Simulated brain tumor growth dynamics using a three-dimensional cellular automaton

被引:307
作者
Kansal, AR
Torquato, S [1 ]
Harsh, GR
Chiocca, EA
Deisboeck, TS
机构
[1] Princeton Univ, Dept Chem Engn, Princeton, NJ 08544 USA
[2] Princeton Univ, Dept Chem, Princeton, NJ 08544 USA
[3] Princeton Univ, Princeton Mat Inst, Princeton, NJ 08544 USA
[4] Stanford Univ, Sch Med, Dept Neurosurg, Stanford, CA 94305 USA
[5] Harvard Univ, Sch Med, Massachusetts Gen Hosp E, Neurosurg Serv, Charlestown, MA 02129 USA
[6] Harvard Univ, Sch Med, Massachusetts Gen Hosp E, Brain Tumor Ctr, Charlestown, MA 02129 USA
[7] Harvard Univ, Sch Med, Massachusetts Gen Hosp E, Mol Neurooncol Lab, Charlestown, MA 02129 USA
[8] Univ Munich, Dept Neurosurg, D-80539 Munich, Germany
关键词
D O I
10.1006/jtbi.2000.2000
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页码:367 / 382
页数:18
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