A novel nomogram predicting lymph node invasion among patients with prostate cancer: The importance of extracapsular extension at multiparametric magnetic resonance imaging.

PURPOSE: To develop a novel risk tool that allows the prediction of lymph node invasion (LNI) among patients with prostate cancer (PCa) treated with robot-assisted radical prostatectomy (RARP) and extended pelvic lymph node dissection (ePLND). METHODS: We retrospectively identified 742 patients treated with RARP + ePLND at a single center between 2012 and 2018. All patients underwent multiparametric magnetic resonance imaging (mpMRI) and were diagnosed with targeted biopsies. First, the nomogram published by Briganti et al. was validated in our cohort. Second, three novel multivariable logistic regression models predicting LNI were developed: (1) a complete model fitted with PSA, ISUP grade groups, percentage of positive cores (PCP), extracapsular extension (ECE), and Prostate Imaging Reporting and Data System (PI-RADS) score; (2) a simplified model where ECE score was not included (model 1); and (3) a simplified model where PI-RADS score was not included (model 2). The predictive accuracy of the models was assessed with the receiver operating characteristic-derived area under the curve (AUC). Calibration plots and decision curve analyses were used. RESULTS: Overall, 149 patients (20%) had LNI. In multivariable logistic regression models, PSA (OR: 1.03; P= 0.001), ISUP grade groups (OR: 1.33; P= 0.001), PCP (OR: 1.01; P= 0.01), and ECE score (ECE 4 vs. 3 OR: 2.99; ECE 5 vs. 3 OR: 6.97; P< 0.001) were associated with higher rates of LNI. The AUC of the Briganti et al. model was 74%. Conversely, the AUC of model 1 vs. model 2 vs. complete model was, respectively, 78% vs. 81% vs. 81%. Simplified model 1 (ECE score only) was then chosen as the best performing model. A nomogram to calculate the individual probability of LNI, based on model 1 was created. Setting our cut-off at 5% we missed only 2.6% of LNI patients. CONCLUSIONS: We developed a novel nomogram that combines PSA, ISUP grade groups, PCP, and mpMRI-derived ECE score to predict the probability of LNI at final pathology in RARP candidates. The application of a nomogram derived cut-off of 5% allows to avoid a consistent number of ePLND procedures, missing only 2.6% of LNI patients. External validation of our model is needed.

Adherence to Guideline Recommendations for Perioperative Chemotherapy in Patients with pN2-3 M0 Squamous Cell Carcinoma of the Penis: Temporal Trends and Survival Outcomes.

AIMS: To analyse contemporary perioperative chemotherapy (CHT) guideline adherence rates for pN2-3 M0 squamous cell carcinoma of the penis, as well as CHT association with cancer-specific (CSM) and other-cause mortality (OCM). MATERIALS AND METHODS: Within the Surveillance, Epidemiology, and End Results databases, 311 pN2-3 M0 squamous cell carcinoma of the penis patients treated with inguinal lymph node dissection were identified. Univariable and multivariable logistic regression analyses focused on CHT rates, whereas cumulative incidence plots and multivariable competing risks regression analyses tested for CSM and OCM rates. RESULTS: CHT was administered to 140 (45%) patients and rates increased from 37.5 to 62.2% (2004-2015; P = 0.02). Specifically, annual CHT rates increased over time in patients younger or equal to 65 years and in patients older than 65 years (44.4-84.6% versus 28.6-50%, respectively), but this trend was not statistically significant (P = 0.1 and P = 0.2, respectively). The median follow-up was 13 months for both CHT (interquartile range 8.0-32.2) and no-CHT subgroups (interquartile range 5.0-40.0). In multivariable logistic regression analyses, more contemporary year of diagnosis interval (odds ratio 2.08, P < 0.01) and age older than 75 years (odds ratio 0.14, P < 0.001) were independent predictors of CHT use. In multivariable competing risks regression analyses, CHT use did not affect CSM (hazard ratio 1.02; P = 0.7) or OCM (hazard ratio 1.56; P = 0.8). CONCLUSIONS: CHT adherence rates sharply increased in the most recent years. Despite this increase over time, the lack of efficacy regarding CSM benefit is disappointing.

Robot-assisted radical prostatectomy: recent advances.

Robot assisted radical prostatectomy (RARP) represents the leading application of robotic surgery in the urologic field and it has become the main treatment option for localized prostate cancer (PCa) in the USA In the present review we summarized and critically analyzed the literature of the past five years about this widely used robotic procedure. RARP has continuously evolved in terms of technical modifications and procedural steps. Long-term data are now available, suggesting comparable oncological outcomes to those of open and laparoscopic radical prostatectomy. Good functional outcomes have also been demonstrated. Technological innovations and the introduction of more advanced robotic platforms featuring novel arm-integrated equipment, together with a mature clinical experience with the robotic approach, are likely to lead towards optimal outcomes. Despite the expanding clinical implementation of RARP in the management of prostate cancer, some issues related to this procedure remain matter of debate, such as costs, comparative outcomes versus other approaches, and its role in high risk disease.