Faculty Bibliography

PURPOSE: This study aimed to assess variability in imaging facilities' adherence to the minimum technical standards for prostate magnetic resonance imaging acquisition established by Prostate Imaging-Reporting and Data System (PI-RADS) version 2 (v2). METHODS: A total of 107 prostate magnetic resonance imaging examinations performed at 107 unique imaging facilities after the release of PI-RADS v2 and that were referred to a tertiary care center for secondary interpretation were included. Image sets, DICOM headers, and outside reports were reviewed to assess adherence to 21 selected PI-RADS v2 minimum technical standards. RESULTS: Hardware arrangements were 23.1%, 1.5T without endorectal coil; 7.7%, 1.5T with endorectal coil; 63.5%, 3T without endorectal coil; and 5.8%, 3T with endorectal coil. Adherence to minimum standards was lowest on T2 weighted imaging (T2WI) for frequency resolution /=1400 s/mm2) images were included in 58.0% (calculated in 25.9%). Adherence to T2WI phase resolution and DWI inter-slice gap were greater (P < .05) at 3T than at 1.5T. Adherence did not differ (P > .05) for any parameter between examinations performed with and without an endorectal coil. Adherence was greater for examinations performed at teaching facilities for T2WI slice thickness and DCE temporal resolution (P < .05). Adherence was not better for examinations performed in 2016 than in 2015 for any parameter (P > .05). CONCLUSION: Facilities' adherence to PI-RADS v2 minimum technical standards was variable, being particularly poor for T2WI frequency resolution and DCE temporal resolution. The standards warrant greater community education. Certain technical standards may be too stringent, and revisions should be considered.

PURPOSE: The Medicare Access and CHIP Reauthorization Act (MACRA) Quality performance category is the successor to the Physician Quality and Reporting System (PQRS) program and now contributes to physicians' income adjustments based upon performance rates calculated for a minimum of six measures. We assess radiologists' frequency of reporting PQRS measures as a marker of preparedness for MACRA. METHODS: Medicare-participating radiologists were randomly searched through the Physician Compare website until identifying 1,000 radiologists who reported at least one PQRS measure. Associations were explored between the number of reported measures and radiologist characteristics. RESULTS: For PQRS-reporting radiologists, the number of reported PQRS measures was 1 (25.2%), 2 (27.3%), 3 (18.2%), 4 (19.3%), 5 (8.3%), and 6 (1.7%). The most commonly reported measures were "documenting radiation exposure time for procedures using fluoroscopy" (64.3%) and "accurate measurement of carotid artery narrowing" (56.8%). Reporting at least two measures was significantly (P < .001) more likely for nonacademic (77.3%) versus academic (44.9%) radiologists, generalists (82.7%) versus subspecialists (59.1%), and radiologists in smaller (/=100 members) (39.7%) practices. Reporting six measures was significantly (P < .05) more likely for generalists (2.6%) versus subspecialists (0.4%). CONCLUSION: Most PQRS-reporting radiologists reported only one or two measures, well below MACRA's requirement of six. Radiologists continuing such reporting levels will likely be disadvantaged in terms of potential payment adjustments under MACRA. Lower reporting rates for academic and subspecialized radiologists, as well as those in larger practices, may relate to such radiologists' reliance on their hospitals or networks for PQRS reporting. Qualified clinical data registries should be embraced to facilitate more robust measure reporting.

OBJECTIVE: To develop nomograms that predict the probability of overall PCa and clinically significant PCa (Gleason >/=7) on MRI targeted, and combined MRI-targeted and systematic, prostate biopsy. MATERIALS AND METHODS: From June 2012 to August 2014, MR-US fusion targeted prostate biopsy was performed on 464 men with suspicious regions identified on pre-biopsy 3T MRI along with systematic 12 core biopsy. Logistic regression modeling was used to evaluate predictors of overall and clinically significant PCa, and corresponding nomograms were generated for men who were not previously biopsied or had one or more prior negative biopsies. Models were created with 70% of a randomly selected training sample and bias-corrected using bootstrap resampling. The models were then validated with the remaining 30% testing sample pool. RESULTS: A total of 459 patients were included for analysis (median age 66 years, PSA 5.2 ng/ml, prostate volume 49 cc). Independent predictors of PCa on targeted and systematic prostate biopsy were PSA density, age, and MRI suspicion score. PCa probability nomograms were generated for each cohort using the predictors. Bias-corrected areas under the receiver-operating characteristic curves for overall and clinically significant PCa detection were 0.82 (0.78) and 0.91 (0.84) for men without prior biopsy and 0.76 (0.65) and 0.86 (0.87) for men with a prior negative biopsy in the training (testing) samples. CONCLUSION: PSA density, age, and MRI suspicion score predict prostate cancer on combined MRI-targeted and systematic biopsy. Our generated nomograms demonstrate high diagnostic accuracy and may further aid in the decision to perform biopsy in men with clinical suspicion of PCa.

