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Updated: Jul 10, 2026

Clinical Imaging of Microwave Mammography
05:28

Clinical Imaging of Microwave Mammography

Published on: November 14, 2025

Breast cancer detection based on multi-frequency EIS measurement.

Zhen Cheng1, Dong Xiuzhen, Fu Feng

  • 1Fourth Military Medical University, Xi'an, China. dyryzxq@fmmu.edu.cn

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|November 16, 2007
PubMed
Summary

Multi-frequency Electrical Impedance Scanning (EIS) improves breast tumor diagnosis by analyzing conductivity differences. This method helps distinguish malignant from benign tumors, enhancing diagnostic accuracy for women.

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Electrical Engineering

Background:

  • Electrical Impedance Scanning (EIS) is a promising, non-invasive, and cost-effective method for breast tumor diagnosis.
  • Current EIS methods face challenges in differentiating malignant from benign tumors due to subtle differences in electrical conductivity.
  • Distinguishing tumor types is crucial for accurate diagnosis and treatment planning.

Purpose of the Study:

  • To introduce and evaluate a novel multi-frequency EIS method for improved breast tumor characterization.
  • To address the limitations of single-frequency EIS in distinguishing malignant from benign breast lesions.
  • To enhance the diagnostic accuracy of EIS by leveraging frequency-dependent electrical properties.

Main Methods:

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  • A specialized device was developed to perform multi-frequency EIS measurements with stable sensor contact and pressure.
  • Sequential scanning at various stimulating frequencies was conducted for each subject.
  • Collected impedance data across frequencies were analyzed to generate distinct conductivity-frequency curves for different tissue types.

    • Main Results:

    • Malignant and benign tumors exhibit different electrical conductivity-frequency profiles.
    • The multi-frequency EIS approach demonstrated potential in differentiating between malignant and benign breast lesions.
    • Clinical trials comparing EIS analysis with histopathology results were performed.

    Conclusions:

    • Multi-frequency EIS offers a more robust method for breast tumor diagnosis compared to traditional single-frequency approaches.
    • Analyzing the frequency-dependent electrical properties of tumors can significantly improve diagnostic specificity.
    • This technique holds promise for non-invasively characterizing breast lesions and guiding clinical decisions.