Patient Perceptions of Standardized Risk Language Used in American College of Radiology Prostate MRI PIRADS Scores.

INTRODUCTION: Prostate MRI reports utilize standardized language to describe risk of clinically significant prostate cancer(csPCa) from "equivocal"(PI-RADS 3), "likely"(PI-RADS 4), to "highly-likely"(PI-RADS 5). These terms correspond to risks of 11%, 37%, and 70% according to AUA guidelines, respectively. We assessed how men perceive risk associated with standardized PI-RADS language. METHODOLOGY: We conducted a crowdsourced survey of 1,204 men matching a US prostate cancer demographic. We queried participants' risk perception associated with standardized PI-RADS language across increasing contexts: words-only, PI-RADS-sentence, full-report, and full-report-with-numeric-estimate. Median perceived risk (IQR) and absolute under/overestimation compared with AUA standards were reported. Multivariable linear mixed effects analysis identified factors associated with accuracy of risk perception. RESULTS: Median perceived risks of csPCa (IQR) for the word-only context were "equivocal" 50%(50-74), "likely" 75%(68-85), and "highly-likely" 87%(78-92), corresponding to +39%, +38%, +17% overestimation, respectively. Median perceived risks for the PI-RADS-sentence context were 50%(50-50), 75%(68-81), and 90%(80-94) for PI-RADS 3,4,and 5, corresponding to +39%, +38%, +20% overestimation, respectively. Median perceived risks for the full-report context were 50%(35-70), 72%(50-80), and 84%(54-91) for PI-RADS 3,4,and 5, corresponding to +39%, +35%, +14% overestimation, respectively. For the full-report-with-numeric-estimate context describing a PI-RADS 4 lesion, median perceived risk was 70%(50-80), corresponding to +33% overestimation. Including numeric estimates increased correct perception of risk from 3% to 11% (p<0.001), driven by men with higher numeracy (OR1.24,p=0.04). CONCLUSION: Men overestimate risk of csPCa associated with standardized PI-RADS language regardless of context, especially for PI-RADS 3 and 4 lesions. Changes to PI-RADS language or data sharing policies for imaging reports should be considered.

Variation in content discussed by specialty in consultations for clinically localized prostate cancer.

INTRODUCTION: Multidisciplinary consultations improve decisional conflict and guideline-concordant treatment for men with prostate cancer (PC), but differences in the content discussed by specialty during consultations are unknown. METHODS: We audiorecorded and transcribed 50 treatment consultations for localized PC across a multidisciplinary sample of urologists, radiation oncologists, and medical oncologists. Conversation was coded for narrative content using an open coding approach, grouping similar topics into major content areas. The number of words devoted to each content area per consult was used as a proxy for time spent. Multivariable Poisson regression calculated incidence rate ratios (IRR) for content-specific word count across specialties after adjustment for tumor risk and patient demographics. RESULTS: Coders identified 8 narrative content areas: overview of PC; medical history; baseline risk; cancer prognosis; competing risks; treatment options; physician recommendations; and shared decision making (SDM). In multivariable models, specialties significantly differed in proportion of time spent on treatment options, SDM, competing risks, and cancer prognosis. Urologists spent 1.8-fold more time discussing cancer prognosis than medical oncologists (IRR1.80, 95%CI:1.14-2.83) and radiation oncologists (IRR1.84, 95%CI:1.10-3.07). Urologists (IRR11.38, 95%CI:6.62-19.56) and medical oncologists (IRR10.60, 95%CI:6.01-18.72) spent over 10-fold more time discussing competing risks than radiation oncologists. Medical oncologists (IRR2.60, 95%CI:1.65-4.10) and radiation oncologists (IRR1.77, 95%CI:1.06-2.95) spent 2.6- and 1.8-fold more time on SDM than urologists, respectively. CONCLUSIONS: Specialists focus on different content in PC consultations. Our results suggest that urologists should spend more time on SDM and radiation oncologists on competing risks. Our results also highlight the importance of medical oncologists in facilitating SDM.

High-resolution Diffusion-weighted Imaging to Detect Changes in Tumor Size and ADC, and Predict Adverse Biopsy Histology during Prostate Cancer Active Surveillance.

