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Precise planning based on 3D-printed dry-laboratory models can reduce perioperative complications of laparoscopic surgery for complex hepatobiliary diseases: a preoperative cohort study

Authors :
Wei-Feng Yao
Xiao-Kun Huang
Tian-Wei Fu
Lei Jin
Cheng-Fei Du
Zhen-Yu Gao
Kai-Di Wang
Mu-Gen Dai
Si-Yu Liu
Jun-Wei Liu
Cheng-Wu Zhang
Lei Liang
Dong-Sheng Huang
Source :
BMC Surgery, Vol 24, Iss 1, Pp 1-9 (2024)
Publication Year :
2024
Publisher :
BMC, 2024.

Abstract

Abstract Background & aims Complications after laparoscopic liver resection (LLR) are important factors affecting the prognosis of patients, especially for complex hepatobiliary diseases. The present study aimed to evaluate the value of a three-dimensional (3D) printed dry-laboratory model in the precise planning of LLR for complex hepatobiliary diseases. Methods Patients with complex hepatobiliary diseases who underwent LLR were preoperatively enrolled, and divided into two groups according to whether using a 3D-printed dry-laboratory model (3D vs. control group). Clinical variables were assessed and complications were graded by the Clavien-Dindo classification. The Comprehensive Complication Index (CCI) scores were calculated and compared for each patient. Multivariable analysis was performed to determine the risk factors of postoperative complications. Results Sixty-two patients with complex hepatobiliary diseases underwent the precise planning of LLR. Among them, thirty-one patients acquired the guidance of a 3D-printed dry-laboratory model, and others were only guided by traditional enhanced CT or MRI. The results showed no significant differences between the two groups in baseline characters. However, compared to the control group, the 3D group had a lower incidence of intraoperative blood loss, as well as postoperative 30-day and major complications, especially bile leakage (all P

Details

Language :
English
ISSN :
14712482
Volume :
24
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Surgery
Publication Type :
Academic Journal
Accession number :
edsdoj.0181b5bc0ecb4bf8b85f966c83eb3214
Document Type :
article
Full Text :
https://doi.org/10.1186/s12893-024-02441-z