ArticleAsian Pacific journal of cancer prevention : APJCP2019
Interrater Reliability of Various Thyroid Imaging Reporting and Data System (TIRADS) Classifications for Differentiating Benign from Malignant Thyroid Nodules
Article in Asian Pacific journal of cancer prevention : APJCP, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 26 citations in OpenAlex.
- Diagnostic efficiency among Eu-/C-/ACR-TIRADS and S-Detect for thyroid nodules: a systematic review and network meta-analysis.Frontiers in endocrinology · 2023Pooled it
- Systematic Review and Meta-Analysis of American College of Radiology TI-RADS Inter-Reader Reliability for Risk Stratification of Thyroid Nodules.Frontiers in oncology · 2022Pooled it
- Accuracy of thyroid imaging reporting and data system category 4 or 5 for diagnosing malignancy: a systematic review and meta-analysis.European radiology · 2020Pooled it
- Accelerating the Radiology Learning Curve: How the Parameter-Based I-TIRADS Lexicon Enhances Interpretive Reliability and Learning Curves Across Resident Experience Levels-A Dynamic Video-Based Study.Diagnostics (Basel, Switzerland) · 2026Article
- Real-Time Ultrasonography and the Evaluation of Static Images Yield Different Results in the Assessment of EU-TIRADS Categories.Journal of clinical medicine · 2023Article
- Review
- Review
- Summary of Meta-analyses of Studies Considering Lesion Size Cut-off Thresholds for The Assessment of Eligibility for FNAB and Sonoelastography and Inter- and Intra-observer Agreement in Estimating the Malignant Potential of Focal Lesions of The Thyroid Gland.Journal of ultrasonography · 2022Article
- Thyroid Nodule Size as a Predictor of Malignancy in Follicular and Hurthle Neoplasms.Asian Pacific journal of cancer prevention : APJCP · 2021Article
- Prediction of thyroid nodule histopathology by expert ultrasound evaluation.Endocrine connections · 2021Article
- Is patient age associated with risk of malignancy in a ≥4 cm cytologically benign thyroid nodule?American journal of surgery · 2021Article
- Article
- Histopathological Verification of the Diagnostic Performance of the EU-TIRADS Classification of Thyroid Nodules-Results of a Multicenter Study Performed in a Previously Iodine-Deficient Region.Journal of clinical medicine · 2019Article
- Hashimoto's thyroiditis elicits decreased diagnostic efficacy of thyroid nodule ultrasound-guided fine needle aspiration.International journal of clinical and experimental pathology · 2019Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Thyroid ultrasound(US) is used as the first diagnostic tool to assess the management of disease but is operator dependent. There have been few reports evaluating interrater variability in US assessment. Therefore, we evaluated interrater reliability in US assessment of thyroid nodules and estimated its diagnostic accuracy for various TIRADS systems. Methods: This retrospective study included 24 malignant nodules and 84 benign nodules from January 2015 to October 2017. Two blinded observers independently reviewed stored US images by using TIRADS. All analyses followed guidelines proposed by ACR-TR, Siriraj-TR and EU-TR systems. Interrater reliability was calculated using Cohen’s Kappa statistics. Diagnostic accuracy were also calculated. Results: Interobserver agreement showed substantial agreement for composition (K=0.616); echogenicity and echogenic foci showed fair agreement (K=0.327 and 0.288, respectively); margin showed slight agreement (K=0.143). Interrater reliability for the final assessment; moderate agreement for ACR-TIRADS system (K=0.500); fair agreement for EU-TIRADS system (K=0.209) and slight agreement (K=0.114) for Siriraj-TIRADS system. The diagnostic performance from the two observers; ACRTIRADS system; sensitivities were 75% and 79.2%, specificities were 58.3% and 56%, positive predictive value (PPV) were 34% and 33.9% and negative predictive value (NPV) were 89.1% and 90.4%. For the Siriraj-TIRADS system, sensitivities were 41.7% and 25%, specificities were 84.5% and 89.3%, positive predictive value (PPV) were 43.5% and 40% and negative predictive value (NPV) were 83.5% and 80.6%. For the EU-TIRADS system, sensitivities were 45.8% and 66.7%, specificities were 79.8% and 72.6%, positive predictive value (PPV) were 39.3% and 41% and negative predictive value (NPV) were 83.8% and 88.4%. Conclusion: The ACR-TIRADS had highest interobserver agreement, a trend to have highest sensitivity and negative predictive value for diagnosis of malignant thyroid nodules. Siriraj-TIRADS had higher specificity and accuracy, but lower interobserver agreement.
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