Machine Learning Prediction of Radiofrequency Thermal Ablation Efficacy: A New Option to Optimize Thyroid Nodule Selection.

Journal: European thyroid journal
Published Date: Dec 19, 2019

Abstract

BACKGROUND: Radiofrequency (RF) is a therapeutic modality for reducing the volume of large benign thyroid nodules. If thermal therapies are interpreted as an alternative strategy to surgery, critical issues in their use are represented by the extent of nodule reduction and by the durability of nodule reduction over a long period of time.

Authors

  • Roberto Negro
    Division of Endocrinology, V. Fazzi Hospital, Lecce, Italy.
  • Matteo Rucco
    United Technology Research Center, Trento, Italy.
  • Annalisa Creanza
    Division of Endocrinology and Metabolism, Mauriziano Hospital Umberto I, Turin, Italy.
  • Alberto Mormile
    Division of Endocrinology and Metabolism, Mauriziano Hospital Umberto I, Turin, Italy.
  • Paolo Piero Limone
    Division of Endocrinology and Metabolism, Mauriziano Hospital Umberto I, Turin, Italy.
  • Roberto Garberoglio
    Division of Endocrinology and Metabolism, Molinette Hospital, Turin, Italy.
  • Stefano Spiezia
    Endocrine Surgery, Ospedale del Mare, ASL NA1 Centro, Naples, Italy.
  • Salvatore Monti
    Endocrinology Unit, Azienda Ospedaliera Universitaria Sant'Andrea, Rome, Italy.
  • Christian Cugini
    Radiology Department, Villa Salus Hospital, Venice, Italy.
  • Ghassan El Dalati
    Radiology Department, Policlinico G.B. Rossi, Verona, Italy.
  • Maurilio Deandrea
    Division of Endocrinology and Metabolism, Mauriziano Hospital Umberto I, Turin, Italy.

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