ArticleBreast (Edinburgh, Scotland)2020
Individualized-thresholding Shear Wave Elastography combined with clinical factors improves specificity in discriminating breast masses.
Article in Breast (Edinburgh, Scotland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Diagnostic performance of shear-wave dispersion imaging and shear-wave elastography for differentiating benign and malignant breast masses.European radiology · 2026Article
- Article
- Clinical value of quantitative analysis of Sonazoid-contrast enhanced ultrasound combined with shear wave elastography in discriminating and diagnosing breast tumor characteristics.Frontiers in oncology · 2025Article
- Correlation between SWE parameters and histopathological features and immunohistochemical biomarkers in invasive breast cancer.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024Article
- A Force-Matched Approach to Large-Strain Nonlinearity in Elasticity Imaging for Breast Lesion Characterization.IEEE transactions on bio-medical engineering · 2024Article
- A Novel Nomogram Based on Imaging Biomarkers of Shear Wave Elastography, Angio Planewave Ultrasensitive Imaging, and Conventional Ultrasound for Preoperative Prediction of Malignancy in Patients with Breast Lesions.Diagnostics (Basel, Switzerland) · 2023Article
- Added value of mass characteristic frequency to 2-D shear wave elastography for differentiation of benign and malignant thyroid nodules.Ultrasound in medicine & biology · 2022Article
- Hybrid high-definition microvessel imaging/shear wave elastography improves breast lesion characterization.Breast cancer research : BCR · 2022Article
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Authors and funding
8 authors.
Funding
Abstract
purposeTo 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.
methodsOf 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.
results265 of 659 (40.2%) masses were malignant. Using two E
conclusionsThe false-positive rate can be significantly reduced when applying two E
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