.973

Review 4.  Non-Technical Skill Assessment and Mental Load Evaluation in Robot-Assisted Minimally Invasive Surgery.

Authors:  Renáta Nagyné Elek; Tamás Haidegger
Journal:  Sensors (Basel)       Date:  2021-04-10       Impact factor: 3.576

  4 in total

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