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.

Thyroid Nodule Characterization: Overview and State of the Art of Diagnosis with Recent Developments, from Imaging to Molecular Diagnosis and Artificial Intelligence / David, E.; Grazhdani, H.; Tattaresu, G.; Pittari, A.; Foti, P. V.; Palmucci, S.; Spatola, C.; Lo Greco, M. C.; Ini, C.; Tiralongo, F.; Castiglione, D.; Mastroeni, G.; Gigli, S.; Basile, A.. - In: BIOMEDICINES. - ISSN 2227-9059. - 12:8(2024). [10.3390/biomedicines12081676]

Thyroid Nodule Characterization: Overview and State of the Art of Diagnosis with Recent Developments, from Imaging to Molecular Diagnosis and Artificial Intelligence

David E.
Primo
;
Tiralongo F.;Castiglione D.;Mastroeni G.;
2024

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.
2024
artificial intelligence; fine-needle aspiration biopsy; thyroid cancer; thyroid imaging reporting and data system; thyroid nodules; ultrasound
01 Pubblicazione su rivista::01g Articolo di rassegna (Review)
Thyroid Nodule Characterization: Overview and State of the Art of Diagnosis with Recent Developments, from Imaging to Molecular Diagnosis and Artificial Intelligence / David, E.; Grazhdani, H.; Tattaresu, G.; Pittari, A.; Foti, P. V.; Palmucci, S.; Spatola, C.; Lo Greco, M. C.; Ini, C.; Tiralongo, F.; Castiglione, D.; Mastroeni, G.; Gigli, S.; Basile, A.. - In: BIOMEDICINES. - ISSN 2227-9059. - 12:8(2024). [10.3390/biomedicines12081676]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1725568
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