Accuracy of ACR-TIRADS in assessment and diagnosis of thyroid nodules in patients underwent thyroid surgery in Taksin Hospital

Authors

  • Worawan Chainamnan Taksin Hospital, Bangkok, Thailand

Keywords:

Thyroid imaging reporting and data system (TIRADS), thyroid nodule, ultrasound

Abstract

Background: Ultrasound is generally considered most suitable to evaluate thyroid nodule sonographic morphology. The ultrasound-based risk stratification systems have been used to assess the probability of cancer in thyroid nodules.

Objective: To determine the efficacy of ultrasound-based American College of Radiology Thyroid Imaging Reporting and Data System (ACR-TIRADS) in estimating the risk of malignancy in thyroid nodules in Thailand.

Methods: A descriptive retrospective cross-sectional study was conducted at Taksin Hospital. In total, 324 patients with thyroid nodules underwent sonography and surgery; their pathological diagnoses were available, from January 2008 to April 2022. The ACR-TIRADS and ultrasound features were used to determine the risk of malignancy of thyroid nodules by using surgical histologic pathology from the tissue as the gold standard.

Results: Of the 324 cases, 276 females (85.2%) and 48 males (14.8%) were eligible for inclusion. The risk of malignancy in thyroid nodules according to ACR-TIRADS had a sensitivity of 94.8%, specificity of 79.3%, positive predictive value (PPV) of 50.0%, negative predictive value (NPV) of 98.6%, and accuracy of 82.1%. The ultrasound findings with high malignancy risks were extra-thyroidal extension, lobulated or irregular margin, taller-than-wide shape, very hypoechoic, punctate echogenic foci and enlarged cervical lymph nodes.

Conclusion: The ultrasound scoring-based ACR-TIRADS is a good indicator for evaluating cancer risk of thyroid nodules, determining further management, and reducing unnecessary thyroid biopsies.

Downloads

Download data is not yet available.

References

Mazzaferri EL. Management of a solitary thyroid nodule. N Engl J Med 1993:328;553-9.

https://doi.org/10.1056/NEJM199302253280807

Reiners C, Wegscheider K, Schicha H, Theissen P, Vaupel R, Wrbitzky R, et al. Prevalence of thyroid disorders in the working population of Germany: ultrasonography screening in 96,278 unselected employees. Thyroid 2004;14:926-32. https://doi.org/10.1089/thy.2004.14.926

Guth S, Theune U, Aberle J, Galach A, Bamberger CM. Very high prevalence of thyroid nodules detected by high frequency (13 MHz) ultrasound examination. Eur J Clin Invest 2009;39:699-706.

https://doi.org/10.1111/j.1365-2362.2009.02162.x

Cooper DS, Doherty GM, Haugen BR, Kloos RT, Lee SL, Mandel SJ, et al. Revised American Thyroid Association management guidelines for patients with thyroid nodules and differentiated thyroid cancer:the American Thyroid Association (ATA) guidelines

taskforce on thyroid nodules and differentiated thyroid cancer. Thyroid 2009;19:1167-214.

https://doi.org/10.1089/thy.2009.0110

Rojanamatin J, Ukranun W, Supaattagorn P, Chiaviriyabunya I, Wongsena M, Chaiwerawattana A, et al. Cancer in Thailand Vol. X, 2016-2018. Bangkok, Thailand: National Cancer Institute;2021.

Horvath E, Majlis S, Rossi R, Franco C, Niedmann JP, Castro A, Dominguez M. An ultrasonogram reporting system for thyroid nodules stratifying cancer risk for clinical management. J Clin Endocrinol Metab 2009;94:1748-51. https://doi.org/10.1210/jc.2008-1724

Haugen BR, Alexander EK, Bible KC, Doherty GM, Mandel SJ, Nikiforov YE, et al. 2016. 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. https://doi.org/10.1089/thy.2015.0020

Russ G, Bonnema SJ, Erdogan MF, Durante C, Ngu R, Leenhardt L. European Thyroid Association guidelines for ultrasound malignancy risk stratification of thyroid nodules in adults: The EU-TIRADS. Eur Thyroid J 2017;6:225-37. https://doi.org/10.1159/000478927

Grant EG, Tessler FN, Hoang JK, Langer JE, Beland MD, Berland LL, et al. Thyroid ultrasound reporting lexicon: white paper of the ACR thyroid imaging, reporting and data system (TIRADS) committee. J Am Coll Radiol 2015;12(12 Pt A):1272-9. https://doi.org/10.1016/j.jacr.2015.07.011

Tessler FN, Middleton WD, Grant EG, Hoang JK, Berland LL, Teefey SA, et al. ACR thyroid imaging, reporting and data system (TI-RADS): white paper of the ACR TI- RADS committee. J Am Coll Radiol

;14:587-95.

Songsaeng D. Soodchuen S, Korpraphong P, Suwanbundit A. Siriraj thyroid imaging reporting and data system and its efficacy. Siriraj Med J 2017;69:262-7.

Koc AM, Ad?belli ZH, Erkul Z, Sahin Y, Dilek I. Comparison of diagnostic accuracy of ACR - TIRADS, American Thyroid Association (ATA), and EUTIRADS guidelines in detecting thyroid malignancy. Eur J Radiol 2020;133:109390. https://doi.org/10.1016/j.ejrad.2020.109390

Middleton WD, Teefey SA, Reading CC, Langer JE, Beland MD, Szabunio MM, et al. Multiinstitutional analysis of thyroid nodule risk stratification using the American College of Radiology Thyroid Imaging Reporting and Data System. AJR Am J Roentgenol 2017;208:1331-41.

