TIRADS Table

Alternatively, you can use our tirads calculator to calculate tirads score and also to find recommendations.

TIRADS Table

CriteriaSubcategoriesPoints
Composition– Cystic/Spongiform: Benign0
– Mixed Cystic & Solid1
– Solid or Mostly Solid2
– Solid (hyperechoic, isoechoic, or hypoechoic, depending on severity)Higher points indicate increasing suspicion.
Echogenicity– Anechoic0
– Isoechoic or Hyperechoic1
– Hypoechoic2
– Very Hypoechoic3
Shape– Wider-than-Tall0
– Taller-than-Wide3
Margin– Smooth0
– Ill-defined0
– Lobulated or Irregular2
– Extra-thyroidal Extension3
Echogenic Foci– None0
– Large Comet-Tail Artifacts0
– Macrocalcifications1
– Peripheral/Rim Calcifications2
– Punctate Echogenic Foci3

TIRADS Categories and Recommendations

CategoryScoreSuspicion LevelRecommendations
TR10 PointsBenignNo Fine Needle Aspiration (FNA) Required
TR22 PointsNot SuspiciousNo FNA Required
TR33 PointsMildly SuspiciousFNA if ≥ 2.5 cm; Follow-up if ≥ 1.5 cm
TR44–6 PointsModerately SuspiciousFNA if ≥ 1.5 cm; Follow-up if ≥ 1 cm
TR57+ PointsHighly SuspiciousFNA if ≥ 1 cm; Follow-up if ≥ 0.5 cm

This table organizes the criteria and corresponding scores more clearly, alongside actionable follow-up based on the TIRADS score. Let me know if you’d like further refinements!

What does TIRADS stand for?

TIRADS stands for Thyroid Imaging Reporting and Data System. It is a standardized system used to classify thyroid nodules based on their ultrasound features to assess the risk of malignancy.

What is the TIRADS rating system?

The TIRADS rating system assigns points to specific ultrasound characteristics of thyroid nodules, such as composition, echogenicity, shape, margins, and echogenic foci. These points determine a TIRADS category (TR1–TR5), indicating the likelihood of malignancy and guiding management decisions.

What are the TIRADS numbers?

The TIRADS system uses five categories:

  • TR1 (Benign): No risk of malignancy.
  • TR2 (Not Suspicious): Very low risk.
  • TR3 (Mildly Suspicious): Low risk.
  • TR4 (Moderately Suspicious): Intermediate risk.
  • TR5 (Highly Suspicious): High risk.

What are the stages of TIRADS?

The stages correspond to the categories:

  1. TR1 (Benign): No action is required.
  2. TR2 (Not Suspicious): No action is required.
  3. TR3 (Mildly Suspicious): FNA or follow-up based on size.
  4. TR4 (Moderately Suspicious): FNA for nodules ≥1.5 cm or follow-up for smaller nodules.
  5. TR5 (Highly Suspicious): FNA for nodules ≥1 cm or follow-up for smaller nodules.

What is TIRADS 3 or 4?

  • TIRADS 3 (Mildly Suspicious): Low malignancy risk (about 2-5%). Follow-up or FNA may be needed for larger nodules (≥2.5 cm).
  • TIRADS 4 (Moderately Suspicious): Intermediate risk (about 5-20%). FNA is recommended for nodules ≥1.5 cm.

What is the difference between TIRADS and Bethesda?

  • TIRADS: A scoring system based on ultrasound imaging to assess the risk of malignancy and guide FNA decisions.
  • Bethesda: A cytology-based classification system used after FNA to categorize thyroid nodule biopsy results and estimate cancer risk.

Key Difference: TIRADS is pre-FNA (based on imaging), while Bethesda is post-FNA (based on cytology results).

What is the difference between TIRADS and ATA?

  • TIRADS: Focuses on a point-based scoring system using specific ultrasound features for risk stratification.
  • ATA (American Thyroid Association): Provides broader guidelines, including ultrasound features, management, and treatment recommendations for thyroid nodules and cancer.

