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Combining Virtual Touch Tissue Imaging and BI-RADS May Improve Solid Breast Lesion Evaluation.

Size Wu1, Xiaojing Cui1, Li Huang1

  • 1Department of Ultrasound, The First Affiliated Hospital of Hainan Medical University, Haikou, China.

Breast Care (Basel, Switzerland)
|June 1, 2017
PubMed
Summary

Virtual Touch tissue imaging (UE) shows promise for evaluating solid breast lesions. Combining UE with ultrasound (US) imaging significantly improves diagnostic performance compared to either method alone.

Keywords:
Acoustic radiation force impulse, ARFIBreast lesionsCarcinomaUltrasoundUltrasound elastographyVirtual touch tissue imaging, VTI

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Area of Science:

  • Medical Imaging
  • Diagnostic Ultrasound
  • Oncology

Background:

  • Ultrasound elastography (UE) is an emerging imaging technique.
  • Solid breast lesions require accurate differentiation between benign and malignant types.

Purpose of the Study:

  • To assess the diagnostic utility of Virtual Touch tissue imaging (UE) for solid breast lesions.
  • To compare the performance of UE, conventional ultrasound (US), and their combination.

Main Methods:

  • A retrospective analysis of 209 solid breast lesions in 192 patients.
  • Lesions were evaluated using both standard ultrasound (US) and ultrasound elastography (UE).
  • Diagnostic performance metrics including sensitivity, specificity, and ROC analysis were calculated.

Main Results:

  • Ultrasound elastography (UE) demonstrated sensitivity, specificity, and accuracy of 80.8%, 75.6%, and 77.9% respectively.
  • Conventional ultrasound (US) achieved 87.2% sensitivity, 86.1% specificity, and 86.6% accuracy.
  • The combination of US plus UE yielded the highest performance with 92.5% sensitivity, 86.9% specificity, and 89.5% accuracy, with significant improvement over UE alone (p < 0.05).

Conclusions:

  • The UE scoring system is not superior to BI-RADS for sonographic evaluation of solid breast lesions.
  • Combining ultrasound elastography with conventional ultrasound enhances diagnostic performance.
  • Further research may explore optimal integration of UE into breast lesion assessment protocols.