PURPOSE: Majority of men with low-risk prostate cancer can be managed with active surveillance (AS). This study evaluates a high-resolution diffusion-weighted imaging (HR-DWI) technique to predict adverse biopsy histology (AH), defined as Gleason score ≥7 on any biopsy or ≥3 increase in number of positive biopsy cores on systematic biopsies. We test the hypothesis that high-grade disease and progressing disease undergo subtle changes during even short intervals that can be detected by HR-DWI. EXPERIMENTAL DESIGN: In a prospective clinical trial, serial multiparametric MRIs, incorporating HR-DWI and standard DWI (S-DWI) were performed approximately 12 months apart prior to prostate biopsy (n = 59). HR-DWI, which uses reduced field-of-view and motion compensation techniques, was compared with S-DWI. RESULTS: HR-DWI had a 3-fold improvement in spacial resolution compared with S-DWI as confirmed using imaging phantoms. For detecting AH, multiparametric MRI using HR-DWI had a sensitivity of 75% and specificity of 83.9%, and MRI using S-DWI had a sensitivity of 71.4% and specificity of 54.8%. The AUC for HR-DWI was significantly higher (0.794 vs. 0.631, P = 0.014). Secondary analyses of univariable predictors of AH showed tumor size increase [OR 16.8; 95% confidence interval (CI): 4.06-69.48; P < 0.001] and apparent diffusion coefficient (ADC) decrease (OR 5.06; 95% CI: 1.39-18.38; P = 0.014) on HR-DWI were significant predictors of AH. CONCLUSION: HR-DWI outperforms S-DWI in predicting AH. Patient with AH have tumors that change in size and ADC that could be detected using HR-DWI. Future studies with longer follow-up should assess HR-DWI for predicting disease progression during AS. SIGNIFICANCE: We report on a prospective clinical trial using a MRI that has three times the resolution of standard MRI. During AS for prostate cancer, two high-resolution MRIs performed approximately a year apart can detect tumor changes that predict the presence of aggressive cancers that should be considered for curative therapy such as prostatectomy or radiation.

Contemporary risk of biochemical recurrence after radical prostatectomy in the active surveillance era.

OBJECTIVES: To assess whether contemporary risks of biochemical recurrence (BCR) after radical prostatectomy (RP) in the AS era differ from historical estimates due to changes in tumor risk case mix and improvements in risk stratification. MATERIALS AND METHODS: We sampled 6,682 men who underwent RP for clinically localized disease between 2000 and 2017 from the VA SEARCH database. Kaplan Meier analysis was used to calculate incidence of BCR before and after 2010 overall and within tumor risk subgroups. Multivariable Cox proportional hazard regression analysis including an interaction term between era and tumor risk was used to compare risk of BCR before and after 2010 overall and across tumor risk subgroups. RESULTS: About 3,492 (52%) and 3,190 (48%) men underwent RP before and after 2010, respectively. In a limited multivariable model excluding tumor risk, overall BCR risk was higher post-2010 vs. pre-2010 (HR: 1.15, 95%CI: 1.05-1.25; 40% vs 36% at 8 years post-RP). However, this effect was eliminated after correcting for tumor risk (HR: 0.95, 95%CI: 0.87-1.04), suggesting that differences in tumor risk between eras mediated the change. Yet, within tumor-risk subgroups, BCR risk was significantly lower for favorable intermediate-risk (HR: 0.76, 95%CI:0.60-0.96) and unfavorable intermediate-risk PC (HR: 0.78, 95%CI: 0.67-0.90), but significantly higher for high-risk PC (HR: 1.22, 95%CI: 1.07-1.38) in the post-2010 era. 8-year risks of BCR in the post-2010 era were 21% (95%CI: 16%-25%), 25% (95%CI: 20%-30%), 41% (95%CI: 37%-46%), and 60% (95%CI: 56%-64%) for low-, FIR-, UIR-, and high-risk disease, respectively. Limitations include limited long-term follow-up in the post-2010 subgroup. CONCLUSIONS: Overall BCR risk has increased in the AS era, driven by a higher risk case mix and increased BCR risk among high-risk patients. Physicians should quote contemporary estimates of BCR when counseling patients.

