Utility of machine learning of apparent diffusion coefficient (ADC) and T2-weighted (T2W) radiomic features in PI-RADS version 2.1 category 3 lesions to predict prostate cancer diagnosis.
Christopher S LimJorge Abreu-GomezRebecca ThornhillNick JamesAhmed Al KindiAndrew S LimNicola SchiedaPublished in: Abdominal radiology (New York) (2021)
Our results indicate ML of radiomic features extracted from T2W and ADC achieved at best moderate accuracy for determining which PI-RADS category 3 lesions represent PCa.