GuidelineEuropean radiology2026
ESR Essentials: thyroid imaging-practice recommendations by the European Society of Head and Neck Radiology.
Guideline in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Improved Preoperative Diagnosis of Medullary Thyroid Carcinoma Using Dual-Mode Ultrasound Radiomics.Cancers · 2026Article
- Assessment of malignant risk in thyroid nodules classified as category 4 and above against a background of Hashimoto's thyroiditis.Gland surgery · 2026Article
- State of the Art on Thyroid Cancer Biology and Oncology.Biomedicines · 2026Review
- Development and validation of a multimodal predictive model based on clinical, biochemical, and quantitative dual-energy CT parameters: for predicting the benignity and malignancy of thyroid nodules.Frontiers in endocrinology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Thyroid nodules are frequently encountered at imaging, yet most are benign and do not require intervention. The clinical challenge lies in distinguishing nodules that warrant further investigation from those that do not, to avoid unnecessary biopsies, anxiety, and overtreatment. Ultrasound (US) is the primary imaging modality for thyroid nodule evaluation, supported by structured risk stratification systems such as ACR TI-RADS and EU-TIRADS, which incorporate specific sonographic features and size thresholds to guide clinical decision-making. Nodules without high-risk features can be safely monitored or ignored, especially in asymptomatic patients. Conversely, suspicious characteristics (e.g. irregular margins, microcalcifications, or marked hypoechogenicity) should prompt further assessment, including fine-needle aspiration (FNA). Diffuse thyroid disorders, including Hashimoto's thyroiditis and Graves' disease, are best assessed using US and thyroid function tests. In thyroid cancer, a multidisciplinary team approach involving radiologists, endocrinologists, pathologists, and nuclear medicine specialists is essential for optimal patient care. To implement these recommendations, radiologists should adopt standardised US reporting systems, apply evidence-based criteria for further workup, and collaborate closely with referring clinicians. This approach ensures accurate diagnosis, reduces unnecessary procedures, and aligns radiological practice with current guidelines to support high-value, patient-centred care. KEY POINTS: Ultrasound (US) is the gold standard imaging modality for evaluating thyroid pathology. Implementation of the EU-TIRADS and ACR-TIRADS constitutes a critical part of the work-up of thyroid nodules and is essential for their effective management. Interdisciplinary discussion with all specialists concerned is the most effective way of ensuring that the best possible management strategy is implemented in thyroid cancers.
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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.