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Abstract #2647

CADOnc: A Computerized Decision Support System for Quantifying Radiation Therapy Changes in the Prostate Via Multi-Parametric MRI

Satish Viswanath1, Jonathan Chappelow1, Pallavi Tiwari1, John Kurhanewicz2, Anant Madabhushi1

1Biomedical Engineering, Rutgers University, Piscataway, NJ, United States; 2University of California, San Francisco

We present CADOnc, a novel computerized segmentation, registration, and classification framework for quantifying changes in the prostate due to radiation therapy (RT) via multi-parametric MRI (Magnetic Resonance Spectroscopy, T2-weighted, Diffusion-weighted). On a small preliminary cohort of patient data, CADOnc accurately quantified changes in specific multi-parametric MRI biomarkers, for both pre- and post-RT data. Further, quantitatively integrating these markers shows excellent utility in (1) predicting disease extent on pre-RT data, and (2) quantifying both residual and possible new foci of disease, post-RT.