A radiomics-clinical nomogram based on biparametric MRI for improved risk stratification of clinically significant prostate cancer
A machine-learning model that integrates clinical variables, Prostate Imaging Reporting and Data System scores, and radiomics features to distinguish clinically significant prostate cancer (csPCa) is developed and validated and provides a non-invasive tool for risk stratification before biopsy and helps to reduce unnec...