Abstract #0343

Radiomics measured with mpMRI predicts histopathological and genomics markers of prostate cancer aggressiveness.

Stefanie Hectors¹, Mathew Cherny², Sara Lewis^1,2, Kanika Mahajan³, Ardeshir Rastinehad³, Ashutosh Tewari³, and Bachir Taouli^1,2

¹Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, United States, ²Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States, ³Department of Urology, Icahn School of Medicine at Mount Sinai, New York, NY, United States

The goal of this study was to assess the association of multiparametric MRI (mpMRI) radiomic features with histopathological and genomic markers of prostate cancer (PCa) aggressiveness. mpMRI histogram and texture features showed multiple significant correlations with Gleason score, modified Gleason score Grade Group and genomics Decipher risk score. General linear models showed high accuracy for prediction of the histopathological and genomics features (accuracy range 0.77-0.94). The results indicate that MRI radiomics analysis is promising for noninvasive assessment of PCa aggressiveness on the histopathological and genomics levels.

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