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Evaluation of a Virtual Reality Percutaneous Nephrolithotomy (PCNL) Surgical Simulator
Percutaneous Nephrolithotomy is the standard surgical procedure used to remove large kidney stones. PCNL procedures have a steep learning curve; a physician needs to complete between 36 and 60 procedures, to achieve clinical proficiency. Marion Surgical K181 is a virtual reality surgical simulator,...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805868/ https://www.ncbi.nlm.nih.gov/pubmed/33501160 http://dx.doi.org/10.3389/frobt.2019.00145 |
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author | Sainsbury, Ben Łącki, Maciej Shahait, Mohammed Goldenberg, Mitchell Baghdadi, Amir Cavuoto, Lora Ren, Jing Green, Mark Lee, Jason Averch, Timothy D. Rossa, Carlos |
author_facet | Sainsbury, Ben Łącki, Maciej Shahait, Mohammed Goldenberg, Mitchell Baghdadi, Amir Cavuoto, Lora Ren, Jing Green, Mark Lee, Jason Averch, Timothy D. Rossa, Carlos |
author_sort | Sainsbury, Ben |
collection | PubMed |
description | Percutaneous Nephrolithotomy is the standard surgical procedure used to remove large kidney stones. PCNL procedures have a steep learning curve; a physician needs to complete between 36 and 60 procedures, to achieve clinical proficiency. Marion Surgical K181 is a virtual reality surgical simulator, which emulates the PCNL procedures without compromising the well-being of patients. The simulator uses a VR headset to place a user in a realistic and immersive operating theater, and haptic force-feedback robots to render physical interactions between surgical tools and the virtual patient. The simulator has two modules for two different aspects of PCNL kidney stone removal procedure: kidney access module where the user must insert a needle into the kidney of the patient, and a kidney stone removal module where the user removes the individual stones from the organ. In this paper, we present user trials to validate the face and construct validity of the simulator. The results, based on the data gathered from 4 groups of users independently, indicate that Marion's surgical simulator is a useful tool for teaching and practicing PCNL procedures. The kidney stone removal module of the simulator has proven construct validity by identifying the skill level of different users based on their tool path. We plan to continue evaluating the simulator with a larger sample of users to reinforce our findings. |
format | Online Article Text |
id | pubmed-7805868 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78058682021-01-25 Evaluation of a Virtual Reality Percutaneous Nephrolithotomy (PCNL) Surgical Simulator Sainsbury, Ben Łącki, Maciej Shahait, Mohammed Goldenberg, Mitchell Baghdadi, Amir Cavuoto, Lora Ren, Jing Green, Mark Lee, Jason Averch, Timothy D. Rossa, Carlos Front Robot AI Robotics and AI Percutaneous Nephrolithotomy is the standard surgical procedure used to remove large kidney stones. PCNL procedures have a steep learning curve; a physician needs to complete between 36 and 60 procedures, to achieve clinical proficiency. Marion Surgical K181 is a virtual reality surgical simulator, which emulates the PCNL procedures without compromising the well-being of patients. The simulator uses a VR headset to place a user in a realistic and immersive operating theater, and haptic force-feedback robots to render physical interactions between surgical tools and the virtual patient. The simulator has two modules for two different aspects of PCNL kidney stone removal procedure: kidney access module where the user must insert a needle into the kidney of the patient, and a kidney stone removal module where the user removes the individual stones from the organ. In this paper, we present user trials to validate the face and construct validity of the simulator. The results, based on the data gathered from 4 groups of users independently, indicate that Marion's surgical simulator is a useful tool for teaching and practicing PCNL procedures. The kidney stone removal module of the simulator has proven construct validity by identifying the skill level of different users based on their tool path. We plan to continue evaluating the simulator with a larger sample of users to reinforce our findings. Frontiers Media S.A. 2020-01-14 /pmc/articles/PMC7805868/ /pubmed/33501160 http://dx.doi.org/10.3389/frobt.2019.00145 Text en Copyright © 2020 Sainsbury, Łącki, Shahait, Goldenberg, Baghdadi, Cavuoto, Ren, Green, Lee, Averch and Rossa. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Robotics and AI Sainsbury, Ben Łącki, Maciej Shahait, Mohammed Goldenberg, Mitchell Baghdadi, Amir Cavuoto, Lora Ren, Jing Green, Mark Lee, Jason Averch, Timothy D. Rossa, Carlos Evaluation of a Virtual Reality Percutaneous Nephrolithotomy (PCNL) Surgical Simulator |
title | Evaluation of a Virtual Reality Percutaneous Nephrolithotomy (PCNL) Surgical Simulator |
title_full | Evaluation of a Virtual Reality Percutaneous Nephrolithotomy (PCNL) Surgical Simulator |
title_fullStr | Evaluation of a Virtual Reality Percutaneous Nephrolithotomy (PCNL) Surgical Simulator |
title_full_unstemmed | Evaluation of a Virtual Reality Percutaneous Nephrolithotomy (PCNL) Surgical Simulator |
title_short | Evaluation of a Virtual Reality Percutaneous Nephrolithotomy (PCNL) Surgical Simulator |
title_sort | evaluation of a virtual reality percutaneous nephrolithotomy (pcnl) surgical simulator |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805868/ https://www.ncbi.nlm.nih.gov/pubmed/33501160 http://dx.doi.org/10.3389/frobt.2019.00145 |
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