OBJECTIVE/OBJECTIVE:The objective of our study was to use a new modality and body region categorization system to assess changing utilization of noninvasive diagnostic imaging in the Medicare fee-for-service population over a recent 20-year period (1994-2013). MATERIALS AND METHODS/METHODS:All Medicare Part B Physician Fee Schedule services billed between 1994 and 2013 were identified using Physician/Supplier Procedure Summary master files. Billed codes for diagnostic imaging were classified using the Neiman Imaging Types of Service (NITOS) coding system by both modality and body region. Utilization rates per 1000 beneficiaries were calculated for families of services. RESULTS/RESULTS:Among all diagnostic imaging modalities, growth was greatest for MRI (+312%) and CT (+151%) and was lower for ultrasound, nuclear medicine, and radiography and fluoroscopy (range, +1% to +31%). Among body regions, service growth was greatest for brain (+126%) and spine (+74%) imaging; showed milder growth (range, +18% to +67%) for imaging of the head and neck, breast, abdomen and pelvis, and extremity; and showed slight declines (range, -2% to -7%) for cardiac and chest imaging overall. The following specific imaging service families showed massive (> +100%) growth: cardiac CT, cardiac MRI, and breast MRI. CONCLUSION/CONCLUSIONS:NITOS categorization permits identification of temporal shifts in noninvasive diagnostic imaging by specific modality- and region-focused families, providing a granular understanding and reproducible analysis of global changes in imaging overall. Service family-level perspectives may help inform ongoing policy efforts to optimize imaging utilization and appropriateness.

OBJECTIVE: The purpose of this study was to compare the reproducibility and diagnostic performance of 2D and 3D ROIs for prostate apparent diffusion coefficient (ADC) measurements. MATERIALS AND METHODS: The study included 56 patients with prostate cancer undergoing 3-T MRI including DWI (b = 50 and 1000 s/mm2) before radical prostatectomy. Histologic findings from prostatectomy specimens were reviewed to denote each patient's dominant tumor and a benign region with visually decreased ADC. Three readers independently measured the ADCs of both areas using an ROI placed on a single slice through the lesion (2D) and an ROI encompassing all slices through the lesion (3D). Readers repeated measurements after 3 weeks. Assessment included Bland-Altman analysis (coefficient of repeatability [CR] in which lower values indicated higher reliability) and ROC analysis. RESULTS: For intrareader variability, the CRs across readers for all ROIs were 9.9% for 2D and 9.3% for 3D. For tumor ROIs the CRs were 10.6% for 2D and 9.6% for 3D. For interreader variability, the CRs across readers for all ROIs were 17.1% for 2D and 20.5% for 3D and for tumor ROIs were 17.9% for 2D and 22.2% for 3D. For combined reader data, the AUCs for benign and malignant findings were 0.77 for 2D and 0.78 for 3D (p = 0.146). For differentiating Gleason score (GS) 3 + 3 from GS > 3 + 3 tumors, the AUCs were 0.92 for 2D and 0.92 for 3D ROIs (p = 0.649). For differentiating GS /= 4 + 3 tumors, the AUCs were 0.70 for 2D and 0.67 for 3D ROIs (p = 0.004). CONCLUSION: Use of a 3D ROI did not improve intrareader or interreader reproducibility or diagnostic performance compared with use of a 2D ROI for prostate ADC measurements. Interreader reproducibility of 2D ROIs was suboptimal nonetheless.

Radiology has historically been at the forefront of innovation and the advancement of technology for the benefit of patient care. However, challenges to early implementation prevented most radiologists from adopting and integrating certified electronic health record technology (CEHRT) into their daily workflow despite the early and potential advantages it offered. This circumstance places radiology at a disadvantage in the two payment pathways of the Medicare Access and CHIP Reauthorization Act of 2015: the Merit-Based Incentive Payment System (MIPS) and advanced alternative payment models (APMs). Specifically, not integrating CEHRT hampers radiology's ability to receive bonus points in the quality performance category of the MIPS and in parallel threatens certain threshold requirements for advanced APMs under the new Quality Payment Program. Radiology must expand the availability and use of CEHRT to satisfy existing performance measures while creating new performance measures that create value for the health care system. In addition, radiology IT vendors will need to ensure their products (eg, radiology information systems, PACS, and radiology reporting systems) are CEHRT compliant and approved. Such collective efforts will increase radiologists' quality of patient care, contribution to value driven activities, and overall health care relevance.