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.
authors.affiliation: Department of Chemical Engineering, Princeton University, Princeton, NJ, USA.
authors.forename: A R
authors.initials: AR
authors.lastname: Kansal
authors.forename: S
authors.initials: S
authors.lastname: Torquato
authors.forename: G R
authors.initials: GR
authors.lastname: Harsh IV
authors.forename: E A
authors.initials: EA
authors.lastname: Chiocca
authors.forename: T S
authors.initials: TS
authors.lastname: Deisboeck
mesh_terms: D000465:Algorithms; D001932:Brain Neoplasms / Q000473:pathology*; D002455:Cell Division; D008279:Magnetic Resonance Imaging; D008954:Models, Biological