Radiologia Brasileira - Publicação Científica Oficial do Colégio Brasileiro de Radiologia

INTRODUCTION

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. Although the prevalence of thyroid nodules is high, the incidence of malignancy is relatively low in incidental nodules^(1,2).

The diagnosis of malignancy depends, above all, on fine-needle aspiration biopsy or excisional biopsy. To avoid unnecessary procedures, risk stratification through systematization is essential⁽³⁾. 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).

The objective of this study was to create a practical guide to help minimize uncertainties regarding the application of the 2017 ACR TI-RADS by sonographers. To that end, we use examples to illustrate the ACR TI-RADS criteria and scoring.


FEATURES EVALUATED

The ACR TI-RADS is based on the evaluation of five key features of a nodule-composition, echogenicity, shape, margin, and echogenic foci-which are scored individually, the feature scores being summed to arrive at the final classification of the risk level, which ranges from TR1 (benign) to TR5 (highly suspicious for malignancy). A sixth feature (size) is used in order to determine the appropriate course of action. For each of the five key features, one of the options must be chosen and duly scored, with the exception of the "echogenic foci" feature, in which all the options applicable to the evaluated node must be described and scored⁽⁴⁾. According to the lexicon proposed by the ACR TI-RADS, the features described above will be designated in categories.


COMPOSITION

The composition of a nodule is defined on the basis of its content (solid tissue or fluid). That content is classified as detailed below.

Cystic - This describes a nodule that is completely or almost completely filled with fluid (Figure 1).




Spongiform - This describes a nodule that is composed of multiple small cystic spaces that occupy at least 50% of the total volume of the nodule.

Mixed solid-cystic - This describes a nodule that combines two features presented in the original lexicon (predominantly solid and predominantly cystic)⁽⁴⁾. In the evaluation of these nodules, the characterization of the solid component is more important than the proportional distribution of the solid and cystic components (Figure 2).




Solid - This describes a nodule that is completely or almost completely composed of soft tissue (Figure 3). There is no precise definition of the proportion of solid component required for a nodule to be classified as solid, which is often a subjective finding. As a general rule, nodules that are mostly solid and contain cystic spaces accounting for no more than 5% of their total volume are classified as solid⁽⁵⁾. In some cases, it can be difficult to distinguish between solid content and debris/hemorrhagic material. In such cases, the use of color Doppler can help identify flow within the solid component. If the composition of a nodule cannot be determined, it should be considered to be solid.




ECHOGENICITY

The echogenicity of a nodule is graded in relation to the adjacent tissue (thyroid parenchyma or anterior cervical musculature). Note that, for this category, only the solid component should be taken into account.

Hyperechoic - This describes a nodule with increased echogenicity in relation to the thyroid parenchyma (Figures 4 and 5).




Isoechoic - This describes a nodule with echogenicity similar to that of the thyroid parenchyma (Figure 3). If the echogenicity of a nodule cannot be determined, it should be considered isoechoic for scoring.

Hypoechoic - This describes a nodule with reduced echogenicity in relation to the thyroid parenchyma (Figures 6 and 7).




Markedly hypoechoic - This describes a nodule with reduced echogenicity in relation to the anterior cervical musculature (Figure 8). This characteristic is highly specific for malignancy.




SHAPE

In the shape category, only one aspect of a nodule is evaluated for ACR TI-RADS risk stratification: the relationship between its anteroposterior dimension (tallness) and its transverse dimension (width) on an axial image. A nodule is classified as either wider-than-tall or taller-than-wide.

Taller-than-wide - When the anteroposterior dimension of a nodule is greater than its transverse dimension (Figure 9), it is classified as taller-than-wide. Although not very sensitive, this is a finding that id highly specific for malignant lesions, especially when found in combination with other aspects suggestive of malignancy.




MARGIN

The margin category classifies the interface between a nodule and the adjacent intrathyroidal or extrathyroidal tissue.

Smooth - This describes nodule margins that are well-defined, curved, and uninterrupted (Figure 3).

Irregular or lobulated - This describes nodule margins that are spiculated and jagged, forming acute angles. Such a nodule may or may not have well-defined soft tissue protrusions into adjacent tissues (Figures 10 and 11).




Extrathyroidal extension - This describes nodule margins that extend beyond the limits of the thyroid gland, characterized by clear invasion of adjacent soft tissues or vascular structures (Figure 12).




Poorly defined or undefined - This describes nodule margins that are difficult to distinguish from the thyroid parenchyma (Figure 13), without irregularities or spicules.




