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2000
Volume 19, Issue 1
  • ISSN: 1573-4056
  • E-ISSN: 1875-6603

Abstract

Aim

Thyroid nodules are one of the most common clinical findings, with a prevalence of 68% in adults. Thyroid cancer is the fifth most common cancer in women.

Introduction

The purpose of this study is to evaluate the diagnostic efficacy of Thyroid Imaging Reporting and Data Systems proposed by the American College of Radiology (ACR-TIRADS) for the diagnosis of malignancy in surgically resected thyroid nodules.

Methods

In this retrospective study, patients who underwent thyroid nodules resected surgically from 2018-2020 were included. Before resection, an ultrasound was performed for TIRADS scores, and after resection histopathology, thyroid mass was obtained. The outcomes of the two systems were statistically compared.

Results

The mean age of the 146 included patients was 47.6 ± 14.08 years, of which 109 (74.7%) were female. Based on TIRADS, 47 patients (32.2%) were in TI-RADS TR3, 36 patients (24.7%) were in TIRADS TR2, 34 (23.3%) in TIRADS 4, 24 (16.4%) in TIRADS TR5 and 5 patients (3.4%) were in TIRADS TR1. The overall sensitivity was 79.9% when ACR-TIRADS TR4 was set as a diagnostic cutoff value. Considering the total of TIRADS TR4 and TIRADS TR5 as predictors of thyroid malignancy, the sensitivity was 74.5% and the specificity was 76.8%. The positive and negative predictive value was 60.3% and 76.8%.

Conclusion

ACR-TIRADS 4 and 5 can be considered good predictors of malignancy in thyroid nodules. More studies, including larger samples, are required to obtain a better conclusion.

This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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/content/journals/cmir/10.2174/1573405619666230322095526
2023-01-01
2025-06-26
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  • Article Type:
    Research Article
Keyword(s): ACR-TIRADS; Imaging; Malignancy; Nodules; Thyroid; Ultrasound
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