Watkins, L., O'Neill, G., Young, D. and McArthur, C. (2021) Comparison of British Thyroid Association, American College of Radiology TIRADS and artificial intelligence TIRADS with histological correlation: diagnostic performance for predicting thyroid malignancy and unnecessary fine needle aspiration rate. British Journal of Radiology, 94(1123), 20201444. (doi: 10.1259/bjr.20201444) (PMID:33989038)
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Abstract
Objectives: To compare diagnostic performance of British Thyroid Association (BTA), American College of Radiology Thyroid Imaging Reporting and Data System (ACR-TIRADS) and Artificial Intelligence TIRADS (AI-TIRADS) for thyroid nodule malignancy. To determine comparative unnecessary FNA rates. Methods: 218 thyroid nodules with definitive histology obtained during 2017 were included. Ultrasound (US) images were reviewed retrospectively in consensus by two subspecialist radiologists, blinded to histopathology, and nodules assigned a BTA, ACR-TIRADS and AI-TIRADS grade. Nodule laterality and size were recorded to allow accurate histopathological correlation and determine which nodules met criteria for fine needle aspiration (FNA). Results: 77 (35.3%) nodules were malignant. Deeming US Grade 4–5 as test-positive and 1–2 as test-negative, sensitivity and specificity for BTA was 98.28 and 42.55%, for ACR-TIRADS: 95.24 and 40.57% and for AI-TIRADS: 93.44 and 45.71%. FNA was indicated in 101 (71.6%), 67 (47.5%) and 65 (46.1%) benign nodules utilizing BTA, ACR-TIRADS and AI-TIRADS respectively. The unnecessary FNA rate was significantly higher with BTA (46.3%) compared to ACR-TIRADS (30.7%) and AI-TIRADS (29.8%) p < 0.001. Conclusion: BTA, ACR-TIRADS and AI-TIRADS had similar diagnostic performance for predicting thyroid nodule malignancy with sensitivity >93% for all systems when considering US Grade 4–5 as malignant and Grade 1–2 as benign. ACR-TIRADS and AI-TIRADS both had a significantly lower rate of recommended FNA in benign nodules compared to BTA.
Item Type: | Articles |
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Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | McArthur, Dr Claire |
Authors: | Watkins, L., O'Neill, G., Young, D., and McArthur, C. |
College/School: | College of Medical Veterinary and Life Sciences > School of Medicine, Dentistry & Nursing |
Journal Name: | British Journal of Radiology |
Publisher: | British Institute of Radiology |
ISSN: | 0007-1285 |
ISSN (Online): | 1748-880X |
Published Online: | 14 May 2021 |
Copyright Holders: | Copyright © 2021 The Authors |
First Published: | First published in British Journal of Radiology 94(1123): 20201444 |
Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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