Preoperative predictive model of recovery of urinary continence after radical prostatectomy.

Objective: To build a predictive model of urinary continence recovery after radical prostatectomy (RP) that incorporates magnetic resonance imaging (MRI) parameters and clinical data.

Patients And Methods: We conducted a retrospective review of data from 2,849 patients who underwent pelvic staging MRI before RP from November 2001 to June 2010. We used logistic regression to evaluate the association between each MRI variable and continence at 6 or 12 months, adjusting for age, body mass index (BMI) and American Society of Anesthesiologists (ASA) score, and then used multivariable logistic regression to create our model.

Combining smoking information and molecular markers improves prognostication in patients with urothelial carcinoma of the bladder.

Objectives: Tissue-based markers improve the accuracy of prediction models in urothelial carcinoma of the bladder (UCB). Current smoking status and cumulative exposure also affect outcomes. To evaluate whether the combination of molecular markers and smoking features further improved the prognostication of patients who underwent radical cystectomy (RC) for UCB.