Variation in communication of side effects in prostate cancer treatment consultations.

BACKGROUND: Effective communication of treatment side effects (SE) is critical for shared decision-making (SDM) in localized prostate cancer. We sought to qualitatively characterize how physicians communicate SE in consultations. METHODS: We transcribed 50 initial prostate cancer treatment consultations across nine multidisciplinary providers (Urologists, Radiation Oncologists, Medical Oncologists) at our tertiary referral, academic center. Coders identified quotes describing SE and used an inductive approach to establish a hierarchy for granularity of communication: (1) not mentioned, (2) name only, (3) generalization("high"), (4) average incidence without timepoint, (5) average incidence with timepoint, and (6) precision estimate. We reported the most granular mode of communication for each SE throughout the consultation overall and across specialty and tumor risk. RESULTS: Among consultations discussing surgery (n = 40), erectile dysfunction (ED) and urinary incontinence (UI) were omitted in 15% and 12%, not quantified (name only or generalization) in 47% and 30%, and noted as average incidence without timeline in 8% and 8%, respectively. In only 30% and 49% were ED and UI quantified with timeline (average incidence with timeline or precision estimate), respectively. Among consultations discussing radiation (n = 36), irritative urinary symptoms, ED, and other post-radiotherapy SE were omitted in 22%, 42%, and 64-67%, not quantified in 61%, 33%, and 23-28%, and noted as average incidence without timeline in 8%, 22%, and 6-8%, respectively. In only 3-8% were post-radiotherapy SE quantified with timeline. Specialty concordance (but not tumor risk) was associated with higher granularity of communication, though physicians frequently failed to quantify specialty-concordant SE. CONCLUSIONS: SE was often omitted, not quantified, and/or lacked a timeline in treatment consultations in our sample. Physicians should articulate, quantify, and assign a timeline for SE to optimize SDM.

Use of Persuasive Language in Communication of Risk during Prostate Cancer Treatment Consultations.

BACKGROUND: Physician treatment preference may influence how risks are communicated in prostate cancer consultations. We identified persuasive language used when describing cancer prognosis, life expectancy, and side effects in relation to a physician's recommendation for aggressive (surgery/radiation) or nonaggressive (active surveillance/watchful waiting) treatment. METHODS: A qualitative analysis was performed on transcribed treatment consultations of 40 men with low- and intermediate-risk prostate cancer across 10 multidisciplinary providers. Quotes pertaining to cancer prognosis, life expectancy, and side effects were randomized. Coders predicted physician treatment recommendations from isolated blinded quotes. Testing characteristics of consensus predictions against the physician's treatment recommendation were reported. Coders then identified persuasive strategies favoring aggressive/nonaggressive treatment for each quote. Frequencies of persuasive strategies favoring aggressive/nonaggressive treatment were reported. Logistic regression quantified associations between persuasive strategies and physician treatment recommendations. RESULTS: A total of 496 quotes about cancer prognosis (n = 127), life expectancy (n = 51), and side effects (n = 318) were identified. The accuracy of predicting treatment recommendation based on individual quotes containing persuasive language (n = 256/496, 52%) was 91%. When favoring aggressive treatment, persuasive language downplayed side effect risks and amplified cancer risk (recurrence, progression, or mortality). Significant predictors (P < 0.05) of aggressive treatment recommendation included favorable side effect interpretation, downplaying side effects, and long time horizon for cancer risk due to longevity. When favoring nonaggressive treatment, persuasive language amplified side effect risks and downplayed cancer risk. Significant predictors of nonaggressive treatment recommendation included unfavorable side effect interpretation, favorable interpretation of cancer risk, and short time horizon for cancer risk due to longevity. CONCLUSIONS: Physicians use persuasive language favoring their preferred treatment, regardless of whether their recommendation is appropriate. IMPLICATIONS: Clinicians should quantify risk so patients can judge potential harm without solely relying on persuasive language. HIGHLIGHTS: Physicians use persuasive language favoring their treatment recommendation when communicating risks of prostate cancer treatment, which may influence a patient's treatment choice.Coders predicted physician treatment recommendations based on isolated, randomized quotes about cancer prognosis, life expectancy, and side effects with 91% accuracy.Qualitative analysis revealed that when favoring nonaggressive treatment, physicians used persuasive language that amplified side effect risks and downplayed cancer risk. When favoring aggressive treatment, physicians did the opposite.Providers should be cognizant of using persuasive strategies and aim to provide quantified assessments of risk that are jointly interpreted with the patient so that patients can make evidence-based conclusions regarding risks without solely relying on persuasive language.

