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Updated: Jul 14, 2026

Clinical Imaging of Microwave Mammography
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Clinical Imaging of Microwave Mammography

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Breast MR imaging: computer-aided evaluation program for discriminating benign from malignant lesions.

Teresa C Williams1, Wendy B DeMartini, Savannah C Partridge

  • 1Department of Radiology, University of Washington Medical Center, Seattle Cancer Care Alliance, 825 Eastlake Ave E, Room G3-200, Seattle, WA 98109-1023, USA.

Radiology
|May 18, 2007
PubMed
Summary

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Computer-aided evaluation of breast MRI kinetic features improved distinguishing benign from malignant lesions. This tool enhanced accuracy, reducing false positives compared to initial radiologist interpretations.

Area of Science:

  • Radiology
  • Medical Imaging
  • Oncology

Background:

  • Breast magnetic resonance (MR) imaging is crucial for detecting breast cancer.
  • Differentiating benign from malignant lesions can be challenging.
  • Computer-aided evaluation (CAE) offers potential for enhanced diagnostic accuracy.

Purpose of the Study:

  • To assess the sensitivity of kinetic features from CAE in breast MR imaging for discriminating benign from malignant lesions.
  • To compare the diagnostic performance of CAE with initial radiologist interpretations.

Main Methods:

  • Retrospective analysis of 154 breast lesions (41 malignant, 113 benign) from 125 women.
  • Evaluation of computer-generated kinetic features, including threshold enhancement, peak enhancement, and enhancement profiles.

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  • Statistical comparison of CAE findings with histopathologic results and initial radiologist interpretations.

    • Main Results:

    • Threshold enhancement detected by CAE was highly sensitive for malignancy (93%).
    • Absence of threshold enhancement improved lesion discrimination.
    • CAE at the 100% enhancement threshold significantly reduced false-positive rates by 23.0% (P=.02).

    Conclusions:

    • Computer-aided evaluation of kinetic features in breast MR imaging significantly improves the discrimination between benign and malignant lesions.
    • CAE enhances diagnostic performance beyond initial radiologist interpretation.