This study used digitized histology and MP-MRI from 48 patients with prostate cancer (PCa) to determine the relationship between complex histomorphometric features of PCa histology and MRI features. After prostatectomy, tissue samples were digitized, and co-registered to the T2 image. Slides were annotated by a pathologist, individual glands were identified using automated image processing algorithms, and histomorphometric features were calculated. Radiomic features were calculated to compare higher order texture and histological features. We found that lumen was more strongly associated with raw intensity, whereas epithelial features were more strongly associated with computed texture features.
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