The validity and reproducibility of the thyroid imaging reporting and data system (TI-RADS) in categorization of thyroid nodules: Multicentre prospective study.


Journal

European journal of radiology
ISSN: 1872-7727
Titre abrégé: Eur J Radiol
Pays: Ireland
ID NLM: 8106411

Informations de publication

Date de publication:
Aug 2019
Historique:
received: 07 02 2019
revised: 04 06 2019
accepted: 16 06 2019
entrez: 17 7 2019
pubmed: 17 7 2019
medline: 26 11 2019
Statut: ppublish

Résumé

To assess diagnostic validity and reproducibility of Thyroid Imaging Reporting and Data System (TI-RADS) for interpretation of thyroid nodules by thyroid ultrasonography (US). A prospective multicentre study initially included 557 patients with clinically suspected thyroid nodules. After exclusion, a final cohort of 380 patients with 948 thyroid nodules detected by US were enrolled. Based on American College of Radiology (ACR) TI-RADS, three radiologists analysed all US examinations independently and assigned a TI-RADS category to each thyroid nodule. The final diagnosis was based on cytology which was used as reference standard for calculating diagnostic performance of TI-RADS for predicting malignant thyroid nodules. The Fleiss and weighted kappa (κ) statistics were applied to assess inter-observer agreement of morphological features and TI-RADS scoring results for thyroid nodules. Additionally, we made a simple screening among referring clinicians to assess the clinical response to application of TI-RADS. A total of 948 thyroid nodules were evaluated; 136 (14.3%) were malignant, and 812 (85.7%) were benign. The papillary carcinoma was the most common malignant thyroid nodules (81.6%). The best cut-off value for predicting malignant thyroid nodules was > TR3. On a lesion-based analysis, the TI-RADS had a sensitivity, specificity, and an accuracy of 98.3%, 90.9%, and 92.1%, respectively when regarding those thyroid nodules classified as > TR3 for predicting malignancy. The inter-observer agreement of the TI-RADS category was good (κ = 0.636). Ninety percent of referring clinicians accept TI-RADS. TI-RADS improves diagnostic performance of US for predicting malignant thyroid nodules with high validity and high reproducibility.

Identifiants

pubmed: 31307646
pii: S0720-048X(19)30219-0
doi: 10.1016/j.ejrad.2019.06.015
pii:
doi:

Types de publication

Journal Article Multicenter Study Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

184-192

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

Auteurs

Mohammad Abd Alkhalik Basha (MAA)

Department of Radio-diagnosis, Zagazig University, Zagazig, Egypt. Electronic address: Mohammad_basha76@yahoo.com.

Ahmad Abdullah Alnaggar (AA)

Department of Radio-diagnosis, Zagazig University, Zagazig, Egypt. Electronic address: naggar2002us@yahoo.com.

Rania Refaat (R)

Department of Radio-diagnosis, Ain Shams University, Cairo, Egypt. Electronic address: raniarefaat_1977@hotmail.com.

Ahmed Mohamed El-Maghraby (AM)

Department of Radio-diagnosis, Zagazig University, Zagazig, Egypt. Electronic address: dr_elmaghraby80@yahoo.com.

Mona Mohammed Refaat (MM)

Department of Radio-diagnosis, Zagazig University, Zagazig, Egypt. Electronic address: refaatmona96@gmail.com.

Marwa E Abd Elhamed (ME)

Department of Radio-diagnosis, Zagazig University, Zagazig, Egypt. Electronic address: dr.meroelsaed34@gmail.com.

Ahmed A El-Hamid M Abdalla (AAEM)

Department of Radio-diagnosis, Zagazig University, Zagazig, Egypt. Electronic address: ahmedzagazig@yahoo.com.

Sameh Abdelaziz Aly (SA)

Department of Radio-diagnosis, Benha University, Benha, Egypt. Electronic address: drsamehaly75@gmail.com.

Amr Shaaban Hanafy (AS)

Department of Internal medicine, Zagazig University, Zagazig, Egypt. Electronic address: dr_amr_hanafy@yahoo.com.

Abd El Motaleb Mohamed (AEM)

Department of Clinical Oncology, Zagazig University, Zagazig, Egypt. Electronic address: Abdelmotalabmohamed@yahoo.com.

Amira Hamed Mohamed Afifi (AHM)

Department of Clinical Pathology, Zagazig University, Zagazig, Egypt. Electronic address: Amira_hamed79@hotmail.com.

Ola Harb (O)

Department of Pathology, Zagazig University, Zagazig, Egypt. Electronic address: olaharb2015@gmail.com.

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