Mechanically Coupled Reaction-Diffusion Model to Predict Glioma Growth: Methodological Details.

Hormuth DA, Eldridge SL, Weis JA, Miga MI, Yankeelov TE
Methods Mol Biol. 2018 1711: 225-241

PMID: 29344892 · PMCID: PMC6530463 · DOI:10.1007/978-1-4939-7493-1_11

Biophysical models designed to predict the growth and response of tumors to treatment have the potential to become a valuable tool for clinicians in care of cancer patients. Specifically, individualized tumor forecasts could be used to predict response or resistance early in the course of treatment, thereby providing an opportunity for treatment selection or adaption. This chapter discusses an experimental and modeling framework in which noninvasive imaging data is used to initialize and parameterize a subject-specific model of tumor growth. This modeling approach is applied to an analysis of murine models of glioma growth.

MeSH Terms (11)

Algorithms Animals Brain Brain Neoplasms Computer Simulation Female Glioma Magnetic Resonance Imaging Models, Biological Rats, Wistar Software

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