Simulated brain tumor growth dynamics using a three-dimensional cellular automaton
Simulated brain tumor growth dynamics using a three-dimensional cellular automaton
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DOI：
10.1006/jtbi.2000.2000
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发表时间：
2000-04-21
影响因子：
2
通讯作者：
Deisboeck, TS
中科院分区：
文献类型：
--
作者：
Kansal, AR;Torquato, S;Deisboeck, TS
我们已经开发了一种新颖的和通用的脑肿瘤生长的三维元胞自动机模型。我们表明，宏观肿瘤的行为，可以逼真地模拟使用微观参数。仅使用四个参数，该模型模拟Gompertzian生长的肿瘤生长超过近三个数量级的半径。它还预测了在选定的时间点与医学文献一致的肿瘤的组成和动力学。我们还通过显示具有不同基因型的第二个肿瘤克隆的出现和最终的主导地位来证明该模型的灵活性。该模型结合了几个重要的和新颖的功能，无论是在规则管理的模型和模型的基础结构。其中包括一个新的定义，如何建模增殖和非增殖细胞，一个各向同性的晶格，和一个自适应网格晶格。(C)北京大学出版社.
We have developed a novel and versatile three-dimensional cellular automaton model of brain tumor growth. We show that macroscopic tumor behavior can be realistically modeled using microscopic parameters. Using only four parameters, this model simulates Gompertzian growth for a tumor growing over nearly three orders of magnitude in radius. It also predicts the composition and dynamics of the tumor at selected time points in agreement with medical literature. We also demonstrate the flexibility of the model by showing the emergence, and eventual dominance, of a second tumor clone with a different genotype. The model incorporates several important and novel features, both in the rules governing the model and in the underlying structure of the model. Among these are a new definition of how to model proliferative and non-proliferative cells, an isotropic lattice, and an adaptive grid lattice. (C) 2000 Academic Press.