title: The role of sonoelastography in the differential diagnosis of neck nodules.
abstract: Sonoelastography is an imaging technique that provides information on tissue elasticity. Its use as a diagnostic procedure is based on the premise that pathological processes like cancer alter the physical characteristics of the involved tissue. Ultrasonographic studies of the neck can reveal the nonpalpable thyroid nodules, but the nature of these lesions generally has to be established on the basis of FNAB findings. In our hands, sonoelastography displayed a diagnostic accuracy of 86.2% in identifying thyroid nodule malignancy, with positive and negative predictive values (PPV and NPV) of 64% and 94.5%, respectively. In the study of cervical lymph nodes, the results were less impressive (sensitivity 75%, specificity 80%, accuracy 77%, PPV 80%, NPV 70%), but the information obtained with this technique can in our opinion be a useful adjunct to sonographic findings. Indeed, in 5 lymph nodes with sonographic features consistent with malignancy, sonoelastography revealed diffuse elasticity that was indicative of benign disease, which was confirmed by pathological studies. Other nodular lesions of the neck can also be evaluated with sonoelastography, including enlarged parotid glands, but the data in the literature are too limited to allow hypotheses on the role of this imaging modality in this field. Sonoelastography is rapid and simple to perform, and it appears to be a potentially useful tool for the differential diagnosis of neck nodules. This is particularly true of thyroid nodules. Our experience with these lesions indicates that diffuse elasticity is strongly correlated with benign disease. If this finding is confirmed in larger studies, sonoelastography might be used to identify thyroid nodules that do not require immediate biopsy.
authors: Department of Medical-Diagnostic Sciences and Special Therapy, University of Padua, Padua, Italy.
authors: L
authors: L
authors: Rubaltelli
authors: R
authors: R
authors: Stramare
authors: A
authors: A
authors: Tregnaghi
authors: E
authors: E
authors: Scagliori
authors: E
authors: E
authors: Cecchelero
authors: M
authors: M
authors: Mannucci
authors: E
authors: E
authors: Gallinaro
authors: V
authors: V
authors: Beltrame
keywords: Technology assessment; Thyroid; Tumor
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