Key Difference: ATA offers comprehensive management guidelines, while TIRADS focuses specifically on risk stratification using ultrasound.

What to do with TIRADS 4?

For TIRADS 4 (Moderately Suspicious):

  • Perform FNA if the nodule is ≥1.5 cm.
  • Consider ultrasound follow-up if the nodule is smaller (1–1.5 cm).
  • Discuss risks and next steps with a healthcare provider.

Reference

  • A study of malignancy rates in different diagnostic categories of the Bethesda system for reporting thyroid cytopathology: An institutional experience. Arul P, Akshatha C, Masilamani S. https://pubmed.ncbi.nlm.nih.gov/27013451/ Biomed J. 2015;38:517–522. doi: 10.1016/j.bj.2015.08.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Classification of benign and malignant thyroid nodules using wavelet texture analysis of sonograms. Ardakani AA, Gharbali A, Mohammadi A. https://pubmed.ncbi.nlm.nih.gov/26396168/ J Ultrasound Med. 2015;34:1983–1989. doi: 10.7863/ultra.14.09057. [DOI] [PubMed] [Google Scholar]
  • Characterization of thyroid nodules using the proposed thyroid imaging reporting and data system (TI-RADS) Cheng SP, Lee JJ, Lin JL, Chuang SM, Chien MN, Liu CL. https://pubmed.ncbi.nlm.nih.gov/22514060/ Head Neck. 2013;35:541–547. doi: 10.1002/hed.22985. [DOI] [PubMed] [Google Scholar]
  • An ultrasonogram reporting system for thyroid nodules stratifying cancer risk for clinical management. Horvath E, Majlis S, Rossi R, Franco C, Niedmann JP, Castro A, Dominguez M. https://pubmed.ncbi.nlm.nih.gov/19276237/ J Clin Endocrinol Metab. 2009;94:1748–1751. doi: 10.1210/jc.2008-1724. [DOI] [PubMed] [Google Scholar]
  • ACR Thyroid Imaging, Reporting and Data System (TI-RADS): White Paper of the ACR TI-RADS Committee. Tessler FN, Middleton WD, Grant EG, et al. https://pubmed.ncbi.nlm.nih.gov/28372962/ J Am Coll Radiol. 2017;14:587–595. doi: 10.1016/j.jacr.2017.01.046. [DOI] [PubMed] [Google Scholar]
  • TI-RADS classification of thyroid nodules based on a score modified according to ultrasound criteria for malignancy. Fernandez Sánchez J. https://www.webcir.org/revistavirtual/articulos/noviembre14/argentina/ti_rads_classification.pdf Rev Argent Radiol. 2014;78:138–148. [Google Scholar]
  • Correlation of American College of Radiology (ACR)-Thyroid Imaging Reporting and Data System (TIRADS) findings in ultrasonogram (USG) of thyroid nodules with FNAC or biopsy findings. Tuladhar AS, Pudasaini S, Simkhada S, Shrestha A, Pradhan S. https://www.nepjol.info/index.php/nmcj/article/download/44105/33290/129738 Nep Med Coll J. 2022;24:23–29. [Google Scholar]
  • High prevalence of undetected thyroid disorders in an iodine-sufficient adult south Indian population. Usha Menon V, Sundaram KR, Unnikrishnan AG, Jayakumar RV, Nair V, Kumar H. https://pubmed.ncbi.nlm.nih.gov/19585813/ J Indian Med Assoc. 2009;107:72–77. [PubMed] [Google Scholar]
  • Fisher SB, Perrier ND. The incidental thyroid nodule. CA Cancer J Clin 2018;68:97-105. 10.3322/caac.21447 [DOI] [PubMed] [Google Scholar]
  • Alexander EK, Cibas ES. Diagnosis of thyroid nodules. Lancet Diabetes Endocrinol 2022;10:533-9. 10.1016/S2213-8587(22)00101-2 [DOI] [PubMed] [Google Scholar]
