ACR Thyroid Imaging Reporting and Data System (ACR TI-RADS)
Citation, DOI & article data
This uses a standardized scoring system for reports providing users with recommendations for when to use fine needle aspiration (FNA) or ultrasound follow-up of suspicious nodules, and when to safely leave alone nodules that are benign/not suspicious.
Scoring is determined from five categories of ultrasound findings (figure 2). The higher the cumulative score, the higher the TR (TI-RADS) level and the likelihood of malignancy.
One score is assigned from each of the following categories:
composition: (choose one)
- cystic or completely cystic *: 0 points
- spongiform *: 0 points
- mixed cystic and solid: 1 point
- solid or almost completely solid: 2 points
echogenicity: (choose one)
- anechoic: 0 points
- hyper- or isoechoic: 1 point
- hypoechoic: 2 points
- very hypoechoic: 3 points
shape: (choose one) (assessed on the transverse plane)
- wider than tall: 0 points
- taller than wide: 3 points
margin: (choose one)
- smooth: 0 points
- ill-defined: 0 points
- lobulated/irregular: 2 points
- extra-thyroidal extension: 3 points
Any and all findings in the final category are also added to the other four scores.
echogenic foci: (choose one or more)
- none: 0 points
- large comet-tail artifact: 0 points
- macrocalcifications: 1 point
- peripheral/rim calcifications: 2 points
- punctate echogenic foci: 3 points
The findings in each category were detailed in the ACR committee's 2015 publication on a reporting lexicon 2. If multiple nodules are present only the four highest-scoring nodules (not necessarily the largest) should be scored, reported, and followed up.
* Predominantly cystic or spongiform nodules are inherently benign. If these features are present no further points will be added (automatically TR1).
Scoring and classification
TR1: 0 points
TR2: 2 points
- not suspicious
TR3: 3 points
- mildly suspicious
TR4: 4-6 points
- moderately suspicious
TR5: ≥7 points
- highly suspicious
- TR1: no FNA required
- TR2: no FNA required
TR3: ≥1.5 cm follow up, ≥2.5 cm FNA
- follow up: 1, 3 and 5 years
TR4: ≥1.0 cm follow up, ≥1.5 cm FNA
- follow up: 1, 2, 3 and 5 years
TR5: ≥0.5 cm follow up, ≥1.0 cm FNA
- annual follow up for up to 5 years
FNA biopsy is recommended for suspicious lesions (TR3-TR5) with the above size criteria. If there are multiple nodules, the two with the highest ACR TI-RADS scores should be sampled (rather than the two largest), with largest size being used a tie-breaker if there are multiple nodules of the same classification.
Interval enlargement on follow-up is significant if there is an increase of >20% and >2 mm in two dimensions or a >50% increase in volume. If the ACR TI-RADS level increases between scans, an interval scan the following year is again recommended.
Risk of malignancy
The projected risk of malignancy in the original 2017 paper 1 was based on partial analysis of 3433 nodules with cytological results. Partial analysis at the time of publication showed rates of <2% for TR1/TR2, 5% for TR3, 5-20% for TR4 and >20% for TR5 nodules. The final analysis 4 demonstrated a stepwise increase for each point awarded by ACR TI-RADS, with each category validated. The published malignancy rates are:
- TR1: 0.3%
- TR2: 1.5%
- TR3: 4.8%
- TR4: 9.1%
- TR5: 35%
Developments leading to ACR TI-RADS 2017
The previous ACR white paper from 2015 2 developed a lexicon from descriptive reports and this has been updated by the stratified scoring system in the 2017 white paper, rather than relying on a pattern-based system. Outcomes and recommendations are supported by another ACR paper on incidental thyroid nodules 3 and data from the Surveillance, Epidemiology, and End Results (SEER) programme of the National Cancer Institute.
The 2015 reporting lexicon 2 included 6 stages with a number of subdivisions (not replicated in this ACR TI-RADS) with increasing risk of malignancy.
The ACR system does not provide a grade for "normal thyroid gland" unlike other thyroid reporting systems, preserving ACR TI-RADS for lesion reporting. TR1 instead includes benign simple and/or spongiform cysts, each meeting 0 points from the criteria. Purely anechoic/cystic lesions are assigned 0 points, whereas if described as "very hypoechoic" they would be assigned 3 points leading to a likely fruitless FNA and probable patient/physician anxiety.
Frank invasion of surrounding structures is a unfavorable prognostic sign and is assigned 3 points. If minimal extrathyroidal extension is suspected without frank invasion, especially with otherwise benign features, caution and experience should be used when reporting.
"Punctate echogenic foci" can encompass both microcalcifications and inspissated colloid, depending on technique and size of the colloid foci in a nodule. Unlike microcalcifications, foci of inspissated colloid are not associated with malignancy and they often appear differently to microcalcifications on closer inspection. Inspissated colloid is not a high risk feature.
