End-Stage Kidney Disease After Partial and Radical Nephrectomy Among Patients with Severe Chronic Kidney Disease.

PURPOSE: AUA guidelines prioritize nephron sparing in patients with preexisting chronic kidney disease (CKD). However, few studies analyze long-term renal function in patients with preoperative severe CKD who undergo extirpative renal surgery. Herein, we compare the hazard of progression to end-stage kidney disease (ESKD) following partial nephrectomy (PN) and radical nephrectomy (RN) among patients with preoperative severe CKD. MATERIALS AND METHODS: Patients with stage 4 CKD who underwent PN or RN from 1970 to 2018 were identified. A multivariable Fine-Gray subdistribution hazard model was employed to assess associations with progression to ESKD accounting for the competing risk of death. RESULTS: A total of 186 patients with stage 4 CKD underwent PN (n = 71; 38%) or RN (n = 115; 62%) for renal neoplasms with median follow-up of 6.9 years (interquartile range 3.8-14.1). On multivariable analyses adjusting for competing risk of death, the subdistribution hazard ratio (SHR) for older age at surgery (SHR for 5-year increase 0.81; 95% CI 0.73-0.91; P < .001) and higher preoperative estimated glomerular filtration rate (SHR for 5-unit increase 0.63; 95% CI 0.47-0.84; P = .002) was associated with lower hazard of progression to ESKD. There was no significant difference in hazard of ESKD between PN and RN (SHR 0.82; 95% CI 0.50-1.33; P = .4). CONCLUSIONS: Among patients with preoperative severe CKD, higher preoperative estimated glomerular filtration rate was associated with lower hazard of progression to ESKD after extirpative surgery for renal neoplasms. We did not observe a significant difference in overall hazard for developing ESKD between PN and RN.

Mayo Clinic Validation of the AUA Risk Groups for Localized Renal Cell Carcinoma.

PURPOSE: The AUA guidelines introduced a new risk group stratification system based primarily on tumor stage and grade to guide surveillance for patients treated surgically for localized renal cell carcinoma (RCC). We sought to evaluate the predictive ability of these risk groups using progression-free survival (PFS) and cancer-specific survival (CSS), and to compare their performance to that of our published institutional risk models. MATERIALS AND METHODS: We queried our Nephrectomy Registry to identify adults treated with radical or partial nephrectomy for unilateral, M0, clear cell RCC, or papillary RCC from 1980 to 2012. The AUA stratification does not apply to other RCC subtypes as tumor grading for other RCC, such as chromophobe, is not routinely performed. PFS and CSS were estimated using the Kaplan-Meier method. Predictive abilities were evaluated using C indexes from Cox proportional hazards regression models. RESULTS: A total of 3191 patients with clear cell RCC and 633 patients with papillary RCC were included. For patients with clear cell RCC, C indexes for the AUA risk groups and our model were 0.780 and 0.815, respectively (P < .001) for PFS, and 0.811 and 0.857, respectively (P < .001), for CSS. For patients with papillary RCC, C indexes for the AUA risk groups and our model were 0.775 and 0.751, respectively (P = .002) for PFS, and 0.830 and 0.803, respectively (P = .2) for CSS. CONCLUSIONS: The AUA stratification is a parsimonious system for categorizing RCC that provides C indexes of about 0.80 for PFS and CSS following surgery for localized clear cell and papillary RCC.

The optimal number of induction chemotherapy cycles in clinically lymph node-positive bladder cancer.

