ACR TI-RADS Classification in Predicting Thyroid Malignancy at Prachuapkhirikhan Hospital

Authors

  • Autchara Suttawas, M.D. Division of Radiology, Prachuapkhirikhan Hospital

Keywords:

ACR TI-RADS (American College of Radiology Thyroid Imaging, Reporting and Data System), thyroid cancer, fine-needle aspiration, ultrasound

Abstract

        Objective: To determine the useful of ACR TI-RADS classification in predicting thyroid malignancy at Prachuapkhirikhan Hospital.

        Material and Methods: The radiological reports of patients which diagnosed as ACR TI-RADS classification and pathological records at Prachuapkhirikhan Hospital from January 1, 2018 to July 31, 2018 were retrospectively studied. The risk of malignancy of each ACR TI-RADS category was determined. Statistical accesses of some major ultrasound features were analyzed.

        Results: Total of 137 patients who underwent ultrasound of thyroid glands at Prachuapkhirikhan Hospital, 55 patients were included. Seven out of 55 (12.7%) patients were thyroid cancer. The risk of malignancy in ACR TI-RADS 3, 4 and 5 categories were about 5.6%, 11.1% and 57.1%, respectively. Specificity of taller-than-wide shape, extra-thyroidal extension, irregular or lobulated margins, very hypoechogenicity and microcalcification in ultrasound features for thyroid malignancy were 100%, 100%, 87.5%, 77.1% and 68.8%, respectively.

        Conclusion: For predicting thyroid malignancy. Fine-needle biopsy is most often done in a suspected malignant nodule and ACR TI-RADS classification is useful.

Author Biography

Autchara Suttawas, M.D., Division of Radiology, Prachuapkhirikhan Hospital

Thai Board of Radiology

References

1. Haugen BR, Alexander EK, Bible KC, et al. 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.

2. Songsaeng D, Soodchuen S, Korpraphong P, et al. Siriraj Thyroid Imaging Reporting and Data System and its efficacy. Siriraj Med J 2017;69:262-7.

3. Tessler FN, Middleton WD, Grant EG, et al. 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.

4. Horvath E, Majlis S, Rossi R, et al. An ultrasonogram reporting system for thyroid nodules stratifying cancer risk for clinical management. J Clin Endocrinol Metab 2009;94:1748-51.

5. Park JY, Lee HJ, Jang HW, et al. A proposal for a thyroid imaging reporting and data system for ultrasound features of thyroid carcinoma. Thyroid 2009;19:1257-64 .

6. Kwak JY, Han KH, Yoon JH, et al. Thyroid imaging reporting and data system for US features of nodules: a step establishing better stratification of cancer risk. Radiology 2011;260:892-9.

7. Moifo B, Takoeta EO, Tambe J, et al. Reliability of thyroid imaging reporting and data system (TIRADS) classification in differentiating benign from malignant thyroid nodules. Open J Radiol 2013;3:103-7.

Downloads

Published

2019-08-08

How to Cite

1.
Suttawas A. ACR TI-RADS Classification in Predicting Thyroid Malignancy at Prachuapkhirikhan Hospital. Reg 4-5 Med J [internet]. 2019 Aug. 8 [cited 2025 Dec. 6];38(2):84-92. available from: https://he02.tci-thaijo.org/index.php/reg45/article/view/208035

Issue

Section

Original Article