Patterns and Disparities in Telehealth Usage During the COVID-19 Pandemic Across Surgical Specialties.

Background: The COVID-19 pandemic has accelerated telehealth usage. This study aims to understand the impact of sociodemographic factors on telehealth usage during COVID-19 among surgical specialties. Methods: Our data contain surgical outpatient visits at an academic center from five periods between 2019 and 2020. A difference-in-differences regression model was used to examine the effect of exposure variables on virtual visit proportions between prepandemic and postpandemic time periods. Results: Compared with white patients, non-Medicare beneficiaries, and English-proficient patients, the rate of uptake in telehealth visits from prepandemic to postpandemic periods was lower for black patients, Medicare beneficiaries, and non-English-speaking patients, respectively. Surgical subspecialties saw varied usage of telehealth. A strong preference for phone visits by black patients, Medicare beneficiaries, and non-English-speaking patients existed. Conclusion: Phone visits are an important resource for marginalized communities. Understanding disparities in telemedicine usage may inform policy that could alleviate inequities in health care access.

Promoting the use of the PI-QUAL score for prostate MRI quality: results from the ESOR Nicholas Gourtsoyiannis teaching fellowship.

OBJECTIVES: The Prostate Imaging Quality (PI-QUAL) score is a new metric to evaluate the diagnostic quality of multiparametric magnetic resonance imaging (MRI) of the prostate. This study assesses the impact of an intervention, namely a prostate MRI quality training lecture, on the participant's ability to apply PI-QUAL. METHODS: Sixteen participants (radiologists, urologists, physicists, and computer scientists) of varying experience in reviewing diagnostic prostate MRI all assessed the image quality of ten examinations from different vendors and machines. Then, they attended a dedicated lecture followed by a hands-on workshop on MRI quality assessment using the PI-QUAL score. Five scans assessed by the participants were evaluated in the workshop using the PI-QUAL score for teaching purposes. After the course, the same participants evaluated the image quality of a new set of ten scans applying the PI-QUAL score. Results were assessed using receiver operating characteristic analysis. The reference standard was the PI-QUAL score assessed by one of the developers of PI-QUAL. RESULTS: There was a significant improvement in average area under the curve for the evaluation of image quality from baseline (0.59 [95 % confidence intervals: 0.50-0.66]) to post-teaching (0.96 [0.92-0.98]), an improvement of 0.37 [0.21-0.41] (p < 0.001). CONCLUSIONS: A teaching course (dedicated lecture + hands-on workshop) on PI-QUAL significantly improved the application of this scoring system to assess the quality of prostate MRI examinations. KEY POINTS: • A significant improvement in the application of PI-QUAL for the assessment of prostate MR image quality was observed after an educational intervention. • Appropriate training on image quality can be delivered to those involved in the acquisition and interpretation of prostate MRI. • Further investigation will be needed to understand the impact on improving the acquisition of high-quality diagnostic prostate MR examinations.

Impact of COVID-19 pandemic on ambulatory urologic oncology surgeries.

INTRODUCTION: Robot-assisted laparoscopic prostatectomy (RALP) and transurethral resection of bladder tumor (TURBT) are two common surgeries for prostate and bladder cancer. We aim to assess the trends in the site of care for RALP and TURBT before and after the COVID outbreak. MATERIALS AND METHODS: We identified adults who underwent RALP and TURBT within the California Healthcare Cost and Utilization Project State Inpatient Database and the State Ambulatory Surgery Database between 2018 and 2020. Multivariable analysis and spline analysis with a knot at COVID outbreak were performed to investigate the time trend and factors associated with ambulatory RALP and TURBT. RESULTS: Among 17,386 RALPs, 6,774 (39.0%) were ambulatory. Among 25,070 TURBTs, 21,573 (86.0%) were ambulatory. Pre-COVID, 33.5% of RALP and 85.3% and TURBT were ambulatory, which increased to 53.8% and 88.0% post-COVID (both p < 0.001). In multivariable model, RALP and TURBT performed after outbreak in March 2020 were more likely ambulatory (OR 2.31, p < 0.0001; OR 1.25, p < 0.0001). There was an overall increasing trend in use of ambulatory RALP both pre- and post-COVID, with no significant change of trend at the time of outbreak (p = 0.642). TURBT exhibited an increased shift towards ambulatory sites post-COVID (p < 0.0001). CONCLUSIONS: We found a shift towards ambulatory RALP and TURBT following COVID outbreak. There was a large increase in ambulatory RALP post-COVID, but the trend of change was not significantly different pre- and post-COVID - possibly due to a pre-existing trend towards ambulatory RALP which predated the pandemic.