Although margins that are irregular or lobulated are suspicious for malignancy, ill-defined margins have not been statistically associated with malignant nodules and are quite common in benign hyperplastic nodules.


ECHOGENIC FOCI

Echogenic foci are defined as focal areas of significantly increased echogenicity, which can vary in shape and size, within a nodule. They can be found in isolation or in combination with artifacts related to acoustic shadowing.

Punctate echogenic foci - These are defined as small echogenic spots without acoustic shadowing (Figure 14).




Macrocalcifications - These are defined as calcifications that are large enough to generate acoustic shadowing and can be irregular in shape (Figure 15).




Peripheral (rim) calcifications - These are defined as calcifications that occupy the periphery of the nodule and can be continuous or discontinuous (Figures 16 and 17). They usually produce acoustic shadowing that obscures the central content of the nodule.




PRACTICAL EXAMPLES

Here, we provide examples of the practical application of the ACR TI-RADS (Figures 18-21). The captions detail the items evaluated and show the scores in parentheses.





DISCUSSION

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⁾. Therefore, various risk-stratification models have been developed, each with its own set of recommendations, which has created confusion among medical professionals. The ACR TI-RADS was developed with the objective of standardizing the description of and approaches to thyroid nodules, its practical form making it highly reproducible.

The application of the ACR TI-RADS has limitations. First, the use of a point-based system limits the assessment of scored items and does not take into account variables that may have different implications, such as the appearance of the solid component of a solid-cystic nodule; certain aspects of that appearance are known to be associated with malignancy but are not scored in the ACR TI-RADS^(6,7). The system also has some pitfalls, which can erroneously increase the risk level and indicate biopsies unnecessarily. For example, the tiny punctate hyperechoic foci that represent the standard pattern for the normal parenchyma can be misinterpreted as echogenic foci⁽⁴⁾. In addition, the ACR TI-RADS is of limited utility in the evaluation of thyroid glands with multiple nodules, such as multinodular goiters, in which the gland is supplanted by multiple confluent nodules of similar appearance. Although malignancy cannot be definitively excluded under these conditions, it would be impracticable to biopsy each of these nodules. Therefore, the use of the ACR TI-RADS risk-stratification model is not practical in that scenario⁽⁴⁾.

Despite its limitations, the ACR TI-RADS has a place in clinical practice, although it must be well understood in order to be used effectively. It provides a standardized lexicon and facilitates the appropriate management of all thyroid nodules, making it possible to avoid unnecessary diagnostic procedures, thus reducing patient discomfort and health care costs^(6,7).


REFERENCES

1. Ezzat S, Sarti DA, Cain DR, et al. Thyroid incidentalomas. Prevalence by palpation and ultrasonography. Arch Intern Med. 1994; 154:1838-40.

2. Nam-Goong IS, Kim HY, Gong G, et al. Ultrasonography-guided fine-needle aspiration of thyroid incidentaloma: correlation with pathological findings. Clin Endocrinol (Oxf). 2004;60:21-8.

3. Ito Y, Miyauchi A, Inoue H, et al. An observational trial for papillary thyroid microcarcinoma in Japanese patients. World J Surg. 2010; 34:28-35.

4. Tessler FN, Middleton WD, Grant EG, et al. ACR Thyroid Imaging, Reporting and Data System (TI-RADS): White Paper of the ACR TI-RADS Committee. J Am Coll Radiol. 2017;14:587-95.

5. Grant EG, Tessler FN, Hoang JK, et al. Thyroid ultrasound reporting lexicon: White Paper of the ACR Thyroid Imaging, Reporting and Data System (TIRADS) Committee. J Am Coll Radiol. 2015;12(12 Pt A):1272-9.

6. Tessler FN, Middleton WD, Grant EG. Thyroid Imaging Reporting and Data System (TI-RADS): a user''s guide. Radiology. 2018;287:29-36.

7. Jabar ASS, Koteshwara P, Andrade J. Diagnostic reliability of the Thyroid Imaging Reporting and Data System (TI-RADS) in routine practice. Pol J Radiol. 2019;84:e274-e280.










Department of Radiology and Diagnostic Imaging, Hospital Universitário de Brasília, Brasília, DF, Brazil

a. https://orcid.org/0000-0002-2959-5250
b. https://orcid.org/0000-0002-8984-4490
c. https://orcid.org/0000-0001-7659-6099

Correspondence:

Dra. Amina Muhamad Mota Mustafá
SQMW 5, Lt 4, Bloco D
Brasília, DF, Brazil, 70680-521
Email: aminammm@gmail.com

Received 15 September 2020
Accepted after revision 22 December 2020