Dynamics of a model for brain tumors reveals a small window for therapeutic intervention

Kristin Swanson, Ellsworth C. Alvord, J. D. Murray

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

Glioblastomas are the most malignant and most common glioma, a type of primary brain tumor with the unfortunate ability to recur despite extensive treatment. Even with the advent of medical imaging technology during the last two decades, successful treatment of glioblastomas has remained elusive. It has become increasingly clear that, along with the proliferative potential of these neoplasms, it is the subclinically diffuse invasion of glioblastomas that primarily contributes to their resistance to treatment. In otherwords, the inevitable recurrence of these tumors is the result of diffusely invaded but invisible tumor cells peripheral to the abnormal signal on medical imaging and to the current limits of surgical, radiological and chemical treatments. Mathematical modeling has presented itself as a viable tool for studying complex biological processes (Murray, 1993, 2002). We have developed a mathematical model that portrays the growth and extension of theoretical glioblastoma cells in a matrix that accurately describes the brain's anatomy to a resolution of 1 cu mm (Swanson, et al, 1999, 2000, 2002, 2003a, 2003b). The model assumes that only two factors need be considered for such predictions: net growth rate and infiltrative ability. The model has already provided illustrations of theoretical glioblastomas that not only closely resemble the MRIs (magnetic resonance imaging) of actual patients, but also show the distribution of the diffusely infiltrating cells.

Original languageEnglish (US)
Pages (from-to)289-295
Number of pages7
JournalDiscrete and Continuous Dynamical Systems - Series B
Volume4
Issue number1
StatePublished - Feb 2004
Externally publishedYes

Fingerprint

Brain Tumor
Tumors
Brain
Medical imaging
Medical Imaging
Tumor
Cell
Magnetic resonance
Magnetic Resonance Imaging
Invasion
Anatomy
Cells
Model
Mathematical Modeling
Recurrence
Mathematical models
Imaging techniques
Mathematical Model
Prediction

Keywords

  • Brain tumor
  • Invasion
  • Mathematical model

ASJC Scopus subject areas

  • Mathematics(all)
  • Discrete Mathematics and Combinatorics
  • Applied Mathematics

Cite this

Dynamics of a model for brain tumors reveals a small window for therapeutic intervention. / Swanson, Kristin; Alvord, Ellsworth C.; Murray, J. D.

In: Discrete and Continuous Dynamical Systems - Series B, Vol. 4, No. 1, 02.2004, p. 289-295.

Research output: Contribution to journalArticle

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