Thyroid Imaging Reporting and Data System (TI-RADS): A User's Guide.

Radiology

From the Department of Radiology, University of Alabama at Birmingham, 619 S 19th St, JT N450, Birmingham, AL 35249 (F.N.T.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (W.D.M.); and Department of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, Calif (E.G.G.).

Published: April 2018

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. RSNA, 2018.

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Source
http://dx.doi.org/10.1148/radiol.2017171240DOI Listing

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