Investigating trends in interest for benign prostatic hyperplasia surgery options using Google Trends.

Understanding patient interest among surgical options is challenging. We used Google Trends to analyze interest in benign prostatic hyperplasia (BPH) surgeries recommended for prostate volumes <80 cc. Google Trends was queried with five BPH surgeries. Final rank of search terms was TURP, UroLift, Rezum, Aquablation, and Greenlight. Google Trends can be an effective tool for evaluating public interest trends in BPH surgery.

Malpractice Trends Involving Active Surveillance Across Cancers.

OBJECTIVE: To characterize malpractice trends related to active surveillance (AS) as a treatment strategy across cancers. BACKGROUND: Active surveillance is increasingly considered a viable management strategy for low-risk cancers. Since a subset of AS cases will progress, metastasize, or exhibit cancer-related mortality, a significant barrier to implementation is the perceived risk of litigation from missing the window for cure. Data on malpractice trends across cancers are lacking. METHODS: Westlaw Edge and LexisNexis Advance databases were searched from 1990 to 2022 for malpractice cases involving active surveillance in conjunction with thyroid cancer, prostate cancer, kidney cancer, breast cancer, or lymphoma. Queries included unpublished cases, trial orders, jury verdicts, and administrative decisions. Data were compiled on legal allegations, procedures performed, and verdicts or settlements rendered. RESULTS: Five prostate cancer cases were identified that pertained to active surveillance. Two cases involved alleged deliberate indifference from AS as a management strategy but were ruled as following the appropriate standard of care. In contrast, 3 cases involved alleged physician negligence for not explicitly recommending AS as a treatment option after complications from surgery occurred. All cases showed documented informed consent for AS, leading to defense verdicts in favor of the physicians. No cases of AS-related malpractice were identified for other cancer types. CONCLUSIONS: To date, no evidence of successful malpractice litigation for active surveillance in cancer has been identified. Given the legal precedent detailed in the identified cases and increasing support across national guidelines, active surveillance represents a sound management option in appropriate low-risk cancers, with no increased risk of medicolegal exposure.

Retrospective T2 quantification from conventional weighted MRI of the prostate based on deep learning.

Purpose: To develop a deep learning-based method to retrospectively quantify T2 from conventional T1- and T2-weighted images. Methods: Twenty-five subjects were imaged using a multi-echo spin-echo sequence to estimate reference prostate T2 maps. Conventional T1- and T2-weighted images were acquired as the input images. A U-Net based neural network was developed to directly estimate T2 maps from the weighted images using a four-fold cross-validation training strategy. The structural similarity index (SSIM), peak signal-to-noise ratio (PSNR), mean percentage error (MPE), and Pearson correlation coefficient were calculated to evaluate the quality of network-estimated T2 maps. To explore the potential of this approach in clinical practice, a retrospective T2 quantification was performed on a high-risk prostate cancer cohort (Group 1) and a low-risk active surveillance cohort (Group 2). Tumor and non-tumor T2 values were evaluated by an experienced radiologist based on region of interest (ROI) analysis. Results: The T2 maps generated by the trained network were consistent with the corresponding reference. Prostate tissue structures and contrast were well preserved, with a PSNR of 26.41 ± 1.17 dB, an SSIM of 0.85 ± 0.02, and a Pearson correlation coefficient of 0.86. Quantitative ROI analyses performed on 38 prostate cancer patients revealed estimated T2 values of 80.4 ± 14.4 ms and 106.8 ± 16.3 ms for tumor and non-tumor regions, respectively. ROI measurements showed a significant difference between tumor and non-tumor regions of the estimated T2 maps (P < 0.001). In the two-timepoints active surveillance cohort, patients defined as progressors exhibited lower estimated T2 values of the tumor ROIs at the second time point compared to the first time point. Additionally, the T2 difference between two time points for progressors was significantly greater than that for non-progressors (P = 0.010). Conclusion: A deep learning method was developed to estimate prostate T2 maps retrospectively from clinically acquired T1- and T2-weighted images, which has the potential to improve prostate cancer diagnosis and characterization without requiring extra scans.

