Literature DB >> 33718254

Evaluation of the Diagnostic Performance of EU-TIRADS in Discriminating Benign from Malignant Thyroid Nodules: A Prospective Study in One Referral Center.

Roussanka D Kovatcheva1, Alexander D Shinkov1, Inna D Dimitrova1, Ralitsa B Ivanova1, Kalin N Vidinov1, Radina S Ivanova1.   

Abstract

BACKGROUND: Several thyroid societies have endorsed ultrasound (US) malignancy risk stratification systems for thyroid nodules and the recently released European Thyroid Imaging Reporting and Data System (EU-TIRADS) needs large prospective studies for validation.
OBJECTIVE: The purpose of our study was to evaluate the performance of EU-TIRADS in identifying thyroid nodules for fine-needle aspiration biopsy (FNAB) and its ability to reduce the number of unnecessary biopsies.
METHODS: This was a single-center prospective study. From August 2017 to September 2018, 783 consecutive patients with 1,000 thyroid nodules underwent US examination and US-guided FNAB. A total of 741 patients (median age 50 years; range, 15-87 years; 649 females, 92 males) with 942 nodules (median largest diameter 14 mm; range, 4-96 mm) met the following inclusion criteria: (1) nodules with benign or malignant cytology - categories II and VI of the Bethesda System for Reporting Thyroid Cytopathology (BSRTC); (2) nodules with non-diagnostic and indeterminate cytology (BSRTC I, BSRTC III, and BSRTC IV), or suspicious for malignancy (BSRTC V), if postoperative histology was present; (3) nodules classified as BSRTC I and BSRTC III with a repeat FNAB and conclusive cytology.
RESULTS: Of 942 nodules, 839 (89.1%) were benign and 103 (10.9%) were malignant. Nodules were classified as follows: EU-TIRADS 2 - 4.8%, EU-TIRADS 3 - 37.4%, EU-TIRADS 4 - 25.2%, and EU-TIRADS 5 - 32.6%. The malignancy rate in categories 2 to 5 was 0, 0, 3.8, and 30.6%, respectively. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of EU-TIRADS with a cut-off set at category 5 were 91.3, 74.6, 30.6, 98.6, and 76.4%, respectively. Diagnostic performance other than sensitivity and NPV was superior in nodules ≥10 mm. FNAB number would be reduced by 53.4% if FNAB criteria were strictly applied. When the indication for FNAB was applied as test positivity, the estimated sensitivity, specificity, PPV, and NPV of EU-TIRADS were 69.9, 56.3, 16.4, and 93.8%, respectively.
CONCLUSION: EU-TIRADS provides effective malignancy risk stratification that can guide the selection of thyroid nodules for biopsy. The application of the guidelines criteria for FNAB in the clinical practice might reduce significantly the number of unnecessary FNAB.
Copyright © 2020 by European Thyroid Association Published by S. Karger AG, Basel.

Entities:  

Keywords:  EU-TIRADS; Malignancy risk; Thyroid nodules; Ultrasound

Year:  2020        PMID: 33718254      PMCID: PMC7923902          DOI: 10.1159/000507575

Source DB:  PubMed          Journal:  Eur Thyroid J        ISSN: 2235-0640


  36 in total

1.  Characterization of thyroid nodules using the proposed thyroid imaging reporting and data system (TI-RADS).

Authors:  Shih-Ping Cheng; Jie-Jen Lee; Jiun-Lu Lin; Shih-Ming Chuang; Ming-Nan Chien; Chien-Liang Liu
Journal:  Head Neck       Date:  2012-04-19       Impact factor: 3.147

2.  Diagnostic Performance Evaluation of a Computer-Assisted Imaging Analysis System for Ultrasound Risk Stratification of Thyroid Nodules.

Authors:  Jordi L Reverter; Federico Vázquez; Manuel Puig-Domingo
Journal:  AJR Am J Roentgenol       Date:  2019-04-11       Impact factor: 3.959

3.  ACR Thyroid Imaging, Reporting and Data System (TI-RADS): White Paper of the ACR TI-RADS Committee.

Authors:  Franklin N Tessler; William D Middleton; Edward G Grant; Jenny K Hoang; Lincoln L Berland; Sharlene A Teefey; John J Cronan; Michael D Beland; Terry S Desser; Mary C Frates; Lynwood W Hammers; Ulrike M Hamper; Jill E Langer; Carl C Reading; Leslie M Scoutt; A Thomas Stavros
Journal:  J Am Coll Radiol       Date:  2017-04-02       Impact factor: 5.532

4.  Application of the predictive value model in the analysis of test effectiveness.

Authors:  R S Galen
Journal:  Clin Lab Med       Date:  1982-12       Impact factor: 1.935

5.  Thyroid imaging reporting and data system for US features of nodules: a step in establishing better stratification of cancer risk.

