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Radiology and the New Medicare/MACRA Patient Relationship Codes

Rosenkrantz, Andrew B; Hirsch, Joshua A; Nicola, Gregory N
PMID: 28551349
ISSN: 1558-349x
CID: 2591642

Travel Times for Screening Mammography: Impact of Geographic Expansion by a Large Academic Health System

Rosenkrantz, Andrew B; Liang, Yu; Duszak, Richard Jr; Recht, Michael P
RATIONALE AND OBJECTIVES: This study aims to assess the impact of off-campus facility expansion by a large academic health system on patient travel times for screening mammography. MATERIALS AND METHODS: Screening mammograms performed from 2013 to 2015 and associated patient demographics were identified using the NYU Langone Medical Center Enterprise Data Warehouse. During this time, the system's number of mammography facilities increased from 6 to 19, reflecting expansion beyond Manhattan throughout the New York metropolitan region. Geocoding software was used to estimate driving times from patients' homes to imaging facilities. RESULTS: For 147,566 screening mammograms, the mean estimated patient travel time was 19.9 +/- 15.2 minutes. With facility expansion, travel times declined significantly (P < 0.001) from 26.8 +/- 18.9 to 18.5 +/- 13.3 minutes (non-Manhattan residents: from 31.4 +/- 20.3 to 18.7 +/- 13.6). This decline occurred consistently across subgroups of patient age, race, ethnicity, payer status, and rurality, leading to decreased variation in travel times between such subgroups. However, travel times to pre-expansion facilities remained stable (initial: 26.8 +/- 18.9 minutes, final: 26.7 +/- 18.6 minutes). Among women undergoing mammography before and after expansion, travel times were shorter for the postexpansion mammogram in only 6.3%, but this rate varied significantly (all P < 0.05) by certain demographic factors (higher in younger and non-Hispanic patients) and was as high as 18.2%-18.9% of patients residing in regions with the most active expansion. CONCLUSIONS: Health system mammography facility geographic expansion can improve average patient travel burden and reduce travel time variation among sociodemographic populations. Nonetheless, existing patients strongly tend to return to established facilities despite potentially shorter travel time locations, suggesting strong site loyalty. Variation in travel times likely relates to various factors other than facility proximity.
PMID: 28483308
ISSN: 1878-4046
CID: 2548872

The Director of Prostate Imaging: advancing care for prostate cancer patients

Westphalen, Antonio C; Margolis, Daniel J A; Rosenkrantz, Andrew B
The radiologist's role extends far beyond interpretation and reporting of medical imaging. In this manuscript, we describe the role of the Director of Prostate Imaging. We believe that this model can and should be implemented at other institutions, ultimately serving to improve the care for prostate cancer patients. Moreover, this model can be translated to support the development of an array of patient-centered service lines not only in abdominal imaging, but throughout radiology practices at large.
PMID: 28396916
ISSN: 2366-0058
CID: 2528172

The role of whole-lesion apparent diffusion coefficient analysis for predicting outcomes of prostate cancer patients on active surveillance

Tamada, Tsutomu; Dani, Hasan; Taneja, Samir S; Rosenkrantz, Andrew B
PURPOSE: To explore the role of whole-lesion apparent diffusion coefficient (ADC) analysis for predicting outcomes in prostate cancer patients on active surveillance. METHODS: This study included 72 prostate cancer patients who underwent MRI-ultrasound fusion-targeted biopsy at the initiation of active surveillance, had a visible MRI lesion in the region of tumor on biopsy, and underwent 3T baseline and follow-up MRI examinations separated by at least one year. Thirty of the patients also underwent an additional MRI-ultrasound fusion-targeted biopsy after the follow-up MRI. Whole-lesion ADC metrics and lesion volumes were computed from 3D whole-lesion volumes-of-interest placed on lesions on the baseline and follow-up ADC maps. The percent change in lesion volume on the ADC map between the serial examinations was computed. Statistical analysis included unpaired t tests, ROC analysis, and Fisher's exact test. RESULTS: Baseline mean ADC, ADC0-10th-percentile, ADC10-25th-percentile, and ADC25-50th-percentile were all significantly lower in lesions exhibiting >/=50% growth on the ADC map compared with remaining lesions (all P /=50% growth observed for ADC0-10th-percentile (585 +/- 308 vs. 911 +/- 336; P = 0.001). ADC0-10th-percentile achieved highest performance for predicting >/=50% growth (AUC = 0.754). Mean percent change in tumor volume on the ADC map was 62.3% +/- 26.9% in patients with GS >/= 3 + 4 on follow-up biopsy compared with 3.6% +/- 64.6% in remaining patients (P = 0.050). CONCLUSION: Our preliminary results suggest a role for 3D whole-lesion ADC analysis in prostate cancer active surveillance.
PMID: 28396920
ISSN: 2366-0058
CID: 2528182

