Quantitative Assessment of Breast-Tumor Stiffness Using Shear-Wave Elastography Histograms

Area of Science:

• Medical Imaging
• Ultrasound Technology
• Oncology

Background:

• Shear-wave elastography (SWE) is an ultrasound technique measuring tissue elasticity.
• Accurate detection of breast malignancy is crucial for effective treatment.
• Conventional SWE metrics have limitations in differentiating benign from malignant breast lesions.

Purpose of the Study:

• To develop and evaluate a novel histogram-based analysis of SWE heatmaps for improved breast cancer detection.
• To compare the diagnostic performance of the histogram method against conventional SWE metrics.

Main Methods:

• Utilized 2D SWE heatmaps from 22 benign and 51 malignant breast tumors with histological confirmation.
• Generated normalized, 250-binned RGB histograms from SWE images, analyzing skewness and area under the curve (AUC).
• Compared histogram features with qualitative 5-point scales and quantitative average (SWEavg)/maximal (SWEmax) stiffness.

Main Results:

• SWEavg and SWEmax did not significantly differentiate malignant from benign tumors (p > 0.05).
• RGB histograms showed significant differences between malignant and benign tumors (p < 0.001).
• AUC analysis of histograms identified reduced soft-tissue components as a significant biomarker (p = 0.03).

Conclusions:

• Histogram-based SWE quantitation offers improved diagnostic accuracy for breast malignancy compared to conventional average stiffness metrics.
• The developed histogram method demonstrates potential for enhancing breast cancer diagnosis.
• Further research is needed to improve the sensitivity of this novel SWE analysis technique.