Retrospective Study
Copyright ©The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved.
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 by the 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
Abstract
BACKGROUND

Hernia is a common condition requiring abdominal surgery. The current standard treatment for hernia is tension-free repair using meshes. Globally, more than 200 new types of meshes are licensed each year. However, their clinical applications are associated with a series of complications, such as recurrence (10% - 24%) and infection (0.5% - 9.0%). In contrast, 3D-printed meshes have significantly reduced the postoperative complications in patients. They have also shortened operating time and minimized the loss of mesh materials. In this study, we used the myopectineal orifice (MPO) data obtained from preoperative computer tomography (CT)-based 3D reconstruction for the production of 3D-printed biologic meshes.

AIM

To investigate the application of multislice spiral CT-based 3D reconstruction technique in 3D-printed biologic mesh for hernia repair surgery.

METHODS

We retrospectively analyzed 60 patients who underwent laparoscopic tension-free repair for inguinal hernia in the Department of General Surgery of the First Hospital of Shanxi Medical University from September 2019 to December 2019. This study included 30 males and 30 females, with a mean age of 40 ± 5.6 years. Data on the MPO were obtained from preoperative CT-based 3D reconstruction as well as from real-world intraoperative measurements for all patients. Anatomic points were set for the purpose of measurement based on the definition of MPO: A: The pubic tubercle; B: Intersection of the horizontal line extending from the summit of the inferior edge of the internal oblique and transversus abdominis and the outer edge of the rectus abdominis, C: Intersection of the horizontal line extending from the summit of the inferior edge of the internal oblique and transversus abdominis and the inguinal ligament, D: Intersection of the iliopsoas muscle and the inguinal ligament, and E: Intersection of the iliopsoas muscle and the superior pubic ramus. The distance between the points was measured. All preoperative and intraoperative data were analyzed using the t test. Differences with P < 0.05 were considered significant in comparative analysis.

RESULTS

The distance between points AB, AC, BC, DE, and AE based on preoperative and intraoperative data was 7.576 ± 0.212 cm vs 7.573 ± 0.266 cm, 7.627 ± 0.212 cm vs 7.627 ± 0.212 cm, 7.677 ± 0.229 cm vs 7.567 ± 0.786 cm, 7.589 ± 0.204 cm vs 7.512 ± 0.21 cm, and 7.617 ± 0.231 cm vs 7.582 ± 0.189 cm, respectively. All differences were not statistically significant (P > 0.05).

CONCLUSION

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.

Keywords: Hernia; Inguinal; Myopectineal orifice; 3D-printed biologic meshes; Computer tomography-based 3D reconstruction; Inguinal hernia

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.