Variation in Patients' Travel Times among Imaging Examination Types at a Large Academic Health System

Rosenkrantz, Andrew B; Liang, Yu; Duszak, Richard Jr; Recht, Michael P
RATIONALE AND OBJECTIVES: Patients' willingness to travel farther distances for certain imaging services may reflect their perceptions of the degree of differentiation of such services. We compare patients' travel times for a range of imaging examinations performed across a large academic health system. MATERIALS AND METHODS: We searched the NYU Langone Medical Center Enterprise Data Warehouse to identify 442,990 adult outpatient imaging examinations performed over a recent 3.5-year period. Geocoding software was used to estimate typical driving times from patients' residences to imaging facilities. Variation in travel times was assessed among examination types. RESULTS: The mean expected travel time was 29.2 +/- 20.6 minutes, but this varied significantly (p < 0.001) among examination types. By modality, travel times were shortest for ultrasound (26.8 +/- 18.9) and longest for positron emission tomography-computed tomography (31.9 +/- 21.5). For magnetic resonance imaging, travel times were shortest for musculoskeletal extremity (26.4 +/- 19.2) and spine (28.6 +/- 21.0) examinations and longest for prostate (35.9 +/- 25.6) and breast (32.4 +/- 22.3) examinations. For computed tomography, travel times were shortest for a range of screening examinations [colonography (25.5 +/- 20.8), coronary artery calcium scoring (26.1 +/- 19.2), and lung cancer screening (26.4 +/- 14.9)] and longest for angiography (32.0 +/- 22.6). For ultrasound, travel times were shortest for aortic aneurysm screening (22.3 +/- 18.4) and longest for breast (30.1 +/- 19.2) examinations. Overall, men (29.9 +/- 21.6) had longer (p < 0.001) travel times than women (27.8 +/- 20.3); this difference persisted for each modality individually (p
PMID: 28356203
ISSN: 1878-4046
CID: 2508942

The Federal Value Modifier Program Is Biased Against Specialist Physicians

Rosenkrantz, Andrew B; Won, Eugene; Hirsch, Joshua A; Nicola, Gregory N
PMID: 28139416
ISSN: 1558-349x
CID: 2425072

Do Incidental Hyperechoic Renal Lesions Measuring Up to 1 cm Warrant Further Imaging? Outcomes of 161 Lesions

Doshi, Ankur M; Ayoola, Abimbola; Rosenkrantz, Andrew B
OBJECTIVE: The purpose of this study was to determine the outcomes of hyperechoic renal lesions measuring 1 cm or less at ultrasound examination. MATERIALS AND METHODS: This retrospective study included 161 hyperechoic renal lesions measuring 1 cm or less at ultrasound that were evaluated with follow-up ultrasound, CT, or MRI. Follow-up imaging examinations were reviewed to assess for definitive lesion characterization or size stability. RESULTS: Follow-up included 11 unenhanced CT, 39 contrast-enhanced CT, 52 unenhanced and contrast-enhanced CT, two unenhanced MRI, 50 unenhanced and contrast-enhanced MRI, and 87 ultrasound examinations. At CT or MRI 58.4% of lesions were confirmed to be angiomyolipomas. At CT, one lesion represented a stone, and one a hyperdense cyst. At CT or MRI 11.8% of the lesions had no correlate; 3.1% were not visualized at follow-up ultrasound. An additional 23.6% were stable at 2-year follow-up imaging or beyond. Two lesions were evaluated with only contrast-enhanced CT less than 1 month after ultrasound, and the CT images did not show macroscopic fat or calcification or meet the criteria for a simple cyst. These lesions were considered indeterminate. One lesion in a 65-year-old man was imaged with unenhanced and contrast-enhanced CT 23 months after ultrasound, and the CT showed an increase in size, solid enhancement, and no macroscopic fat. This lesion was presumed to represent renal cell carcinoma. Overall, the one lesion presumed malignant and the two indeterminate lesions constituted 1.9% of the cohort. The other 98.1% of lesions were considered clinically insignificant. CONCLUSION: Most hyperechoic renal lesions measuring 1 cm or smaller were clinically insignificant, suggesting that such lesions may not require additional imaging. Patient demographics, symptoms and risk factors for malignancy may help inform the decision to forgo follow-up imaging of such lesions.
PMID: 28609114
ISSN: 1546-3141
CID: 2595062

