Thyroid imaging reporting and data system
Thyroid imaging reporting and data system, abbreviated TIRADS and TI-RADS, is a standardized system for reporting thyroid radiology.[1]
ACR TIRADS
The American College of Radiology came out with a TIRADS version that is known as ACR TIRADS in 2017.[citation needed] It is often abbreviated TR.
| ACR TIRADS | Points | Meaning | Management |
|---|---|---|---|
| TR1 | 0 points | benign | |
| TR2 | 2 points | benign finding(s) | |
| TR3 | 3 points | mildly suspicious for malignancy | FNA if lesion >= 2.5 cm; follow-up if lesion >= 1.5 cm |
| TR4 | 4 to 6 points | moderately suspicious for malignancy | FNA if lesion >= 1.5 cm; follow-up if lesion >= 1.0 cm |
| TR5 | 7 or more points | highly suspicious for malignancy | FNA if lesion >= 1.0 cm; follow-up if lesion >= 0.5 cm |
"Original" TIRADS
The original TIRADS is broadly similar to BI-RADS and consists of six possible categorizations:[2]
| Score | Meaning | Typical management |
|---|---|---|
| 0 | incomplete | come back for more imaging |
| 1 | negative | |
| 2 | benign finding(s) | |
| 3 | probably benign | often short follow-up |
| 4 ‡ | suspicious abnormality | needs biopsy |
| 5 | highly suggestive of malignancy | biopsy to confirm impression |
| 6 | pathologist says there is a malignancy | excision |
Notes:
Subdivision of score 4
Category 4 has been subdivided as per Kwak et al.:[3]
| Score | Definition | Risk of malignancy |
|---|---|---|
| 4a | one suspicious feature | 3.3% |
| 4b | two suspicious features | 9.2% |
| 4c | three or four suspicious features | 44.4-72.4% |
See also
References
- ↑ Russ, G.; Leboulleux, S.; Leenhardt, L.; Hegedüs, L. (Sep 2014). "Thyroid incidentalomas: epidemiology, risk stratification with ultrasound and workup.". Eur Thyroid J 3 (3): 154-63. doi:10.1159/000365289. PMID 25538897.
- ↑ Horvath, E.; Majlis, S.; Rossi, R.; Franco, C.; Niedmann, JP.; Castro, A.; Dominguez, M. (May 2009). "An ultrasonogram reporting system for thyroid nodules stratifying cancer risk for clinical management.". J Clin Endocrinol Metab 94 (5): 1748-51. doi:10.1210/jc.2008-1724. PMID 19276237.
- ↑ 3.0 3.1 3.2 Kwak, JY.; Han, KH.; Yoon, JH.; Moon, HJ.; Son, EJ.; Park, SH.; Jung, HK.; Choi, JS. et al. (Sep 2011). "Thyroid imaging reporting and data system for US features of nodules: a step in establishing better stratification of cancer risk.". Radiology 260 (3): 892-9. doi:10.1148/radiol.11110206. PMID 21771959.