Predicting Brain Cancer Spread using MRI and a Computational Model

04/04/2011 - 3:45pm to 4:35pm
Walter G. O'Dell, PhD, Assistant Professor in Radiation Oncology, UF
Communicore C1-4

The most common type of primary brain cancer is glioblastoma for which, when using our best combination of chemotherapy, surgical resection and radiation therapy, the 5-year survival is a disheartening 2%. Surgery and radiation therapy are impeded by our inability to identify areas where microscopic tumor infiltration has occurred. The goal of this study is to refine, validate and implement a computational tool that uses magnetic resonance diffusion tensor imaging to model the microscopic spread of cancer cells through the brain to create patient-specific treatment plans for glioblastoma.

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