Variation in Screening Mammography Rates Among Medicare Advantage Plans

Rosenkrantz, Andrew B; Fleming, Margaret; Duszak, Richard Jr
PURPOSE: Prior studies have shown higher screening mammography rates for beneficiaries in capitated managed care Medicare Advantage (MA) plans compared with traditional fee-for-service Medicare. The aim of this study was to explore variation in screening mammography rates at the level of MA managed care plans. METHODS: Using the 2016 MA Healthcare Effectiveness Data and Information Set Public Use File, screening mammography rates were identified for all 385 reporting MA plans. Associations were explored with a range of plan characteristics from this file, as well as from the CMS Part C and Part D Medicare Star Ratings Data File, Medicare Advantage Plan Directory, and Medicare Monthly Enrollment by Plan File. RESULTS: Overall MA plan screening rates were high (mean, 72.6 +/- 9.4%) but varied substantially among plans (range, 14.3%-91.8%). Screening rates were higher in nonprofit versus for-profit plans (77.3% versus 71.8%, P < .001), as well as in health maintenance organization or local preferred provider organization plans versus private fee-for-service or regional preferred provider organization plans (71.9%-73.2% versus 65.5%-66.8%, P = .001). Among parent organizations with five or more plans, screening rates were highest for Kaiser Foundation (median, 88.4%) and lowest for Molina Healthcare (median, 65.3%). Screening rates showed small but significant associations with plans' contract lengths, enrolled populations, and counties served. Screening rates showed strong associations (r = 0.796-0.798) with colorectal cancer screening and annual flu vaccine rates and showed moderate associations (r = 0.283-0.365) with ambulatory and preventive care visits, osteoporosis screenings, body mass index assessments, and nonrecommended prostate-specific antigen screenings after age 70. CONCLUSIONS: Screening mammography rates vary considerably among MA plans. With increased federal interest in promoting the MA program, enhanced transparency will be necessary to ensure appropriate Medicare beneficiary participation decision making.
PMID: 28566133
ISSN: 1558-349x
CID: 2591782

Foundational Changes Critical to Payments for Radiology Services

Hirsch, Joshua A; Rosenkrantz, Andrew B; Allen, Bibb Jr; Manchikanti, Laxmaiah; Nicola, Gregory N
In early 2015, Sylvia Burwell, Secretary of the Department of Health and Human Services, described the federal administration's goals for delivery of health care in the United States. Prominently featured was a conversion from volume to value through the incorporation of Alternative Payment Models. The Department of Health and Human Services laid the framework, but recognized significant knowledge gaps in how providers and institutions would develop Alternative Payment Models. To that end, the Health Care Payment Learning and Action Network was conceived. On March 25, 2015, the Health Care Payment Learning and Action Network held its first meeting, which included a broad swath of industry participants. This collaboration was considered mission critical to achieving success in the goals of advancing Alternative Payment Models. This article highlights the Health Care Payment Learning and Action Network and the framework it is proposing for Alternative Payment Models that would have meaningful implications for radiologists.
PMID: 28242063
ISSN: 1558-349x
CID: 2471442

Identifying Radiology's Place in the Expanding Landscape of Episode Payment Models

Rosenkrantz, Andrew B; Hirsch, Joshua A; Allen, Bibb Jr; Harvey, H Benjamin; Nicola, Gregory N
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.
PMID: 28291598
ISSN: 1558-349x
CID: 2489882