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 journalArticle

66 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 languageEnglish (US)
Pages (from-to)119-127
Number of pages9
JournalBioSystems
Volume55
Issue number1-3
DOIs
StatePublished - Feb 1 2000

All Science Journal Classification (ASJC) codes

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

Keywords

  • Cellular automaton
  • Proliferative dynamics
  • Tumor modeling

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  • Cite this

    Kansal, A. R., Torquato, S., Harsh Iv, G. R., Chiocca, E. A., & Deisboeck, T. S. (2000). Cellular automaton of idealized brain tumor growth dynamics. BioSystems, 55(1-3), 119-127. https://doi.org/10.1016/S0303-2647(99)00089-1