Faculty Bibliography

PURPOSE/OBJECTIVE:To determine whether the presence of an ultrasound hypoechoic region at the site of a MRI region of interest (ROI) results in improved prostate cancer (PCa) detection and predicts clinically significant PCa on MRI - ultrasound fusion targeted prostate biopsy (MRF-TB). MATERIALS AND METHODS/METHODS:Between July 2011 and June 2017, 1058 men who underwent MRF-TB and systematic biopsy by a single surgeon were prospectively entered into an IRB-approved database. MRI ROI were identified and scored for suspicion by a single radiologist. Each MRI ROI was prospectively evaluated for presence of a hypoechoic region at the site (ROI-HyR) by the surgeon and graded as 0,1,2 representing none, poorly demarcated, or well demarcated, respectively. Interaction of MRI suspicion score (mSS) and US grade (USG), and prediction of cancer detection rate (CDR) by USG, was evaluated by univariate and multivariate analysis. RESULTS:For 672 men, overall and Gleason Score (GS)≥7 CDR were 61.2% and 39.6%, respectively. CDR for USG 0,1,2 were 46.2%, 58.6%, 76.0% (p<0.001) for any cancer and 18.7%, 35.2%, 61.1% (p<0.001) for GS≥7, respectively. For MRF-TB only, GS≥7 CDR for USG 0,1,2 was 12.8%, 25.7%, 52.0% (p<0.001), respectively. On univariate analysis, among mSS 2-4, USG was predictive of GS≥7 CDR. Multivariable regression analysis revealed USG, PSAD, and mSS were predictive of GS≥7 PCa on MRF-TB. CONCLUSIONS:Ultrasound findings at the site of MRI ROI independently predict the likelihood of GS≥7 PCa, as men with a well demarcated ROI-HyR at the time of MRF-TB have a higher risk than men without.

INTRODUCTION/BACKGROUND:Penectomy for PC is useful in staging, disease prognosis, and treatment. Limited studies have evaluated its surgical complications. We sought to assess these complications and determine predictive models to create a novel risk score for penectomy complications. PATIENTS AND METHODS/METHODS:A retrospective review of patients undergoing PC surgical management from the 2005-2016 American College of Surgeons National Surgical Quality Improvement Program was performed. Data were queried for partial and total penectomy among those with PC. To develop predictive models of complications, we fit LASSO logistic, random forest, and stepwise logistic models to training data using cross-validation, demographic, comorbidity, laboratory, and wound characteristics as candidate predictors. Each model was evaluated on the test data using receiver operating characteristic curves. A novel risk score was created by rounding coefficients from the LASSO logistic model. RESULTS:A total of 304 cases met the inclusion criteria. Overall incidence of penectomy complications was 19.7%, where urinary tract infection (3.0%), superficial surgical site infection (3.0%), and bleeding requiring transfusion (3.9%) were most common. LASSO logistic, random forest, and stepwise logistic models for predicting complications had area under the curve (AUC) [95% confidence interval] values of 0.66 [0.52-0.81], 0.73 [0.63-0.83], and 0.59 [0.45-0.74], respectively. Eleven variables were included in the risk score. The LASSO model-derived risk score had moderately good performance (area under the curve [95% confidence interval] 0.74 [0.66-0.82]). Using a cutoff point of 6, the score attains sensitivity 0.58, specificity 0.74, and kappa 0.26. CONCLUSION/CONCLUSIONS:PC management through penectomy is associated with appreciable complications rates. Predictive models of penectomy complications performed moderately well. Our novel prognostic risk score may allow for improved preoperative counseling and risk stratification of men undergoing surgical management of PC.