OBJECTIVE: To investigate the optimal number of induction chemotherapy cycles needed to achieve a pathological response in patients with clinically lymph node-positive (cN+) bladder cancer (BCa) who received three or four cycles of induction chemotherapy followed by consolidative radical cystectomy (RC) with pelvic lymph node dissection. PATIENTS AND METHODS: We included 388 patients who received three or four cycles of cisplatin/gemcitabine or (dose-dense) methotrexate, vinblastine, doxorubicin, and cisplatin (MVAC), followed by consolidative RC for cTanyN1-3M0 BCa. We compared pathological complete (pCR = ypT0N0) and objective response (pOR = yp ≤T1N0) between treatment groups. Predictors of pCR and/or pOR were assessed using uni- and multivariable logistic regression analysis. The secondary endpoints were overall (OS) and cancer-specific survival (CSS). We evaluated the association between the number of induction chemotherapy cycles administered and survival outcomes on multivariable Cox regression. RESULTS: Overall, 101 and 287 patients received three or four cycles of induction chemotherapy, respectively. Of these, 72 (19%) and 128 (33%) achieved pCR and pOR response, respectively. The pCR (20%, 18%) and pOR (40%, 31%) rates did not differ significantly between patients receiving three or four cycles (P > 0.05). The number of cycles was not associated with pCR or pOR on multivariable logistic regression analyses. The 2-year OS estimates were 63% (95% confidence interval [CI] 0.53-0.74) and 63% (95% CI 0.58-0.7) for patients receiving three or four cycles, respectively. Receiving three vs four cycles was not associated with OS and CSS on uni- or multivariable Cox regression analyses. CONCLUSION: Pathological response and survival outcomes did not differ between administering three or four induction chemotherapy cycles in patients with cN+ BCa. A fewer cycles (minimum three) may be oncologically sufficient in patients with cN+ BCa, while decreasing the wait for definitive local therapy in those patients who end up without a response to chemotherapy. This warrants further validation.

Automated surgical step recognition in transurethral bladder tumor resection using artificial intelligence: transfer learning across surgical modalities.

Objective: Automated surgical step recognition (SSR) using AI has been a catalyst in the "digitization" of surgery. However, progress has been limited to laparoscopy, with relatively few SSR tools in endoscopic surgery. This study aimed to create a SSR model for transurethral resection of bladder tumors (TURBT), leveraging a novel application of transfer learning to reduce video dataset requirements. Materials and methods: Retrospective surgical videos of TURBT were manually annotated with the following steps of surgery: primary endoscopic evaluation, resection of bladder tumor, and surface coagulation. Manually annotated videos were then utilized to train a novel AI computer vision algorithm to perform automated video annotation of TURBT surgical video, utilizing a transfer-learning technique to pre-train on laparoscopic procedures. Accuracy of AI SSR was determined by comparison to human annotations as the reference standard. Results: A total of 300 full-length TURBT videos (median 23.96 min; IQR 14.13-41.31 min) were manually annotated with sequential steps of surgery. One hundred and seventy-nine videos served as a training dataset for algorithm development, 44 for internal validation, and 77 as a separate test cohort for evaluating algorithm accuracy. Overall accuracy of AI video analysis was 89.6%. Model accuracy was highest for the primary endoscopic evaluation step (98.2%) and lowest for the surface coagulation step (82.7%). Conclusion: We developed a fully automated computer vision algorithm for high-accuracy annotation of TURBT surgical videos. This represents the first application of transfer-learning from laparoscopy-based computer vision models into surgical endoscopy, demonstrating the promise of this approach in adapting to new procedure types.

Automated Identification of Key Steps in Robotic-Assisted Radical Prostatectomy Using Artificial Intelligence.

PURPOSE: The widespread use of minimally invasive surgery generates vast amounts of potentially useful data in the form of surgical video. However, raw video footage is often unstructured and unlabeled, thereby limiting its use. We developed a novel computer-vision algorithm for automated identification and labeling of surgical steps during robotic-assisted radical prostatectomy (RARP). MATERIALS AND METHODS: Surgical videos from RARP were manually annotated by a team of image annotators under the supervision of 2 urologic oncologists. Full-length surgical videos were labeled to identify all steps of surgery. These manually annotated videos were then utilized to train a computer vision algorithm to perform automated video annotation of RARP surgical video. Accuracy of automated video annotation was determined by comparing to manual human annotations as the reference standard. RESULTS: A total of 474 full-length RARP videos (median 149 minutes; IQR 81 minutes) were manually annotated with surgical steps. Of these, 292 cases served as a training dataset for algorithm development, 69 cases were used for internal validation, and 113 were used as a separate testing cohort for evaluating algorithm accuracy. Concordance between artificial intelligence‒enabled automated video analysis and manual human video annotation was 92.8%. Algorithm accuracy was highest for the vesicourethral anastomosis step (97.3%) and lowest for the final inspection and extraction step (76.8%). CONCLUSIONS: We developed a fully automated artificial intelligence tool for annotation of RARP surgical video. Automated surgical video analysis has immediate practical applications in surgeon video review, surgical training and education, quality and safety benchmarking, medical billing and documentation, and operating room logistics.

