US patterns of care for urodynamic evaluation for BPH.

INTRODUCTION: Practice patterns around the use of urodynamic evaluation (UDS) for benign prostatic hyperplasia (BPH) surgery are largely undefined. As such, we investigated factors associated with the use of UDS for BPH. METHODS: We used American Board of Urology case log data from 2008 to 2020, to compare patient- and surgeon-sided factors associated with UDS utilization and BPH surgeries. We performed logistic regression models to identify factors independently associated with UDS usage for BPH. RESULTS: Among urologists performing UDS, the majority (80%) self-identified as general urologists and practiced in a private practice group (69%). Compared with urologists who performed no UDS, urologists who performed any UDS for BPH were more likely to be from the Mid-Atlantic (20.3% vs. 10.6%, p < 0.01) and practice in regions with populations of >1 000 000 (34.7% vs. 28.5%, p < 0.01). Overall, UDS utilization declined over time (odds ratio [OR]: 0.95 year-to-year, 95% confidence interval [CI]: 0.91-0.99). In adjusted analyses, the odds of performing UDS was higher among male (OR: 2.19, 95% CI: 1.17-4.09), older (OR: 1.05, 95% CI: 1.03-1.06), and female pelvic medicine and reconstructive surgery subspecialty (OR: 3.23, 95% CI: 2.01-5.2) urologists. Additionally, performing UDS for BPH was associated with higher BPH surgical case volume (OR: 1.004, 95% CI: 1.001-1.008). CONCLUSION: There is a significant practice variation in use of UDS for BPH. Although overall BPH surgeries are increasing, urologists are increasingly less likely to perform UDS for BPH. Specifically, urologists who perform UDS have significantly higher BPH case volume than those who do not perform UDS, suggesting that UDS usage may not factor into BPH surgery decision-making.

Guiding Clinical Decision Making for Surgical Incontinence Treatment After Prostatectomy: A Review of the Literature.

PURPOSE OF REVIEW: Stress urinary incontinence after prostatectomy is a common and debilitating side effect. Immediate post-prostatectomy management emphasizes pelvic floor muscle exercises. Per American Urologic Association guidelines, if incontinence persists for more than 12 months postoperatively, surgical interventions are the mainstay of treatment. Treatment decisions depend on a multitude of factors. The goal of this paper is to review recent literature updates regarding the diagnosis of male SUI to better guide surgical treatment decision-making. RECENT FINDINGS: Patient history is a critical component in guiding surgical decision making with severity and bother being primary factors driving treatment decisions. Recent studies indicate that a history of pelvic radiation continues to impact the overall duration and complication rate associated with artificial urinary sphincters (AUS). Cystoscopy should be done on every patient preparing to undergo surgical SUI treatment. Urodynamics and standing cough stress tests are additional diagnostic testing options; these tests may augment the diagnosis of SUI and better delineate which patients may benefit from a male sling versus AUS. Treatment of SUI after prostatectomy can improve health-related quality of life. A patient history focused on severity and degree of bother in addition to the use of ancillary office testing can help guide surgical treatment decisions to optimize patient continence goals.

The role of quantitative MRI-based prostate zonal parameters in predicting clinically significant prostate cancer A U.S. cohort.

INTRODUCTION: We aimed to investigate the clinical utility of quantitative prostatic zonal measurements on multiparametric magnetic resonance imaging (mpMRI) for the predication of clinically significant prostate cancer (csPCa). METHODS: A retrospective, single-institution study included 144 men who underwent mpMRI from 2015-2017. Prostate zone parameters were measured on mpMRI. Correlation and multivariable analysis evaluated the relationship between prostate zone parameters and the presence of csPCa. RESULTS: The mean age was 66.9±7.8 years old. The median (interquartile range [IQR]) prostate volume and prostate-specific antigen (PSA) were 51.6 ml (37.1-74.5) and 6.1 ng/ ml (4.5-8.2), respectively. Men with csPCa had significantly smaller total prostate volume (TPV), transitional zone volume (TZV), and transitional zone thickness (TZT), and larger transitional zone density (TZD) compared to those without PCa; however, on multivariate variable analysis, only TZD maintained significance. TZD had a comparable area under the curve to PSA density (PSAD) and PSA (0.74 vs. 0.73 vs. 0.60, respectively). In a subgroup analysis of men with PCa, PSAD and TZD were significantly higher in men with Gleason grade group (GG) ≥2 compared to those with GG <2 (p=0.002); however, this significance is not maintained on logistic regression in predicting GG. CONCLUSIONS: Quantitative features of prostate zones on MRI may aid in identifying better predictors of csPCa. Zonal-based PSA density (TZD) may be a useful marker in identifying csPCa. Further exploration is needed to understand the clinical application of larger TZV in men with csPCa compared to those with insignificant disease.

Evolving Trends in the Management of Low-Risk Prostate Cancer.

