ReviewJournal of medical ultrasound
Radiofrequency Ablation of Benign Thyroid Nodules: Recommendations from the Asian Conference on Tumor Ablation Task Force - Secondary Publication.
Review in Journal of medical ultrasound. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Ablative Technologies for Thyroid Nodules: A Health Technology Assessment.Ontario health technology assessment series · 2026Pooled it
- Prediction model for recurrent laryngeal nerve injury in microwave ablation of thyroid nodules.Biomedical engineering online · 2026Article
- Machine learning-based ultrasound radiomics for prediction of 6-month local thermal ablation response in benign thyroid nodules: a multicenter study.Frontiers in endocrinology · 2026Article
- Predictors of early complete nodule shrinkage in symptomatic benign thyroid nodules treated with radiofrequency ablation with or without sclerotherapy: a retrospective study.European radiology · 2025Article
- The clinical utility of thermal ablation procedures in thyroid nodules: Latin American Thyroid Society (LATS) surgical affairs committee expert opinion. Part 2.Archives of endocrinology and metabolism · 2025Review
- Current guidelines for the application of radiofrequency ablation for thyroid nodules: a narrative review.Gland surgery · 2024Review
- Model-Optimizing Radiofrequency Parameters of 3D Finite Element Analysis for Ablation of Benign Thyroid Nodules.Bioengineering (Basel, Switzerland) · 2023Article
- Ultrasound-Guided Radiofrequency Ablation versus Thyroidectomy for the Treatment of Benign Thyroid Nodules in Elderly Patients: A Propensity-Matched Cohort Study.AJNR. American journal of neuroradiology · 2023Article
- Clinical Experience of Percutaneous Radiofrequency Ablation Using an arfa RF ABLATION SYSTEMInterventional radiology (Higashimatsuyama-shi (Japan) · 2022Article
- Long-term follow-up of the radiofrequency ablation of benign thyroid nodules: the value of additional treatment.Ultrasonography (Seoul, Korea) · 2022Article
- The Importance of Nodule Size in the Management of Ruptured Thyroid Nodule After Radiofrequency Ablation: A Retrospective Study and Literature Review.Frontiers in endocrinology · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 13 institutions in 6 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Radiofrequency ablation (RFA) is a thermal ablation technique widely used for the management of benign thyroid nodules. To date, five academic societies in various countries have reported clinical practice guidelines, opinion statements, or recommendations regarding the use of thyroid RFA. However, despite some similarities, there are also differences among the guidelines, and a consensus is required regarding safe and effective treatment in Asian countries. Therefore, a task force was organized by the guideline committee of the Asian Conference on Tumor Ablation with the goal of devising recommendations for the clinical use of thyroid RFA. The recommendations in this article are based on a comprehensive analysis of the current literature and the consensus opinion of the task force members.
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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.