Abstract #0672

Predictive Cytological Topography (PiCT): a Radiopathomics Approach to Mapping Prostate Cancer Cellularity

Amy Kaczmarowski¹, Kenneth A Iczkowski², Sarah L Hurrell¹, Sean D McGarry¹, Kenneth Jacobsohn³, William A Hall⁴, Mark Hohenwalter¹, William See³, and Peter S LaViolette¹

¹Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, ²Pathology, Medical College of Wisconsin, Milwaukee, WI, United States, ³Urology, Medical College of Wisconsin, Milwaukee, WI, United States, ⁴Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI, United States

This study combines radiographic images and pathological microscopy with machine learning to generate predictive maps of pathological features (i.e. new contrasts) based on segmented histological features. Predictive cytological topography (PiCT) maps of cellularity were utilized to detect additional pathologically confirmed high-grade prostate cancer tumors missed by radiologists.

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