Li W, Wang Y, Wen J, Zhang L, Sun Y. Diagnostic performance of American College of Radiology TIRADS: a systematic review and meta-analysis. AJR Am J Roentgenol 2021;216:38-47.

https://doi.org/10.2214/AJR.19.22691

Kim PH, Suh CH, Baek JH, Chung SR, Choi YJ, Lee JH. Unnecessary thyroid nodule biopsy rates under four ultrasound risk stratification systems: a systematic review and meta-analysis. Eur Radiol 2021;31:2877-85.

https://doi.org/10.1007/s00330-020-07384-6

Fish SA. ACR TIRADS is best to decrease the number of thyroid biopsies and maintain accuracy. Clin Thyroidol 2019;31:113-6. https://doi.org/10.1089/ct.2019;31.113-116

Grani G, Lamartina L, Ascoli V, Bosco D, Biffoni M, Giacomelli L, et al. Reducing the number of unnecessary thyroid biopsies while improving diagnostic accuracy: toward the "right" TIRADS. J Clin Endocrinol Metab 2019;104:95-102. https://doi.org/10.1210/jc.2018-01674

Mohamed HE, Mohamed SE, Anwar MA, Al-Qurayshi Z, Sholl A, Thethi T, et al. The significance of enlarged cervical lymph nodes in diagnosing thyroid cancer. J Cancer Res Ther 2016;12:1006-9.

https://doi.org/10.4103/0973-1482.171360

Sudjai N. Sample size calculation for diagnostic test studies. J Med Health Sci. 2020 Aug;27:167-82.

Wongwattana P, Pattarapongsant P, Liangsupong S, Sukontha S, Khumsan S, Yimpornpipathpon I. Diagnostic performance of ultrasonography with ACR TI-RADS in thyroid mass in HRH Princess Maha Chakri Sirindhorn Medical Center. J Med Health Sci 202;28:90-102.

Harmontree S. Accuracy of ACR-TIRADS in assessment and diagnosis of thyroid nodule in Sena Hospital, Ayutthaya province. J Med & Public Health, UBU 2021;4:28-39

Fleiss JL. Statistical methods for rates and proportions. 2thed. New York: John Wiley and Sons; 1981.

Phuttharak W, Boonrod A, Klungboonkrong V, Witsawapaisan T. Interrater reliability of various thyroid imaging reporting and data system (TIRADS) classifications for differentiating benign from malignant thyroid nodules. Asian Pac J Cancer Prev 2019;20:1283-8.

https://doi.org/10.31557/APJCP.2019.20.4.1283

Wang Y, Zhang Q, Ran H. Comparison of American college of radiology and Kwak thyroid imaging reporting and data system. Chin J Med Imaging 2017:12:881-4.

Zheng Y, Xu S, Kang H, Zhan W. A single-center retrospective validation study of the American College of Radiology Thyroid Imaging Reporting and Data System. Ultrasound Q 2018;34:77-83.

https://doi.org/10.1097/RUQ.0000000000000350

Ruan JL, Yang HY, Liu RB, Liang M, Han P, Xu XL, et al. Fine needle aspiration biopsy indications for thyroid nodules: compare a point-based risk stratification system with a pattern-based risk stratification system. Eur Radiol 2019;29:4871-8. https://doi.org/10.1007/s00330-018-5992-z

Gao L, Xi X, Jiang Y, Yang X, Wang Y, Zhu S, et al. Comparison among TIRADS (ACR TI-RADS and KWAK-TI-RADS) and 2015 ATA Guidelines in the diagnostic efficiency of thyroid nodules. Endocrine. 2019;64:90-6.

https://doi.org/10.1007/s12020-019-01843-x

Chen F, Sun Y, Chen G, Luo Y, Xue G, Luo K, et al. The Diagnostic Efficacy of the American College of Radiology (ACR) Thyroid Imaging Report and Data System (TI-RADS) and the American Thyroid Association (ATA) Risk Stratification Systems for Thyroid Nodules. Comput Math Methods Med 2022;2022:9995962.

Triggiani V, Guastamacchia E, Licchelli B, Tafaro E. Microcalcifications and psammoma bodies in thyroid tumors. Thyroid 2008;18:1017-8. https://doi.org/10.1089/thy.2008.0082

Anil G, Hegde A, Chong FV. Thyroid nodules: risk stratification for malignancy with ultrasound and guided biopsy. Cancer Imaging 2011;11:209-23.

Frates MC, Benson CB, Charboneau JW, Cibas ES, Clark OH, Coleman BG, et al. Management of thyroid nodules detected at US: Society of Radiologists in Ultrasound consensus conference statement. Radiology 2005;237:794-800 . https://doi.org/10.1148/radiol.2373050220

Downloads

Published

2023-06-06

How to Cite

1.
Chainamnan W. Accuracy of ACR-TIRADS in assessment and diagnosis of thyroid nodules in patients underwent thyroid surgery in Taksin Hospital. Chula Med J [Internet]. 2023 Jun. 6 [cited 2024 May 20];67(3). Available from: https://he05.tci-thaijo.org/index.php/CMJ/article/view/25