Impact of Asian Race on Prognosis in De Novo Metastatic Prostate Cancer.

BACKGROUND: Little is known about the impact of Asian race on the long-term survival outcomes of males with de novo metastatic prostate cancer (PCa). Understanding racial disparities in survival is critical for accurate prognostic risk stratification and for informing the design of multiregional clinical trials. METHODS: This multiple-cohort study included individual patient-level data for males with de novo metastatic PCa from the following 3 cohorts: LATITUDE clinical trial data (n=1,199), the SEER program (n=15,476), and the National Cancer Database (NCDB; n=10,366). Primary outcomes were overall survival (OS) in LATITUDE and NCDB and OS and cancer-specific survival in SEER. RESULTS: Across all 3 cohorts, Asian patients diagnosed with de novo metastatic PCa had better survival than white patients. In LATITUDE, median OS was significantly longer in Asian versus white patients in the androgen deprivation therapy (ADT) + abiraterone + prednisone group (not reached vs 43.8 months; hazard ratio [HR], 0.45; 95% CI, 0.28-0.73; P=.001) as well as in the ADT + placebo group (57.6 vs 32.7 months; HR, 0.51; 95% CI, 0.33-0.78; P=.002). In SEER, among all patients diagnosed with de novo metastatic PCa, median OS was significantly longer in Asian versus white males (49 vs 39 months; HR, 0.76; 95% CI, 0.68-0.84; P<.001). Among those who received chemotherapy, Asian patients again had longer OS (52 vs 42 months; HR, 0.71; 95% CI, 0.52-0.96; P=.025). Using data on cancer-specific survival in SEER resulted in similar conclusions. In NCDB, Asian patients also had longer OS than white patients in aggregate and in subgroups of males treated with ADT or chemotherapy (aggregate: 38 vs 26 months; HR, 0.72; 95% CI, 0.62-0.83; P<.001; ADT subgroup: 41 vs 26 months; HR, 0.71; 95% CI, 0.60-0.84; P<.001; chemotherapy subgroup: 34 vs 25 months; HR, 0.67; 95% CI, 0.57-0.78; P<.001). CONCLUSIONS: Asian males have better OS and cancer-specific survival than white males with metastatic PCa across different treatment regimens. This should be considered when assessing prognosis and in designing multinational clinical trials.

Disparities in COVID-19 Disease Incidence by Income and Vaccination Coverage - 81 Communities, Los Angeles, California, July 2020-September 2021.

COVID-19 has disproportionately affected socially vulnerable communities characterized by lower income, lower education attainment, and higher proportions of minority populations, among other factors (1-4). Disparities in COVID-19 incidence and the impact of vaccination on incidence disparities by community income were assessed among 81 communities in Los Angeles, California. Median community vaccination coverage and COVID-19 incidence were calculated across household income strata using a generalized linear mixed effects model with Poisson distribution during three COVID-19 surge periods: two before vaccine availability (July 2020 and January 2021) and the third after vaccines became widely available in April 2021 (September 2021). Adjusted incidence rate ratios (aIRRs) during the peak month of each surge were compared across communities grouped by median household income percentile. The aIRR between communities in the lowest and highest median income deciles was 6.6 (95% CI = 2.8-15.3) in July 2020 and 4.3 (95% CI = 1.8-9.9) in January 2021. However, during the September 2021 surge that occurred after vaccines became widely availabile, model estimates did not identify an incidence disparity between the highest- and lowest-income communities (aIRR = 0.80; 95% CI = 0.35-1.86). During this surge, vaccination coverage was lowest (59.4%) in lowest-income communities and highest (71.5%) in highest-income communities (p<0.001). However, a significant interaction between income and vaccination on COVID-19 incidence (p<0.001) indicated that the largest effect of vaccination on disease incidence occured in the lowest-income communities. A 20% increase in community vaccination was estimated to have resulted in an additional 8.1% reduction in COVID-19 incidence in the lowest-income communities compared with that in the highest-income communities. These findings highlight the importance of improving access to vaccination and reducing vaccine hesitancy in underserved communities in reducing disparities in COVID-19 incidence.

