Use of Shear Wave Elastography in the Sonographic Triage of Thyroid Nodules: Feasibility Study in a Series of Lesions Already Selected for Fine Needle Aspiration.


Journal

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
ISSN: 1550-9613
Titre abrégé: J Ultrasound Med
Pays: England
ID NLM: 8211547

Informations de publication

Date de publication:
Jul 2019
Historique:
received: 26 04 2018
accepted: 15 06 2018
pubmed: 28 11 2018
medline: 8 1 2020
entrez: 28 11 2018
Statut: ppublish

Résumé

The aim of this study was to evaluate the application of shear wave elastography (SWE) in the routine management of thyroid nodules, as a possible additional tool to the standard sonographic triage. A total of 248 consecutive patients scheduled for ultrasound-guided thyroid fine-needle aspiration were included in the study. The presence of a pure colloid lesion was an exclusion criterion. Absolute and relative SWE stiffness measurements on color-coded elastograms, expressed in kilopascals and meters per second, were correlated with radiologic and pathologic features. SWE values in thyroid nodules were significantly higher than normal thyroid tissue (P = .0001), proving the different elastic properties of the pathologic tissues. Regarding the radiologic characteristics of the nodules, SWE highest values were associated with the largest lesions (P = .0105) but independent from sonographic and Doppler findings. The SWE elasticity was not influenced by the characteristics of the biopsy smears. The final correlation between the SWE results and the pathologic diagnoses showed a trend in stiffness from tender tumors (follicular adenoma) to papillary thyroid carcinoma (P = .016). SWE allows the identification of nodules within normal parenchyma; however, the present study does not confirm the potential role in differentiating between benign and malignant thyroid nodules.

Identifiants

pubmed: 30480833
doi: 10.1002/jum.14857
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1713-1720

Subventions

Organisme : AIRC (Associazione Italiana per la Ricerca sul Cancro)
ID : MFAG GRANT 2016- Id. 18445

Informations de copyright

© 2018 by the American Institute of Ultrasound in Medicine.

Auteurs

Davide Ippolito (D)

Radiology, Department of Medicine and Surgery, Monza, Italy.

Stefania Galimberti (S)

Center of Biostatistics for Clinical Epidemiology, Department of Medicine and Surgery, Monza, Italy.

Davide Leni (D)

Radiology, Department of Medicine and Surgery, Monza, Italy.

Francesco Vacirca (F)

Radiology, Department of Medicine and Surgery, Monza, Italy.

Ahmed Nasr (A)

Pathology, Department of Medicine and Surgery, Monza, Italy.

Nicola Luigi Bragazzi (NL)

Postgraduate School of Public Health, Department of Health Sciences, University of Genoa, Genoa, Italy.

Sara Spiga (S)

Radiology, Department of Medicine and Surgery, Monza, Italy.

Valentina Schiavone (V)

Radiology, Department of Medicine and Surgery, Monza, Italy.

Angela Ida Pincelli (AI)

Department of Endocrinology, Monza, Italy.

Mattia Garancini (M)

Department of Surgery, University of Milano-Bicocca, San Gerardo Hospital, Monza, Italy.

Biagio Eugenio Leone (BE)

Pathology, Department of Medicine and Surgery, Monza, Italy.

Fabio Pagni (F)

Pathology, Department of Medicine and Surgery, Monza, Italy.

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