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

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

doi:10.1148/radiol.2017171240

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

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

Section of Abdominal Imaging

Research output: Contribution to journal › Article › peer-review

221 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 language	English
Pages (from-to)	29-36
Number of pages	8
Journal	Radiology
Volume	287
Issue number	1
DOIs	https://doi.org/10.1148/radiol.2017171240
State	Published - Apr 2018

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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.",

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AB - 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.

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JO - Radiology

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

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