ArticleThe Journal of clinical endocrinology and metabolism2022
Clinician Agreement on the Classification of Thyroid Nodules Ultrasound Features: A Survey of 2 Endocrine Societies.
Article in The Journal of clinical endocrinology and metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05982821 (A Multicenter Study of Artificial Intelligence-assisted Contrast-enhanced Ultrasound Diagnosis of Thyroid Nodules), which is not on this map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
A Multicenter Study of Artificial Intelligence-assisted Contrast-enhanced Ultrasound Diagnosis of Thyroid Nodules
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Implementation strategies to support ultrasound thyroid nodule risk stratification: A systematic review.Clinical endocrinology · 2023Pooled it
- Implications of the ElaTION trial for ultrasound based management of thyroid nodules.Gland surgery · 2026Article
- Comparative Diagnostic Performance of Ultrasound-Based Risk Stratification Systems in Thyroid Nodule Evaluations by Otolaryngologists.Diagnostics (Basel, Switzerland) · 2026Article
- Preliminary analysis of AI-based thyroid nodule evaluation in a non-subspecialist endocrinology setting.Endocrine · 2025Article
- Rates of diagnostic and therapeutic procedures in a cohort of patients undergoing first endocrine consultation for thyroid nodular disease.Endocrine · 2024Observational
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
contextThyroid nodule risk stratification allows clinicians to standardize the evaluation of thyroid cancer risk according to ultrasound features.
objectiveTo evaluate interrater agreement among clinicians assessing thyroid nodules ultrasound features and thyroid cancer risk categories. DESIGN, SETTING, AND
participantsWe surveyed Endocrine Society and Latin American Thyroid Society members to assess their interpretation of composition, echogenicity, shape, margins, and presence of echogenic foci of 10 thyroid nodule cases. The risk category for thyroid cancer was calculated following the American College of Radiology-Thyroid Imaging Reporting & Data System (ACR-TIRADS) framework from individual responses. MAIN OUTCOMES AND MEASURES: We used descriptive statistics and Gwet's agreement coefficient (AC1) to assess the primary outcome of interrater agreement for ACR-TIRADS risk category. As secondary outcomes, the interrater agreement for individual features and a subgroup analysis of interrater agreement for the ACR-TIRADS category were performed (ultrasound reporting system, type of practice, and number of monthly appraisals).
resultsA total of 144 participants were included, mostly endocrinologists. There was moderate level of agreement for the absence of echogenic foci (AC1 0.53, 95% CI 0.24-0.81) and composition (AC1 0.54, 95% CI 0.36-0.71). The agreement for margins (AC1 0.24, 95% CI 0.15-0.33), echogenicity (AC1 0.34, 95% CI 0.22-0.46), and shape assessment (AC1 0.42, 95% CI 0.13-0.70) was lower. The overall agreement for ACR-TIRADS assessment was AC1 0.29, (95% CI 0.13-0.45). The AC1 of ACR-TIRADS among subgroups was similar.
conclusionsThis study found high variation of judgments about ACR-TIRADS risk category and individual features, which poses a potential challenge for the widescale implementation of thyroid nodule risk stratification.
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