Copyright
©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Aug 26, 2020; 8(16): 3440-3449
Published online Aug 26, 2020. doi: 10.12998/wjcc.v8.i16.3440
Published online Aug 26, 2020. doi: 10.12998/wjcc.v8.i16.3440
Accuracy study of a binocular-stereo-vision-based navigation robot for minimally invasive interventional procedures
Ran Wang, Ying Han, Nai-Kun Wang, Wei-Wei Sun, Shi-Chong Wang, Li-Juan Lu, Department of Pain Management, Nanjing Drum Tower Hospital The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, Jiangsu Province, China
Min-Zhou Luo, Hua-Dong Zhang, Institute of Intelligent Manufacturing Technology, Jiangsu Industrial Technology Research Institute, Nanjing 210000, Jiangsu Province, China
Author contributions: Lu LJ initiated the study; Lu LJ and Wang R designed the experiment; Han Y performed the robot guided puncture procedure; Wang SC completed the computed tomography scanning and image processing; Wang NK and Sun WW recorded the observational indexes; Luo MZ and Zhang HD were responsible for teaching robot application; Wang R completed the statistical work and wrote the article; Lu LJ revised the article.
Supported by Jiangsu Provincial Department of Science and Technology , No. BE2017603 and No. BE2017675 .
Institutional review board statement: This study did not involve any patient or animal; therefore, the experimental proposal was not submitted for review of institutional review board.
Clinical trial registration statement: This study did not involve any patients; therefore, the experimental proposal was not registered.
Informed consent statement: This study did not involve any patient.
Conflict-of-interest statement: All authors declare having nothing to disclose.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Corresponding author: Li-Juan Lu, MD, Chief Doctor, Department of Pain Management, Nanjing Drum Tower Hospital the Affiliated Hospital of Nanjing University Medical School, No. 321 Zhongshan Road, Nanjing 210008, Jiangsu Province, China. lulijuan@njglyy.com
Received: April 8, 2020
Peer-review started: April 8, 2020
First decision: April 24, 2020
Revised: May 7, 2020
Accepted: July 18, 2020
Article in press: July 18, 2020
Published online: August 26, 2020
Processing time: 138 Days and 22.9 Hours
Peer-review started: April 8, 2020
First decision: April 24, 2020
Revised: May 7, 2020
Accepted: July 18, 2020
Article in press: July 18, 2020
Published online: August 26, 2020
Processing time: 138 Days and 22.9 Hours
Core Tip
Core tip: We developed a computed tomography image-based navigation robot using new registration method with binocular vision. The objective of this study was to evaluate the feasibility, accuracy and stability of this new robot. Our results showed that the accuracy of this kind of navigation robot is acceptable for interventional treatment with target depth of 100 mm or less. Compared with freehand operation, the robot navigation can improve the accuracy and stability when conducting foramen ovale placement. The binocular-stereo-vision based navigation robot is a promising tool, and our research provides key validation results for its clinical application.