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Thyroid Nodule Characterization: Overview and State of the Art of Diagnosis with Recent Developments, from Imaging to Molecular Diagnosis and Artificial Intelligence.
David, Emanuele; Grazhdani, Hektor; Tattaresu, Giuliana; Pittari, Alessandra; Foti, Pietro Valerio; Palmucci, Stefano; Spatola, Corrado; Lo Greco, Maria Chiara; Inì, Corrado; Tiralongo, Francesco; Castiglione, Davide; Mastroeni, Giampiero; Gigli, Silvia; Basile, Antonio.
Afiliación
  • David E; Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinic "G. Rodolico-San Marco", 95123 Catania, Italy.
  • Grazhdani H; Department of Translational and Precision Medicine, "Sapienza" University of Rome, 00185 Rome, Italy.
  • Tattaresu G; Klinika Dani, 1010 Tirane, Albania.
  • Pittari A; Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinic "G. Rodolico-San Marco", 95123 Catania, Italy.
  • Foti PV; Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinic "G. Rodolico-San Marco", 95123 Catania, Italy.
  • Palmucci S; Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinic "G. Rodolico-San Marco", 95123 Catania, Italy.
  • Spatola C; Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinic "G. Rodolico-San Marco", 95123 Catania, Italy.
  • Lo Greco MC; Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinic "G. Rodolico-San Marco", 95123 Catania, Italy.
  • Inì C; Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinic "G. Rodolico-San Marco", 95123 Catania, Italy.
  • Tiralongo F; Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinic "G. Rodolico-San Marco", 95123 Catania, Italy.
  • Castiglione D; Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinic "G. Rodolico-San Marco", 95123 Catania, Italy.
  • Mastroeni G; Department of Medical Surgical Sciences and Advanced Technologies "GF Ingrassia", University Hospital Policlinic "G. Rodolico-San Marco", 95123 Catania, Italy.
  • Gigli S; Unit of Radiology, Papardo Hospital, 98158 Messina, Italy.
  • Basile A; Department of Diagnostic Imaging, Sandro Pertini Hospital, 00157 Rome, Italy.
Biomedicines ; 12(8)2024 Jul 26.
Article en En | MEDLINE | ID: mdl-39200141
ABSTRACT
Ultrasound (US) is the primary tool for evaluating patients with thyroid nodules, and the risk of malignancy assessed is based on US features. These features help determine which patients require fine-needle aspiration (FNA) biopsy. Classification systems for US features have been developed to facilitate efficient interpretation, reporting, and communication of thyroid US findings. These systems have been validated by numerous studies and are reviewed in this article. Additionally, this overview provides a comprehensive description of the clinical and laboratory evaluation of patients with thyroid nodules, various imaging modalities, grayscale US features, color Doppler US, contrast-enhanced US (CEUS), US elastography, FNA biopsy assessment, and the recent introduction of molecular testing. The potential of artificial intelligence in thyroid US is also discussed.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Biomedicines Año: 2024 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Biomedicines Año: 2024 Tipo del documento: Article País de afiliación: Italia Pais de publicación: Suiza