Strain US Elastography for the Characterization of Thyroid Nodules: Advantages and Limitation

Author:

Cantisani Vito1,Grazhdani Hektor1,Drakonaki Elena2,D’Andrea Vito3,Di Segni Mattia1,Kaleshi Erton4,Calliada Fabrizio5,Catalano Carlo1,Redler Adriano3ORCID,Brunese Luca6,Drudi Francesco Maria1,Fumarola Angela7,Carbotta Giovanni7,Frattaroli Fabrizio3,Di Leo Nicola1,Ciccariello Mauro1,Caratozzolo Marcello1,D’Ambrosio Ferdinando1

Affiliation:

1. Department of Radiology, Anatomopathology and Oncology, Sapienza University of Rome, Viale del Policlinico 155, 00161 Rome, Italy

2. Venizelio Regional General Hospital of Heraklion, Leoforos Knosou, 714 09 Iraklio, Greece

3. Department of Surgical Sciences, Sapienza University of Rome, Viale Regina Elena 324, 00161 Rome, Italy

4. University of Tirana, Rruga Arben Broci, Tirana, Albania

5. University Hospital of Pavia, Viale Camillo Golgi 19, 27100 Pavia, Italy

6. Department of Medicine and Health Sciences, University of Molise, Contrada Tappino, 86100 Campobasso, Italy

7. Department of Experimental Medicine, Sapienza University of Rome, Viale Regina Elena 324, 00161 Rome, Italy

Abstract

Thyroid nodules, with their high prevalence in the general population, represent a diagnostic challenge for clinicians. Ultrasound (US), although absolutely reliable in detecting thyroid nodules, is still not accurate enough to differentiate them into benign and malignant. A promising novel modality, US elastography, has been introduced in order to further increase US accuracy. The purpose of this review article is to assess the thyroid application of US strain elastography, also known as real-time elastography or quasistatic elastography. We provide a presentation of the technique, and of up-to-date literature, analyzing the most prominent results reported for thyroid nodules differentiation. The practical advantages and limitations of strain elastography are extensively discussed herein.

Publisher

Hindawi Limited

Subject

Endocrine and Autonomic Systems,Endocrinology,Endocrinology, Diabetes and Metabolism

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