Concordance of the TI-RADS classification and the Bethesda System to detect malignancy in patients with thyroid nodule

Main Article Content

Luis Omar Domínguez-Palomera
Magdicarla Ercilia De Alba-Márquez
Oscar Fernando Adame-Betanzos
Eduardo Sárda-Inman
Ana Paula Vázquez-Navarro

Abstract

Introduction: Evaluate the concordance of the TI-RADS classification and the
Bethesda system to detect malignancy in patients with a thyroid nodule. Material
and Methods: Through an observational, retrospective and cross-sectional study
in 90 patients with a diagnosis of thyroid nodule, to which neck ultrasound was
performed, definitive histopathological study and the TI-RADS (Thyroid Imaging
Reporting and Data System) and Bethesda scales were applied during their approach
from July 2018 to November 2020. Results: obtaining as a result, a predominance
of the female sex, a sensitivity of 43.6% and specificity of 94.2% in classification of
TI-RADS. Regarding the Bethesda classification, we obtained a sensitivity of 94.5%
and a specificity of 51.4%. With a low agreement as a result between the two tests.
Discussion: according to the results obtained in our study, we could verify that patients
with thyroid nodules benefit from an appropriate approach that includes a neck
Doppler USG, performed by a trained professional, in addition to the realization of
a Fine Needle Aspiration Biopsy (FNA) in the cases in which they are well indicated.
The concordance test was low; therefore, we consider it necessary to use both
diagnostic tests within clinical practice. Conclusion: the correct use of the TI-RADS
classification to identify the characteristics of a thyroid nodule allows reliable differentiation
to patients to undergo a FNA of those who do not require it. The Bethesda
system can support decision making or change therapeutic behavior, especially in
patients with high suspicion of malignancy.

Downloads

Download data is not yet available.

Article Details

How to Cite
1.
Domínguez-Palomera LO, De Alba-Márquez ME, Adame-Betanzos OF, Sárda-Inman E, Vázquez-Navarro AP. Concordance of the TI-RADS classification and the Bethesda System to detect malignancy in patients with thyroid nodule. Acta otorrinolaringol cir cabeza cuello [Internet]. 2022Jun.30 [cited 2024Nov.24];50(2):112-6. Available from: https://revista.acorl.org.co/index.php/acorl/article/view/625
Section
Trabajos Originales
Author Biography

Ana Paula Vázquez-Navarro ,

Residente 

References

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(1):95-102. doi: 10.1210/jc.2018-01674

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(5):225-

doi: 10.1159/000478927

Vargas-Uricoechea H, Meza-Cabrera I, Herrera-Chaparro J.Concordance between the TIRADS ultrasound criteria and the

BETHESDA cytology criteria on the nontoxic thyroid nodule.Thyroid Res. 2017;10:1. doi: 10.1186/s13044-017-0037-2

Zhuang Y, Li C, Hua Z, Chen K, Lin JL. A novel TIRADS of US classification. Biomed Eng Online. 2018;17(1):82. doi:

1186/s12938-018-0507-3

Skowronska A, Milczarek-Banach J, Wiechno W, Chudzinski W, Zach M, Mazurkiewicz M, et al. Accuracy of the

European Thyroid Imaging Reporting and Data System (EUTIRADS) in the valuation of thyroid nodule malignancy in

reference to the post-surgery histological results. Pol J Radiol.2018;83:e579-e586. doi: 10.5114/pjr.2018.81556

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

ATA Guidelines in the diagnostic efficiency of thyroid nodules. Endocrine. 2019;64(1):90-96. doi: 10.1007/s12020-

-01843-x

Wu XL, Du JR, Wang H, Jin CX, Sui GQ, Yang DY, et al. Comparison and preliminary discussion of the reasons for the

differences in diagnostic performance and unnecessary FNA biopsies between the ACR TIRADS and 2015 ATA guidelines.

Endocrine. 2019;65(1):121-131. doi: 10.1007/s12020-019-01886-0

Jin ZQ, Yu HZ, Mo CJ, Su RQ. Clinical Study of the Prediction of Malignancy in Thyroid Nodules: Modified

Score versus 2017 American College of Radiology’s Thyroid Imaging Reporting and Data System Ultrasound Lexicon.

Ultrasound Med Biol. 2019;45(7):1627-1637. doi: 10.1016/j.ultrasmedbio.2019.03.014

Trimboli P, Ngu R, Royer B, Giovanella L, Bigorgne C, Simo R, et al. A multicentre validation study for the EU-TIRADS

using histological diagnosis as a gold standard. Clin Endocrinol(Oxf). 2019;91(2):340-347. doi: 10.1111/cen.13997

Singaporewalla RM, Hwee J, Lang TU, Desai V. Clinicopathological Correlation of Thyroid Nodule Ultrasound and

Cytology Using the TIRADS and Bethesda Classifications. World J Surg. 2017;41(7):1807-1811. doi: 10.1007/s00268-

-3919-5

Mistry R, Hillyar C, Nibber A, Sooriyamoorthy T, Kumar N.Ultrasound Classification of Thyroid Nodules: A Systematic

Review. Cureus. 2020;12(3):e7239. doi: 10.7759/cureus.7239