Mechanically coupled reaction-diffusion model to predict glioma growth: Methodological details

David A. Hormuth, Stephanie L. Eldridge, Jared A. Weis, Michael I. Miga, Thomas E. Yankeelov

Research output: Chapter in Book/Report/Conference proceedingChapter

7 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Title of host publicationMethods in Molecular Biology
PublisherHumana Press Inc.
Pages225-241
Number of pages17
DOIs
StatePublished - Jan 1 2018

Publication series

NameMethods in Molecular Biology
Volume1711
ISSN (Print)1064-3745

Fingerprint

Glioma
Growth
Neoplasms
Patient Care
Therapeutics

Keywords

  • Biophysical stress
  • Cancer
  • Diffusion
  • Finite difference method
  • Invasion
  • MRI

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

Cite this

Hormuth, D. A., Eldridge, S. L., Weis, J. A., Miga, M. I., & Yankeelov, T. E. (2018). Mechanically coupled reaction-diffusion model to predict glioma growth: Methodological details. In Methods in Molecular Biology (pp. 225-241). (Methods in Molecular Biology; Vol. 1711). Humana Press Inc.. https://doi.org/10.1007/978-1-4939-7493-1_11

Mechanically coupled reaction-diffusion model to predict glioma growth : Methodological details. / Hormuth, David A.; Eldridge, Stephanie L.; Weis, Jared A.; Miga, Michael I.; Yankeelov, Thomas E.

Methods in Molecular Biology. Humana Press Inc., 2018. p. 225-241 (Methods in Molecular Biology; Vol. 1711).

Research output: Chapter in Book/Report/Conference proceedingChapter

Hormuth, DA, Eldridge, SL, Weis, JA, Miga, MI & Yankeelov, TE 2018, Mechanically coupled reaction-diffusion model to predict glioma growth: Methodological details. in Methods in Molecular Biology. Methods in Molecular Biology, vol. 1711, Humana Press Inc., pp. 225-241. https://doi.org/10.1007/978-1-4939-7493-1_11
Hormuth DA, Eldridge SL, Weis JA, Miga MI, Yankeelov TE. Mechanically coupled reaction-diffusion model to predict glioma growth: Methodological details. In Methods in Molecular Biology. Humana Press Inc. 2018. p. 225-241. (Methods in Molecular Biology). https://doi.org/10.1007/978-1-4939-7493-1_11
Hormuth, David A. ; Eldridge, Stephanie L. ; Weis, Jared A. ; Miga, Michael I. ; Yankeelov, Thomas E. / Mechanically coupled reaction-diffusion model to predict glioma growth : Methodological details. Methods in Molecular Biology. Humana Press Inc., 2018. pp. 225-241 (Methods in Molecular Biology).
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