Literature DB >> 29641731

Reliability of Thyroid Imaging Reporting and Data System (TI-RADS), and ultrasonographic classification of the American Thyroid Association (ATA) in differentiating benign from malignant thyroid nodules.

Bruno Mussoi de Macedo1, Rogério F Izquierdo1, Lenara Golbert1, Erika L Souza Meyer1.   

Abstract

OBJECTIVE: Ultrasonography (US) is the best diagnostic tool for initial assessment of thyroid nodule. Recently, data reporting systems for thyroid lesions, such as the Thyroid Imaging Reporting and Data System (TI-RADS) and American Thyroid Association (ATA), which stratifies the risk for malignancy, have demonstrated good performance in differentiating malignant thyroid nodules. The purpose of this study is to determine the reliability of both data reporting systems in predicting thyroid malignancy in a tertiary care hospital.
MATERIALS AND METHODS: We evaluated 195 thyroid nodules using modified TI-RADS and ATA risk stratification. The results were compared to the cyto-pathology analysis. Histopathological results were available for 45 cases after surgery, which is considered the golden standard for diagnosis of thyroid cancer.
RESULTS: When compared with cytological results, sensitivity, specificity, negative predictive value (NPV), and accuracy were 100, 61.1, 100, and 63%, respectively, for TI-RADS; and 100, 75, 100, and 76%, respectively, for ATA. When compared with histopathological results, sensitivity, specificity, NPV, and accuracy were 90, 51.4, 94.7, and 60% respectively, for TI-RADS; and 100, 60, 100, and 68%, respectively, for ATA. All patients with malignant nodules were classified in the categories 4 or 5 of TI-RADS and in the intermediate or high suspicion risk according to the ATA system.
CONCLUSION: Both TI-RADS and the ATA guidelines have high sensitivity and NPV for the diagnosis of thyroid carcinoma. These systems are feasible for clinical application, allowing to better select patients to undergo fine-needle aspiration biopsies.

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Year:  2018        PMID: 29641731     DOI: 10.20945/2359-3997000000018

Source DB:  PubMed          Journal:  Arch Endocrinol Metab        ISSN: 2359-3997            Impact factor:   2.309


  5 in total

1.  A Multidisciplinary Head-to-Head Comparison of American College of Radiology Thyroid Imaging and Reporting Data System and American Thyroid Association Ultrasound Risk Stratification Systems.

Authors:  Bernice L Huang; Susana A Ebner; Jasnit S Makkar; Stuart Bentley-Hibbert; Robert J McConnell; James A Lee; Elizabeth M Hecht; Jennifer H Kuo
Journal:  Oncologist       Date:  2019-11-19

2.  Assessment of diagnostic capacity and decision-making based on the 2015 American Thyroid Association ultrasound classification system.

Authors:  Luis-Mauricio Hurtado-Lopez; Alfredo Carrillo-Muñoz; Felipe-Rafael Zaldivar-Ramirez; Erich Otto Paul Basurto-Kuba; Blanca-Estela Monroy-Lozano
Journal:  World J Methodol       Date:  2022-05-20

3.  Incorporation of a Machine Learning Algorithm With Object Detection Within the Thyroid Imaging Reporting and Data System Improves the Diagnosis of Genetic Risk.

Authors:  Shuo Wang; Jiajun Xu; Aylin Tahmasebi; Kelly Daniels; Ji-Bin Liu; Joseph Curry; Elizabeth Cottrill; Andrej Lyshchik; John R Eisenbrey
Journal:  Front Oncol       Date:  2020-11-12       Impact factor: 6.244

4.  The Added Value of Operator's Judgement in Thyroid Nodule Ultrasound Classification Arising From Histologically Based Comparison of Different Risk Stratification Systems.

Authors:  Bruno Madeo; Giulia Brigante; Anna Ansaloni; Erica Taliani; Shaniko Kaleci; Maria Laura Monzani; Manuela Simoni; Vincenzo Rochira
Journal:  Front Endocrinol (Lausanne)       Date:  2020-07-07       Impact factor: 5.555

5.  Is Thyroid Imaging Reporting and Data System Useful as an Adult Ultrasonographic Malignancy Risk Stratification Method ın Pediatric Thyroid Nodules?

Authors:  Yasemin Durum Polat; Veli Süha Öztürk; Nimet Ersoz; Ahmet Anık; Can Zafer Karaman
Journal:  J Med Ultrasound       Date:  2019-07-01
  5 in total

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