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Individualized-thresholding Shear Wave Elastography combined with clinical factors improves specificity in discriminating breast masses by Juanjuan Gu; Eric C. Polley; Redouane Ternifi; Rohit Nayak; Judy C. Boughey; Robert T. Fazzio; Mostafa Fatemi; Azra Alizad is a Medicine article available to read on EtoBox.
What is Individualized-thresholding Shear Wave Elastography combined with clinical factors improves specificity in discriminating breast masses about?
## Purpose 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. ## Methods 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. ## Results 265 of 659 (40.2%) masses were malignant. Using two __E__~__mean__~ cutoffs, 69.6 kPa for large superficial lesions (size >10 mm, depth ≤5 mm) and 39.2 kPa for the rest, the overall specificity, sensitivity, PPV and NPV were 92.6%, 86.8%, 88.8% and 91.3%, respectively. Combining multiple factors, including __E__~__mean__~ with two cutoffs, age and BI-RADS, the new ROC curve based on the malignancy probability c
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- Author
- Juanjuan Gu; Eric C. Polley; Redouane Ternifi; Rohit Nayak; Judy C. Boughey; Robert T. Fazzio; Mostafa Fatemi; Azra Alizad
- Publisher
- Elsevier BV
- Published
- 2020
- Language
- EN
- Field
- Medicine (Health Sciences)