A numerical simulation study of soft tissue resection for low-damage precision cancer surgery
Jiang, Yonghang and Kyeremeh, Justicia and Luo, Xichun and Wang, Zhengjian and Zhang, Ka and Cao, Faxian and Asciak, Lisa and Kazakidi, Asimina and Stewart, Grant D. and Shu, Wenmiao (2025) A numerical simulation study of soft tissue resection for low-damage precision cancer surgery. Computer Methods and Programs in Biomedicine, 270. 108937. ISSN 0169-2607 (https://doi.org/10.1016/j.cmpb.2025.108937)
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Abstract
Background and Objective: Precision cancer surgery aims to minimize tissue damage while ensuring effective tumor removal. The paper presented a numerical simulation study and its experimental validation to reveal the influence of surgical parameters on tissue fracture towards establishing precision cancer surgical procedure for achieving low tissue damage. Methods: A mechanical tensile test was conducted on a clinically certified 3D-printed kidney model to characterize its biomechanical properties and determine constitutive model parameters. Based on these findings, we developed an advanced soft tissue resection simulation model, which can accurately capture the contact interactions between surgical tools and biological soft tissue. Additionally, we implemented a computational program that automates the selection of viscoelastic and hyperelastic properties, significantly reducing the need for repeated manual modeling. The accuracy of this simulation was validated through experimental resection tests. Results: This method saves about 40 % of time compared to traditional simulation methods. The study analyzed the effects of different resection angles, depths, and velocities on tissue damage. The results indicate that minimal tissue damage occurs at a higher resection speed (30 mm/s), a smaller depth, and an angle of 15° for horizontal cutting. Conclusions: Higher resection speeds enhance fracture toughness, making tissue easier to fracture with less internal deformation, while smaller cutting angles reduce fiber breakage and energy dissipation, leading to minimal tissue damage. These findings suggest that optimizing resection parameters can significantly reduce tissue damage. The study provides insights into refining precision cancer surgical techniques and contributes to developing improved resection strategies that minimize collateral tissue damage.
ORCID iDs
Jiang, Yonghang
ORCID: https://orcid.org/0000-0003-4319-6691, Kyeremeh, Justicia, Luo, Xichun
ORCID: https://orcid.org/0000-0002-5024-7058, Wang, Zhengjian
ORCID: https://orcid.org/0000-0002-0837-7019, Zhang, Ka
ORCID: https://orcid.org/0009-0007-3240-2070, Cao, Faxian
ORCID: https://orcid.org/0000-0002-0281-6092, Asciak, Lisa
ORCID: https://orcid.org/0009-0008-8285-198X, Kazakidi, Asimina
ORCID: https://orcid.org/0000-0001-7124-4123, Stewart, Grant D. and Shu, Wenmiao
ORCID: https://orcid.org/0000-0002-1220-361X;
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Item type: Article ID code: 93411 Dates: DateEvent1 October 2025Published4 July 2025Published Online3 July 2025AcceptedSubjects: Medicine > Biomedical engineering. Electronics. Instrumentation Department: Faculty of Engineering > Design, Manufacture and Engineering Management
Faculty of Engineering > Biomedical EngineeringDepositing user: Pure Administrator Date deposited: 04 Jul 2025 15:54 Last modified: 12 Mar 2026 03:01 URI: https://strathprints.strath.ac.uk/id/eprint/93411
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