Literature DB >> 30689167

A novel ex vivo trainer for robotic vesicourethral anastomosis.

Kevin Shee1,2, Kevin Koo3, Xiaotian Wu4, Fady M Ghali5, Ryan J Halter4, Elias S Hyams3.   

Abstract

Robotic surgical skill development is central to training in urology as well as other surgical disciplines. Vesicourethral anastomosis (VUA) in robotic prostatectomy is a challenging task for novices due to delicate tissue and difficult suturing angles. Commercially available, realistic training models are limited. Here, we describe the development and validation of a 3D-printed model of the VUA for ex vivo training using the da Vinci Surgical System. Models of the bladder and urethra were created using 3D-printing technology based on estimations of average in vivo anatomy. 10 surgical residents without prior robotics training were enrolled in the study: 5 residents received structured virtual reality (VR) training on the da Vinci Skills Simulator ("trained"), while the other 5 did not ("untrained"). 4 faculty robotic surgeons trained in robotic urologic oncology ("experts") were also enrolled. Mean (range) completion percentage was 20% (10-30%), 54% (40-70%), and 96% (85-100%) by the untrained, trained, and expert groups, respectively. Anastomosis integrity was rated as excellent (as opposed to moderate or poor) in 40%, 60%, and 100% of untrained, trained, and expert groups, respectively. Face validity (realism) was rated as 8 of 10 on average by the expert surgeons, each of whom rated the model as a superior training tool to digital VR trainers. Content validity (usefulness) was rated as 10 of 10 by all participants. This is the first reported 3D-printed ex vivo trainer for VUA in robotic prostatectomy validated for use in robotic simulation. The addition of 3D-printed ex vivo training to existing digital simulation technologies may augment and improve robotic surgical education in the future.

Entities:  

Keywords:  Prostatectomy; Robotic surgery; Simulation; Surgical education; Surgical skills training

Mesh:

Year:  2019        PMID: 30689167     DOI: 10.1007/s11701-019-00926-1

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


  30 in total

1.  Concurrent and predictive validation of a novel robotic surgery simulator: a prospective, randomized study.

Authors:  Andrew J Hung; Mukul B Patil; Pascal Zehnder; Jie Cai; Casey K Ng; Monish Aron; Inderbir S Gill; Mihir M Desai
Journal:  J Urol       Date:  2011-12-15       Impact factor: 7.450

2.  Practice Makes Perfect: Correlations Between Prior Experience in High-level Athletics and Robotic Surgical Performance Do Not Persist After Task Repetition.

Authors:  Kevin Shee; Fady M Ghali; Elias S Hyams
Journal:  J Surg Educ       Date:  2017-01-10       Impact factor: 2.891

3.  Force feedback and basic laparoscopic skills.

Authors:  Magdalena K Chmarra; Jenny Dankelman; John J van den Dobbelsteen; Frank-Willem Jansen
Journal:  Surg Endosc       Date:  2008-04-29       Impact factor: 4.584

4.  Face validation of a novel robotic surgical simulator.

Authors:  Stéfanie A Seixas-Mikelus; Thenkurussi Kesavadas; Govindarajan Srimathveeravalli; Rameela Chandrasekhar; Gregory E Wilding; Khurshid A Guru
Journal:  Urology       Date:  2010-03-17       Impact factor: 2.649

5.  Application of the polystyrene model made by 3-D printing rapid prototyping technology for operation planning in revision lumbar discectomy.

Authors:  Chao Li; Mingyuan Yang; Yang Xie; Ziqiang Chen; Chuanfeng Wang; Yushu Bai; Xiaodong Zhu; Ming Li
Journal:  J Orthop Sci       Date:  2015-03-31       Impact factor: 1.601

6.  A simulated training model for laparoscopic pyloromyotomy: Is 3D printing the way of the future?

Authors:  Andrew Williams; Morgan McWilliam; James Ahlin; Jacob Davidson; Mackenzie A Quantz; Andreana Bütter
Journal:  J Pediatr Surg       Date:  2018-02-08       Impact factor: 2.545

Review 7.  Anatomy and Physiology of the Urinary Tract: Relation to Host Defense and Microbial Infection.

Authors:  Duane R Hickling; Tung-Tien Sun; Xue-Ru Wu
Journal:  Microbiol Spectr       Date:  2015-08

8.  Construct validity of the chicken model in the simulation of laparoscopic radical prostatectomy suture.

Authors:  M P Laguna; A Arce-Alcazar; C A Mochtar; R Van Velthoven; A Peltier; J J M C H de la Rosette
Journal:  J Endourol       Date:  2006-01       Impact factor: 2.942

9.  Use of 3-dimensional printing technology and silicone modeling in surgical simulation: development and face validation in pediatric laparoscopic pyeloplasty.

Authors:  Carling L Cheung; Thomas Looi; Thomas S Lendvay; James M Drake; Walid A Farhat
Journal:  J Surg Educ       Date:  2014-04-18       Impact factor: 2.891

10.  Three-Dimensional Printing of Life-Like Models for Simulation and Training of Minimally Invasive Cardiac Surgery.

Authors:  Toshiyuki Yamada; Motohiko Osako; Tomoya Uchimuro; Ryogen Yoon; Toshiaki Morikawa; Maki Sugimoto; Hisao Suda; Hideyuki Shimizu
Journal:  Innovations (Phila)       Date:  2017 Nov/Dec
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  5 in total

Review 1.  Novel Education and Simulation Tools in Urologic Training.

Authors:  Brandon S Childs; Marc D Manganiello; Ruslan Korets
Journal:  Curr Urol Rep       Date:  2019-11-28       Impact factor: 3.092

Review 2.  Three-Dimensional Physical Model in Urologic Cancer.

Authors:  Yu Xie; Guanlin Wu; Yu Liang; Gang Fan
Journal:  Front Surg       Date:  2022-05-25

3.  A prospective study of the effect of video games on robotic surgery skills using the high-fidelity virtual reality RobotiX simulator.

Authors:  Andreas Pierre Hvolbek; Philip Mørkeberg Nilsson; Francesco Sanguedolce; Lars Lund
Journal:  Adv Med Educ Pract       Date:  2019-08-14

Review 4.  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 5.  3D pelvic cadaver model: a novel approach to surgical training for penile implant surgery.

Authors:  Koenraad van Renterghem; Ahmed Ghazi
Journal:  Int J Impot Res       Date:  2019-10-24       Impact factor: 2.896

  5 in total

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