Geographic Variability, Time Trends and Association of Preoperative Magnetic Resonance Imaging with Surgical Outcomes for Elderly United States Men with Prostate Cancer: A Surveillance, Epidemiology, and End Results-Medicare Analysis.

PURPOSE: Our goal was to assess patterns of adoption and population-level outcomes of prostate magnetic resonance imaging (MRI) and association with surgical outcomes across a sample of U.S. elderly. MATERIALS AND METHODS: This population-based retrospective study used Surveillance Epidemiology, and End Results-Medicare linked data from 2003-2016 to identify men receiving prostatectomy for prostate cancer. We characterized the proportion of men receiving preoperative MRI in each year and in each hospital referral region (HRR). A 2-stage instrumental variable analysis was performed to assess the association of preoperative MRI with margin status, surgical complications and further cancer-directed therapies. RESULTS: A total of 19,369 men received prostatectomy in 72 HRRs; the mean age was 70.2 years (SD 3.2). The proportion of men receiving a preoperative MRI increased from 2.9% to 28.2% over the study period and ranged from 0.0% to 28.8% in the different HRRs. In our instrumental variable analysis, preoperative MRI was associated with lower odds of positive surgical margin (OR 0.84, 95% CI 0.72-0.97, p=0.01) lower odds of blood transfusions at 30 and 90 days (OR 0.56, 95% CI 0.38-0.83, p=0.003 and OR 0.58, 95% CI 0.41-0.84, p=0.004) but higher odds of further treatments (OR 1.49, 95% CI 1.32-1.70, p <0.001). CONCLUSIONS: Given that a minority of men receive presurgical MRIs with marked geographic variability, the association of MRI with lower odds of positive surgical margin suggests that efforts to support the dissemination of prostate MRI may improve surgical outcomes-but may come with a tendency for more resource-intensive cancer care overall.

A Phase II Prospective Blinded Trial of Magnetic Resonance Imaging and In-Bore Biopsy in Active Surveillance for Prostate Cancer.

OBJECTIVE: To demonstrate the added benefit of multiparametric (mp)MRI risk stratification during active surveillance. METHODS: This prospective, single-arm, nonrandomized study included 82 men with low-risk prostate cancer (PCa). We compared two biopsy strategies in parallel. The first biopsy strategy was an in-bore and transrectal ultrasound (TRUS) biopsy in men with suspicious mpMRI findings. The second was a TRUS biopsy in all 82 men, blinded to the results of the previously performed mpMRI. RESULTS: We identified 27/82 men with suspicious mpMRI. Of those 27 men, we detected 8/27 with csPCa on biopsy, and we identified two men with in-bore biopsy exclusively, three men with TRUS biopsy exclusively, and three men with both biopsy strategies. Of the 55/82 men with nonsuspicious mpMRI (who only received TRUS biopsies), two men had csPCa. TRUS biopsy of the entire cohort of 82 men would have led to the correct diagnosis of 80% men with csPCa, requiring all 82 men to receive biopsies (csPCa in 10% of the 82 biopsies). Conducting in-bore biopsies plus TRUS biopsies in men with suspicious mpMRI would have also led to the detection of 80% of men with csPCa, requiring only 27 men to receive biopsies (csPCa in 30% of the 27 biopsies). CONCLUSION: The combination of TRUS and in-bore biopsies, limited to men with suspicious mpMRI, resulted in a similar detection rate of csPCa compared to TRUS biopsies of all men but required only one-third of men to undergo biopsy. Our results indicate that in-bore and TRUS biopsies continue to complement each other.

