Thyroid Imaging Reporting and Data System (TI-RADS): A User's Guide.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 29558300.
- Also identified by DOI 10.1148/radiol.2017171240.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
In 2017, the Thyroid Imaging Reporting and Data System (TI-RADS) Committee of the American College of Radiology (ACR) published a white paper that presented a new risk-stratification system for classifying thyroid nodules on the basis of their appearance at ultrasonography (US). In ACR TI-RADS, points in five feature categories are summed to determine a risk level from TR1 to TR5. Recommendations for biopsy or US follow-up are based on the nodule's ACR TI-RADS level and its maximum diameter. The purpose of this article is to offer practical guidance on how to implement and apply ACR TI-RADS based on the authors' experience with the system. <sup>©</sup> RSNA, 2018.
Medical subject headings
- Radiology Information Systems
- Thyroid Diseases
- Ultrasonography