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Current Medical Imaging

Editor-in-Chief

ISSN (Print): 1573-4056
ISSN (Online): 1875-6603

Research Article

Evaluating Diagnostic Efficiency of Thyroid Imaging Reporting and Data Systems proposed by the American College of Radiology in Surgically Resected Thyroid Nodules

Author(s): Izadmehr Ahmadinejad, Kimia Ghanbari Mardasi, Yasmina Ahmadinejad, Mohammad Saeed Kahrizi, Ali Soltanian, Pooriya Ghanbari Merdasi and Mojtaba Ahmadinejad*

Volume 20, 2024

Published on: 02 May, 2023

Article ID: e220323214856 Pages: 5

DOI: 10.2174/1573405619666230322095526

open_access

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.

Keywords: ACR-TIRADS, Thyroid, Imaging, Malignancy, Nodules, Ultrasound.


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