The impact of life expectancy on cost-effectiveness of treatment options for clinically localized prostate cancer.

BACKGROUND: Life expectancy (LE) impacts effectiveness and morbidity of prostate cancer (CaP) treatment, but its impact on cost-effectiveness is unknown. We sought to evaluate the impact of LE on the cost-effectiveness of radical prostatectomy (RP), radiation therapy (RT), and active surveillance (AS) for clinically localized disease. METHODS: We created a Markov model to calculate incremental cost-effectiveness ratios (ICERs) for RP, RT, and AS over a 20-year time horizon from a Medicare payer perspective for low- and intermediate-risk CaP. Mortality outcomes varied by tumor risk and PCCI score, a validated proxy for LE. We performed 1,000 Monte Carlo simulations with 1-way sensitivity analyses of PCCI within each tumor risk subgroup to compare cost/quality-adjusted life years (QALYs) between treatments. RESULTS: AS dominated RP and RT for low- and intermediate-risk disease in men with LE ≤10 years (PCCI ≥7 and ≥9, respectively). However, AS failed to dominate RP and RT for men with longer LE. For men with low-risk cancer and LE>10 years (PCCI 0-6), AS had the greatest effectiveness, but failed to dominate due to higher cost relative to RP. For men with intermediate-risk cancer with LE>10 years, AS failed to dominate due to higher cost relative to RP (PCCI 0-8) and lower effectiveness relative to RT (PCCI 0-3). The range of QALYs between RP, RT, and AS varied <13% (range: 0%-12.9%) while costs varied up to 521% (range 0.5%-521%) across PCCI scores. CONCLUSIONS: LE strongly modulates the cost of CaP treatments. This results in AS dominating RP and RT in men with LE ≤10 years. However, in men with longer LE, AS fails to dominate primarily due to its high cumulative costs, underscoring the need for risk-adjusted AS protocols.

Concurrent prognostic utility of lymph node count and lymph node density for men with pathological node-positive prostate cancer.

BACKGROUND: While both the number (+LN) and density (LND) of metastatic lymph nodes on radical prostatectomy lymphadenectomy predict mortality in prostate cancer, the independent impact of each on overall mortality (OM) is unknown. METHODS: We sampled men who underwent radical prostatectomy and lymphadenectomy between 2004 and 2013 from the National Cancer Database. Multivariable Cox proportional hazards analysis with restricted cubic spline was used to assess the non-linear association of +LN count and LND with OM. RESULTS: Of 229,547 men in our sample, 3% (n = 7507) had +LNs, of which 89% had 1-3 +LN and 11% had ≥4 +LN. In multivariable Cox analysis across all patients, OM increased with each additional +LN up to four (HR 1.14, 95%CI 1.06-1.23 per node), with no increase beyond 4 +LN. LND was an independent predictor of OM (HR 1.09, 95%CI 1.06-1.12 per 10% increase). However, after excluding patients with inadequate nodal sampling (<5 LN examined), the variation in OM explained by LND was negligible for patients with ≤3 +LN. In men with 1, 2, and 3 +LN, there was a 0.28%, 0.02%, and 0.50% increase in OM for each 10% increase in LND, compared with 1.9% and 1.6% for men with 4 or 5+ LNs. CONCLUSIONS: While +LN count and LND independently predict OM, the impact of LND is negligible in men with ≤3 +LN, who comprise the vast majority of men with +LN. Pathological nodal staging should primarily rely on LN count rather than LND.

Prostate cancer extracellular vesicle digital scoring assay - a rapid noninvasive approach for quantification of disease-relevant mRNAs.

