Publications by authors named "Patricia Castillo Acosta"
Article Synopsis
- The study investigates the clinical and radiologic characteristics that can predict clinically significant prostate cancer (csPCa) in men with PI-RADS 3 lesions identified via multiparametric MRI, addressing an unmet need for risk-adapted approaches in clinical practice.
- Data from 230 patients revealed that factors like PSA density (PSAd) and 4Kscore were significant predictors of csPCa, with PSAd showing the best performance in terms of prediction capability.
- The findings suggest that combining PSAd with clinical factors is more effective for risk stratification of csPCa in patients with PI-RADS 3 lesions, particularly highlighting the predictive strength of 4Kscore in those with low PSAd.
