Diagnostic performance of ultrasonography with ACR TI-RADS in thyroid mass in HRH Princess Maha Chakri Sirindhorn Medical Center
Keywords:
Diagnostic performance, screening test, sensitivity, thyroid mass, thyroid cancer, ultrasonographyAbstract
Abstract
The current guidelines for the diagnosis and treatment of thyroid mass patients are to perform thyroid ultrasonography in all cases. The information obtained from this examination serve as a guideline in the consideration of the fine needle aspiration test and to determine further treatment of the patients. Thyroid ultrasonography is therefore an important screening tool for diseases. The objectives of this study are to study the diagnostic performance of using ultrasound, reported on the ACR TI-RADS system in predicting thyroid cancer, compared to the pathological results of thyroid surgery. A cross-sectional descriptive study was conducted at the department of Otolaryngology at HRH Princess Maha Chakri Sirindhorn Medical Center from 1 January 2016 to 31 December 2020. The results were as follows: 128 eligible patients, 107 females (83.59%). The mean age of the patients was 49.62±13.55 years. The thyroid ultrasonography results were reported according to the ACR TI-RADS system as follows: sensitivity, specificity, positive predictive value, negative predictive value, and an accuracy of 100 (95% CI=89.70-100), 63.80 (95% CI=53.30-73.50), 50 (95% CI=37.60-62.40), 100 (95% CI=94-100), and 73.80 (95% CI=65.40-81.20), respectively. The incidence of thyroid cancer was 26.56%. In conclusion, the diagnostic performance of ultrasound was reported based on the ACR TI-RADS system in terms of predicting thyroid cancer. The sensitivity of the test was 100%.
References
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2. Reiners C, Wegscheider K, Schicha H, et al. Prevalence of thyroid disorders in the working population of Germany: ultrasonography screening in 96,278 unselected employees. Thyroid 2004;14:926-32.
3. Russ G, Leboulleux S, Leenhardt L, et al. Thyroid incidentalomas: Epidemiology, risk stratification with ultrasound and workup. Eur Thyroid J 2014;3:154-63.
4. Guth S, Theune U, Aberle J, et al. Very high prevalence of thyroid nodules detected by high frequency (13 MHz) ultrasound examination. Eur J Clin Invest 2009;39:699-706.
5. Ll H. Clinical practice: The thyroid nodule. N Engl J Med 2004;351:1764-71.
6. Mandel SJ. A 64-year-old woman with a thyroid nodule. JAMA 2004;292:2632-42.
7. Choi YJ, Park YL, Koh JH. Prevalence of thyroid cancer at a medical screening center: Pathological features of screendetected thyroid carcinomas. Yonsei Med J 2008;49:748-56.
8. Davies L, Welch HG. Current thyroid cancer trends in the United States. JAMA Otolaryngol Head Neck Surg 2014;140:317-22.
9. Rahbari R, Zhang L, Kebebew E. Thyroid cancer gender disparity. Future Oncol 2010;6:1771-9.
10. Tangjaturonrasme N, Vatanasapt P, Bychkov A. Epidemiology of head and neck cancer in Thailand. Asia Pac J Clin Oncol 2018;14:16-22.
11. 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.
12. 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.
13. Li X, Hou X-J, Du L-Y, et al. Virtual touch tissue imaging and quantification (VTIQ) combined with the American college of radiology thyroid imaging reporting and data system (ACR TI-RADS) for malignancy risk stratification of thyroid nodules. Clin Hemorheol Microcirc 2019;72:279-91.
14. Wongwattana P, Siangsung T, Bhuripongrat N, et al. Diagnostic accuracy of fine needle aspiration in thyroid mass in HRH Princess Maha Chakri Sirindhorn Medical Center.
J Med Health Sci 2020;27:112-22.
15. Leni D, Seminati D, Fior D, et al. Diagnostic performances of the ACR-TIRADS system in thyroid nodules triage: A prospective single center study. Cancers (Basel) 2021;13:2230.
16. Mistry R, Hillyar C, Nibber A, et al. Ultrasound classification of thyroid nodules: A systematic review. Cureus 2020;12:e7239.
17. Phuttharak W, Boonrod A, Klungboonkrong V, et al. 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.
18. Li W, Wang Y, Wen J, et al. Diagnostic performance of American college of radiology TI-RADS: A systematic review and meta-analysis. AJR Am J Roentgenol 2021;216:38-47.
19. Harmontree S. Accuracy of ACR-TIRADS in assessment and diagnosis of thyroid nodule in Sena hospital, Ayutthaya province. J Med Public Health 2021;4:
28-39.
20. 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;25:881-4.
21. Singaporewalla R, Hwee J, Lang T, et al. Clinico-pathological correlation of thyroid nodule ultrasound and cytology using the TIRADS and Bethesda classifications. World J Surg 2017;41:1807-11.
22. Zhang Y, Xu T, Gu J, et al. Effectiveness evaluation of the thyroid imaging report and data system proposed by American radiological society (2017)(ACR-TIRADS) for
differential diagnosis in thyroid nodules. Chin J Ultrasonography 2018:505-9.
23. Zheng Y, Xu S, Kang H, et al. A singlecenter retrospective validation study of the American college of radiology thyroid imaging reporting and data system.
Ultrasound Q 2018;34:77-83.
24. Grani G, Lamartina L, Ascoli V, 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.
25. Ahmadi S, Oyekunle T, Scheri R, et al. A direct comparison of the ATA and TI-RADS ultrasound scoring systems. Endocr Pract 2019;25:413-22.
26. Ruan J-l, Yang H-y, Liu R-b, et al. Fine needle aspiration biopsy indications for thyroid nodules: Compare a point-based risk stratification system with a patternbased risk stratification system. Eur Radiol 2019;29:4871-8.
27. Gao L, Xi X, Jiang Y, et al. Comparison among TIRADS (ACR TI-RADS and KWAKTI-RADS) and 2015 ATA guidelines in the diagnostic efficiency of thyroid nodules. Endocrine 2019;64:90-6.
28. Miao S, Jing M, Sheng R, et al. The analysis of differential diagnosis of benign and malignant thyroid nodules based on ultrasound reports. Gland Surg 2020;9:653.
29. Dighe M, Kim J, Luo S, et al. Utility of the ultrasound elastographic systolic thyroid stiffness index in reducing fine-needle aspirations. J Ultrasound Med 2010;29: 565-74.
30. Sun J, Cai J, Wang X. Real-time ultrasound elastography for differentiation of benign and malignant thyroid nodules. J Ultrasound Med 2014;33:495-502.
31. Suttawas A. ACR TI-RADS classification in predicting thyroid malignancy at Prachuapkhirikhan hospital. Reg 4-5 Med J 2019;38:84-92.
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Published
2021-12-30
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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 [Internet]. 2021 Dec. 30 [cited 2024 Apr. 26];28(3):90-102. Available from: https://he01.tci-thaijo.org/index.php/jmhs/article/view/254025
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