Optimizing outcomes in prostate cancer (PCa) requires precision in characterization of disease status. This effort was directed at developing a PCa extracellular vesicle (EV) Digital Scoring Assay (DSA) for detecting metastasis and monitoring progression of PCa. PCa EV DSA is comprised of an EV purification device (i.e., EV Click Chip) and reverse-transcription droplet digital PCR that quantifies 11 PCa-relevant mRNA in purified PCa-derived EVs. A Met score was computed for each plasma sample based on the expression of the 11-gene panel using the weighted Z score method. Under optimized conditions, the EV Click Chips outperformed the ultracentrifugation or precipitation method of purifying PCa-derived EVs from artificial plasma samples. Using PCa EV DSA, the Met score distinguished metastatic (n = 20) from localized PCa (n = 20) with an area under the receiver operating characteristic curve of 0.88 (95% CI:0.78-0.98). Furthermore, longitudinal analysis of three PCa patients showed the dynamics of the Met scores reflected clinical behavior even when disease was undetectable by imaging. Overall, a sensitive PCa EV DSA was developed to identify metastatic PCa and reveal dynamic disease states noninvasively. This assay may complement current imaging tools and blood-based tests for timely detection of metastatic progression that can improve care for PCa patients.

Validation of the prostate cancer comorbidity index in predicting cause-specific mortality in men undergoing radical prostatectomy.

PURPOSE: Accurate prediction of competing risks of mortality remains a key component of prostate cancer treatment decision-making. We sought to validate the Prostate Cancer Comorbidity Index (PCCI) score for predicting other-cause mortality (OCM) and cancer outcomes in men undergoing radical prostatectomy (RP). MATERIALS AND METHODS: We sampled 4857 men with prostate cancer treated with RP in the VA from 2000-2018. Risks of OCM, 90-day all-cause mortality (ACM), prostate cancer-specific mortality, metastasis, and biochemical recurrence by PCCI score were assessed using Cox proportional hazards and logistic regression. We compared prediction of 90-day ACM between PCCI and the American Society of Anesthesiology (ASA) score, a validated predictor of short-term mortality. RESULTS: Over median follow-up of 6.7 years (IQR 3.7-10.3), there was a stepwise increase in risk of OCM with higher PCCI score, with hazards (95%CI) of 1.53 (1.14-2.04), 2.11 (1.55-2.88), 2.36 (1.68-3.31), 3.61 (2.61-4.98), and 4.99 (3.58-6.96) for PCCI 1-2, 3-4, 5-6, 7-9, and 10 + (vs. 0), respectively. Projected 10-year cumulative incidence of OCM was 8%, 12%, 16%, 19%, 26%, and 32% for scores of 0, 1-2, 3-4, 5-6, 7-9, and 10+ , respectively. Men with PCCI 7+ had greater odds of 90-day ACM (OR 3.48, 95%CI 1.26-9.63) while men with higher ASA did not. Higher PCCI score was associated with worse cancer outcomes, with the highest categories driving the associations. CONCLUSIONS: The PCCI is a robust measure of short- and long-term OCM after RP, validated for use in clinical care and health services research focusing on surgical patient populations.

Campaign Reform for US News and World Report Rankings.

This Viewpoint discusses the perceived importance of US News and World Report hospital rankings and concerns with using specialty voting to dominate the assessment of process.

Expanded Parameters in Active Surveillance for Low-risk Papillary Thyroid Carcinoma: A Nonrandomized Controlled Trial.

