Cellular automaton of idealized brain tumor growth dynamics
Cellular automaton of idealized brain tumor growth dynamics
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DOI：
10.1016/s0303-2647(99)00089-1
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发表时间：
2000-02-01
期刊：
影响因子：
1.6
通讯作者：
Deisboeck, TS
中科院分区：
文献类型：
--
作者：
Kansal, AR;Torquato, S;Deisboeck, TS
提出了一种新的细胞自动机脑肿瘤生长模型。该模型能够模拟Gompertzian肿瘤生长超过近三个数量级的半径，仅使用四个微观参数。预测的组成和生长速率与从现有医学文献中汇总的测试病例一致。该模型结合了几个新的功能，改进了以前的模型，并允许扩展到研究肿瘤生长的其他重要特性，如克隆竞争。(C)2000爱思唯尔科学爱尔兰有限公司保留所有权利。
A novel cellular automaton model of proliferative brain tumor growth has been developed. This model is able to simulate Gompertzian tumor growth over nearly three orders of magnitude in radius using only four microscopic parameters. The predicted composition and growth rates are in agreement with a test case pooled from the available medical literature. The model incorporates several new features, improving previous models, and also allows ready extension to study other important properties of tumor growth, such as clonal competition. (C) 2000 Elsevier Science Ireland Ltd. All rights reserved.