INTRODUCTION: Deferred treatment is a growing management strategy for low-risk prostate cancer. However, it is unknown whether this growth is mediated by patient factors. In this study, we sought to evaluate factors associated with deferred treatment in patients with low-risk prostate cancer and shifts in these factors after recent incorporation of active surveillance into national guidelines. MATERIALS AND METHODS: We identified 137,915 men diagnosed with low-risk prostate cancer (prostate-specific antigen <10 ng/mL, Gleason score ≤6, stage cT1-cT2a) in the National Cancer Database from 2010 to 2017. Multivariate logistic regression models were used to determine factors associated with deferred treatment. Interaction variables were added to determine whether trends in use of deferred treatment over time depend on race, income, education, and insurance status. RESULTS: The use of deferred treatment among men with low-risk prostate cancer increased from 14.7% in 2010-2011 to 46.3% in 2016-2017 (P < .001). On multivariate analysis, deferred treatment was associated with older age, more contemporary year of diagnosis, black race, lower income, higher educational attainment, government insurance, being uninsured, treatment at an academic/research facility, and treatment at a facility in New England (each P < .05). Incorporation of interaction variables showed that black race, belonging to the two lowest income quartiles, government insurance, and being uninsured became less associated with deferred treatment in recent years. CONCLUSIONS: The use of deferred treatment among men with low-risk prostate cancer increased significantly from 2010 to 2017. However, patients who were black, low-income, and not privately insured experienced smaller increases in deferred treatment. Interventions to increase uptake in these groups present opportunities to improve quality of care.

Grade Migration of Prostate Cancer in the United States During the Last Decade.

BACKGROUND: Prostate cancer (PC) screening guidelines have changed over the last decade to reduce overdiagnosis and overtreatment of low-grade disease. We sought to examine and attempt to explain how changes in screening strategies have impacted temporal trends in Gleason grade group (GG) PC at diagnosis and radical prostatectomy pathology. METHODS: Using the Surveillance, Epidemiology, and End Results Registry database, we identified 438 432 men with newly diagnosed PC during 2010-2018. Temporal trends in incidence of GG at biopsy, radical prostatectomy pathology, prostate-specific antigen (PSA) level, and metastasis at diagnosis were examined. The National Health Interview Survey database was examined to evaluate trends in PSA-screening rates, and a literature review evaluating magnetic resonance imaging and biomarkers utilization during this period was performed. RESULTS: Between 2010 and 2018, the incidence of low-grade PC (GG1) decreased from 52 to 26 cases per 100 000 (P < .001). The incidence of GG1 as a proportion of all PC decreased from 47% to 32%, and the proportion of GG1 at radical prostatectomy pathology decreased from 32% to 10% (P < .001). However, metastases at diagnosis increased from 3.0% to 5.2% (P < .001). During 2010-2013, PSA screening rates in men aged 50-74 years declined from 39 to 32 per 100 men and remained stable. Utilization rates of magnetic resonance imaging and biomarkers modestly increased from 7.2% in 2012 to 17% in 2019 and 1.3% in 2012 to 13% in 2019, respectively. CONCLUSIONS: We found a significant decrease in the diagnosis and treatment of GG1 PC between 2010 and 2018. Changes in PSA screening practices appear as the primary contributor. Public health efforts should be directed toward addressing the increase in the diagnoses of metastatic PC.

Surgical gestures as a method to quantify surgical performance and predict patient outcomes.

How well a surgery is performed impacts a patient's outcomes; however, objective quantification of performance remains an unsolved challenge. Deconstructing a procedure into discrete instrument-tissue "gestures" is a emerging way to understand surgery. To establish this paradigm in a procedure where performance is the most important factor for patient outcomes, we identify 34,323 individual gestures performed in 80 nerve-sparing robot-assisted radical prostatectomies from two international medical centers. Gestures are classified into nine distinct dissection gestures (e.g., hot cut) and four supporting gestures (e.g., retraction). Our primary outcome is to identify factors impacting a patient's 1-year erectile function (EF) recovery after radical prostatectomy. We find that less use of hot cut and more use of peel/push are statistically associated with better chance of 1-year EF recovery. Our results also show interactions between surgeon experience and gesture types-similar gesture selection resulted in different EF recovery rates dependent on surgeon experience. To further validate this framework, two teams independently constructe distinct machine learning models using gesture sequences vs. traditional clinical features to predict 1-year EF. In both models, gesture sequences are able to better predict 1-year EF (Team 1: AUC 0.77, 95% CI 0.73-0.81; Team 2: AUC 0.68, 95% CI 0.66-0.70) than traditional clinical features (Team 1: AUC 0.69, 95% CI 0.65-0.73; Team 2: AUC 0.65, 95% CI 0.62-0.68). Our results suggest that gestures provide a granular method to objectively indicate surgical performance and outcomes. Application of this methodology to other surgeries may lead to discoveries on methods to improve surgery.