Comparison with other classification systems
Comparative studies show the ACR system has a sensitivity ranging 75-97% and specificity ranging 53-67%, which is either the highest sensitivity and lowest specificity amongst compared systems 6, or, to the contrary, the highest specificity 7,8. With the latter two studies, the ACR system had the greatest overall performance (measured by area under the receiver operating characteristic curve or accuracy), resulting in lower rates of unnecessary fine needle aspiration (false positive rates) 7,8.
Good interobserver agreement regarding decision to biopsy has also been shown (Cohen kappa 0.61) 9.
No formal revisions to ACR TI-RADS have been made at present, although one group used artificial intelligence to refine the algorithm, with maintained high sensitivity, increased specificity, and reduced FNA rates 10.
- 1. Tessler FN, Middleton WD, Grant EG, Hoang JK, Berland LL, et al. ACR Thyroid Imaging, Reporting and Data System (TI-RADS): White Paper of the ACR TI-RADS Committee. (2017) Journal of the American College of Radiology : JACR. 14 (5): 587-595. doi:10.1016/j.jacr.2017.01.046 - Pubmed
- 2. Grant EG, Tessler FN, Hoang JK, Langer JE, Beland MD, Berland LL, Cronan JJ, Desser TS, Frates MC, Hamper UM, Middleton WD, Reading CC, Scoutt LM, Stavros AT, Teefey SA. Thyroid Ultrasound Reporting Lexicon: White Paper of the ACR Thyroid Imaging, Reporting and Data System (TIRADS) Committee. (2015) Journal of the American College of Radiology : JACR. 12 (12 Pt A): 1272-9. doi:10.1016/j.jacr.2015.07.011 - Pubmed
- 3. Hoang JK, Langer JE, Middleton WD, Wu CC, Hammers LW, Cronan JJ, Tessler FN, Grant EG, Berland LL. Managing incidental thyroid nodules detected on imaging: white paper of the ACR Incidental Thyroid Findings Committee. Journal of the American College of Radiology : JACR. 2015; 12 (2): 143-50. doi:10.1016/j.jacr.2014.09.038 - Pubmed
- 4. Middleton WD, Teefey SA, Reading CC, et al. Multiinstitutional Analysis of Thyroid Nodule Risk Stratification Using the American College of Radiology Thyroid Imaging Reporting and Data System. (2017) American Journal of Roentgenology. 208 (6): 1331-1341. doi:10.2214/AJR.16.17613 - Pubmed
- 5. Kim MJ, Kim EK, Park SI et-al. US-guided fine-needle aspiration of thyroid nodules: indications, techniques, results. Radiographics. 2008;28 (7): 1869-86. Radiographics (full text) - doi:10.1148/rg.287085033 - Pubmed citation
- 6. Ting Xu, Ya Wu, Run-Xin Wu, Yu-Zhi Zhang, Jing-Yu Gu, Xin-Hua Ye, Wei Tang, Shu-Hang Xu, Chao Liu, Xiao-Hong Wu. Validation and comparison of three newly-released Thyroid Imaging Reporting and Data Systems for cancer risk determination. (2019) Endocrine. 64 (2): 299. doi:10.1007/s12020-018-1817-8 - Pubmed
- 7. Eun Ju Ha, Dong Gyu Na, Jung Hwan Baek, Jin Yong Sung, Ji-hoon Kim, So Young Kang. US Fine-Needle Aspiration Biopsy for Thyroid Malignancy: Diagnostic Performance of Seven Society Guidelines Applied to 2000 Thyroid Nodules. (2018) Radiology. 287 (3): 893-900. doi:10.1148/radiol.2018171074 - Pubmed
- 8. Grani, Giorgio, Lamartina, Livia, Ascoli, Valeria, Bosco, Daniela, Biffoni, Marco, Giacomelli, Laura, Maranghi, Marianna, Falcone, Rosa, Ramundo, Valeria, Cantisani, Vito, Filetti, Sebastiano, Durante, Cosimo. Reducing the Number of Unnecessary Thyroid Biopsies While Improving Diagnostic Accuracy: Toward the “Right” TIRADS. (2019) The Journal of Clinical Endocrinology & Metabolism. 104 (1): 95. doi:10.1210/jc.2018-01674 - Pubmed
- 9. Giorgio Grani, Livia Lamartina, Vito Cantisani, Marianna Maranghi, Piernatale Lucia, Cosimo Durante. Interobserver agreement of various thyroid imaging reporting and data systems. (2018) Endocrine Connections. 7 (1): 1. doi:10.1530/EC-17-0336 - Pubmed
- 10. Benjamin Wildman-Tobriner, Mateusz Buda, Jenny K. Hoang, William D. Middleton, David Thayer, Ryan G. Short, Franklin N. Tessler, Maciej A. Mazurowski. Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility. (2019) Radiology. doi:10.1148/radiol.2019182128 - Pubmed
- 11. Rafel R. Tappouni, Jason N. Itri, Teresa S. McQueen, Neeraj Lalwani, Jao J. Ou. ACR TI-RADS: Pitfalls, Solutions, and Future Directions. (2019) RadioGraphics. 39 (7): 2040-2052. doi:10.1148/rg.2019190026 - Pubmed