Navigating Now and Next: Recent Advances and Future Horizons in Robotic Radical Prostatectomy.

Robotic-assisted radical prostatectomy (RARP) has become the leading approach for radical prostatectomy driven by innovations aimed at improving functional and oncological outcomes. The initial advancement in this field was transperitoneal multiport robotics, which has since undergone numerous technical modifications. These enhancements include the development of extraperitoneal, transperineal, and transvesical approaches to radical prostatectomy, greatly facilitated by the advent of the Single Port (SP) robot. This review offers a comprehensive analysis of these evolving techniques and their impact on RARP. Additionally, we explore the transformative role of artificial intelligence (AI) in digitizing robotic prostatectomy. AI advancements, particularly in automated surgical video analysis using computer vision technology, are unprecedented in their scope. These developments hold the potential to revolutionize surgeon feedback and assessment and transform surgical documentation, and they could lay the groundwork for real-time AI decision support during surgical procedures in the future. Furthermore, we discuss future robotic platforms and their potential to further enhance the field of RARP. Overall, the field of minimally invasive radical prostatectomy for prostate cancer has been an incubator of innovation over the last two decades. This review focuses on some recent developments in robotic prostatectomy, provides an overview of the next frontier in AI innovation during prostate cancer surgery, and highlights novel robotic platforms that may play an increasing role in prostate cancer surgery in the future.

Impact of Neoadjuvant Chemotherapy on Pathologic Downstaging in Patients With Variant Histology Undergoing Radical Cystectomy.

INTRODUCTION: Variant histology (VH) bladder cancer is often associated with poor outcomes and the role of neoadjuvant chemotherapy (NAC) remains incompletely defined. Our objective was to determine comparative pathologic downstaging at radical cystectomy (RC) following NAC for patients with and without VH. PATIENTS AND METHODS: Patients who underwent RC at 2 tertiary referral centers (1996-2018) were included. Patients with VH (sarcomatoid, nested, micropapillary, plasmacytoid) were matched 1:2 to patients with pure urothelial carcinoma by age, sex, clinical T (cT)stage, clinical N (cN)stage, cystectomy year and receipt of NAC. The primary outcome was pathologic downstaging (pT-stage < cT-stage). The differential impact of NAC on pathologic downstaging between VH and non-VH was assessed using multivariable logistic regression with interaction analysis. RESULTS: 225 VH and 437 non-VH patients were included. One hundred twenty-eight of six hundred sixty-two (19.3%) patients experienced downstaging, including 54/121 (44.6%) patients who received NAC and 74/542 (13.2%) patients who did not (P < .01). Rates of downstaging after NAC for subgroups were: 45/78 (57.7%) urothelial, 3/8 (37.5%) sarcomatoid, 2/12 (16.7%) nested, 3/14 (21.4%) micropapillary, and 1/8 (12.5%) plasmacytoid. Collectively, 9/42 (21.4%) of VH patients who received NAC were downstaged. On multivariable analyses, NAC was associated with increased likelihood of downstaging in the overall cohort (OR 5.25, 95% CI, 3.29-8.36, P < .0001) and this effect was not modified by VH versus non-VH histology (P = .13 for interaction). VH patients had worse survival outcomes compared to non-VH (P < 0.01 for all). CONCLUSION: When comparing patients with VH to matched pure urothelial carcinoma controls, VH did not have an adverse effect on downstaging following NAC. VH patients should not be excluded from NAC if otherwise eligible.

Cutaneous Ureterostomy Following Radical Cystectomy for Bladder Cancer: A Contemporary Series.

