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.
High-resolution ultrasound (US), as a readily available, cost-effective and harmless imaging technique, is appropriately the initial imaging modality for salivary gland lesions. Benign tumors are reported to present with regular and well-defined margins, a homogeneous hypoechoic structure and demarcated vessel distribution, whereas malignant lesions are irregular, heterogeneous and diffusely perfused. Ultrasound and color Doppler features of benign and malignant salivary gland lesions overlap, and many benign tumors, particularly pleomorphic adenomas, may appear irregularly shaped, with a heterogeneous echo-structure indistinguishable from a malignant lesion. Often skilled US operators are not always able to differentiate benign from malignant lesions. The introduction of US contrast agents has allowed further perspectives in the possible improvement of lesion characterization, and the emergence of US elastography, an innovative tool for assessing lesion stiffness/elasticity characteristics, has been advocated for differentiating salivary gland lesions. When lesions are atypical on US, contrast-enhanced magnetic resonance (MR) imaging is usually the definitive imaging modality. We present a current review of benign and malignant parotid gland tumors with emphasis on the role of multiparametric US and MR imaging.
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