The validity and reproducibility of the thyroid imaging reporting and data system (TI-RADS) in categorization of thyroid nodules: Multicentre prospective study. Issue 117 (August 2019)

• Record Type: Journal Article
• Authors: Basha, Mohammad Abd Alkhalik; Alnaggar, Ahmad Abdullah; Refaat, Rania; El-Maghraby, Ahmed Mohamed; Refaat, Mona Mohammed; Abd Elhamed, Marwa E.; Abdalla, Ahmed A. El-Hamid M.; Aly, Sameh Abdelaziz; Hanafy, Amr Shaaban; Mohamed, Abd El Motaleb; Afifi, Amira Hamed Mohamed; Harb, Ola
• Is Part Of: European journal of radiology. Issue 117(2019)
• Page Start: 184
• Page End: 192
• Publication Date: 2019-08
• Subjects: Thyroid nodules -- Thyroid imaging reporting and data system -- Ultrasonography; Medical radiology -- Periodicals; Radiology -- Periodicals; Radiologie médicale -- Périodiques; Medical radiology; Periodicals; 616.075705
• DOI: 10.1016/j.ejrad.2019.06.015
• Languages: English
• ISSNs: 0720-048X

Abstract

Highlights: ACR TI-RADS predicts malignant thyroid nodules with high diagnostic validity. Combined TR4/TR5 increases sensitivity of ACR TI-RADS for malignant thyroid nodules. The referring clinicians accept ACR TI-RADS as a valuable reporting system. Abstract: Purpose: To assess diagnostic validity and reproducibility of Thyroid Imaging Reporting and Data System (TI-RADS) for interpretation of thyroid nodules by thyroid ultrasonography (US). Method: 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. Results: 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. Conclusions: TI-RADS improves diagnostic performance of US for predicting malignant thyroid nodules with high validity and high reproducibility.