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Date Published: 11/07/2022
Online Published: 11/07/2022
Abstract Views: 140
Views PDF: 144
DOI: https://doi.org/10.55046/vjrnm.29.495.2018
Issue
No. 29 (2018)
Section
Scientific research
How to Cite
Le, T. H. V., Pham, K. L., & Nguyen, P. B. Q. (2022). Research value of ultrasonographic and TIRADS 2017 classification as ACR (American College of Radiology). Vietnamese Journal of Radiology and Nuclear Medicine, 29, 81-86. https://doi.org/10.55046/vjrnm.29.495.2018

Research value of ultrasonographic and TIRADS 2017 classification as ACR (American College of Radiology)

Dr Le Thi Hong Vu1, Dr Pham Thi Khanh Le2, Dr Nguyen Phuoc Bao Quan3
1 Vinmec Danang Hospital
2 Cuba Hospital, Dong Hoi
3 Hue central hospital

Main Article Content

Abstract

Purposes: Describe imaging characteristics and stratify TIRADS 2017 as ACR.
Materials and methods: There are 259 consecutive patients with thyroid nodules on ultrasound. All of them were undergone
operation with pathology after surgery.
Results: The average age is 42,8 ± 12,2 years old and female/ male=10/1. Histopathology results after surgery, thyroid cancer 9,3%. The solitary nodules are the highest ratio (65,8%). Most lesions are over 25 mm in size. TIRADS 3 is the highest (40,2%) and the least is TIRADS 2 accounts for 0,4 %. TIRADS 2017 classification and pathology indicates strong evidence with p < 0,05.
Conclusion:TIRADS 3 is the highest (40,2%) and TIRADS 2017 classification and pathology indicates strong evidence with p < 0,05.

Article Details

Keywords

Thyroid nodule, TIRADS classification

References

1. Trịnh Thị Thu Hồng, Vương Thừa Đức (2010), “Giá trị siêu âm trong dự đoán ung thư bướu giáp đa nhân”, Tạp chí Y học thành phố Hồ Chí Minh, Hội nghị khoa học kỹ thuật BV. Bình Dân, tập 14 (1), tr. 55 - 59.
2. Phạm Minh Thông (2012), “Siêu âm tổng quát’’,Nhà xuất bản Đại học Huế, tr. 464 – 482.
3. Elaraj D.M. (2010), “Evaluation of the thyroidnodule”, Endocrine Neoplasia,153, pp.23-32.
4. Edward G. Grant et al (2015), “Thyroidultrasound reporting lexicon:White Paper of the ACRthyroid imaging, reporting and Data system (TIRADS)
commitee”, J Am Coll Radiol, 12, pp. 1272-1279.
5. Ghervan Cristina (2011), “Thyroid andparathyroid ultrasound”, Medical Ultrasonography,13(1), pp.80-84.
6. Kwak J.Y. et al (2011), “Thyroid ImagingReporting and Data System for US Features of Nodules:A Step in Establishing Better Stratification of CancerRisk”, Radiological Society of North America, 260 (3),pp.892 – 899.
7. Ozel Alper et al (2012), “The diagnosticefficiency of ultrasound in characterization for thyroidnodules: how many criteria are required to predict
malignancy?”, Medical Ultrasonography, 14 (1), pp.24-28.
8. SoffermanR.A. (2012), Ultrasound of theThyroid and Parathyroid Glands, Springer, pp.3-107.
9. Tessler FN, Middleton WD, Grant EG, et al,ACR Thyroid Imaging, “Reporting and Data System (TIRADS):White Paper of the ACR TI-RADS Committee”,J Am Coll Radiol. In press; 2017.