Literature DB >> 27651354

The effect of different training exercises on the performance outcome on the da Vinci Skills Simulator.

U Walliczek-Dworschak1, M Schmitt2, P Dworschak3, I Diogo2, A Ecke2, M Mandapathil2, A Teymoortash2, C Güldner2.   

Abstract

BACKGROUND: Increasing usage of robotic surgery presents surgeons with the question of how to acquire the special skills required. This study aimed to analyze the effect of different exercises on their performance outcomes.
METHODS: This prospective study was conducted on the da Vinci Skills Simulator from December 2014 till August 2015. Sixty robotic novices were included and randomized to three groups of 20 participants each. Each group performed three different exercises with comparable difficulty levels. The exercises were performed three times in a row within two training sessions, with an interval of 1 week in between. On the final training day, two new exercises were added and a questionnaire was completed. Technical metrics of performance (overall score, time to complete, economy of motion, instrument collisions, excessive instrument force, instruments out of view, master work space range, drops, missed targets, misapplied energy time, blood loss and broken vessels) were recorded by the simulator software for further analysis.
RESULTS: Training with different exercises led to comparable results in performance metrics for the final exercises among the three groups. A significant skills gain was recorded between the first and last exercises, with improved performance in overall score, time to complete and economy of motion for all exercises in all three groups.
CONCLUSIONS: As training with different exercises led to comparable results in robotic training, the type of exercise seems to play a minor role in the outcome. For a robotic training curriculum, it might be important to choose exercises with comparable difficulty levels. In addition, it seems to be advantageous to limit the duration of the training to maintain the concentration throughout the entire session.

Entities:  

Keywords:  Robotic surgery; Robotic surgery education; Training program; da Vinci Skills Simulator

Mesh:

Year:  2016        PMID: 27651354     DOI: 10.1007/s00464-016-5240-z

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


  16 in total

1.  Validation study of a virtual reality robotic simulator--role as an assessment tool?

Authors:  Jason Y Lee; Phillip Mucksavage; David C Kerbl; Victor B Huynh; Mohamed Etafy; Elspeth M McDougall
Journal:  J Urol       Date:  2012-01-20       Impact factor: 7.450

2.  Effect of training frequency on the learning curve on the da Vinci Skills Simulator.

Authors:  Ute Walliczek; Arne Förtsch; Philipp Dworschak; Afshin Teymoortash; Magis Mandapathil; Jochen Werner; Christian Güldner
Journal:  Head Neck       Date:  2015-12-17       Impact factor: 3.147

3.  Effect of short-term pretrial practice on surgical proficiency in simulated environments: a randomized trial of the "preoperative warm-up" effect.

Authors:  Kanav Kahol; Richard M Satava; John Ferrara; Marshall L Smith
Journal:  J Am Coll Surg       Date:  2008-12-04       Impact factor: 6.113

4.  Can we become better robot surgeons through simulator practice?

Authors:  Ankit Patel; Meghna Patel; Nathaniel Lytle; Juan P Toro; Rachel L Medbery; Sheryl Bluestein; Sebastian D Perez; John F Sweeney; S Scott Davis; Edward Lin
Journal:  Surg Endosc       Date:  2014-03       Impact factor: 4.584

5.  Face, content, construct and concurrent validity of dry laboratory exercises for robotic training using a global assessment tool.

Authors:  Patrick Ramos; Jeremy Montez; Adrian Tripp; Casey K Ng; Inderbir S Gill; Andrew J Hung
Journal:  BJU Int       Date:  2014-03-20       Impact factor: 5.588

6.  Validation, correlation, and comparison of the da Vinci trainer(™) and the daVinci surgical skills simulator(™) using the Mimic(™) software for urologic robotic surgical education.

Authors:  Michael A Liss; Corollos Abdelshehid; Stephen Quach; Achim Lusch; Joseph Graversen; Jaime Landman; Elspeth M McDougall
Journal:  J Endourol       Date:  2012-10-02       Impact factor: 2.942

7.  Warm-up in a virtual reality environment improves performance in the operating room.

Authors:  Dan Calatayud; Sonal Arora; Rajesh Aggarwal; Irina Kruglikova; Svend Schulze; Peter Funch-Jensen; Teodor Grantcharov
Journal:  Ann Surg       Date:  2010-06       Impact factor: 12.969

8.  Virtual reality robotic surgical simulation: an analysis of gynecology trainees.

Authors:  Sangini S Sheth; Amanda N Fader; Ana I Tergas; Christina L Kushnir; Isabel C Green
Journal:  J Surg Educ       Date:  2013-07-12       Impact factor: 2.891

9.  Validation of the da Vinci Surgical Skill Simulator across three surgical disciplines: A pilot study.

Authors:  Tarek Alzahrani; Richard Haddad; Abdullah Alkhayal; Josée Delisle; Laura Drudi; Walter Gotlieb; Shannon Fraser; Simon Bergman; Frank Bladou; Sero Andonian; Maurice Anidjar
Journal:  Can Urol Assoc J       Date:  2013 Jul-Aug       Impact factor: 1.862

10.  A pilot study of surgical training using a virtual robotic surgery simulator.

Authors:  Ana I Tergas; Sangini B Sheth; Isabel C Green; Robert L Giuntoli; Abigail D Winder; Amanda N Fader
Journal:  JSLS       Date:  2013 Apr-Jun       Impact factor: 2.172

View more
  1 in total

1.  Advanced head and neck surgery training during the COVID-19 pandemic.

Authors:  Babak Givi; Michael G Moore; Arnaud F Bewley; Charles S Coffey; Marc A Cohen; Amy C Hessel; Scharukh Jalisi; Steven Kang; Jason G Newman; Liana Puscas; Maisie Shindo; Andrew Shuman; Punam Thakkar; Donald T Weed; Ara Chalian
Journal:  Head Neck       Date:  2020-05-08       Impact factor: 3.147

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.