Institute for Surgical Technology and Biomechanics, University of Bern, Stauffacherstr. 78, CH-3014 Bern, Switzerland.
Prog Biophys Mol Biol. 2011 Oct;107(1):193-9. doi: 10.1016/j.pbiomolbio.2011.06.007. Epub 2011 Jul 1.
Modeling of tumor growth has been performed according to various approaches addressing different biocomplexity levels and spatiotemporal scales. Mathematical treatments range from partial differential equation based diffusion models to rule-based cellular level simulators, aiming at both improving our quantitative understanding of the underlying biological processes and, in the mid- and long term, constructing reliable multi-scale predictive platforms to support patient-individualized treatment planning and optimization. The aim of this paper is to establish a multi-scale and multi-physics approach to tumor modeling taking into account both the cellular and the macroscopic mechanical level. Therefore, an already developed biomodel of clinical tumor growth and response to treatment is self-consistently coupled with a biomechanical model. Results are presented for the free growth case of the imageable component of an initially point-like glioblastoma multiforme tumor. The composite model leads to significant tumor shape corrections that are achieved through the utilization of environmental pressure information and the application of biomechanical principles. Using the ratio of smallest to largest moment of inertia of the tumor material to quantify the effect of our coupled approach, we have found a tumor shape correction of 20% by coupling biomechanics to the cellular simulator as compared to a cellular simulation without preferred growth directions. We conclude that the integration of the two models provides additional morphological insight into realistic tumor growth behavior. Therefore, it might be used for the development of an advanced oncosimulator focusing on tumor types for which morphology plays an important role in surgical and/or radio-therapeutic treatment planning.
肿瘤生长的建模已经根据不同的方法进行了研究,这些方法涉及不同的生物复杂性水平和时空尺度。数学处理方法的范围从基于偏微分方程的扩散模型到基于规则的细胞水平模拟器,旨在提高我们对潜在生物学过程的定量理解,并在中长期内构建可靠的多尺度预测平台,以支持个体化患者的治疗计划和优化。本文的目的是建立一种多尺度、多物理的肿瘤建模方法,同时考虑细胞和宏观力学水平。因此,已经开发了一种临床肿瘤生长和对治疗反应的生物模型,该模型与生物力学模型进行了自洽耦合。本文针对初始点状胶质母细胞瘤多形性肿瘤的可成像部分的自由生长情况展示了结果。通过利用环境压力信息和应用生物力学原理,复合模型实现了显著的肿瘤形状校正。通过肿瘤材料最小惯性矩与最大惯性矩的比值来量化我们的耦合方法的效果,我们发现与没有优先生长方向的细胞模拟相比,通过将生物力学与细胞模拟器耦合,肿瘤形状的校正率达到了 20%。我们得出结论,两个模型的集成为真实肿瘤生长行为提供了额外的形态学见解。因此,它可以用于开发一种先进的肿瘤模拟器,该模拟器专注于形态在手术和/或放射治疗计划中起重要作用的肿瘤类型。