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Abstract #3798

An Automated Multiparametric MRI Quantitative Imaging Prostate Habitat Risk Scoring System for Defining External Beam Radiotherapy Boost Volumes

Radka Stoyanova1, Matthew C. Abramowitz1, Felix Chinea1, Deukwoo Kwon2, Isildinha M Reis2, Kyle R Padgett1, Sanoj Punnen3, Oleksandr N Kryvenko4, and Alan Pollack1

1Radiation Oncology, University of Miami, Miami, FL, United States, 2Statistics, University of Miami, Miami, FL, United States, 3Urology, University of Miami, Miami, FL, United States, 4Pathology, University of Miami, Miami, FL, United States

The standard of clinical care, Prostate Imaging, Reporting and Diagnosis System (PI-RADS), does not tap into the wealth of quantitative imaging information contained in the multiple sequences of mpMRI, nor does it elucidate intralesional spatial heterogeneity. A habitat risk score (HRS) approach that combines the quantitative information from the diffusion and perfusion mpMRI sequences is developed. HRS was devised in ten subcategories with increasing levels associated with a greater risk of harboring higher Gleason Score's and depicted as a heat map. The automated method is used to define radiotherapy (RT) boost volumes in the background of a randomized Phase II clinical trial.

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