Abstract #0706

Radio-pathomic mapping models trained with annotations from multiple pathologists reliably distinguish high-grade prostate cancer

Sean D McGarry¹, John D Bukowy², Kenneth Iczkowsk³, Allison K Lowman², Michael Brehler², Samuel Bobholz¹, Alex Barrington², Kenneth Jacobsohn⁴, Jackson Unteriner², Petar Duvnjak², Michael Griffin², Mark Hohenwalter², Tucker Keuter⁵, Wei Huang⁶, Tatjana Antic⁷, Gladell Paner⁷, Watchareepohn Palanghmonthip^3,8, Anjishnu Banerjee⁵, and Peter S LaViolette²

¹Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States, ²Radiology, Medical College of Wisconsin, Milwaukee, WI, United States, ³Pathology, Medical College of Wisconsin, Milwaukee, WI, United States, ⁴Urological Surgery, Medical College of Wisconsin, Milwaukee, WI, United States, ⁵Biostatistics, Medical College of Wisconsin, Milwaukee, WI, United States, ⁶Pathology, University of Wisconsin Madison, Madison, WI, United States, ⁷Pathology, University of Chicago, Chicago, IL, United States, ⁸Pathology, Chiang Mai University, Chiang Mai, Thailand

This study demonstrates that radio-pathomic maps of epithelium density derived from annotations performed by different pathologists distinguish high-grade prostate cancer from G3 and benign atrophy. In a test set of 5 patients epithelium density maps consistently demonstrate an AUC greater than 0.9 independent of which pathologist’s annotations trained the model or which pathologist’s annotations the model is applied to. The results in a larger test set largely mirror the results in the small test set. We also showed that radio-pathomic maps of epithelium density out-performed ADC maps independent of which observer was used to train the model.

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