SynthesisEuropean thyroid journal2024
Head-to-head comparison of American, European, and Asian TIRADSs in thyroid nodule assessment: systematic review and meta-analysis.
Synthesis in European thyroid journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Sociodemographic and clinical predictors of malignancy in thyroid nodules: a systematic review and meta-analysis.Frontiers in endocrinology · 2026Pooled it
- Article
- Article
- Article
- Precision medicine in thyroid nodules: current strategies, challenges, and future directions.Hormones (Athens, Greece) · 2026Review
- Article
- Evaluation of large language models for TI-RADS category extraction from free-text thyroid US reports: a comparative study with human readers.Endocrine · 2026Article
- A vision-language foundation model improves preoperative diagnosis of follicular thyroid neoplasms using ultrasound images.NPJ precision oncology · 2026Article
- Real-world agreement in the ultrasound classification of subcapsular thyroid nodules: comparison with expert assessment.Thyroid research · 2026Article
- Beyond Size: Integrating Ultrasonographic Features and FNAB Cytology to Predict Thyroid Malignancy-A Retrospective, Single-Center Study.Journal of clinical medicine · 2026Article
- Comparative Diagnostic Performance of Ultrasound-Based Risk Stratification Systems in Thyroid Nodule Evaluations by Otolaryngologists.Diagnostics (Basel, Switzerland) · 2026Article
- Review
- Variability of ChatGPT in Interpreting the Lexicon of ACR-TIRADS, EU-TIRADS, and K-TIRADS.Diagnostics (Basel, Switzerland) · 2025Article
- Ultrasound Risk Stratification of Autonomously Functioning Thyroid Nodules: Cine Loop Video Sequences Versus Static Image Captures.Diagnostics (Basel, Switzerland) · 2025Article
- Inter-reader agreement and additive benefit of SPECT or SPECT/CT modality with [EJNMMI reports · 2025Article
- Article
- Analysis of FNAC indication in thyroid nodules assessed as low risk according to various TIRADSs.European thyroid journal · 2025Article
- CD66bMedicina (Kaunas, Lithuania) · 2025Article
- Article
- Performance of computer scientists in the assessment of thyroid nodules using TIRADS lexicons.Journal of endocrinological investigation · 2025Article
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Context: Ultrasound-based risk stratification systems (Thyroid Imaging Reporting and Data Systems (TIRADSs)) of thyroid nodules (TNs) have been implemented in clinical practice worldwide based on their high performance. However, it remains unexplored whether different TIRADSs perform uniformly across a range of TNs in routine practice. This issue is highly relevant today, given the ongoing international effort to establish a unified TIRADS (i.e. I-TIRADS), supported by the leading societies specializing in TNs. The study aimed to conduct a direct comparison among ACR-, EU-, and K-TIRADS in the distribution of TNs: (1) across the TIRADS categories, and (2) based on their estimated cancer risk. Methods: A search was conducted on PubMed and Embase until June 2023. Original studies that sequentially assessed TNs using TIRADSs, regardless of FNAC indication, were selected. General study characteristics and data on the distribution of TNs across TIRADSs were extracted. Results: Seven studies, reporting a total of 41,332 TNs, were included in the analysis. The prevalence of ACR-TIRADS 1-2 was significantly higher than that of EU-TIRADS 2 and K-TIRADS 2, with no significant difference observed among intermediate- and high-risk categories of TIRADSs. According to malignancy risk estimation, K-TIRADS often classified TNs as having more severe risk, ACR-TIRADS as having moderate risk, and EU-TIRADS classified TNs as having lower risk. Conclusion: ACR-, EU-, and K-TIRADS assess TNs similarly across their categories, with slight differences in low-risk classifications. Despite this, focusing on cancer risk estimation, the three TIRADSs assess TNs differently. These findings should be considered as a prerequisite for developing the I-TIRADS.
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