Thyroid Imaging Reporting and Data System (TIRADS)

Young Kwak Jin

doi:10.11106/jkta.2013.6.2.106

Journal List > J Korean Thyroid Assoc > v.6(2) > 1056529

Go to TopGo to Top Go to BottomGo to Bottom

TOOLS

Jin: Thyroid Imaging Reporting and Data System (TIRADS)

Original Article

J Korean Thyroid Assoc 2013;6(2):106-109.

Published online: 3 May 2013

DOI: https://doi.org/10.11106/jkta.2013.6.2.106

Thyroid Imaging Reporting and Data System (TIRADS)

Young Kwak Jin

Department of Radiology, Research Institute of Radiological Science, Yonsei University, College of Medicine, Seoul, Korea

Address reprint requests to Jin Young Kwak, MD, PhD, Department of Radiology, Yonsei University, College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-752, Korea Tel: 82-2-2228-7400, Fax: 82-2-393-3035, E-mail: docjin@yuhs.ac

Received 8 April 2013 Accepted 24 September 2013

This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http:// creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Ultrasound (US) is the best diagnostic choice for thyroid nodules. Recently, the thyroid imaging reporting and data system (TIRADS) has been developed for risk stratification of thyroid nodules using various US features, similar to Breast Imaging Reporting and Data System (BI-RADS) for evaluating breast lesions. The reporting system can allow effective communication between the reporting doctors, such as radiologists, cytologists, and clinicians using standardization and simplification of the reports. In this review, I discuss several TIRADS systems developed.

Keywords: Thyroid nodule, Ultrasonography, TIRADS, Fine needle aspiration

References

1. Kwak JY, Han KH, Yoon JH, Moon HJ, Son EJ, Park SH, et al. Thyroid imaging reporting and data system for US features of nodules: a step in establishing better stratification of cancer risk. Radiology. 2011; 260(3):892–9.

2. American College of Radiology.Breast imaging reporting and data system, breast imaging atlas. 4th ed.Reston: American College of Radiology;2003.

3. Park JY, Lee HJ, Jang HW, Kim HK, Yi JH, Lee W, et al. A proposal for a thyroid imaging reporting and data system for ultrasound features of thyroid carcinoma. Thyroid. 2009; 19(11):1257–64.

4. Hambly NM, Gonen M, Gerst SR, Li D, Jia X, Mironov S, et al. Implementation of evidence-based guidelines for thyroid nodule biopsy: a model for establishment of practice standards. AJR Am J Roentgenol. 2011; 196(3):655–60.

5. Kwak JY, Jung I, Baek JH, Baek SM, Choi N, Choi YJ, et al. Image reporting and characterization system for ultrasound features of thyroid nodules: multicentric Korean retrospective study. Korean J Radiol. 2013; 14(1):110–7.

6. Horvath E, Majlis S, Rossi R, Franco C, Niedmann JP, Castro A, et al. An ultrasonogram reporting system for thyroid nodules stratifying cancer risk for clinical management. J Clin Endocrinol Metab. 2009; 94(5):1748–51.

7. Barentsz JO, Richenberg J, Clements R, Choyke P, Verma S, Villeirs G, et al. ESUR prostate MR guidelines 2012. Eur Radiol. 2012; 22(4):746–57.

8. Purysko AS, Remer EM, Coppa CP, Leao Filho HM, Thupili CR, Veniero JC. LI-RADS: a case-based review of the new categorization of liver findings in patients with end-stage liver disease. Radiographics. 2012; 32(7):1977–95.

9. Amor F, Alcazar JL, Vaccaro H, Leon M, Iturra A. GI-RADS reporting system for ultrasound evaluation of adnexal masses in clinical practice: a prospective multicenter study. Ultrasound Obstet Gynecol. 2011; 38(4):450–5.

10. Cibas ES, Ali SZ. The Bethesda System for Reporting Thyroid Cytopathology. Thyroid. 2009; 19(11):1159–65.

11. Oertel YC. A pathologist trying to help endocrinologists to interpret cytopathology reports from thyroid aspirates. J Clin Endocrinol Metab. 2002; 87(4):1459–61.

12. Choi SH, Kim EK, Kwak JY, Kim MJ, Son EJ. Interobserver and intraobserver variations in ultrasound assessment of thyroid nodules. Thyroid. 2010; 20(2):167–72.

13. Kim HG, Kwak JY, Kim EK, Choi SH, Moon HJ. Man to man training: can it help improve the diagnostic performances and interobserver variabilities of thyroid ultrasonography in residents? Eur J Radiol. 2012; 81(3):e352–6.

Fig. 1.

An inappropriate interpretation report of mammography.

Fig. 2.

Appropriate interpretation report of thyroid FNA with additional management.

Table 1.

Breast Imaging Reporting and Data System (BI-RADS)

	Final assessment	Malignant risk	Management
Category 1 Category 2 Category 3 Category 4 Category 5 Category 6	Negative Benign Probably benign Suspicious malignancy Highly suggestive of malignancy Known malignancy	0 0 Less than 2% Between category 3 and 5 Equal or more than 95%	Imaging follow up after 6 months Intervention Intervention

TOOLS

Similar articles