OBJECTIVE: To report peri-operative outcomes of a contemporary series of bladder cancer patients undergoing radical cystectomy (RC) with cutaneous ureterostomy (CU) urinary diversion at a tertiary referral center. METHODS: We retrospectively identified patients who underwent RC with CU at Mayo Clinic between 2016 and 2021. Clinicopathologic and perioperative characteristics were analyzed using standard descriptive statistics. RESULTS: A total of 31 patients underwent RC with CU at our institution. Median age was 72years and 21 were male. This was highly comorbid cohort (83% had an American Society of Anesthesiologists [ASA] Physical Status Classification System ≥3; median Charlson Comorbidity index= 8). Median time to flatus, tolerating regular diet, and length of stay were 3 (interquartile range [IQR] 3-3), 3 (IQR 3-4), and 4days (IQR 4-7), respectively. A total of 14 patients experienced a high-grade complication (Clavien-Dindo ≥3) within 30days of surgery, and 8 were readmitted. The most common 30-day complication was sepsis, which affected 13% (4/31) of patients. At 90days postsurgery, the readmission rate was 32% (10/31), most commonly for sepsis. Three patients required reoperation within 90days, including one patient who required CU revision due to stomal ischemia. One patient died within this time frame from causes unrelated to bladder cancer. CONCLUSION: In a comorbid, relatively elderly bladder cancer cohort undergoing RC, the use of CU was associated with expeditious surgery and postoperative recovery. CU represents an option for urinary diversion in high-risk patients undergoing RC. Higher rate of postoperative ureteral obstruction can be pre-emptively addressed with chronic stent placement.

Perioperative Complications and Oncologic Outcomes of Nephrectomy Following Immune Checkpoint Inhibitor Therapy: A Multicenter Collaborative Study.

BACKGROUND: Immune checkpoint inhibitors (ICIs) are now a mainstay of metastatic renal cell carcinoma (RCC) management with five current Food and Drug Administration-approved regimens. However, data regarding nephrectomy outcomes following an ICI are limited. OBJECTIVE: To evaluate the safety and outcomes of nephrectomy following an ICI. DESIGN, SETTING, AND PARTICIPANTS: A retrospective review was performed of patients with primary locally advanced or metastatic RCC undergoing nephrectomy following an ICI in five US academic centers between January 2011 and September 2021. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Clinical data, perioperative outcomes, and 90-d complications/readmissions were recorded and evaluated by univariate and logistic regression models. Recurrence-free and overall survival probabilities were estimated by the Kaplan-Meier method. RESULTS AND LIMITATIONS: A total of 113 patients with a median (interquartile range) age of 63 (56-69) yr were included. The main ICI regimens were nivolumab ± ipilimumab (n = 85) and pembrolizumab ± axitinib (n = 24). Risk groups included 95% intermediate- and 5% poor-risk patients. Surgical procedures were 109 radical and four partial nephrectomies, including 60 open, 38 robotic, and 14 laparoscopic with five (10%) conversions. Two intraoperative complications were reported (bowel and pancreatic injury). The median operative time, estimated blood loss, and hospital stay were 3 h, 250 ml, and 3 d, respectively. A complete pathologic response (ypT0N0) was noted in six (5%) patients. The 90-d complication rate was 24%, with 12 (11%) patients requiring readmission. On a multivariable analysis, two or more risk factors (odds ratio [OR] 2.91, 95% confidence interval [CI]: 1.09, 7.42) and pathologic T stage ≥T3 (OR 4.21, 95% CI: 1.13-15.8) were independently associated with a higher 90-d complication rate. The 3-yr estimated overall survival and recurrence-free survival rates were 82% and 47%, respectively. Limitations include the retrospective nature and heterogeneous cohort in terms of clinicopathologic characteristics and ICI regimens received. CONCLUSIONS: Nephrectomy following ICI therapy is feasible and a potential consolidative therapy option in select patients. Further research in the neoadjuvant setting is also warranted. PATIENT SUMMARY: This study evaluates the outcomes of kidney surgery following immune checkpoint inhibitor therapy (mainly nivolumab and ipilimumab or pembrolizumab and axitinib) for patients with advanced kidney cancer. We utilized data from five academic centers across the USA and found that surgery in this setting did not have more complications or returns to the hospital than similar surgeries, indicating that it is a safe and feasible procedure at this time.

Effect of Dataset Size and Medical Image Modality on Convolutional Neural Network Model Performance for Automated Segmentation: A CT and MR Renal Tumor Imaging Study.

