Wang F, Yang XF. Application of computer tomography-based 3D reconstruction technique in hernia repair surgery. World J Clin Cases 2020; 8(23): 5944-5951 [PMID: 33344593 DOI: 10.12998/wjcc.v8.i23.5944]
Corresponding Author of This Article
Xiao-Feng Yang, MD, PhD, Doctor, Professor, Department of Urology, the First Hospital of Shanxi Medical University, No. 85 Jiefang South Road, Yingze Strict, Taiyuan 030001, Shanxi Province, China. yxfylq@163.com
Research Domain of This Article
Surgery
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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/
World J Clin Cases. Dec 6, 2020; 8(23): 5944-5951 Published online Dec 6, 2020. doi: 10.12998/wjcc.v8.i23.5944
Application of computer tomography-based 3D reconstruction technique in hernia repair surgery
Feng Wang, Xiao-Feng Yang
Feng Wang, Department of General Surgery, The First Hospital of Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
Xiao-Feng Yang, Department of Urology, The First Hospital of Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
Author contributions: Wang F and Yang XF designed and wrote the manuscript; Yang XF made critical revisions of this manuscript; and all authors read and approved the final manuscript.
Supported bythe Shanxi Provincial Key Research and Development Program, No. 201903D321175.
Institutional review board statement: The study was reviewed and approved by the First Hospital of Shanxi Medical University Institutional Review Board, Approval No. 2019SK018.
Informed consent statement: All study participants or their legal guardian provided informed written consent about personal and medical data collection prior to study enrollment.
Conflict-of-interest statement: Authors declare no conflict of interests for this review.
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: Xiao-Feng Yang, MD, PhD, Doctor, Professor, Department of Urology, the First Hospital of Shanxi Medical University, No. 85 Jiefang South Road, Yingze Strict, Taiyuan 030001, Shanxi Province, China. yxfylq@163.com
Received: July 30, 2020 Peer-review started: July 30, 2020 First decision: August 22, 2020 Revised: September 5, 2020 Accepted: October 13, 2020 Article in press: October 13, 2020 Published online: December 6, 2020 Processing time: 127 Days and 0 Hours
Core Tip
Core Tip: We investigated the application of multislice spiral computer tomography (CT)-based 3D reconstruction technique in 3D-printed biologic mesh for hernia repair surgery. We retrospectively analyzed 60 patients who underwent laparoscopic tension-free repair for inguinal hernia. Data on the myopectineal orifice (MPO) were obtained from preoperative CT-based 3D reconstruction as well as from real-world intraoperative measurements for all patients. All preoperative and intraoperative data were analyzed using the t test. Their differences were not statistically significant. The use of multislice spiral CT-based 3D reconstruction technique before hernia repair surgery allows accurate measurement of data and relationships of different anatomic sites in the MPO region. This technique can provide precise data for the production of 3D-printed biologic meshes.
