Faculty Bibliography

The current fee-for-service system for health care reimbursement in the United Stated is argued to encourage fragmented care delivery and a lack of accountability that predisposes to insufficient focus on quality as well as unnecessary or duplicative resource utilization. Episode payment models (EPMs) seek to improve coordination by linking payments for all services related to a patient's condition or procedure, thereby improving quality and efficiency of care. The CMS Innovation Center has implemented a broadening array of EPMs. Early models with relevance to radiologists include Bundled Payment for Care Improvement (involving 48 possible clinical conditions), Comprehensive Care for Joint Replacement (involving knee and hip replacement), and the Oncology Care Model (involving chemotherapy). In July 2016, CMS expanded the range of EPMs through three new models with mandatory hospital participation addressing inpatient and 90-day postdischarge care for acute myocardial infarction, coronary artery bypass graft, and surgical hip and femur fracture treatment. Moreover, some of the EPMs include tracks that allow participating entities to qualify as an Advanced Alternative Payment Model under the Medicare Access and CHIP Reauthorization Act (MACRA), reaping the associated reporting and payment benefits. Even though none of the available EPMs are radiology specific, the models will nevertheless likely influence reimbursements for some radiologists. Thus, radiologists should partner with hospitals and other specialties in care coordination through these episode-based initiatives, thereby having opportunities to apply their imaging expertise to help lower spending while improving quality and overall levels of health.

Purpose To compare standard diffusion-weighted (DW) imaging and diffusion kurtosis (DK) imaging for prostate cancer (PC) detection and characterization in a large patient cohort, with attention to the potential added value of DK imaging. Materials and Methods This retrospective institutional review board-approved study received a waiver of informed consent. Two hundred eighty-five patients with PC underwent 3.0-T phased-array coil prostate magnetic resonance (MR) imaging, including a DK imaging sequence (b values 0, 500, 1000, 1500, and 2000 sec/mm2) before prostatectomy. Maps of apparent diffusion coefficient (ADC) and diffusional kurtosis (K) were derived by using maximal b values of 1000 and 2000 sec/mm2, respectively. Mean ADC and K were obtained from volumes of interest (VOIs) placed on each patient's dominant tumor and benign prostate tissue. Metrics were compared between benign and malignant tissue, between Gleason score (GS) /= 3 + 4 tumors, and between GS /= 4 + 3 tumors by using paired t tests, analysis of variance, receiver operating characteristic (ROC) analysis, and exact tests. Results ADC and K showed significant differences for benign versus tumor tissues, GS /= 3 + 4 tumors, and GS /= 4 + 3 tumors (P < .001 for all). ADC and K were highly correlated (r = -0.82; P < .001). Area under the ROC curve was significantly higher (P = .002) for ADC (0.921) than for K (0.902) for benign versus malignant tissue but was similar for GS /= 3 + 4 tumors (0.715-0.744) and GS /= 4 + 3 tumors (0.694-0.720) (P > .15). ADC and K were concordant for these various outcomes in 80.0%-88.6% of patients; among patients with discordant results, ADC showed better performance than K for GS /= 4 + 3 tumors (P = .016) and was similar to K for other outcomes (P > .136). Conclusion ADC and K were highly correlated, had similar diagnostic performance, and were concordant for the various outcomes in the large majority of cases. These observations did not show a clear added value of DK imaging compared with standard DW imaging for clinical PC evaluation. (c) RSNA, 2017 Online supplemental material is available for this article.

To use Twitter to assess the immediate public response to the United States Preventive Services Task Force (USPSTF) 2013 draft guidelines on lung cancer screening with low-dose chest CT (LDCT). The number of tweets including the phrases "lung cancer screening," "lung CT," "chest CT," "low dose computed tomography," "low dose CT," or "LDCT" was recorded for 6 days before and after guidelines release. A systematic sample of 172 tweets from the week following release was coded for user type, tweet opinion, linked article source, and article opinion. Following guidelines' release, the number of daily tweets increased from 13 +/- 8 to 311 +/- 395. The 172 tweets in the week following release were tweeted by 166 unique users including: news organizations/online news gathering accounts (34.9%), general public (21.7%), physicians (12.0%, 6 radiologists), and businesses (11.4%). 23.3% of tweets provided opinion on the guidelines (50.0% favorable, 27.5% concerned toward screening). Most (91.3%) tweets contained links to a total of 46 unique articles, which were authored by lay press (41.3%), non-peer-reviewed medical press (32.6%), and hospital/medical practice websites (10.9%). Among these, 50.0% were favorable, citing mortality reduction (87.0%), published data supporting screening (50.0%), and early detection (43.5%), while 28.3% expressed concern, including false positives (58.9%) and radiation risk (39.1%). Twitter activity rose rapidly after the USPSTF draft guidelines on LDCT. Most users were non-physicians and frequently cited non-peer-reviewed articles. Users maintained an overall favorable view of screening, while expressing various concerns. Considerable opportunity exists for greater radiologist engagement in this online public dialog.

