Segmental ureterectomy (SU) is an alternative to radical nephroureterectomy (RNU) in the treatment of upper-tract urothelial carcinoma (UTUC) of the ureter. SU generally preserves renal function, at the expense of less intensive cancer control. We aim to assess whether SU is associated with inferior survival compared to RNU. Using the National Cancer Database (NCDB), we identified patients diagnosed with localized UTUC of the ureter between 2004–2015. We used a propensity-score-overlap-weighted (PSOW) multivariable survival model to compare survival following SU vs. RNU. PSOW-adjusted Kaplan–Meier curves were generated and we performed a non-inferiority test of overall survival. A population of 13,061 individuals with UTUC of the ureter receiving either SU or RNU was identified; of these, 9016 underwent RNU and 4045 SU. Factors associated with decreased likelihood of receiving SU were female gender (OR, 0.81; 95% CI, 0.75–0.88; p < 0.001), advanced clinical T stage (cT4) (OR, 0.51; 95% CI, 0.30–0.88; p = 0.015), and high-grade tumor (OR, 0.76; 95% CI, 0.67–0.86; p < 0.001). Age greater than 79 years was associated with increased probability of undergoing SU (OR, 1.18; 95% CI, 1.00–1.38; p = 0.047). There was no statistically significant difference in OS between SU and RNU (HR, 0.98; 95% CI, 0.93–1.04; p = 0.538). SU was not inferior to RNU in PSOW-adjusted Cox regression analysis (p < 0.001 for non-inferiority). In weighted cohorts of individuals with UTUC of the ureter, the use of SU was not associated with inferior survival compared to RNU. Urologists should continue to utilize SU in appropriately selected patients.

Objectives: To evaluate the prognostic impact of positive surgical margins (PSMs) after partial or radical nephrectomy for clear cell renal cell carcinoma (ccRCC) across AJCC stages and assess its relevance to adjuvant therapy eligibility, given that landmark trials excluded patients with PSMs. Methods: We conducted a retrospective study using the National Cancer Database, including 171,151 ccRCC patients treated with partial or radical nephrectomy (2004–2020). Patients receiving systemic therapy or with missing key data were excluded. OS was analyzed using Kaplan–Meier curves, log-rank tests, and multivariable Cox regression. Subgroup analyses compared T2 G2/G3 PSM vs. T2 G4 negative surgical margin (NSM) (N0/Nx M0) and assessed PSM impact within KEYNOTE-564 risk groups. Results: PSMs were present in 5.9% of patients and independently predicted worse OS (HR 1.43; p < 0.001). No OS difference was observed in AJCC stage I (p = 0.54), while stages II (p = 0.001), III, and IV (p < 0.001) showed poorer survival with PSMs. OS in patients with T2 G2/G3 tumors and PSMs was comparable to those with T2 G4 and NSMs (p = 0.69). Within the KEYNOTE-564 risk population, PSMs were associated with a 62% increased risk of death (HR 1.62; p < 0.001). Conclusions: PSMs are independently associated with worse OS in ccRCC. Their prognostic impact varies across AJCC stages, supporting the use of margin status to refine risk models, guide surveillance, and consider PSM patients for adjuvant trials.

Background: The diagnostic process for prostate cancer after a negative biopsy is challenging. This study compares the diagnostic accuracy of micro-ultrasound (mUS) with multiparametric magnetic resonance imaging (mpMRI) for such cases. Methods: A retrospective cohort study was performed, targeting men with previous negative biopsies and using mUS and mpMRI to detect prostate cancer and clinically significant prostate cancer (csPCa). Results: In our cohort of 1397 men, 304 had a history of negative biopsies. mUS was more sensitive than mpMRI, with better predictive value for negative results. Importantly, mUS was significantly associated with csPCa detection (adjusted odds ratio [aOR]: 6.58; 95% confidence interval [CI]: 1.15–37.8; p = 0.035). Conclusions: mUS may be preferable for diagnosing prostate cancer in previously biopsy-negative patients. However, the retrospective design of this study at a single institution suggests that further research across multiple centers is warranted.

Prostate cancer (PCa) represents the cause of the second highest number of cancer-related deaths worldwide, and its clinical presentation can range from slow-growing to rapidly spreading metastatic disease. As the characteristics of most cases of PCa remains incompletely understood, it is crucial to identify new biomarkers that can aid in early detection. Despite the prostate-specific antigen serum (PSA) levels, prostate biopsy, and imaging representing the actual gold-standard for diagnosing PCa, analyzing volatile organic compounds (VOCs) has emerged as a promising new frontier. We and other authors have reported that highly trained dogs can recognize specific VOCs associated with PCa with high accuracy. However, using dogs in clinical practice has several limitations. To exploit the potential of VOCs, an electronic nose (eNose) that mimics the dog olfactory system and can potentially be used in clinical practice was designed. To explore the eNose as an alternative to dogs in diagnosing PCa, we conducted a systematic literature review and meta-analysis of available studies. PRISMA guidelines were used for the identification, screening, eligibility, and selection process. We included six studies that employed trained dogs and found that the pooled diagnostic sensitivity was 0.87 (95% CI 0.86–0.89; I², 98.6%), the diagnostic specificity was 0.83 (95% CI 0.80–0.85; I², 98.1%), and the area under the summary receiver operating characteristic curve (sROC) was 0.64 (standard error, 0.25). We also analyzed five studies that used an eNose to diagnose PCa and found that the pooled diagnostic sensitivity was 0.84 (95% CI, 0.80–0.88; I², 57.1%), the diagnostic specificity was 0.88 (95% CI, 0.84–0.91; I², 66%), and the area under the sROC was 0.93 (standard error, 0.03). These pooled results suggest that while highly trained dogs have the potentiality to diagnose PCa, the ability is primarily related to olfactory physiology and training methodology. The adoption of advanced analytical techniques, such as eNose, poses a significant challenge in the field of clinical practice due to their growing effectiveness. Nevertheless, the presence of limitations and the requirement for meticulous study design continue to present challenges when employing eNoses for the diagnosis of PCa.