The aim of this study is to investigate the use of an exponential-plateau model to determine the required training dataset size that yields the maximum medical image segmentation performance. CT and MR images of patients with renal tumors acquired between 1997 and 2017 were retrospectively collected from our nephrectomy registry. Modality-based datasets of 50, 100, 150, 200, 250, and 300 images were assembled to train models with an 80-20 training-validation split evaluated against 50 randomly held out test set images. A third experiment using the KiTS21 dataset was also used to explore the effects of different model architectures. Exponential-plateau models were used to establish the relationship of dataset size to model generalizability performance. For segmenting non-neoplastic kidney regions on CT and MR imaging, our model yielded test Dice score plateaus of [Formula: see text] and [Formula: see text] with the number of training-validation images needed to reach the plateaus of 54 and 122, respectively. For segmenting CT and MR tumor regions, we modeled a test Dice score plateau of [Formula: see text] and [Formula: see text], with 125 and 389 training-validation images needed to reach the plateaus. For the KiTS21 dataset, the best Dice score plateaus for nn-UNet 2D and 3D architectures were [Formula: see text] and [Formula: see text] with number to reach performance plateau of 177 and 440. Our research validates that differing imaging modalities, target structures, and model architectures all affect the amount of training images required to reach a performance plateau. The modeling approach we developed will help future researchers determine for their experiments when additional training-validation images will likely not further improve model performance.

Cost-effectiveness of Adjuvant Pembrolizumab After Nephrectomy for High-risk Renal Cell Carcinoma: Insights for Patient Selection From a Markov Model.

PURPOSE: The KEYNOTE-564 trial demonstrated that adjuvant pembrolizumab after nephrectomy for clear cell renal cell carcinoma decreased the risk of disease progression and potentially overall mortality as well. Herein, we used a Markov model to weigh the costs, toxicities, and efficacy of pembrolizumab to further investigate its utility. MATERIALS AND METHODS: Decision-analytic Markov modeling was used to conduct a cost-utility analysis of adjuvant pembrolizumab versus observation after nephrectomy for high-risk clear cell renal cell carcinoma, using data from KEYNOTE-564 to inform model probabilities. Primary outcomes were quality-adjusted life years, Medicare costs, and incremental cost-effectiveness ratios. The willingness-to-pay threshold utilized was $100,000/quality-adjusted life year. RESULTS: At 5 years, adjuvant treatment with pembrolizumab resulted in 0.3 additional quality-adjusted life years at an additional cost of $99,484 relative to observation. Pembrolizumab was found not to be cost-effective at a 5-year time horizon (incremental cost-effectiveness ratio=$326,534). On sensitivity analysis, pembrolizumab became cost-effective if its per cycle cost was <$5,064 (base=$10,278) or its 5-year progression benefit was >18.8% (base 9%). Upon simulation, pembrolizumab was cost-effective for 29% of patients at 5 years. Specifically, we found that pembrolizumab would be cost-effective at 5 years for patients with at least a 59% 5 year risk of progression, which corresponds to a Mayo Progression-free Survival Score ≥10. CONCLUSIONS: At current prices, adjuvant pembrolizumab was found to be cost-effective only for the highest risk subset of clear cell renal cell carcinoma patients 5 years after treatment, including patients with complete metastasectomy, regional lymph node involvement, or ≥7cm pT3 tumors with sarcomatoid features. Longer-term trial data, including overall survival results, are necessary to confirm these extrapolations.

Progression of Chronic Kidney Disease Following Radical and Partial Nephrectomy.

