» Articles » PMID: 38114507

3D Printing of Self-healing Personalized Liver Models for Surgical Training and Preoperative Planning

Overview
Journal Nat Commun
Specialty Biology
Date 2023 Dec 19
PMID 38114507
Authors
Affiliations
Soon will be listed here.
Abstract

3D printing can produce intuitive, precise, and personalized anatomical models, providing invaluable support for precision medicine, particularly in areas like surgical training and preoperative planning. However, conventional 3D printed models are often significantly more rigid than human organs and cannot undergo repetitive resection, which severely restricts their clinical value. Here we report the stereolithographic 3D printing of personalized liver models based on physically crosslinked self-healing elastomers with liver-like softness. Benefiting from the short printing time, the highly individualized models can be fabricated immediately following enhanced CT examination. Leveraging the high-efficiency self-healing performance, these models support repetitive resection for optimal trace through a trial-and-error approach. At the preliminary explorative clinical trial (NCT06006338), a total of 5 participants are included for preoperative planning. The primary outcomes indicate that the negative surgery margins are achieved and the unforeseen injuries of vital vascular structures are avoided. The 3D printing of liver models can enhance the safety of hepatic surgery, demonstrating promising application value in clinical practice.

Citing Articles

Construction of reusable fluorescent assembled 3D-printed hydrogen-based models to simulate minimally invasive resection of complex liver cancer.

Cao W, Pan X, Jin L, Liu J, Cao J, Jin L PLoS One. 2024; 19(12):e0316199.

PMID: 39729490 PMC: 11676854. DOI: 10.1371/journal.pone.0316199.


Recent Advances in Electrospinning Techniques for Precise Medicine.

Li W, Yin Y, Zhou H, Fan Y, Yang Y, Gao Q Cyborg Bionic Syst. 2024; 5:0101.

PMID: 38778878 PMC: 11109596. DOI: 10.34133/cbsystems.0101.

References
1.
Dong J, Yang S, Zeng J, Cai S, Ji W, Duan W . Precision in liver surgery. Semin Liver Dis. 2013; 33(3):189-203. DOI: 10.1055/s-0033-1351781. View

2.
Zhang H, Liu F, Wen N, Li B, Wei Y . Patterns, timing, and predictors of recurrence after laparoscopic liver resection for hepatocellular carcinoma: results from a high-volume HPB center. Surg Endosc. 2021; 36(2):1215-1223. PMC: 8758625. DOI: 10.1007/s00464-021-08390-5. View

3.
Huber T, Huettl F, Tripke V, Baumgart J, Lang H . Experiences With Three-dimensional Printing in Complex Liver Surgery. Ann Surg. 2020; 273(1):e26-e27. DOI: 10.1097/SLA.0000000000004348. View

4.
Robinson L, Self J, Fusi A, Bates M, Read de Alaniz J, Hawker C . Chemical and Mechanical Tunability of 3D-Printed Dynamic Covalent Networks Based on Boronate Esters. ACS Macro Lett. 2022; 10(7):857-863. DOI: 10.1021/acsmacrolett.1c00257. View

5.
Perica E, Sun Z . A Systematic Review of Three-Dimensional Printing in Liver Disease. J Digit Imaging. 2018; 31(5):692-701. PMC: 6148823. DOI: 10.1007/s10278-018-0067-x. View