Racial Differences in Germline Genetic Testing for Prostate Cancer: A Systematic Review.

PURPOSE: Testing for pathogenic variants can aid in oncologic risk stratification and identification of targeted therapies. Despite known disparities in access to prostate cancer (PCa) care, little has been written about access to germline genetic testing (GGT) for Black men and other historically marginalized populations. This systematic review sought to delineate racial/ethnic disparities in GGT for PCa. METHODS: This systematic review identified articles published from January 1996 through May 2021 in PubMed, Web of Science, and Embase. We included studies that reported rates of GGT in men with PCa in the United States by race/ethnicity as reflective of routine clinical care or research. A narrative synthesis was performed. RESULTS: Of 4,309 unique records, 91 studies examining 50 unique study populations met inclusion criteria. Of these, four populations included men who received GGT through routine clinical care, accounting for 4,415 men (72.6% White and 7.2% Black). The other 46 populations included men who received GGT as part of a research study, accounting for 30,824 men (64.3% White and 21.6% Black). Of these 46 research populations, 19 used targeted methods to increase recruitment from a specific demographic. CONCLUSION: Most studies that report GGT rates by race/ethnicity are in research settings. Many of these studies used targeted recruitment methods and subsequently have a greater proportion of Black men than clinical and US population-based studies. Other historically marginalized populations are not well represented. There remains a knowledge gap regarding the extent of racial disparities in the use of GGT, particularly in the clinical setting.

Is perfect the enemy of good? Weighing the evidence for biparametric MRI in prostate cancer.

The role of multiparametric MRI in diagnosis, staging and treatment planning for prostate cancer is well established. However, there remain several challenges to widespread adoption. One such challenge is the duration and cost of the examination. Abbreviated exams omitting contrast-enhanced sequences may help address this challenge. In this review, we will discuss the rationale for biparametric MRI for detection and characterization of clinically significant prostate cancer prior to biopsy and synthesize the published literature. We will weigh up the advantages and disadvantages to this approach and lay out a conceptual cost/benefit analysis regarding adoption of biparametric MRI.

Domain adaptation for segmentation of critical structures for prostate cancer therapy.

Preoperative assessment of the proximity of critical structures to the tumors is crucial in avoiding unnecessary damage during prostate cancer treatment. A patient-specific 3D anatomical model of those structures, namely the neurovascular bundles (NVB) and the external urethral sphincters (EUS), can enable physicians to perform such assessments intuitively. As a crucial step to generate a patient-specific anatomical model from preoperative MRI in a clinical routine, we propose a multi-class automatic segmentation based on an anisotropic convolutional network. Our specific challenge is to train the network model on a unique source dataset only available at a single clinical site and deploy it to another target site without sharing the original images or labels. As network models trained on data from a single source suffer from quality loss due to the domain shift, we propose a semi-supervised domain adaptation (DA) method to refine the model's performance in the target domain. Our DA method combines transfer learning and uncertainty guided self-learning based on deep ensembles. Experiments on the segmentation of the prostate, NVB, and EUS, show significant performance gain with the combination of those techniques compared to pure TL and the combination of TL with simple self-learning ([Formula: see text] for all structures using a Wilcoxon's signed-rank test). Results on a different task and data (Pancreas CT segmentation) demonstrate our method's generic application capabilities. Our method has the advantage that it does not require any further data from the source domain, unlike the majority of recent domain adaptation strategies. This makes our method suitable for clinical applications, where the sharing of patient data is restricted.