OBJECTIVE: To compare renal functional outcomes, as determined by percent decline in estimated glomerular filtration rate (eGFR) and CKD stage progression following radical (RN) and partial nephrectomy (PN) stratified by preoperative CKD stage. MATERIALS AND METHODS: We retrospectively evaluated adults treated with RN or PN between 1980 and 2018 for unilateral, sporadic, solid renal masses. Multivariable linear models for percent change in eGFR (n = 3046) and competing-risk Cox proportional hazards models for increase in CKD staging (n = 5805) were used to determine if there was a significant interaction between type of surgery (RN vs PN) and preoperative CKD stage. RESULTS: Percent change in eGFR at 1 year was significantly worse for RN (n = 1724; 57%) compared with PN (n = 1322; 43%) for all preoperative CKD stages. RN (n = 3227; 56%) was more likely to result in CKD stage progression compared with PN (n = 2578; 44%) for preoperative CKD stages I-IIIb (P <.001) but not for CKD stage IV (P = .8). CONCLUSION: RN was more likely to result in decline in eGFR and CKD stage progression compared to PN for patients with preoperative CKD stage IIIb or less. Additionally, RN was associated with a significantly greater decline in eGFR at 1 year relative to PN in the CKD stage IV subset. Our data support performing PN for renal preservation when feasible.

Role of Lymphadenectomy during Radical Cystectomy for Nonmuscle-Invasive Bladder Cancer: Results from a Multi-Institutional Experience.

PURPOSE: While lymph node dissection (LND) at radical cystectomy (RC) for muscle-invasive bladder cancer has been studied extensively, the role of LND for nonmuscle-invasive bladder cancer (NMIBC) remains incompletely defined. Herein, we aim to assess the association between extent of LND during RC for NMIBC and local pelvic recurrence-free survival (LPRS), cancer-specific survival (CSS) and overall survival (OS). MATERIALS AND METHODS: A multi-institutional retrospective review was performed of patients with NMIBC undergoing RC at 3 large tertiary referral centers. To identify a threshold for lymph node yield (LNY) to optimize LPRS, CSS and OS, separate Cox regression models were developed for each possible LNY threshold. Model performance including Q-statistics and hazard ratios (HRs) were used to identify optimal LNY thresholds. RESULTS: A total of 1,647 patients underwent RC for NMIBC, with a median LNY of 15 (quartiles 9,23). Model performance curves suggested LNY of 10 and 20 to optimize LPRS and CSS/OS, respectively. On multivariable regression, LNY >10 was associated with lower risk of LPR compared to LNY ≤10 (HR 0.63, 95% CI 0.42-0.93, p=0.02). Similarly, LNY >20 was associated with improved CSS (HR 0.67, 95% CI 0.52-0.87, p=0.002) and OS (HR 0.75, 95% CI 0.64-0.88, p <0.001) compared to LNY ≤20. Similar results were observed in the cT1 and cTis subgroups. CONCLUSIONS: Greater extent of LND during RC for NMIBC is associated with improved LPRS, CSS and OS, supporting the inclusion of LND during RC for NMIBC, particularly among patients with cTis or cT1 disease. Future prospective studies are warranted to assess the ideal anatomical template of LND in NMIBC.

A Contemporary Analysis of Urethral Recurrence following Radical Cystectomy.

PURPOSE: Oncologic outcomes following urethral recurrence (UR) remain incompletely described, with reports limited by small cohort sizes. We evaluated risk factors for UR as well as cancer-specific survival (CSS) and overall survival (OS) among patients with UR. MATERIALS AND METHODS: We reviewed our institutional radical cystectomy (RC) registry to identify patients with UR. Cox proportional hazards regression was used to assess risk factors for UR. Kaplan-Meier and Cox models were used to assess the relationship between UR and CSS/OS as well as to compare outcomes following symptomatic vs asymptomatic presentation of UR. RESULTS: Overall, 2,930 patients underwent RC from 1980 to 2018, with a median postoperative followup of 7.1 years (IQR 2.8-13.1), of whom 144 (4.9%) were subsequently diagnosed with UR. Carcinoma in situ (HR 1.98, 95% CI 1.30-3.04), multifocal disease (HR 1.59, 95% CI 1.07-2.36) and prostatic urethral involvement at RC (HR 3.01, 95% CI 1.98-4.57) were associated with increased risk of UR. UR was associated with decreased CSS (HR 7.30, 95% CI 5.46-9.76) and OS (HR 1.86, 95% CI 1.54-2.24). A total of 63/144 patients were diagnosed with UR based on symptoms, while 104/144 patients with UR underwent urethrectomy. Patients with symptomatic UR had higher tumor stage at urethrectomy (≥pT2 in 13.1% vs 3.1%, p=0.007), while patients with asymptomatic UR experienced longer median CSS (12.1 vs 6.1 years) and OS (8.30 vs 4.82 years; p=0.05 for both). CONCLUSIONS: We identified pathological risk factors for UR after RC and report adverse subsequent survival outcomes for these patients. Presentation with symptomatic UR was associated with higher tumor stage and poorer prognosis, supporting a value to continued urethral surveillance after RC.

