低温–机械耦合效应下的生物组织损伤有限元模型
Finite Element Model of Biological Tissue Damage under Hypothermia-Mechanical Coupling Effect
DOI: 10.12677/mos.2025.146477, PDF,   
作者: 胡文渲：上海理工大学环境与建筑学院，上海
关键词: 冷冻消融；应力应变；脑胶质瘤；颅内压；Cryoablation； Stress and Strain； Brain Glioma； Intracranial Pressure
摘要: 冷冻消融术作为目前治疗肿瘤的重要方法之一，具有安全、高效、微创等优势。然而，脑肿瘤冷冻消融术中引发的颅内压波动现象未得到足够的重视。研究颅内温度与压力相互作用的机制，或许有助于解决这一问题。文章考虑温度和围压的耦合作用，构建了肿瘤冻结后机械损伤的有限元模型，评估低温环境下生物组织冻结后力学性能的影响及损伤规律。并采用COMSOL数值模拟胶质瘤低温消融中颅内温度–力学耦合的响应机制。
Abstract: Cryoablation, as one of the important methods for the treatment of tumors, has advantages such as safety, efficiency, and minimal invasiveness. However, the phenomenon of intracranial pressure fluctuation caused by brain tumor cryoablation has not received enough attention. Studying the mechanism of the interaction between intracranial temperature and pressure may help to solve this problem. Considering the coupling effect of temperature and confining pressure, a finite element model of tumor mechanical damage after freezing was constructed to evaluate the effect of freezing on mechanical properties and the damage law of biological tissues in a low-temperature environment. COMSOL was used to simulate the response mechanism of intracranial temperature-mechanical coupling during glioma cryoablation.
文章引用：胡文渲. 低温–机械耦合效应下的生物组织损伤有限元模型[J]. 建模与仿真, 2025, 14(6): 75-83. https://doi.org/10.12677/mos.2025.146477

参考文献

[1] Theodoropoulos, D., Karabetsos, D.A., Vakis, A., Papadaki, E., Karantanas, A. and Marias, K. (2024) The Current Status of Noninvasive Intracranial Pressure Monitoring: A Literature Review. Clinical Neurology and Neurosurgery, 239, Article ID: 108209. [Google Scholar] [CrossRef] [PubMed]
[2] Burkov, I.A., Pushkarev, A.V., Ryabikin, S.S., Shakurov, A.V., Tsiganov, D.I. and Zherdev, A.A. (2022) Numerical Simulation of Controlled Precision Cryosurgery Using Argon Joule-Thomson and Liquid Nitrogen Evaporation Cryoprobes. International Journal of Refrigeration, 133, 30-40. [Google Scholar] [CrossRef] 
[3] Xiao, P., Chen, Y.L., Du, X. and Wang, S.R. (2023) Mechanical Properties and Fine-Scale Damage Modelling of Sandstone under Freeze-Thaw Cycling. Journal of Geotechnical Engineering, 45, 805-815.
[4] Cai, S. and Suo, Z. (2011) Mechanics and Chemical Thermodynamics of Phase Transition in Temperature-Sensitive Hydrogels. Journal of the Mechanics and Physics of Solids, 59, 2259-2278. [Google Scholar] [CrossRef] 
[5] Lei, M., Liu, J., Xie, Y., Ma, Y., Xu, F. and Wei, Z. (2023) Biomimetic Viscoelastic Polymeric Hydrogels and Their Biomedical Applications. Scientia Sinica Vitae, 54, 428-446. [Google Scholar] [CrossRef] 
[6] Tao, R., Guo, Y., Li, J., Luo, J., Yang, Q., Chen, Y., et al. (2024) Expansion Mechanics of Hydrogel-Driven Metamaterials with Multiple Deformation Modes. Giant, 17, Article ID: 100243. [Google Scholar] [CrossRef] 
[7] Wang, X., Li, X. and Rao, W. (2024) Thermo-Mechanical Coupling Simulation Analysis of Cryotherapy on Real Anatomical Structure Lung Cancer Model. International Journal of Thermal Sciences, 198, Article ID: 108875. [Google Scholar] [CrossRef] 
[8] Li, N., Liu, Y., Xiong, K. and Bin, S.Z. (2019) Mechanical Analysis of Post-Traumatic Cerebral Haematoma on Intracranial Pressure Distribution. Chinese Journal of Clinical Anatomy, 37, 673-679.
[9] Dagro, A.M., Li, H., DiLeonardi, A.M. and Hogan, J.D. (2021) Nonlinearity of the Coefficient of Thermal Expansion in Brain Tissue. Journal of the Mechanical Behavior of Biomedical Materials, 123, Article ID: 104779. [Google Scholar] [CrossRef] [PubMed]
[10] Brighenti, R. and Cosma, M.P. (2022) Mechanics of Multi-Stimuli Temperature-Responsive Hydrogels. Journal of the Mechanics and Physics of Solids, 169, Article ID: 105045. [Google Scholar] [CrossRef] 
[11] Gao, Y., Li, Z.D., Zou, D.H., Ma, H.X., Chen, Y.J. and Zhong, L.W. (2021) Parametric Analysis of Craniocerebral Fisting Injuries. Journal of Forensic Medicine, 37, 344-350.
[12] Singh, G. and Chanda, A. (2021) Mechanical Properties of Whole-Body Soft Human Tissues: A Review. Biomedical Materials, 16, Article ID: 062004. [Google Scholar] [CrossRef] [PubMed]
[13] Kuriakose, M., Raetz, S., Hu, Q.M., Nikitin, S.M., Chigarev, N., Tournat, V., et al. (2017) Longitudinal Sound Velocities, Elastic Anisotropy, and Phase Transition of High-Pressure Cubic H2O Ice to 82 GPa. Physical Review B, 96, Article ID: 134122. [Google Scholar] [CrossRef] 
[14] Yu, B. (2017) Establishment and Validation of High Bionicity Cranio-Cerebral Collision Model. Master’s Thesis, Jilin University.
[15] Yuan, T., Shen, L. and Dini, D. (2023) Porosity-Permeability Tensor Relationship of Closely and Randomly Packed Fibrous Biomaterials and Biological Tissues: Application to the Brain White Matter. Acta Biomaterialia, 173, 123-134.
[16] He, L.M., Wu, J.G. and Lu, Y.C. (2004) Progress in Finite Element Modelling of Human Craniocerebral Injury. Chinese Journal of Trauma, No. 6, 64-67.
[17] Przekwas, A., Garimella, H.T., Tan, X.G., Chen, Z.J., Miao, Y., Harrand, V., et al. (2019) Biomechanics of Blast TBI with Time-Resolved Consecutive Primary, Secondary, and Tertiary Loads. Military Medicine, 184, 195-205. [Google Scholar] [CrossRef] [PubMed]
[18] Zhang, L., Yang, K.H. and King, A.I. (2001) Comparison of Brain Responses between Frontal and Lateral Impacts by Finite Element Modeling. Journal of Neurotrauma, 18, 21-30. [Google Scholar] [CrossRef] [PubMed]
[19] Taylor, P.A., Ludwigsen, J.S. and Ford, C.C. (2014) Investigation of Blast-Induced Traumatic Brain Injury. Brain Injury, 28, 879-895. [Google Scholar] [CrossRef] [PubMed]
[20] Kang, Y., Ma, T., Huang, X.C., Zhuang, Z., Liu, Z.L., Zeng, F. and Huang, C. (2023) Advances in Numerical Simulation of Cranial Blast Injuries: Modelling, Mechanical Mechanisms and Protection. Blast and Shock, 43, 3-38.

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