A Novel Machine Learning-based Predictive Model of Clinically Significant Prostate Cancer and Online Risk Calculator.

Objective: To create a machine-learning predictive model combining prostate imaging-reporting and data system (PI-RADS) score, PSA density, and clinical variables to predict clinically significant prostate cancer (csPCa).

Methods: We evaluated a cohort of patients who underwent prostate biopsy for suspected prostate cancer (PCa) in New Zealand, Australia, and Switzerland. We collected data on age, body mass index (BMI), PSA level, prostate volume, PSA density (PSAD), PI-RADS scores, previous biopsy, and corresponding histology results.

A Review of Laser Treatment for Symptomatic BPH (Benign Prostatic Hyperplasia).

Benign prostatic hyperplasia (BPH) is the predominant cause of bladder outflow obstruction and is associated with significant morbidity. Surgical removal of adenoma has been a key treatment principle for alleviation of obstruction. Lasers have been used as an alternative to transurethral resection of the prostate (TURP), due to the higher complications of the latter procedure, since the early 1990s.