Comparison of Oncologic Outcomes Following Open and Robotic-assisted Radical Cystectomy with both Extracorporeal and Intracorporeal Urinary Diversion.

OBJECTIVES: To compare oncologic endpoints between open radical cystectomy (ORC) and robotic-assisted radical cystectomy with extracorporeal urinary diversion (eRARC) or intracorporeal urinary diversion (iRARC). MATERIALS AND METHODS: Retrospective review of all patients undergoing curative-intent radical cystectomy with urinary diversion for urothelial bladder cancer at a single-institution from 2010-2018. Primary outcomes included recurrence location and rates, recurrence-free (RFS) and overall survival (OS). Survival estimates were obtained using the Kaplan-Meier method and compared using log-rank analysis. Cox proportional-hazards model was used to identify predictors of survival. RESULTS: 265, 366 and 285 patients underwent ORC, eRARC, and iRARC, respectively (n = 916). Median follow-up was 52, 40 and 37 months for ORC, eRARC and iRARC, respectively (P < 0.001). Ileal conduit was more commonly performed in iRARC (85%, P < 0.001). Neobladder rates did not vary. Neoadjuvant (p=0.4) or adjuvant therapy use (P = 0.36), pT-stage (P = 0.28) or pN-stage (P = 0.1) did not differ. Positive soft tissue margin rates were higher in ORC (7.2%-ORC, 3.6%-eRARC, 3.2%-iRARC, P = 0.041). Differences in recurrence rates or location were not observed. Surgical approach was not associated with any survival endpoint on proportional-hazards or Kaplan-Meier analysis. Hazard ratios and 95% CI for RFS were 1 (0.72-14) and 0.93 (0.66-1.3) for eRARC and iRARC, respectively, when compared to ORC as the referent. CONCLUSION: These findings from a large, single-institution in conjunction with randomized-controlled trial data suggest that RARC does not compromise perioperative or long-term oncologic outcomes when compared to ORC.

Contemporary management of advanced prostate cancer: an evolving landscape.

Recent population-based studies suggest that the incidence of advanced and metastatic prostate cancer may be increasing. Concurrently with this apparent stage migration toward advanced disease, several major developments have occurred in the treatment paradigm for men with advanced prostate cancer. These include the US Food and Drug Administration approval of 8 novel agents over the last decade. In addition to novel pharmaceuticals, rapidly evolving diagnostic tools have emerged. This review provides a primer for clinicians who treat men with advanced prostate cancer, including medical oncologists, radiation oncologists, and urologists.

Hospital-level Effects Contribute to Variations in Prostate Cancer Quality of Care.

A paucity of real-world data exists highlighting whether variations in prostate cancer quality of care occur at a hospital level, independent of differences in case mix. To overcome this knowledge gap, we benchmarked hospital-level quality (n = 1245 hospitals) across a broad multidisciplinary panel of previously reported disease-specific, expert-defined quality indicators (QIs), adjusting for differences in patient case mix by indirect standardization. A composite measure of prostate cancer quality-the prostate cancer quality score (PC-QS)-was derived, and associations between PC-QS and hospital volume, academic status, and location as well as patient all-cause mortality were determined. After adjusting for the case mix, of the total of 1245 hospitals evaluated, 2-37% were identified as those performing significantly below the national average for a given QI. Hospitals with a higher PC-QS displayed larger patient volumes, were more commonly academic affiliated, and had lower overall mortality. Collectively, our data-driven benchmarking analysis reveals that widespread hospital-level variations exist in prostate cancer quality of care after adjusting for differences in case mix, with the PC-QS serving as a novel, validated, quality benchmarking tool. PATIENT SUMMARY: Our statistical benchmarking method shows that the quality of prostate cancer care varies between hospitals, after accounting for differences in patient characteristics. The prostate cancer quality score is a novel, validated, quality benchmarking tool.