PURPOSE: To assess the impact of patient race and age on the performance of apparent diffusion coefficient (ADC) values for assessment of prostate cancer aggressiveness. MATERIALS AND METHODS: 457 prostate cancer patients who underwent 3T phased-array coil prostate MRI including diffusion-weighted imaging (DWI; maximal b-value 1000 s/mm2) before prostatectomy were included. Mean ADC of a single dominant lesion was measured in each patient, using histopathologic findings from the prostatectomy specimen as reference. In subsets defined by race and age, ADC values were compared between Gleason score (GS) /= 4 + 3 tumors. RESULTS: 81% of patients were Caucasian, 12% African-American, 7% Asian-American. 13% were <55 years, 42% 55-64 years, 41% 65-74 years, and 4% >/=75 years. 63% were GS /= 4 + 3. ADC was significantly lower in GS >/= 4 + 3 tumors than in GS /= 4 + 3 as well as optimal ADC threshold was Caucasian: 0.73//=75 years, 0.79//=75 years than <55 years or 55-64 years (100.0% vs. 53.6%-73.3%; P < 0.001). CONCLUSION: Patients' race and age may impact the diagnostic performance and optimal threshold when applying ADC values for evaluation of prostate cancer aggressiveness.

The Medicare Access and CHIP Reauthorization Act (MACRA) of 2015 describes alternative payment models (APMs) as new approaches to health care payment that incentivize higher quality and value. MACRA incentivizes increasing APM participation by all physician specialties over the coming years. Some APMs will be deemed Advanced APMs; clinicians who are a Qualifying Participant in an Advanced APM will receive substantial benefits under MACRA including an automatic 5% payment bonus, regardless of their performance and savings within the APM, and a larger payment rate increase beginning in 2026. Existing APMs are most relevant to primary care physicians, and opportunities for radiologists to participate in Advanced APMs fulfilling Qualified Participant requirements are limited. Physician-Focused Payment Models (PFPMs), as described in MACRA, are APMs that target physicians' Medicare payments based on quality and cost of physician services. PFPMs must address a new issue or specialty compared with existing APMs and will thus foster a more diverse range of APMs encompassing a wider range of specialties. The PFPM Technical Advisory Committee is a new independent agency that will review proposals for new PFPMs and provide recommendations to CMS regarding their approval. The PFPM Technical Advisory Committee comprises largely primary care physicians and health policy experts and is not required to consult clinical experts when reviewing new specialist-proposed PFPMs. As PFPMs provide a compelling opportunity for radiologists to demonstrate and be rewarded for their unique contributions toward patient care, radiologists should embrace this new model and actively partner with other stakeholders in developing radiology-relevant PFPMs.

PURPOSE: The aim of this study was to assess relationships between county-level variation in Medicare beneficiary imaging resource consumption and measures of population economic status. METHODS: The 2013 CMS Geographic Variation Public Use File was used to identify county-level per capita Medicare fee-for-service imaging utilization and nationally standardized costs to the Medicare program. The County Health Rankings public data set was used to identify county-level measures of population economic status. Regional variation was assessed, and multivariate regressions were performed. RESULTS: Imaging events per 1,000 Medicare beneficiaries varied 1.8-fold (range, 2,723-4,843) at the state level and 5.3-fold (range, 1,228-6,455) at the county level. Per capita nationally standardized imaging costs to Medicare varied 4.2-fold (range, $84-$353) at the state level and 14.1-fold (range, $33-$471) at the county level. Within individual states, county-level utilization varied on average 2.0-fold (range, 1.1- to 3.1-fold), and costs varied 2.8-fold (range, 1.1- to 6.4-fold). For both large urban populations and small rural states, Medicare imaging resource consumption was heterogeneously variable at the county level. Adjusting for county-level gender, ethnicity, rural status, and population density, countywide unemployment rates showed strong independent positive associations with Medicare imaging events (beta = 26.96) and costs (beta = 4.37), whereas uninsured rates showed strong independent positive associations with Medicare imaging costs (beta = 2.68). CONCLUSIONS: Medicare imaging utilization and costs both vary far more at the county than at the state level. Unfavorable measures of county-level population economic status in the non-Medicare population are independently associated with greater Medicare imaging resource consumption. Future efforts to optimize Medicare imaging use should consider the influence of local indigenous socioeconomic factors outside the scope of traditional beneficiary-focused policy initiatives.

