Cellular automaton of idealized brain tumor growth dynamics

A. R. Kansal; S. Torquato; G. R. Harsh Iv; E. A. Chiocca; T. S. Deisboeck

doi:10.1016/S0303-2647(99)00089-1

Cellular automaton of idealized brain tumor growth dynamics

A. R. Kansal, S. Torquato, G. R. Harsh Iv, E. A. Chiocca, T. S. Deisboeck

Research output: Contribution to journal › Article › peer-review

70 Scopus citations

Abstract

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. Copyright (C) 2000 Elsevier Science Ireland Ltd.

Original language	English (US)
Pages (from-to)	119-127
Number of pages	9
Journal	BioSystems
Volume	55
Issue number	1-3
DOIs	https://doi.org/10.1016/S0303-2647(99)00089-1
State	Published - Feb 2000
Externally published	Yes

Keywords

Cellular automaton
Proliferative dynamics
Tumor modeling

ASJC Scopus subject areas

Statistics and Probability
Modeling and Simulation
Biochemistry, Genetics and Molecular Biology(all)
Applied Mathematics

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title = "Cellular automaton of idealized brain tumor growth dynamics",

abstract = "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. Copyright (C) 2000 Elsevier Science Ireland Ltd.",

keywords = "Cellular automaton, Proliferative dynamics, Tumor modeling",

author = "Kansal, {A. R.} and S. Torquato and {Harsh Iv}, {G. R.} and Chiocca, {E. A.} and Deisboeck, {T. S.}",

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AU - Torquato, S.

AU - Harsh Iv, G. R.

AU - Chiocca, E. A.

AU - Deisboeck, T. S.

PY - 2000/2

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AB - 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. Copyright (C) 2000 Elsevier Science Ireland Ltd.

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KW - Proliferative dynamics

KW - Tumor modeling

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Cellular automaton of idealized brain tumor growth dynamics

Abstract

Keywords

ASJC Scopus subject areas

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