Thyroid imaging reporting and data system (TI-RADS): A user's guide

Franklin N. Tessler, William D. Middleton, Edward G. Grant

Research output: Contribution to journalArticlepeer-review

77 Scopus citations

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.

Original languageEnglish
Pages (from-to)29-36
Number of pages8
JournalRadiology
Volume287
Issue number1
DOIs
StatePublished - Apr 2018

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