Predicting Brain Cancer Spread using MRI and a Computational Model

Date(s) - 04/04/2011
3:45 pm - 4:35 pm

Walter G. O'Dell, PhD, Assistant Professor in Radiation Oncology, UF

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.