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Abstract #0715

Gleason Probability Maps: A Radiomics Tool for Mapping Tumor Likelihood in MRI Space

Sean D McGarry1, Sarah L Hurrell2, Mark Hohenwalter2, Petar Duvnjak2, Michael Griffin2, Kenneth A Iczkowski3, Kenneth Jacobsohn4, Andrew Nencka2, and Peter LaViolette2

1Biophysics, Medical College of Wisconsin, Wawautosa, WI, United States, 2Radiology, Medical College of Wisconsin, Wawautosa, WI, United States, 3Pathology, Medical College of Wisconsin, Wawautosa, WI, United States, 4Urologic Surgery, Medical College of Wisconsin, Wawautosa, WI, United States

Intra and intertumoral heterogeneities are well recognized in prostate cancer. These differences affect the macroscopic imaging contrast characteristics of tumor and surrounding tissue. This study aims to generate three new, interpretable image contrasts by combining radiomic profiling with annotated, whole mount pathology. We show that these new image contrasts, Gleason probability maps, are indicative of prostate cancer in naïve data.

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