Abstract
High-resolution ultrasound is the imaging method of choice for the evaluation of thyroid nodules. The method has recently come to be used widely and often, which has increased the rate of thyroid nodule detection. In 2017, the American College of Radiology (ACR) established a risk-stratification system designated the Thyroid Imaging Reporting and Data System (TI-RADS) to be a practical guide for widespread use, with a single lexicon and standardization of ultrasound reports of thyroid nodules. The objective of this study was to present a practical approach, using examples to illustrate the criteria evaluated by the 2017 ACR TI-RADS, in order to help minimize uncertainties regarding its application by sonographers.
Highlights
High-resolution ultrasound is the imaging method of choice for the evaluation of thyroid nodules
Ultrasound is the main imaging method for evaluating thyroid nodules, and its wide availability has allowed such nodules to be detected at increasingly higher rates[5]
The American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) was developed with the objective of standardizing the description of and approaches to thyroid nodules, its practical form making it highly reproducible
Summary
High-resolution ultrasound is the imaging method of choice for the evaluation of thyroid nodules. The method has recently come to be used widely and often, which has increased the rate of thyroid nodule detection. The prevalence of thyroid nodules is high, the incidence of malignancy is relatively low in incidental nodules[1,2]. In 2017, the American College of Radiology (ACR) convened to establish a practical risk stratification system for widespread use by all medical professionals, resulting in the Thyroid Imaging Reporting and Data System (TI-RADS), which provides a single lexicon to reduce confusion in ultrasound reports of thyroid nodules[4–6]. We use examples to illustrate the ACR TI-RADS criteria and scoring
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