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
Radiologyjournal_title
Radiologyauthors
Tessler FN,Middleton WD,Grant EGdoi
10.1148/radiol.2017171240subject
Has Abstractpub_date
2018-04-01 00:00:00pages
29-36issue
1eissn
0033-8419issn
1527-1315journal_volume
287pub_type
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