ReviewCancers2022
Risk Stratification of Thyroid Nodules: From Ultrasound Features to TIRADS.
Review in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed, 2 syntheses or guidelines pooled it, 52 citations in OpenAlex.
- Head-to-head comparison of American, European, and Asian TIRADSs in thyroid nodule assessment: systematic review and meta-analysis.European thyroid journal · 2024Pooled it
- The Application of Artificial Intelligence in Thyroid Nodules: A Systematic Review Based on Bibliometric Analysis.Endocrine, metabolic & immune disorders drug targets · 2024Pooled it
- Habitat imaging based on enhanced CT for predicting occult central lymph node metastasis in papillary thyroid carcinoma.European radiology · 2026Article
- Synergistic role of molecular imaging and genomics in thyroid cancer management: from diagnosis to personalized treatment.Journal of translational medicine · 2026Review
- Influencing factors and prediction model of ultrasound-based false-negative central lymph node metastasis in localized papillary thyroid carcinoma.Gland surgery · 2026Article
- Evolution of thyroid fine-needle aspiration biopsy performance over 15 years: implications for risk stratification in clinical practice.Archives of endocrinology and metabolism · 2026Article
- A Comparison of Detection Rates Between Ultrasound and Post-Therapeutic I-131 SPECT/CT for Cervical Lymph Node Metastasis in Papillary Thyroid Carcinoma.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 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
- Predictive value of a combined nomogram model integrating ultrasound and cytology for 2025 ATA risk stratification of lymph node negative papillary thyroid carcinoma.BMC medical imaging · 2026Article
- Ethnic Background as a Determinant of Thyroid Cancer Risk: A Decade-Long National Cohort Study Reveals Divergent Epidemics in Saudi Arabia.Saudi medical journal · 2026Article
- Implications of the ElaTION trial for ultrasound based management of thyroid nodules.Gland surgery · 2026Article
- Conventional ultrasound combined with contrast-enhanced ultrasound for differentiating benign and malignant thyroid nodules.Quantitative imaging in medicine and surgery · 2026Article
- [Ultrasound in secondary prevention of thyroid nodules-evidence, benefits, and limitations].HNO · 2026Review
- Retrospective analysis of thyroid functions and sonographic characteristics of the thyroid gland in a health check-up population in China during 2020-2024.Frontiers in public health · 2026Article
- Clinicopathological Significance of Ultrasound Risk Features and the Taller-Than-Wide Sign for Tumor Advancement in Differentiated Thyroid Cancer: A Single-Center Analysis.Cancer management and research · 2026Article
- Size-dependent heterogeneity in the associations of C-TIRADS ultrasound features with malignancy in thyroid nodules.Frontiers in endocrinology · 2026Article
- Advanced AI-Powered System for Comprehensive Thyroid Cancer Detection and Malignancy Risk Assessment.Life (Basel, Switzerland) · 2025Article
- Ultrasound Risk Stratification of Autonomously Functioning Thyroid Nodules: Cine Loop Video Sequences Versus Static Image Captures.Diagnostics (Basel, Switzerland) · 2025Article
- The predictive value of a combined nomogram model integrating ultrasound and fine-needle aspiration cytology for large-number cervical lymph node metastases in clinically node-negative papillary thyroid carcinoma: a propensity score matching analysis.Quantitative imaging in medicine and surgery · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Thyroid nodules are common in iodine deficient areas, in females, and in patients undergoing neck irradiation. High-resolution ultrasonography (US) is important for detecting and evaluating thyroid nodules. US is used to determine the size and features of thyroid nodules, as well as the presence of neck lymph node metastasis. It also facilitates guided fine-needle aspiration (US-FNA). The most consistent US malignancy features of thyroid nodules are spiculated margins, microcalcifications, a taller-than-wide shape, and marked hypoechogenicity. Increased nodular vascularization is not identified as a predictor of malignancy. Thyroid elastosonography (USE) is also used to characterize thyroid nodules. In fact, a low elasticity of nodules at USE has been related to a higher risk of malignancy. According to their US features, thyroid nodules can be stratified into three categories: low-, intermediate-, and high-risk nodules. US-FNA is suggested for intermediate and high-risk nodules.
Indexed as
Identifiers
What 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.