Authors:  Jin Young Kwak; Kyung Hwa Han; Jung Hyun Yoon; Hee Jung Moon; Eun Ju Son; So Hee Park; Hyun Kyung Jung; Ji Soo Choi; Bo Mi Kim; Eun-Kyung Kim
Journal:  Radiology       Date:  2011-07-19       Impact factor: 11.105

6.  Reducing the Number of Unnecessary Thyroid Biopsies While Improving Diagnostic Accuracy: Toward the "Right" TIRADS.

Authors:  Giorgio Grani; Livia Lamartina; Valeria Ascoli; Daniela Bosco; Marco Biffoni; Laura Giacomelli; Marianna Maranghi; Rosa Falcone; Valeria Ramundo; Vito Cantisani; Sebastiano Filetti; Cosimo Durante
Journal:  J Clin Endocrinol Metab       Date:  2019-01-01       Impact factor: 5.958

7.  Malignancy Risk Stratification of Thyroid Nodules: Comparison between the Thyroid Imaging Reporting and Data System and the 2014 American Thyroid Association Management Guidelines.

Authors:  Jung Hyun Yoon; Hye Sun Lee; Eun-Kyung Kim; Hee Jung Moon; Jin Young Kwak
Journal:  Radiology       Date:  2015-09-08       Impact factor: 11.105

Review 8.  The accuracy of thyroid nodule ultrasound to predict thyroid cancer: systematic review and meta-analysis.

Authors:  Juan P Brito; Michael R Gionfriddo; Alaa Al Nofal; Kasey R Boehmer; Aaron L Leppin; Carl Reading; Matthew Callstrom; Tarig A Elraiyah; Larry J Prokop; Marius N Stan; M Hassan Murad; John C Morris; Victor M Montori
Journal:  J Clin Endocrinol Metab       Date:  2013-11-25       Impact factor: 5.958

9.  Malignancy risk stratification of thyroid nodules: comparisons of four ultrasound Thyroid Imaging Reporting and Data Systems in surgically resected nodules.

Authors:  Ying Wang; Kai-Rong Lei; Ya-Ping He; Xiao-Long Li; Wei-Wei Ren; Chong-Ke Zhao; Xiao-Wan Bo; Dan Wang; Cheng-Yu Sun; Hui-Xiong Xu
Journal:  Sci Rep       Date:  2017-09-14       Impact factor: 4.379

Review 10.  Ultrasonography Diagnosis and Imaging-Based Management of Thyroid Nodules: Revised Korean Society of Thyroid Radiology Consensus Statement and Recommendations.

Authors:  Jung Hee Shin; Jung Hwan Baek; Jin Chung; Eun Joo Ha; Ji-Hoon Kim; Young Hen Lee; Hyun Kyung Lim; Won-Jin Moon; Dong Gyu Na; Jeong Seon Park; Yoon Jung Choi; Soo Yeon Hahn; Se Jeong Jeon; So Lyung Jung; Dong Wook Kim; Eun-Kyung Kim; Jin Young Kwak; Chang Yoon Lee; Hui Joong Lee; Jeong Hyun Lee; Joon Hyung Lee; Kwang Hui Lee; Sun-Won Park; Jin Young Sung
Journal:  Korean J Radiol       Date:  2016-04-14       Impact factor: 3.500

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  2 in total

1.  Independent risk factors and feasibility of ultrasound diagnosis of ultrasound-guided non-cytologically diagnostic thyroid nodules.

Authors:  Cheng Jiang; Jiandong Chang; Xiaoyan Chen; Hao Zhang; Meina Xu
Journal:  Gland Surg       Date:  2021-09

2.  Summary of Meta-analyses of Studies Involving TIRADS Classifications (EU-TIRADS, ACR-TIRADS, and K-TIRADS) in Evaluating the Malignant Potential of Focal Lesions of The Thyroid Gland.

Authors:  Katarzyna Dobruch-Sobczak; Zbigniew Adamczewski; Marek Dedecjus; Andrzej Lewiński; Bartosz Migda; Marek Ruchała; Anna Skowrońska-Szcześniak; Ewelina Szczepanek-Parulska; Klaudia Zajkowska; Agnieszka Żyłka
Journal:  J Ultrason       Date:  2022-04-27
  2 in total

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