Ricerc@Sapienza

We read with interest and greatly appreciated the article by Dr Bonekamp and colleagues (1) and the editorial by Dr Choyke (2) in the October 2018 issue of Radiology. Dr Bonekamp and colleagues (1) compare radiomic machine learning (RML) and mean apparent diffusion coefficient (ADC) against qualitative assessment based on the Prostate Imaging Reporting and Data System (PI-RADS) for characterizing prostate cancer. In their study, mean ADC and RML were better than qualitative assessment at classifying suspicious prostate lesions as clinically significant prostate cancer.