ArticleEndocrine2024
Interobserver variability in thyroid ultrasound.
Article in Endocrine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07296575 (A Multicenter Study on Multimodal Diagnosis and Process Optimization of Thyroid Diseases Based on Ultrasonic Intelligent Agents), which is not on this map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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 on Multimodal Diagnosis and Process Optimization of Thyroid Diseases Based on Ultrasonic Intelligent Agents
Who cites it
21 citing papers in PubMed.
- AI-Assisted Papillary Thyroid Carcinoma Localization on Cervical Non-contrast CT: A Multicenter Validation and Two-Reader Pilot Study of a Standalone Executable nnU-Net Software.Journal of imaging informatics in medicine · 2026Article
- Ultrasound-based thyroid nodule segmentation with deep hybrid convolutional network.Medical physics · 2026Article
- Agreement, Calibration, and Exploratory Performance of AI-Based Ultrasound in Thyroid Nodule Assessment.Journal of clinical medicine · 2026Article
- Machine Learning for diagnosis of malignant thyroid nodules based on thyroid ultrasound: Systematic review and meta-analysis of studies with external datasets.European journal of radiology open · 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
- Ultrasonographic Evaluation of Pediatric Thyroid Nodules: Adult Risk Stratification Systems, 2021 K-TIRADS Revision, and Future Refinements.Korean journal of radiology · 2026Review
- Article
- Clinical validation of an artificial intelligence model for thyroid fine-needle aspiration biopsy indication: comparison with TI-RADS systems and human specialists in a Chilean public hospital.Frontiers in endocrinology · 2026Article
- Comparative Diagnostic Performance of Ultrasound-Based Risk Stratification Systems in Thyroid Nodule Evaluations by Otolaryngologists.Diagnostics (Basel, Switzerland) · 2026Article
- Experience-dependent integration of a commercial AI system with C-TIRADS for thyroid nodule assessment: a retrospective single-center study.Frontiers in endocrinology · 2026Article
- Article
- Quantitative Ultrasound Grayscale Analysis and Size of Benign and Malignant Solid Thyroid Nodules.Tomography (Ann Arbor, Mich.) · 2025Article
- [Research progress on deep learning-based computer-aided diagnosis of thyroid nodules using ultrasound imaging].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2025Review
- Thyroid Nodule Characterization: Which Thyroid Imaging Reporting and Data System (TIRADS) Is More Accurate? A Comparison Between Radiologists with Different Experiences and Artificial Intelligence Software.Diagnostics (Basel, Switzerland) · 2025Article
- Article
- Inconclusive cytology results of fine-needle aspiration for thyroid nodules: the importance of strict guideline implementation.Ultrasonography (Seoul, Korea) · 2025Article
- Article
- Molecular Landscape and Therapeutic Strategies in Pediatric Differentiated Thyroid Carcinoma.Endocrine reviews · 2025Review
- Assessing the feasibility of ChatGPT-4o and Claude 3-Opus in thyroid nodule classification based on ultrasound images.Endocrine · 2025Article
- Thyroid intelligent diagnosis based on THMSNet.Frontiers in endocrinology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeUltrasound evaluation of thyroid nodules is the preferred technique, but it is dependent on operator interpretation, leading to inter-observer variability. The current study aimed to determine the inter-physician consensus on nodular characteristics, risk categorization in the classification systems, and the need for fine needle aspiration puncture.
methodsFour endocrinologists from the same center blindly evaluated 100 ultrasound images of thyroid nodules from 100 different patients. The following ultrasound features were evaluated: composition, echogenicity, margins, calcifications, and microcalcifications. Nodules were also classified according to ATA, EU-TIRADS, K-TIRADS, and ACR-TIRADS classifications. Krippendorff's alpha test was used to assess interobserver agreement.
resultsThe interobserver agreement for ultrasound features was: Krippendorff's coefficient 0.80 (0.71-0.89) for composition, 0.59 (0.47-0.72) for echogenicity, 0.73 (0.57-0.88) for margins, 0.55 (0.40-0.69) for calcifications, and 0.50 (0.34-0.67) for microcalcifications. The concordance for the classification systems was 0.7 (0.61-0.80) for ATA, 0.63 (0.54-0.73) for EU-TIRADS, 0.64 (0.55-0.73) for K-TIRADS, and 0.68 (0.60-0.77) for K-TIRADS. The concordance in the indication of fine needle aspiration puncture (FNA) was 0.86 (0.71-1), 0.80 (0.71-0.88), 0.77 0.67-0.87), and 0.73 (0.64-0.83) for systems previously described respectively.
conclusionsInterobserver agreement was acceptable for the identification of nodules requiring cytologic study using various classification systems. However, limited concordance was observed in risk stratification and many ultrasonographic characteristics of the nodules.
Indexed as
Identifiers
38372907What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.