Update on the role of ultrasound guided radiofrequency ablation for thyroid nodule treatment

Maija Radzina, Vito Cantisani, Madara Rauda, Michael Bachmann Nielsen, Caroline Ewertsen, Ferdinando D'Ambrosio, Peteris Prieditis, Salvatore Sorrenti

Research output: Contribution to journalReview articlepeer-review

37 Citations (Scopus)
9 Downloads (Pure)

Abstract

Thyroid nodules can be frequently detected in general population, most of them are benign, however malignant cases are rising in the past decades. Ultrasound (US) is the most common imaging modality to assess thyroid nodular lesions, plan patient work-up and guide minimally invasive treatment. The present review paper has been researched to evaluate the current status of radiofrequency ablation (RFA) treatment in order to evaluate indications, techniques, complications, limitations and outcome assessment in benign solid, partially cystic nodules and recurrent malignant nodules. RFA comparison with other ablation techniques has been provided as well. US guided Radiofrequency ablation has been proved to be effective and safe in cases of benign thyroid nodules and a promising treatment method alternative to surgery for patients with recurrent papillary thyroid cancer. It's major role lies in significant reduction of thyroid nodule mean volume and improvement of the patient symptoms. However, future multicenter studies are warranted to better clarify the multi-parametric patient selection criteria and evaluate RFA technique efficacy, advantages and limitations in the variety of thyroid nodular disease.

Original languageEnglish
Pages (from-to)S82-S93
JournalInternational Journal of Surgery
Volume41
DOIs
Publication statusPublished - 1 May 2017
Externally publishedYes

Keywords*

  • Radiofrequency ablation
  • Radiofrequency thermal ablation
  • RFA
  • Thyroid
  • Thyroid gland
  • Thyroid nodule
  • Ultrasonography
  • Ultrasound

Field of Science*

  • 3.2 Clinical medicine

Publication Type*

  • 1.1. Scientific article indexed in Web of Science and/or Scopus database

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