Predicting cancer detection rates from multiparametric prostate MRI: Beyond the PI-RADS classification system.

Introduction: Although the Prostate Imaging-Reporting and Data System (PI RADS) categorization represents the standard method for assessing the risk of prostate cancer using prostate magnetic resonance imaging (MRI), there exists wide variation in cancer detection rates (CDRs) in real-world practice. We therefore evaluated the association of clinical and radiographic features with CDRs and developed a predictive model to improve clinical management.

Methods: We identified men aged 18-89 years with elevated prostate-specfic antigen (PSA) or on active surveillance for prostate cancer who underwent MRI-ultrasound (US) fusion biopsy or in-bore MRI-targeted biopsy.

How I Do It: Teaching holmium laser enucleation of the prostate (HoLEP).

Holmium laser enucleation of the prostate (HoLEP) is considered a size-independent technique to treat benign prostatic hyperplasia. This safe and effective procedure is increasingly being adopted in urology training programs worldwide, yet limited teaching strategies have been described. Endoscopic handling during HoLEP allows for a simultaneous interaction between the surgeon and trainee, facilitating a guided teaching strategy with increasing difficulty as experience grows.

The association of patient and disease characteristics with the overtreatment of low-risk prostate cancer from 2010 to 2016.

Background: Although active surveillance is the preferred management for low-risk prostate cancer (PCa), some men remain at risk of overtreatment with definitive local therapy. We hypothesized that baseline characteristics may be associated with overtreatment and represent a potential source of health disparities. We therefore examined the associations of patient and disease characteristics with the surgical overtreatment of low-risk PCa.