Literature DB >> 10745115

Cellular automaton of idealized brain tumor growth dynamics.

A R Kansal1, S Torquato, G R Harsh IV, E A Chiocca, T S Deisboeck.   

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.

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Year:  2000        PMID： 10745115     DOI： 10.1016/s0303-2647(99)00089-1

Source DB:  PubMed          Journal:  Biosystems        ISSN： 0303-2647            Impact factor:   1.973


  27 in total

Review 1.  Predictive oncology: a review of multidisciplinary, multiscale in silico modeling linking phenotype, morphology and growth.

Authors:  Sandeep Sanga; Hermann B Frieboes; Xiaoming Zheng; Robert Gatenby; Elaine L Bearer; Vittorio Cristini
Journal:  Neuroimage       Date:  2007-06-07       Impact factor: 6.556

2.  Texture analysis improves level set segmentation of the anterior abdominal wall.

Authors:  Zhoubing Xu; Wade M Allen; Rebeccah B Baucom; Benjamin K Poulose; Bennett A Landman
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

Review 3.  Clinical implications of in silico mathematical modeling for glioblastoma: a critical review.

Authors:  Maria Protopapa; Anna Zygogianni; Georgios S Stamatakos; Christos Antypas; Christina Armpilia; Nikolaos K Uzunoglu; Vassilis Kouloulias
Journal:  J Neurooncol       Date:  2017-10-28       Impact factor: 4.130

4.  A checkpoint-oriented cell cycle simulation model.

Authors:  David Bernard; Odile Mondesert; Aurélie Gomes; Yves Duthen; Valérie Lobjois; Sylvain Cussat-Blanc; Bernard Ducommun
Journal:  Cell Cycle       Date:  2019-04-04       Impact factor: 4.534

5.  A High-Performance Cellular Automaton Model of Tumor Growth with Dynamically Growing Domains.

Authors:  Jan Poleszczuk; Heiko Enderling
Journal:  Appl Math (Irvine)       Date:  2014-01

Review 6.  In silico cancer modeling: is it ready for prime time?

Authors:  Thomas S Deisboeck; Le Zhang; Jeongah Yoon; Jose Costa
Journal:  Nat Clin Pract Oncol       Date:  2008-10-14

7.  Promotion of variant human mammary epithelial cell outgrowth by ionizing radiation: an agent-based model supported by in vitro studies.

Authors:  Rituparna Mukhopadhyay; Sylvain V Costes; Alexey V Bazarov; William C Hines; Mary Helen Barcellos-Hoff; Paul Yaswen
Journal:  Breast Cancer Res       Date:  2010-02-10       Impact factor: 6.466

8.  Multiscale agent-based cancer modeling.

Authors:  Le Zhang; Zhihui Wang; Jonathan A Sagotsky; Thomas S Deisboeck
Journal:  J Math Biol       Date:  2008-09-12       Impact factor: 2.259

9.  The role of transforming growth factor-beta-mediated tumor-stroma interactions in prostate cancer progression: an integrative approach.

Authors:  David Basanta; Douglas W Strand; Ralf B Lukner; Omar E Franco; David E Cliffel; Gustavo E Ayala; Simon W Hayward; Alexander R A Anderson
Journal:  Cancer Res       Date:  2009-08-25       Impact factor: 12.701

10.  Introduction of hypermatrix and operator notation into a discrete mathematics simulation model of malignant tumour response to therapeutic schemes in vivo. Some operator properties.

Authors:  Georgios S Stamatakos; Dimitra D Dionysiou
Journal:  Cancer Inform       Date:  2009-10-21
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