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Objectives: To test for specific anthropometric parameters to predict perioperative outcomes after thermal ablation (TA) for renal cell carcinoma (RCC)., Materials and Methods: Retrospective single center (2008-2022) analysis of 538 T1a-b RCC patients treated with TA. We tested for specific anthropometric parameters, namely skin to tumor distance (STTD), perirenal fat thickness (PFT), median psoas muscle axial area (PMAA) and median paravertebral muscle axial area (PVMAA), to predict TRIFECTA achievement: (1) absence of CLAVIEN-DINDO≥ 3 complications; (2) complete ablation; (3) absence of ≥ 30% decrease in eGFR. Univariable (ULRM) and multivariable logistic regression models (MLRM) were used for testing TRIFECTA achievement., Results: Overall, 103 patients (19%) did not achieve TRIFECTA. Of all anthropometric factors, only lower PMAA was associated with no TRIFECTA achievement (10 vs. 11 cm 2 , P = .02). However, ULRMs and MLRMs did not confirmed the aforementioned association. We than tested for the 3 specific TRIFECTA items. In separate ULRM and MLRM predicting incomplete ablation, both continuously coded STTD (Odds Ratio [OR]: 1.02; CI: 1.01-1.03; P = .02) and STTD strata (STTD > 10 cm; OR: 2.1; CI: 1.1-4.1; P = .03) achieved independent predictor status. Conversely, in separate ULRM and MLRM predicting CLAVIEN-DINDO ≥3 complications, both continuously coded PFT (OR: 1.04; CI: 1.01-1.07; P = .01) and PFT strata (PFT ≥ 14 mm; OR: 3.3; CI: 1.6-10.2; P = .003) achieved independent predictor status. Last, none of the anthropometric parameters were associated with eGFR decrease ≥ 30%., Conclusion: None of the tested anthropometric parameters predicted TRIFECTA achievement. However, when the 3 specific TRIFECTA items were tested, STTD and PFT were associated with, respectively, incomplete ablation and CLAVIEN-DINDO ≥ 3 complications., Competing Interests: Disclosure None., (Copyright © 2024 Elsevier Inc. All rights reserved.)

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., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Objectives: To test international society of urological pathology grade group (ISUP GG) concordance rates between multiparametric magnetic resonance imaging (mpMRI) targeted biopsies (TB) vs. standard systematic biopsies (SB) and radical prostatectomy (RP) specimens, in biopsy naïve patients., Materials and Methods: This retrospective single center study included 80 vs. 500 biopsy naïve patients diagnosed with TB vs. SB and treated with RP between 2015 and 2018. First, we compared ISUP GG concordance rates and the percentages of undetected clinically significant prostate cancer (csPCa: ISUP GG  ≥ 3), between TB vs. SB and RP. Second, multivariable logistic regression models tested predictors of concordance rates before and after 1:3 propensity score (PS) matching. Third, among TB patients, univariable logistic regression models tested variables associated with ISUP GG concordance at RP., Results: Overall, ISUP GG concordance rates were, respectively, 55 vs. 41.4% for TB vs. SB (P = 0.02). However, no differences in concordance rates were observed in patients with biopsy ISUP GG1 (31 vs. 33.9% for TB vs. SB; P = 0.8). Moreover, 15 vs. 18.8% csPCa were missed by TB vs. SB, respectively (P = 0.4). In multivariable logistic regression models, TB were associated with higher concordance rates before (odds ratio [OR]: 1.13; P = 0.04) and after 1:3 PS matching (OR: 1.15; P 0.03), compared to SB. In TB patients, age (OR: 0.98; P = 0.04), maximum cancer core involvement (MCCI; OR: 1.02; P = 0.02) and maximum cancer core length (MCCL; OR: 1.01; P = 0.07) were associated with ISUP GG concordance. Moreover, a trend for lower concordance rates was observed with higher PSA-D (OR: 0.77; P = 0.1). Finally, intermediate lesion location at mpMRI was associated with lowest concordance rates (44%)., Conclusion: In biopsy naïve patients treated with RP, TB achieved higher rates of ISUP GG concordance, but same percentages of csPCa missed, compared to SB. Moreover, only patients with ISUP GG ≥2, but not patients with ISUP GG1, exhibited higher concordance rates. Finally, age, MCCI, MCCL, PSA-D, and lesion location were associated with concordance between TB and RP., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Background: Obesity is associated with an increased risk of high-grade prostate cancer (PCa). The effect of body mass index (BMI) as a predictor of progression in men with low-risk PCa has been only poorly assessed. In this study, we evaluated the association of BMI with progression in patients with low-risk PCa who met the inclusion criteria for the active surveillance (AS) protocol., Methods: We assessed 311 patients who underwent radical prostatectomy and were eligible for AS according to the following criteria: clinical stage T2a or less, prostate-specific antigen level < 10 ng/ml, 2 or fewer cores involved with cancer, Gleason score ≤ 6 grade, and prostate-specific antigen density < 0.2 ng/ml/cc. Reclassification was defined as upstaged (pathological stage > pT2) and upgraded (Gleason score ≥ 7; primary Gleason pattern 4) disease. Seminal vesicle invasion, positive lymph nodes, and tumor volume ≥ 0.5 ml were also recorded., Results: We found that high BMI was significantly associated with upgrading, upstaging, and seminal vesicle invasion, whereas it was not associated with positive lymph nodes or large tumor volume. At multivariate analysis, 1 unit increase of BMI significantly increased the risk of upgrading, upstaging, seminal vesicle invasion, and any outcome by 21%, 23%, 27%, and 20%, respectively. The differences between areas under the receiver operating characteristics curves comparing models with and without BMI were statistically significant for upgrading (P = 0.0002), upstaging (P = 0.0007), and any outcome (P = 0.0001)., Conclusions: BMI should be a selection criterion for inclusion of patients with low-risk PCa in AS programs. Our results support the idea that obesity is associated with worse prognosis and suggest that a close AS program is an appropriate treatment option for obese subjects., (Copyright © 2015 Elsevier Inc. All rights reserved.)