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Radiofrequency ablation for thyroid nodules (RATED study) - analysis of a learning curve and predictors of success

  • Rijnstate
  • University of Twente
  • Meander Medical Center
  • Ziekenhuisgroep Twente

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Context: Radiofrequency ablation (RFA) is used as treatment for symptomatic thyroid nodules. Factors influencing the volume reduction ratio (VRR) at 12 months are not yet fully understood. Objective: The primary objective of this work was evaluating the VRR at 12 months after RFA. Secondary objectives were the assessment of a learning curve and factors influencing the VRR at 12 months. Methods: A retrospective observational cohort study was conducted at 3 Dutch referral hospitals of patients who underwent RFA for symptomatic thyroid nodules with available ultrasound (US) follow-up. Main outcome measures included US-based VRR at 12 months and chronologically numbered RFA procedures. All patients’ baseline, treatment, and early follow-up factors were assessed for correlation with VRR at 12 months. Results: A total of 337 patients with 356 nodules were included in the learning curve analysis. VRR at 12 months increased for the first 20 treatments per center and stabilized thereafter, indicating a plateau phase after a learning curve. These initial cases were removed from further analysis. In the remaining 299 nodules, median VRR at 3, 6, and 12 months was 57.1%, 65.6%, and 70.8%. Baseline nodule volume negatively correlated with VRR at 12 months but VRR was high for every volume category. Energy delivered per volume did not correlate with VRR. Conclusion: In RFA for thyroid nodules, a stable treatment efficacy is achieved after 20 treatments, with a median VRR of 70.8%. Baseline nodule volume energy delivered and prolonged follow-up 6 months after treatment may not be clinically relevant to predict treatment success.

Original languageEnglish
Pages (from-to)3201-3209
Number of pages9
JournalJournal of clinical endocrinology and metabolism
Volume110
Issue number11
Early online date29 Jan 2025
DOIs
Publication statusPublished - 1 Nov 2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • learning curve
  • nodule
  • radiofrequency ablation
  • thyroid
  • ultrasound

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