OBJECTIVE: The objective of the present study is to assess the feasibility of a novel claims-based classification system for payer identification of academic radiologist subspecialties. MATERIALS AND METHODS: Using a categorization scheme based on the Neiman Imaging Types of Service (NITOS) system, we mapped the Medicare Part B services billed by all radiologists from 2012 to 2014, assigning them to the following subspecialty categories: abdominal imaging, breast imaging, cardiothoracic imaging, musculoskeletal imaging, nuclear medicine, interventional radiology, and neuroradiology. The percentage of subspecialty work relative value units (RVUs) to total billed work RVUs was calculated for each radiologist nationwide. For radiologists at the top 20 academic departments funded by the National Institutes of Health, those percentages were compared with subspecialties designated on faculty websites. NITOS-based subspecialty assignments were also compared with the only radiologist subspecialty classifications currently recognized by Medicare (i.e., nuclear medicine and interventional radiology). RESULTS: Of 1012 academic radiologists studied, the median percentage of Medicare-billed NITOS-based subspecialty work RVUs matching the subspecialty designated on radiologists' own websites ranged from 71.3% (for nuclear medicine) to 98.9% (for neuroradiology). A NITOS-based work RVU threshold of 50% correctly classified 89.8% of radiologists (5.9% were not mapped to any subspecialty; subspecialty error rate, 4.2%). In contrast, existing Medicare provider codes identified only 46.7% of nuclear medicine physicians and 39.4% of interventional radiologists. CONCLUSION: Using a framework based on a recently established imaging health services research tool that maps service codes based on imaging modality and body region, Medicare claims data can be used to consistently identify academic radiologists by subspecialty in a manner not possible with the use of existing Medicare physician specialty identifiers. This method may facilitate more appropriate performance metrics for subspecialty academic physicians under emerging value-based payment models.

On 8 November 2016 the American electorate voted Donald Trump into the Presidency and a majority of Republicans into both houses of Congress. Since many Republicans ran for elected office on the promise to 'repeal and replace' Obamacare, this election result came with an expectation that campaign rhetoric would result in legislative action on healthcare. The American Health Care Act (AHCA) represented the Republican effort to repeal and replace the Affordable Care Act (ACA). Key elements of the AHCA included modifications of Medicaid expansion, repeal of the individual mandate, replacement of ACA subsidies with tax credits, and a broadening of the opportunity to use healthcare savings accounts. Details of the bill and the political issues which ultimately impeded its passage are discussed here.

PURPOSE: To examine changes in the utilization of procedures related to treatment of chronic venous insufficiency (CVI) in the Medicare population. MATERIALS AND METHODS: Service-specific claims data for phlebectomy, sclerotherapy, and radiofrequency (RF) and laser ablation were identified by using Medicare Physician Supplier Procedure Summary master files from 2005 through 2014. Longitudinal national utilization rates were calculated by using annual Medicare enrollment data from 2005 through 2013. Procedure volumes by specialty group and site of service were analyzed. RESULTS: Total annual claims for these procedures in the Medicare fee-for-service beneficiaries increased from 95,206 to 332,244 (Compound Annual Growth Rate [CAGR], 15%) between 2005 and 2014. Per 1,000 beneficiaries, overall utilization increased annually from 2.8 in 2005 to 9.4 in 2013. Most procedures were performed in the private office setting (92% in 2014). In 2014, radiologists had a 10% relative market share, compared with vascular surgeons, other surgeons, and cardiologists, who had 26%, 25%, and 14% market shares, respectively. Cardiologists had the fastest relative growth, with a CAGR of 51% compared with 23% for radiology, 12% for vascular surgery, and 13% for other surgery. Total venous RF ablation services grew with a CAGR of 31%, with radiology and cardiology growing most rapidly (40% and 79%, respectively). Total venous laser ablation services grew with a CAGR of 22%, with radiology growing 15% and cardiology growing most rapidly at 44%. CONCLUSIONS: Utilization of CVI procedures in the Medicare population increased markedly from 2005 through 2014. The overwhelming majority are performed in the private office setting by nonradiologists.