A model of tumor growth coupling a cellular biomodel with biomechanical simulations

机译：肿瘤生长模型耦合生物力学模拟蜂窝生物偶像

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The aim of this paper is to present the development of a multi-scale and multiphysics approach to tumor growth. An existing biomodel used for clinical tumor growth and response to treatment has been coupled with a biomechanical model. The macroscopic mechanical model is used to provide directions of least pressure in the tissue, which drives the geometrical evolution of the tumor predicted at the cellular level. The combined model has been applied to the case of brain and lung tumors. Results indicated that the coupled approach provides additional morphological information on the realistic tumor shape when the tumor is located in regions of tissue inhomogeneity. The approach might be used in oncosimulators for tumor types where the morphometry information plays a major role in the treatment and surgical planning.

机译：本文的目的是展示肿瘤生长的多规模和多体验方法的发展。用于临床肿瘤生长和对治疗反应的现有生物汇源结合了生物力学模型。宏观机械模型用于在组织中提供至少压力的最小压力的方向，其驱动在细胞水平上预测的肿瘤的几何演化。组合模型已应用于脑和肺肿瘤的情况。结果表明，当肿瘤位于组织不均匀性区域中时，耦合方法提供了关于现实肿瘤形状的额外形态学信息。该方法可用于肿瘤瘤的肿瘤类型，其中形态测量信息在治疗和外科计划中发挥着重要作用。

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《International Advanced Research Workshop on In Silico Oncology and Cancer Investigation》|2014年||共4页
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Rikhtegar Farhad; Kolokotroni Eleni; Stamatakos Georgios; Buchler Philippe;
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中图分类肿瘤学;
关键词
biomechanics; brain; cancer; cellular biophysics; finite element analysis; lung; tumours; biomechanical simulations; brain tumor biomechanical model; cellular biomodel; clinical tumor growth; coupled multiscale-multiphysics approach; geometrical tumor evolution; least tissue pressure; lung tumor biomechanical model; macroscopic mechanical model; morphometry information; multiphysics tumor growth approach; multiscale tumor growth approach; oncosimulators; realistic tumor shape; surgical planning; tissue inhomogeneity; treatment planning; tumor morphological information; tumor prediction; tumor treatment response; tumor types; Biological system modeling; Biomechanics; Europe; Finite element analysis; Planning; Surgery; Tumors;

机译：生物力学;脑部;癌症;细胞生物物理学;肺;肿瘤;生物力学模拟;脑肿瘤生物力学模型;临床肿瘤生长;耦合多尺度 - 多体液方法;几何肿瘤演化;肺肿瘤生物力学模型;肺肿瘤生物力学模型;肺肿瘤生物力学模型;肺肿瘤生物力学模型;肺肿瘤生物力学模型;宏观机械模型;形态学信息;多体肿瘤生长方法;血管瘤;素质肿瘤形状;手术规划;组织不均匀;治疗计划;肿瘤形态学信息;肿瘤治疗反应;肿瘤类型;生物系统建模;生物系统建模;生物系统建模;生物系统建模;生物力学;欧洲;有限元分析;规划;手术;肿瘤;

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专利

1. Coupling biomechanics to a cellular level model: An approach to patient-specific image driven multi-scale and multi-physics tumor simulation [J] . May Christian P., Kolokotroni Eleni, Stamatakos Georgios S., Progress in Biophysics and Molecular Biology: An International Review Journal . 2011,第1期

机译：将生物力学耦合到细胞水平模型：一种针对患者的图像驱动多尺度和多物理场肿瘤模拟的方法
2. Realistic simulation of the 3-D growth of brain tumors in MR images coupling diffusion with biomechanical deformation [J] . Clatz O., Sermesant M., Bondiau P.-Y., IEEE Transactions on Medical Imaging . 2005,第10期

机译：MR图像中扩散与生物力学变形耦合的脑肿瘤3-D生长的现实模拟
3. An optimized generic cerebral tumor growth modeling framework by coupling biomechanical and diffusive models with treatment effects [J] . Elazab Ahmed, Anter Ahmed M., Bai Hongmin, Applied Soft Computing . 2019,第期

机译：通过治疗效果耦合生物力学和扩散模型的优化通用脑肿瘤生长建模框架
4. A model of tumor growth coupling a cellular biomodel with biomechanical simulations [C] . Rikhtegar Farhad, Kolokotroni Eleni, Stamatakos Georgios, Proceedings of the 2014 6th International Advanced Research Workshop on In Silico Oncology and Cancer Investigation - The TUMOR Project Workshop . 2014

机译：肿瘤生长模型将细胞生物模型与生物力学模拟耦合在一起
5. Modeling and Simulation of Tumor Growth by Finite Element and Machine Learning Method [D] . Sun, Hao. 2021

机译：有限元和机器学习方法肿瘤生长的建模与仿真
6. Realistic Simulation of the 3D Growth of Brain Tumors in MR Images Coupling Diffusion with Biomechanical Deformation [O] . Olivier Clatz, Maxime Sermesant, Pierre-Yves Bondiau, -1

机译：MR图像与生物力学变形耦合扩散中脑肿瘤3D生长的逼真模拟
7. Realistic simulation of the 3d growth of brain tumors in mr images coupling diffusion with biomechanical deformation [O] . Olivier Clatz, Maxime Sermesant, Pierre-Yves Bondiau, 2005

机译：MR图像中扩散与生物力学变形耦合的脑肿瘤3d生长的逼真模拟

A model of tumor growth coupling a cellular biomodel with biomechanical simulations

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