Development of prediction models based on risk scores for clinically significant prostate cancer on MRI/TRUS fusion biopsy.

Background: The implementation of population screening for prostate cancer has increased the number of patients with biochemical suspicion. Prediction models may reduce the number of unnecessary biopsies by identifying patients who benefit the most from them. Our aim is to develop a prediction model that is easily applicable in patients with suspicion of prostate cancer in the urology clinic setting to avoid unnecessary biopsies.

An Update on Focal Therapy for Prostate Cancer.

Radical treatments and active surveillance are valid therapeutic approaches for low-risk prostate cancer. The oncologic effectiveness and morbidity of Radical Prostatectomy (RP) and radiotherapy have been broadly validated. Focal therapies pursue to reduce the morbidity observed after radical treatments, while preserving the oncologic effectiveness.