Cargando…
Concurrent and predictive validation of robotic simulator Tube 3 module
PURPOSE: We previously described a new procedure specific module (Tube 3) to allow the practice of vesicourethral anastomosis after robot-assisted radical prostatectomy. Herein, we report a predetermined proficiency level of Tube 3 and preliminary validation to explore whether this new module can le...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Urological Association
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4643171/ https://www.ncbi.nlm.nih.gov/pubmed/26568793 http://dx.doi.org/10.4111/kju.2015.56.11.756 |
_version_ | 1782400482841460736 |
---|---|
author | Kim, Jae Yoon Kim, Seung Bin Pyun, Jong Hyun Kim, Hyung Keun Cho, Seok Lee, Jeong Gu Kim, Je Jong Cheon, Jun Kang, Seok Ho Kang, Sung Gu |
author_facet | Kim, Jae Yoon Kim, Seung Bin Pyun, Jong Hyun Kim, Hyung Keun Cho, Seok Lee, Jeong Gu Kim, Je Jong Cheon, Jun Kang, Seok Ho Kang, Sung Gu |
author_sort | Kim, Jae Yoon |
collection | PubMed |
description | PURPOSE: We previously described a new procedure specific module (Tube 3) to allow the practice of vesicourethral anastomosis after robot-assisted radical prostatectomy. Herein, we report a predetermined proficiency level of Tube 3 and preliminary validation to explore whether this new module can lead to performance improvement in the da Vinci system. MATERIALS AND METHODS: Eight urology residents and three urology fellows performed the Tube 3 module 1 hour daily for 7 days. The learning curve was depicted through a scatterplot and the stable point was identified through the cumulative sum chart. Concurrent and predictive validations were performed with the da Vinci system. The mean time to complete the task and end product rating score between Tube 3 training group and no Tube 3 training group were compared. RESULTS: Concerning the learning curve, about 41 repetitions comprising about 5 hours were needed to achieve this stable point when the mean time to complete Tube of 384 seconds was set as a target. With regarding to the concurrent and predictive validation, there significant differences were evident in the mean time to complete 16 needle passages and the vesicourethral anastomosis and the end product rating score. CONCLUSIONS: The virtual reality (VR) simulator can yield sufficient improvement in technical performance in Tube 3 within 5 hours. The acquired proficiency can be transferable to the vesicourethral anastomosis using the da Vinci system. |
format | Online Article Text |
id | pubmed-4643171 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | The Korean Urological Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-46431712015-11-14 Concurrent and predictive validation of robotic simulator Tube 3 module Kim, Jae Yoon Kim, Seung Bin Pyun, Jong Hyun Kim, Hyung Keun Cho, Seok Lee, Jeong Gu Kim, Je Jong Cheon, Jun Kang, Seok Ho Kang, Sung Gu Korean J Urol Original Article PURPOSE: We previously described a new procedure specific module (Tube 3) to allow the practice of vesicourethral anastomosis after robot-assisted radical prostatectomy. Herein, we report a predetermined proficiency level of Tube 3 and preliminary validation to explore whether this new module can lead to performance improvement in the da Vinci system. MATERIALS AND METHODS: Eight urology residents and three urology fellows performed the Tube 3 module 1 hour daily for 7 days. The learning curve was depicted through a scatterplot and the stable point was identified through the cumulative sum chart. Concurrent and predictive validations were performed with the da Vinci system. The mean time to complete the task and end product rating score between Tube 3 training group and no Tube 3 training group were compared. RESULTS: Concerning the learning curve, about 41 repetitions comprising about 5 hours were needed to achieve this stable point when the mean time to complete Tube of 384 seconds was set as a target. With regarding to the concurrent and predictive validation, there significant differences were evident in the mean time to complete 16 needle passages and the vesicourethral anastomosis and the end product rating score. CONCLUSIONS: The virtual reality (VR) simulator can yield sufficient improvement in technical performance in Tube 3 within 5 hours. The acquired proficiency can be transferable to the vesicourethral anastomosis using the da Vinci system. The Korean Urological Association 2015-11 2015-11-03 /pmc/articles/PMC4643171/ /pubmed/26568793 http://dx.doi.org/10.4111/kju.2015.56.11.756 Text en © The Korean Urological Association, 2015 http://creativecommons.org/licenses/by-nc/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Kim, Jae Yoon Kim, Seung Bin Pyun, Jong Hyun Kim, Hyung Keun Cho, Seok Lee, Jeong Gu Kim, Je Jong Cheon, Jun Kang, Seok Ho Kang, Sung Gu Concurrent and predictive validation of robotic simulator Tube 3 module |
title | Concurrent and predictive validation of robotic simulator Tube 3 module |
title_full | Concurrent and predictive validation of robotic simulator Tube 3 module |
title_fullStr | Concurrent and predictive validation of robotic simulator Tube 3 module |
title_full_unstemmed | Concurrent and predictive validation of robotic simulator Tube 3 module |
title_short | Concurrent and predictive validation of robotic simulator Tube 3 module |
title_sort | concurrent and predictive validation of robotic simulator tube 3 module |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4643171/ https://www.ncbi.nlm.nih.gov/pubmed/26568793 http://dx.doi.org/10.4111/kju.2015.56.11.756 |
work_keys_str_mv | AT kimjaeyoon concurrentandpredictivevalidationofroboticsimulatortube3module AT kimseungbin concurrentandpredictivevalidationofroboticsimulatortube3module AT pyunjonghyun concurrentandpredictivevalidationofroboticsimulatortube3module AT kimhyungkeun concurrentandpredictivevalidationofroboticsimulatortube3module AT choseok concurrentandpredictivevalidationofroboticsimulatortube3module AT leejeonggu concurrentandpredictivevalidationofroboticsimulatortube3module AT kimjejong concurrentandpredictivevalidationofroboticsimulatortube3module AT cheonjun concurrentandpredictivevalidationofroboticsimulatortube3module AT kangseokho concurrentandpredictivevalidationofroboticsimulatortube3module AT kangsunggu concurrentandpredictivevalidationofroboticsimulatortube3module |