  • Haugen BR, Alexander EK, Bible KC, Doherty GM, Mandel SJ, Nikiforov YE, Pacini F, Randolph GW, Sawka AM, Schlumberger M, Schuff KG, Sherman SI, Sosa JA, Steward DL, Tuttle RM, Wartofsky L. 2015 American Thyroid Association Management Guidelines for Adult Patients with Thyroid Nodules and Differentiated Thyroid Cancer: The American Thyroid Association Guidelines Task Force on Thyroid Nodules and Differentiated Thyroid Cancer. Thyroid 2016;26:1-133. 10.1089/thy.2015.0020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Grani G, Lamartina L, Ascoli V, Bosco D, Biffoni M, Giacomelli L, Maranghi M, Falcone R, Ramundo V, Cantisani V, Filetti S, Durante C. Reducing the Number of Unnecessary Thyroid Biopsies While Improving Diagnostic Accuracy: Toward the “Right” TIRADS. J Clin Endocrinol Metab 2019;104:95-102. 10.1210/jc.2018-01674 [DOI] [PubMed] [Google Scholar]
  • Hegedüs L. Clinical practice. The thyroid nodule. N Engl J Med 2004;351:1764-71. 10.1056/NEJMcp031436 [DOI] [PubMed] [Google Scholar]
  • Gharib H, Papini E, Garber JR, Duick DS, Harrell RM, Hegedüs L, Paschke R, Valcavi R, Vitti P; AACE/ACE/AME Task Force on Thyroid Nodules. American Association of Clinical Endocrinologists, American College of Endocrinology, and Associazione Medici Endocrinologi Medical Guidelines for clinical practice for the diagnosis and management of thyroid nodules–2016 update. Endocr Pract 2016;22:622-39. [DOI] [PubMed] [Google Scholar]
  • Kwak JY, Han KH, Yoon JH, Moon HJ, Son EJ, Park SH, Jung HK, Choi JS, Kim BM, Kim EK. Thyroid imaging reporting and data system for US features of nodules: a step in establishing better stratification of cancer risk. Radiology 2011;260:892-9. 10.1148/radiol.11110206 [DOI] [PubMed] [Google Scholar]
  • Shin JH, Baek JH, Chung J, Ha EJ, Kim JH, Lee YH, et al. Ultrasonography Diagnosis and Imaging-Based Management of Thyroid Nodules: Revised Korean Society of Thyroid Radiology Consensus Statement and Recommendations. Korean J Radiol 2016;17:370-95. 10.3348/kjr.2016.17.3.370 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • Tessler FN, Middleton WD, Grant EG, Hoang JK, Berland LL, Teefey SA, Cronan JJ, Beland MD, Desser TS, Frates MC, Hammers LW, Hamper UM, Langer JE, Reading CC, Scoutt LM, Stavros AT. 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. 10.1016/j.jacr.2017.01.046 [DOI] [PubMed] [Google Scholar]
  • Ruan J, Xu X, Cai Y, Zeng H, Luo M, Zhang W, Liu R, Lin P, Xu Y, Ye Q, Ou B, Luo B. A Practical CEUS Thyroid Reporting System for Thyroid Nodules. Radiology 2022;305:149-59. 10.1148/radiol.212319 [DOI] [PubMed] [Google Scholar]
  • Zhang P, Liu H, Yang X, Pang L, Gu F, Yuan J, Ding L, Zhang J, Luo W. Comparison of contrast-enhanced ultrasound characteristics of inflammatory thyroid nodules and papillary thyroid carcinomas using a quantitative time-intensity curve: a propensity score matching analysis. Quant Imaging Med Surg 2022;12:5209-21. 10.21037/qims-21-1208 [DOI] [PMC free article] [PubMed] [Google Scholar]

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