The main scope of this thesis is in improving diagnostic algorithms including advanced multiparametric MRI (MP-MRI) techniques to facilitate personalized care for PCa, as it enables more accurate diagnosis, grading and staging of an individual’s PCa. This thesis is comprised of a chapter on increasing the efficacy of PCa diagnosis using prostate biopsy (chapter 3), a chapter on the ability of diffusion-weighted MR imaging (DWI) in grading PCa (chapter 4) and a chapter on risk-stratified staging of PCa by MP-MRI, while also exploring pathological characteristics of the radical prostatectomy (RP) specimen to identify subjects at greatest risk of therapy failure, possibly benefitting from immediate adjuvant therapy (chapter 5).