TI-RADS in Radiology: Standardized Thyroid Nodule Risk Stratification

Introduction
The Thyroid Imaging Reporting and Data System (TI-RADS) is a standardized ultrasound-based classification system used to assess the malignancy risk of thyroid nodules. Developed by the American College of Radiology (ACR), TI-RADS assigns points based on ultrasound features, guiding clinicians on when to recommend fine needle aspiration (FNA) or follow-up.
It improves reporting consistency, facilitates clear communication between radiologists and clinicians, and reduces unnecessary biopsies.

TI-RADS Scoring Principle
Each thyroid nodule is evaluated across five ultrasound categories:

  1. Composition
  2. Echogenicity
  3. Shape
  4. Margin
  5. Echogenic foci

Points from each category are summed to determine the TI-RADS level (TR1–TR5), which corresponds to malignancy risk.

TI-RADS Categories and Risk Stratification

TI-RADS LevelPointsRisk of MalignancyRecommendation
TR1 – Benign0~0%No FNA or follow-up
TR2 – Not Suspicious2~2%No FNA
TR3 – Mildly Suspicious3~5%FNA if ≥ 2.5 cm; follow-up if ≥ 1.5 cm
TR4 – Moderately Suspicious4–6~10–20%FNA if ≥ 1.5 cm; follow-up if ≥ 1 cm
TR5 – Highly Suspicious≥7~35%+FNA if ≥ 1 cm; follow-up if ≥ 0.5 cm

Ultrasound Feature Scoring

TI-RADS Calculator (ACR) – Thyroid Nodule Scoring

1. Composition:



2. Echogenicity:



3. Shape:

4. Margin:



5. Echogenic Foci (Check all that apply):



  • Composition:
    • Cystic/spongiform: 0 points
    • Mixed cystic-solid: 1 point
    • Solid: 2 points
  • Echogenicity:
    • Anechoic: 0
    • Isoechoic/hyperechoic: 1
    • Hypoechoic: 2
    • Very hypoechoic: 3
  • Shape:
    • Wider-than-tall: 0
    • Taller-than-wide: 3
  • Margins:
    • Smooth: 0
    • Ill-defined: 0
    • Lobulated/irregular: 2
    • Extra-thyroidal extension: 3
  • Echogenic foci:
    • None/large comet-tail: 0
    • Macrocalcifications: 1
    • Peripheral (rim) calcifications: 2
    • Punctate echogenic foci: 3

Procedure in Practice

  1. Perform a high-resolution thyroid ultrasound, evaluating both lobes and isthmus.
  2. Assign scores for each category based on the most suspicious nodule feature.
  3. Sum points to determine TI-RADS category.
  4. Recommend follow-up interval or FNA as per guidelines.

Advantages of TI-RADS

  • Standardizes reporting
  • Improves interobserver agreement
  • Reduces unnecessary FNAs
  • Allows risk-based patient management

Limitations

  • May under-call risk in rare aggressive variants (e.g., poorly differentiated carcinoma)
  • Less validated in pediatric population
  • Requires familiarity with scoring to avoid errors

Recent Updates & Future Directions

  • AI-assisted ultrasound for automated TI-RADS scoring
  • Integration with elastography to refine risk stratification
  • Longitudinal tracking in follow-up to monitor nodule changes

Key Takeaways

  • TI-RADS is an essential tool for thyroid nodule evaluation in radiology.
  • Accurate scoring and adherence to biopsy criteria improve patient outcomes.
  • Familiarity with ultrasound features is critical for correct classification.

References

  1. Tessler FN, et al. ACR TI-RADS: An Ultrasound Risk Stratification System for Thyroid Nodules. Radiology. 2017;284(1):92–101.
  2. Grant EG, et al. Thyroid Ultrasound Reporting Lexicon: White Paper of the ACR TI-RADS Committee. J Am Coll Radiol. 2015;12(12 Pt A):1272–1279.
  3. Middleton WD, et al. Comparison of ACR TI-RADS and ATA Guidelines for Thyroid Nodule Risk Stratification. AJR Am J Roentgenol. 2018;210(5):1148–1154.

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