Abstract #1160

Predicting the spatio-temporal evolution of tumor vasculature and cellularity following whole brain radiation therapy

David A Hormuth II¹, Angela Jarrett¹, and Thomas E Yankeelov^1,2,3,4

¹Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, United States, ²Department of Diagnostic Medicine, The University of Texas at Austin, Austin, TX, United States, ³Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, United States, ⁴Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX, United States

A fundamental challenge in the care of patients with brain tumors is the limitation of standard radiographic measurements to accurately evaluate, let alone predict, patient response. To address this challenge, we have developed a biophysical model of tumor growth, angiogenesis, and response to radiation therapy that is calibrated on a subject-specific basis using diffusion-weighted and dynamic contrast enhanced MRI data. We evaluated the predictive accuracy of the model in rats with C6 gliomas receiving whole brain radiation. The model accurately predicted future tumor volume (error ranged from 12.1 to 18.5%).

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