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Quantifying the Role of Anisotropic Invasion in Human Glioblastoma

  • R. Sodt
  • R. Rockne
  • M. L. Neal
  • I. Kalet
  • K R. SwansonEmail author
Chapter

Abstract

Gliomas are highly invasive primary brain tumors, notorious for their recurrence after treatment, and are considered uniformly fatal. Confounding progress is the fact that there is a diffuse extent of tumor cell invasion well beyond what is visible on routine clinical imaging such as MRI. By incorporating diffusion tensor imaging (DTI) which shows the directional orientation of fiber tracts in the brain, we compare patient-specific model simulations to observed tumor growth for two patients, visually, volumetrically and spatially to quantify the effect of anisotropic diffusion on the ability to predict the actual shape and diffuse invasion of tumor as observed on MRI. The ultimate goal is the development of the best patient-specific tool for predicting brain tumor growth and invasion in individual patients, which can aid in treatment planning.

Keywords

Glioblastoma Brain tumor Anisotropic invasion Radiotherapy Tumor growth Clinical imaging Cell migration Diffusion tensor imaging Axonal fibers Biopsy Mathematical modeling Partial differential equation Logistic growth 

Notes

Acknowledgments

We gratefully acknowledge the generous and timely support of the McDonnell Foundation, the Dana Foundation, the Academic Pathology Fund, the NIH/NINDS R01 NS060752 and the NIH/NCI Moffitt-UW Physical Sciences Oncology Center U54 CA143970.

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Copyright information

© Springer New York 2014

Authors and Affiliations

  • R. Sodt
    • 1
  • R. Rockne
    • 2
    • 3
  • M. L. Neal
    • 4
  • I. Kalet
    • 5
  • K R. Swanson
    • 2
    • 3
    Email author
  1. 1.Department of Computer ScienceUniversity of WashingtonSt. SeattleUSA
  2. 2.Department of Neurological SurgeryNorthwestern University, Feinberg School of MedicineChicagoUSA
  3. 3.Department of Applied MathematicsUniversity of WashingtonWashingtonUSA
  4. 4.Department of Pathology, Department of Medical Education and Biomedical InformaticsUniversity of WashingtonWashingtonUSA
  5. 5.Department of Radiation Oncology and Department of Medical Education and Biomedical InformaticsUniversity of WashingtonWashingtonUSA

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