Comparison of Thyroid Risk Categorization Systems and Fine-Needle Aspiration Recommendations in a Multi-Institutional Thyroid Ultrasound Registry.

OBJECTIVES: The aim of this study was to compare how often fine-needle aspiration (FNA) would be recommended for nodules in unselected, low-risk adult patients referred for sonographic evaluation of thyroid nodules by ACR Thyroid Imaging Reporting and Data System (TI-RADS), the American Thyroid Association guidelines (ATA), Korean Thyroid Imaging Reporting and Data System (K-TIRADS), European Thyroid Imaging Reporting and Data System (EU-TIRADS), and Artificial Intelligence Thyroid Imaging Reporting and Data System (AI-TIRADS). METHODS: Seven practices prospectively submitted thyroid ultrasound reports on adult patients to the ACR Thyroid Imaging Research Registry between October 2018 and March 2020. Data were collected about the sonographic features of each nodule using a structured reporting template with fields for the five ACR TI-RADS ultrasound categories plus maximum nodule size. The nodules were also retrospectively categorized according to criteria from ACR TI-RADS, the ATA, K-TIRADS, EU-TIRADS, and AI-TIRADS to compare FNA recommendation rates. RESULTS: For 27,933 nodules in 12,208 patients, ACR TI-RADS recommended FNA for 8,128 nodules (29.1%, 95% confidence interval [CI] 0.286-0.296). The ATA guidelines, EU-TIRADS, K-TIRADS, and AI-TIRADS would have recommended FNA for 16,385 (58.7%, 95% CI 0.581-0.592), 10,854 (38.9%, 95% CI 0.383-0.394), 15,917 (57.0%, 95% CI 0.564-0.576), and 7,342 (26.3%, 95% CI 0.258-0.268) nodules, respectively. Recommendation for FNA on TR3 and TR4 nodules was lowest for ACR TI-RADS at 18% and 30%, respectively. ACR TI-RADS categorized more nodules as TR2, which does not require FNA. At the high suspicion level, the FNA rate was similar for all guidelines at 68.7% to 75.5%. CONCLUSION: ACR TI-RADS recommends 25% to 50% fewer biopsies compared with ATA, EU-TIRADS, and K-TIRADS because of differences in size thresholds and criteria for risk levels.

Asymptomatic Abdominal Aortic Aneurysm: Standardizing Reporting Recommendations at a Large Multistate Radiology Practice.

OBJECTIVE: Although often asymptomatic at initial diagnosis, abdominal aortic aneurysms (AAAs) require careful surveillance to prevent rupture, with rupture-associated mortality rates as high as 90%. The purpose of this study was to explore if a performance improvement initiative implemented across a large radiology practice successfully increased inclusion of best practice recommendations (BPRs) within the radiology report across the practice. METHODS: After BPRs for asymptomatic AAA surveillance were developed, a structured reporting macro for follow-up recommendation was integrated into dictation software. Following a training period, inclusion of recommendations within the radiology report was monitored across 345 facilities within the practice. Performance was reported on scorecards distributed monthly. To measure practice improvement, inclusion of appropriate recommendation in radiology reports postimplementation was compared with pre-implementation data. RESULTS: During the period before AAA BPRs implementation, from 64,090 consecutive cross-sectional radiology reports reviewed during a 6-month period, 855 incidental AAAs (1.3%) were identified, with 783 aneurysms measuring 2.6 to 5.4 cm requiring imaging surveillance; only 17 (2.1%) included follow-up recommendations within the radiology report. Postimplementation, 2,641 of 148,807 cross-sectional imaging studies were positive for 2.6- to 5.4-cm AAAs requiring further management; 1,533 (58.0%) of these radiology reports included follow-up imaging recommendations (97.0% of which followed our AAA BPRs). DISCUSSION: Quality improvement initiatives to develop BPRs for AAA surveillance and include these recommendations within the radiology report can be successfully implemented across large practices and are imperative to ensure imaging surveillance and avert AAA rupture.

Scale Can Improve the Clinical Value of Radiology Practices.

Radiology is participating in the recent consolidation trend. Larger practices can invest in the infrastructure and teams to help improve the clinical value of the services they deliver. An example of national practice is provided that leverages its scale to promote clinical best practices aimed at reducing variability in the recommendations radiologists make for common imaging findings. This is accomplished by promoting the culture of learning and collaboration. In some initiatives, developing a machine learning tool to facilitate the application of clinical algorithms at the point of dictation facilitates the adoption of the recommendations. Regular feedback on practice and individual performance promotes improvement in performance and personal satisfaction of the clinicians. Cost savings through the reduction of unnecessary imaging studies or invasive procedures as well as improved outcomes through evidence-based follow-up have been achieved. In some cases, reductions in the rupture rate of abdominal aortic aneurysms have been realized through clinical follow-up programs. Embracing a culture of continuous learning through peer learning can lay the foundation for sharing clinical best practices. Having access to the benefits of scale in the form of investment in data, analytics, project management, and machine learning tools can facilitate the process of creating clinical value for our patients.

Improved Quality of Thyroid Ultrasound Reports After Implementation of the ACR Thyroid Imaging Reporting and Data System Nodule Lexicon and Risk Stratification System.

PURPOSE: The aim of this study was to compare the description and management recommendations for thyroid nodules before and after implementing a structured reporting template based on the ACR Thyroid Imaging Reporting and Data System (TI-RADS). METHODS: Thyroid ultrasound reports for seven private practice radiologists were analyzed in three phases. In phase 1, radiologists dictated in a free-text format. In phase 2, they used a structured reporting template based on the ACR TI-RADS lexicon, but without the ACR TI-RADS recommendations for nodule management. In phase 3, ACR TI-RADS management recommendations were added. The most suspicious thyroid nodule in each report was analyzed for size, features, and management recommendations in all three phases. RESULTS: Seventy-one thyroid ultrasound reports were reviewed for each phase, for a total of 213 reports. In phase 1, reports did not describe the features of the majority of nodules. In particular, shape and margin were not reported for 100% and 92% of nodules, respectively. Ninety-six percent to 100% of nodules had descriptions of all five features in phases 2 and 3. The number of nodules without management recommendations was 34% in phase 1 and 31% in phase 2. It decreased to 6% in phase 3 (P < .0005). CONCLUSIONS: Implementing an ACR TI-RADS structured reporting template improved the quality of thyroid ultrasound reports in two key ways. A structured reporting template led to better description of features that are predictive of malignancy. The use of ACR TI-RADS management guidelines substantially improved the number of reports with definitive management recommendations.