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

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. © RSNA, 2018.

journal_name

Radiology

journal_title

Radiology

authors

Tessler FN,Middleton WD,Grant EG

doi

10.1148/radiol.2017171240

subject

Has Abstract

pub_date

2018-04-01 00:00:00

pages

29-36

issue

1

eissn

0033-8419

issn

1527-1315

journal_volume

287

pub_type

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