Grant ID RP220225
Awarded On February 16, 2022
Title Imaging-informed, biophysical computational modeling to forecast tumor progression in gliomas
Program Academic Research
Award Mechanism Individual Investigator Research Awards for Computational Biology
Institution/Organization The University of Texas at Austin
Principal Investigator/Program Director David Hormuth
Cancer Sites Brain and Other Nervous System
Contracted Amount $1,193,238
Lay Summary

The vision for this proposal is to develop and validate a clinical-computational framework to predict and spatially-map more aggressive and treatment-resistant regions to enable personalized treatment in patients receiving radiation therapy for gliomas. We seek to accomplish this goal through the integration of multiparametric magnetic resonance imaging (mpMRI) data with mechanism-based mathematical modeling to predict disease response. This will enable clinicians to forecast tumor behavior during the course of radiotherapy (RT) instead of merely assessing post treatment.

The ability to predict spatiotemporal disease progression creates a paradigm shift as it enables timely adaptations of t...

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