Tuesday 24 November 2020

Individualized-thresholding Shear Wave Elastography Combined with Clinical Factors Improves Specificity in Discriminating Breast Masses

 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

 

The Breast:  VOLUME 54, P248-255, DECEMBER 01, 2020

 

Highlights

•Larger mass size and lower mass depth increase false positives in breast SWE.

•Smaller mass size and increased mass depth increase false negatives in breast SWE.

•Individualized elasticity cutoffs based on lesion size and depth improves the specificity.

•Multifactorial analysis including age, individualized cutoffs, BIRADS improves sensitivity/specificity.

•Mammographic breast density does not affect the SWE measurements of breast masses.

Abstract

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 Emean 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 Emean with two cutoffs, age and BI-RADS, the new ROC curve based on the malignancy probability calculation showed the highest AUC (0.954, 95% CI: 0.938–0.969). Using the optimal probability threshold of 0.514, the corresponding specificity, sensitivity, PPV and NPV were 92.9%, 89.1%, 89.4% and 92.7%, respectively.

Conclusions

The false-positive rate can be significantly reduced when applying two Emean cutoffs based on lesion size and depth. Moreover, the combination of age, Emean with two cutoffs and BI-RADS can further reduce the false negatives and false positives. Overall, this multifactorial analysis improves the specificity of ultrasound while maintaining a high sensitivity.