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©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Surg. Oct 27, 2022; 14(10): 1141-1149
Published online Oct 27, 2022. doi: 10.4240/wjgs.v14.i10.1141
Published online Oct 27, 2022. doi: 10.4240/wjgs.v14.i10.1141
Topological approach of liver segmentation based on 3D visualization technology in surgical planning for split liver transplantation
Dong Zhao, Kang-Jun Zhang, Tai-Shi Fang, Xu Yan, Xin Jin, Zi-Ming Liang, Jian-Xin Tang, Lin-Jie Xie, Department of Liver Surgery and Organ Transplantation Center, The Third People's Hospital of Shenzhen, The Second Affiliated Hospital of Southern University of Science and Technology, National Clinical Research Center for Infectious Disease, Shenzhen 518000, Guangdong Province, China
Author contributions: Zhao D conceived and designed, and made contributions to administrative support; Zhang KJ, Fang TS and Tang JX made contributions to providing research materials or patients; Liang ZM, Yan X, Jin X and Xie LJ collected and compiled data; Zhao D, Zhang KJ and Fang TS conducted data analysis and interpretation; All authors wrote the manuscript and contributed to the final approval of manuscript.
Supported by The Third People's Hospital of Shenzhen Scientific Research Project , No. G2021008 and No. G2022008 ; Shenzhen Key Medical Discipline Construction Fund , No. SZXK079 ; Shenzhen Science and Technology Research and Development Fund , No. JCYJ20190809165813331 and No. JCYJ20210324131809027 .
Institutional review board statement: The study was reviewed and approved by the Third People's Hospital of Shenzhen Institutional Review Board (Approval No. 2022-133).
Informed consent statement: All study participants or their legal guardian provided informed written consent about personal and medical data collection prior to study enrolment.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
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: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Dong Zhao, MD, Professor, Department of Liver Surgery and Organ Transplantation Center, The Third People's Hospital of Shenzhen, The Second Affiliated Hospital of Southern University of Science and Technology, National Clinical Research Center for Infectious Disease, No. 29 Bulan Road, Longgang District, Shenzhen 518000, Guangdong Province, China. zdong1233@126.com
Received: August 23, 2022
Peer-review started: August 23, 2022
First decision: September 26, 2022
Revised: September 28, 2022
Accepted: October 17, 2022
Article in press: October 17, 2022
Published online: October 27, 2022
Peer-review started: August 23, 2022
First decision: September 26, 2022
Revised: September 28, 2022
Accepted: October 17, 2022
Article in press: October 17, 2022
Published online: October 27, 2022
Core Tip
Core Tip: This is the first study to explore the application of the topological approach of liver segmentation based on 3D visualization technology in surgical planning of split liver transplantation. Clinical data of 10 recipients and 5 donors were analyzed. Couinaud liver segmentation and blood flow topology liver segmentation (BFTLS) methods were used to simulate operation, respectively. The volume of segment IV (the portion of ischemic liver lobes) allocated to the right tri-segment was 136.31 ± 86.10 mL as determined using BFTLS. Results showed that the approach of BFTLS may be useful to predict the range of ischemia in the liver section.