Thyroid imaging reporting and data system (TI-RADS)

Changed by Jeffrey Cheng, 22 Dec 2017

Updates to Article Attributes

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TIRADS is a risk stratification system for classifying thyroid lesions and was recently recognized in an American College of Radiology (ACR) white paper1. Its use is being advocated similar to BIRADS category for breast lesions. 

In 2017, a white paper2 was released by the ACR committee on thyroid imaging with a standardised scoring system, with guidance on fine needle aspiration (FNA) and follow-up.

See ACR TIRADS.

Classification

Classification system has been proposed by Horvath et al3, with a modified recommendation from Jin Kwak et al4.

Similar to BIRADS category, sonographic TIRADS classification is as follows

  • TIRADS 1: normal thyroid gland
  • TIRADS 2: benign lesions
  • TIRADS 3: probably benign lesions 
  • TIRADS 4: suspicious lesions (subclassified as 4a, 4b, and later 4c 4 with increasing risk of malignancy)
  • TIRADS 5: probably malignant lesions (more than 80% risk of malignancy)
  • TIRADS 6: biopsy proven malignancy
TIRADS 2 category
  • avascular anechoic lesion with echogenic specks (colloid type I)
  • vascular heteroechoic non-expansile, non-encapsulated nodules with peripheral halo (colloid type II)
  • isoechoic or heteroechoic, non-encapsulated, expansile vascular nodules (colloid type III)

These conditions have 0% risk of malignancy.

TIRADS 3 category
  • hyperechoic, iso-echoic or hypoechoic nodules, with partially formed capsule and peripheral vascularity, usually in setting of Hashimoto's thyroiditis (Hashimoto's pseudonodule)

Modified TIRADS classification 4 have simplified TIRADS 3 category as none of the suspicious malignant sonographic features described below. These lesions are mostly benign with <5% risk of malignancy 3.

TIRADS 4 and 5 categories

These categories are based on five suspicious sonographic features of malignancy:

  • solid component
    • high stiffness of nodule on elastography if available
  • markedly hypoechoic nodule
  • microlobulations or irregular margins
  • microcalcifications
  • taller-than-wider shape
Subclassificaton
  • TIRADS 4a: one suspicious feature
  • TIRADS 4b: two suspicious features
  • TIRADS 4c: three/four suspicious features
  • TIRADS 5: all five suspicious features

TIRADS 4a has 5-10% risk of malignancy, 4b and 4c may have 10-80% risk of malignancy. TIRADS 5 category lesion have >80% risk of malignancy 3.

See also

Please note: At the time of writing this article (mid 2016), this classification system in any version has not been formally accepted by ACR or any global radiological convention. Yet this classification system is well reported. Article is based on proposed classification systems, which should be known to the radiologists, and may help them in characterizing thyroid lesions. It may be used for risk stratification on sole discretion of personnel or institution, and should be complemented by FNAC on need basis.

  • -<p><strong>TIRADS</strong> is a risk stratification system for classifying thyroid lesions and was recently recognized in an American College of Radiology (ACR) white paper <sup>1</sup>. Its use is being advocated similar to <a href="/articles/breast-imaging-reporting-and-data-system-birads">BIRADS</a> category for breast lesions. </p><p>In 2017, a white paper <sup>2</sup> was released by the ACR committee on thyroid imaging with a standardised scoring system, with guidance on <a href="/articles/ultrasound-guided-fna-of-the-thyroid">fine needle aspiration</a> (FNA) and follow-up.</p><p>See <a href="/articles/acr-thyroid-imaging-reporting-and-data-system-acr-ti-rads">ACR TIRADS</a>.</p><h4>Classification</h4><p>Classification system has been proposed by Horvath et al <sup>3</sup>, with a modified recommendation from Jin Kwak et al <sup>4</sup>.</p><p>Similar to BIRADS category, sonographic TIRADS classification is as follows</p><ul>
  • +<p><strong>TIRADS</strong> is a risk stratification system for classifying thyroid lesions and was recently recognized in an American College of Radiology (ACR) white paper<sup>1</sup>. Its use is being advocated similar to <a href="/articles/breast-imaging-reporting-and-data-system-birads">BIRADS</a> category for breast lesions. </p><p>In 2017, a white paper<sup>2</sup> was released by the ACR committee on thyroid imaging with a standardised scoring system, with guidance on <a href="/articles/ultrasound-guided-fna-of-the-thyroid">fine needle aspiration</a> (FNA) and follow-up.</p><p>See <a href="/articles/acr-thyroid-imaging-reporting-and-data-system-acr-ti-rads">ACR TIRADS</a>.</p><h4>Classification</h4><p>Classification system has been proposed by Horvath et al. <sup>3</sup>, with a modified recommendation from Jin Kwak et al. <sup>4</sup>.</p><p>Similar to BIRADS category, sonographic TIRADS classification is as follows</p><ul>

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