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

Academic Article

Abstract

  • © 2017 RSNA. 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.
  • Published In

  • Radiology  Journal
  • Digital Object Identifier (doi)

    Author List

  • Tessler FN; Middleton WD; Grant EG
  • Start Page

  • 29
  • End Page

  • 36
  • Volume

  • 287
  • Issue

  • 1