Importance: Unlike for prostate cancer, active surveillance for thyroid cancer has not achieved wide adoption. The parameters by which this approach is feasible are also not well defined, nor is the effect of patient anxiety. Objective: To determine if expanded size/growth parameters for patients with low-risk thyroid cancer are viable, as well as to assess for cohort differences in anxiety. Design, Setting, and Participants: This prospective nonrandomized controlled trial was conducted at a US academic medical center from 2014 to 2021, with mean [SD] 37.1 [23.3]-month follow-up. Of 257 patients with 20-mm or smaller Bethesda 5 to 6 thyroid nodules, 222 (86.3%) enrolled and selected treatment with either active surveillance or immediate surgery. Delayed surgery was recommended for size growth larger than 5 mm or more than 100% volume growth. Patients completed the 18-item Thyroid Cancer Modified Anxiety Scale over time. Interventions: Active surveillance. Main Outcomes and Measures: Cumulative incidence and rate of size/volume growth. Results: Of the 222 patients enrolled, the median (IQR) age for the study population was 46.8 (36.6-58) years, and 76.1% were female. Overall, 112 patients (50.5%) underwent treatment with active surveillance. Median tumor size was 11.0 mm (IQR, 9-15), and larger tumors (10.1-20.0 mm) comprised 67 cases (59.8%). One hundred one (90.1%) continued to receive treatment with active surveillance, 46 (41.0%) had their tumors shrink, and 0 developed regional/distant metastases. Size growth of more than 5 mm was observed in 3.6% of cases, with cumulative incidence of 1.2% at 2 years and 10.8% at 5 years. Volumetric growth of more than 100% was observed in 7.1% of cases, with cumulative incidence of 2.2% at 2 years and 13.7% at 5 years. Of 110 patients who elected to undergo immediate surgery, 21 (19.1%) had equivocal-risk features discovered on final pathology. Disease severity for all such patients remained classified as stage I. Disease-specific and overall survival rates in both cohorts were 100%. On multivariable analysis, immediate surgery patients exhibited significantly higher baseline anxiety levels compared with active surveillance patients (estimated difference in anxiety scores between groups at baseline, 0.39; 95% CI, 0.22-0.55; P < .001). This difference endured over time, even after intervention (estimated difference at 4-year follow-up, 0.50; 95% CI, 0.21-0.79; P = .001). Conclusions and Relevance: The results of this nonrandomized controlled trial suggest that a more permissive active surveillance strategy encompassing most diagnosed thyroid cancers appears viable. Equivocal-risk pathologic features exist in a subset of cases that can be safely treated, but suggest the need for more granular risk stratification. Surgery and surveillance cohorts possess oppositional levels of worry, elevating the importance of shared decision-making when patients face treatment equivalence. Trial Registration: ClinicalTrials.gov Identifier: NCT02609685.

Lifestyle and sociodemographic factors associated with treatment choice of clinically localized prostate cancer in an equal access healthcare system.

Sociodemographic and lifestyle factors may play a role in determining whether patients with clinically localized prostate cancer (PC) are managed with active surveillance (AS), radical prostatectomy (RP), or radiation therapy (RT); however, these relationships have not been well examined. In a cross-sectional study conducted within an equal access healthcare system, multivariable adjusted regression analysis revealed that living with a spouse or partner was associated with a 65% lower chance of being managed by RT (P = 0.001) and 57% lower risk of being managed by AS (P = 0.042) compared with RP. No other sociodemographic or lifestyle factors were independently associated with treatment modality.

Variation in Communication of Competing Risks of Mortality in Prostate Cancer Treatment Consultations.

PURPOSE: Men with prostate cancer prefer patient-specific, quantitative assessments of longevity in shared decision making. We sought to characterize how physicians communicate the 3 components of competing risks-life expectancy (LE), cancer prognosis and treatment-related survival benefit-in treatment consultations. MATERIALS AND METHODS: Conversation related to LE, cancer prognosis and treatment-related survival benefit was identified in transcripts from treatment consultations of 42 men with low- and intermediate-risk disease across 10 multidisciplinary providers. Consensus of qualitative coding by multiple reviewers noted the most detailed mode of communication used to describe each throughout the consultation. RESULTS: Physicians frequently failed to provide patient-specific, quantitative estimates of LE and cancer mortality. LE was omitted in 17% of consultations, expressed as a generalization (eg "long"/"short") in 17%, rough number of years in 31%, probability of mortality/survival at an arbitrary timepoint in 17% and in only 19% as a specific number of years. Cancer mortality was omitted in 24% of consultations, expressed as a generalization in 7%, years of expected life in 2%, probability at no/arbitrary timepoint in 40% and in only 26% as the probability at LE. Treatment-related survival benefit was often omitted; cancer mortality was reported without treatment in 38%, with treatment in 10% and in only 29% both with and without treatment. Physicians achieved "trifecta"-1) quantifying probability of cancer mortality 2) with and without treatment 3) at the patient's LE-in only 14% of consultations. CONCLUSIONS: Physicians often fail to adequately quantify competing risks. We recommend the "trifecta" approach, reporting 1) probability of cancer mortality 2) with and without treatment 3) at the patient's LE.