Individualized-thresholding Shear Wave Elastography combined with clinical factors improves specificity in discriminating breast masses.

To investigate the diagnostic role of new metrics, defined as individualized-thresholding of Shear Wave Elastography (SWE) parameters, in association with clinical factors (such as age, mammographic density, lesion size and depth) and the BI-RADS features in differentiating benign from malignant breast lesions. Of 644 consecutive patients (median age, 55 years), prospectively referred for evaluation, 659 ultrasound detected breast lesions underwent SWE measurements. Multivariable logistic regression analysis was used to estimate the probability of malignancy. The area under the curve (AUC), optimal cutoff value, and the corresponding sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were determined. 265 of 659 (40.2%) masses were malignant. Using two E The false-positive rate can be significantly reduced when applying two E

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Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article and the authors affirm that they have no financial interest related to the technology referenced in this paper. AA received grant R01CA148994 from the National Institutes of Health (NIH); AA and MF also received grant from National Science Foundation to support in part the project, however, the NIH and NSF did not have any additional role in the study design, data collection and analysis, decision to publish or preparation of the manuscript.