| Abstract | Gliomas are notoriously aggressive primary brain tumors with limited treatment options. A primary reason for their therapeutic resistance is the diffuse invasion of individual gliomas cells throughout the normal appearing brain tissue peripheral to any abnormality seen on imaging. We have developed a series of bio-mathematical models to quantify this diffuse invasion in individual patients. I will discuss the application of such modeling to patient-specific imaging (e.g., MRI, PET) to illustrate how these models can be used to not only predict the extent of diffuse invasion but also quantify and predict response to therapy in individual patients. |
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