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Published in: European Radiology 9/2013

01-09-2013 | Head and Neck

Quantitative assessment of shear-wave ultrasound elastography in thyroid nodules: diagnostic performance for predicting malignancy

Authors: Hana Kim, Jeong-Ah Kim, Eun Ju Son, Ji Hyun Youk

Published in: European Radiology | Issue 9/2013

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Abstract

Objectives

To evaluate the predictability of shear-wave ultrasound elastography (SWE) for thyroid malignancy and to compare the diagnostic performances of SWE and B-mode US.

Methods

Retrospective review of 99 patients who underwent SWE before US-guided fine-needle aspiration of thyroid nodules was performed. SWE elasticity indices of the mean (Emean ), maximum (Emax), and minimum (Emin) of nodules were measured. Diagnostic performance of SWE was compared with that of B-mode US.

Results

Among a total of 99 nodules, 21 were papillary thyroid carcinoma (PTC) and 78 were benign. Emean, Emax, and Emin were significantly higher in PTCs than in benign nodules (P < 0.001). Sensitivity and specificity for predicting malignancy were 76.1 %, 64.1 % with Emax (65 kPa), 61.9 %, 76.1 % with Emin (53 kPa), and 66.6 %, 71.6 % with Emean (62 kPa). Areas under the ROC curves (Az) of SWE values were not significantly different from those of US categories on B-mode US. However, combining Emean and Emin with B-mode US of probably benign lesions improved the specificity (P = 0.02, 0.007) for predicting PTC.

Conclusions

The quantitative parameter of SWE was significantly higher in PTC than in benign nodules, and combined use of quantitative SWE and B-mode US provided higher specificity for predicting malignancy.

Key Points

Quantitative shear-wave elastography (SWE) helps differentiate benign from malignant nodules
SWE and conventional ultrasound have comparable diagnostic performance for predicting thyroid malignancy
Combined quantitative SWE and B-mode ultrasound is highly specific for thyroid malignancy
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Metadata
Title
Quantitative assessment of shear-wave ultrasound elastography in thyroid nodules: diagnostic performance for predicting malignancy
Authors
Hana Kim
Jeong-Ah Kim
Eun Ju Son
Ji Hyun Youk
Publication date
01-09-2013
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 9/2013
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-013-2847-5

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