Temporal Trends in Urinary Diversion among Patients Undergoing Radical Cystectomy Between 1986 and 2022: Experience at the University Medical Center Mainz with 2224 Cases.

BACKGROUND: Analysis of temporal trends of urinary diversion (UD) and identification of predictive factors for continent urinary diversion (CUD) in patients with bladder cancer (BC) is scarce and data on large cohorts are missing. We aimed to describe longitudinal temporal trends and predictive factors for UD among patients with BC receiving radical cystectomy (RC). PATIENTS AND METHODS: We retrospectively analysed institutional data collected from patients undergoing RC from 1986 to 2022 to describe changes in patients' characteristics and UD. Primary end points were patients' characteristics associated with type of UD. Logistic regression analysis was used to determine predictive factors for CUD. RESULTS: In total, 2224 patients (77.16% male, 22.84% female) with a mean age of 66 years [standard deviation (SD), 10.64 years] were included. We observed an increase in mean age from 59.86 (10.8) years (1986-1990) to 69.85 (9.99) years (2016-2022) (p < 0.001). The proportion of CUD gradually declined from 43.72% (94/215; 1986-1990) to 18.38% (86/468; 2016-2022). Patients who were male [odds ratio (OR): 1.92, 95% confidence interval (CI): 1.43-2.57, p < 0.001), younger (OR: 0.88, 95% CI: 0.87-0.89, p < 0.001) and had no hydronephrosis prior to RC (OR: 2.2, 95% CI: 1.66-2.92, p < 0.001) were more likely to receive CUD. CONCLUSIONS: We report the largest European single-center cohort of UD after RC, demonstrating a significant shift from CUD to IUD, accompanied by an increasing age. Finally, our data mirrors the development and extensive experience with the Mainz Pouch-I in the 1980's and 1990's together with other colon pouches.

Change in Splenic Volume as a Surrogate Marker for Immunotherapy Response in Patients with Advanced Urothelial and Renal Cell Carcinoma-Evaluation of a Novel Approach of Fully Automated Artificial Intelligence Based Splenic Segmentation.

BACKGROUND: In the treatment of advanced urothelial (aUC) and renal cell carcinoma (aRCC), biomarkers such as PD-1 and PD-L1 are not robust prognostic markers for immunotherapy (IO) response. Previously, a significant association between IO and a change in splenic volume (SV) was described for several tumour entities. To the best of our knowledge, this study presents the first correlation of SV to IO in aUC and aRCC. METHODS: All patients with aUC (05/2017-10/2021) and aRCC (01/2012-05/2022) treated with IO at our academic centre were included. SV was measured at baseline, 3 and 9 months after initiation of IO using an in-house developed convolutional neural network-based spleen segmentation method. Uni- and multivariate Cox regression models for overall survival (OS) and progression-free survival (PFS) were used. RESULTS: In total, 35 patients with aUC and 30 patients with aRCC were included in the analysis. Lower SV at the three-month follow-up was significantly associated with improved OS in the aRCC group. CONCLUSIONS: We describe a new, innovative artificial intelligence-based approach of a radiological surrogate marker for IO response in aUC and aRCC which presents a promising new predictive imaging marker. The data presented implicate improved OS with lower follow-up SV in patients with aRCC.