SynthesisFrontiers in oncology2022
Systematic Review and Meta-Analysis of American College of Radiology TI-RADS Inter-Reader Reliability for Risk Stratification of Thyroid Nodules.
Synthesis in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Node-RADS: a systematic review and meta-analysis of diagnostic performance, category-wise malignancy rates, and inter-observer reliability.European radiology · 2025Pooled it
- Computer-Aided Diagnosis in the Evaluation of Thyroid Nodules: A Study of Intra- And Inter-Rater Reliability and Agreement.Head & neck · 2026Article
- The Importance of the Taller-than-Wide Feature and the Dimensions of Focal Thyroid Lesions in Assessing the Risk of Malignancy.Diagnostics (Basel, Switzerland) · 2026Article
- Evaluation of large language models for TI-RADS category extraction from free-text thyroid US reports: a comparative study with human readers.Endocrine · 2026Article
- Comparative Analysis of ACR TI-RADS and K-TIRADS: Inter-System Agreement and Diagnostic Performance Using a Single Study Cohort.Journal of the Korean Society of Radiology · 2026Article
- Beyond Size: Integrating Ultrasonographic Features and FNAB Cytology to Predict Thyroid Malignancy-A Retrospective, Single-Center Study.Journal of clinical medicine · 2026Article
- Inter-reader agreement and additive benefit of SPECT or SPECT/CT modality with [EJNMMI reports · 2025Article
- A Multi-View Deep Learning Model for Thyroid Nodules Detection and Characterization in Ultrasound Imaging.Bioengineering (Basel, Switzerland) · 2024Article
- Article
- Deep learning to assist composition classification and thyroid solid nodule diagnosis: a multicenter diagnostic study.European radiology · 2024Article
- Article
- Real-Time Ultrasonography and the Evaluation of Static Images Yield Different Results in the Assessment of EU-TIRADS Categories.Journal of clinical medicine · 2023Article
- Concordance of the ACR TI-RADS Classification With Bethesda Scoring and Histopathology Risk Stratification of Thyroid Nodules.JAMA network open · 2023Article
- Article
- Evaluation of the efficacy of EU-TIRADS and ACR-TIRADS in risk stratification of pediatric patients with thyroid nodules.Frontiers in endocrinology · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: To investigate the inter-reader agreement of using the American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) for risk stratification of thyroid nodules. Methods: A literature search of Web of Science, PubMed, Cochrane Library, EMBASE, and Google Scholar was performed to identify eligible articles published from inception until October 31, 2021. We included studies reporting inter-reader agreement of different radiologists who applied ACR TI-RADS for the classification of thyroid nodules. Quality assessment of the included studies was performed with the Quality Assessment of Diagnostic Accuracy Studies-2 tool and Guidelines for Reporting Reliability and Agreement Studies. The summary estimates of the inter-reader agreement were pooled with the random-effects model, and multiple subgroup analyses and meta-regression were performed to investigate various clinical settings. Results: A total of 13 studies comprising 5,238 nodules were included in the current meta-analysis and systematic review. The pooled inter-reader agreement for overall ACR TI-RADS classification was moderate ( Conclusions: The ACR TI-RADS demonstrated moderate inter-reader agreement between radiologists for the overall classification. However, the US feature of margin only showed fair inter-reader reliability among different observers.
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