ArticleThoracic cancer2018
Dielectric properties for non-invasive detection of normal, benign, and malignant breast tissues using microwave theories.
Article in Thoracic cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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40 citing papers in PubMed, 116 citations in OpenAlex.
- A systematic pipeline for evaluating factors affecting radar-based microwave breast imaging quality.Biomedical physics & engineering express · 2026Article
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- The electrical tumor microenvironment: abnormalities and opportunities.Frontiers in oncology · 2026Review
- Oxidative stress and antioxidants in breast cancer: a double-edged sword.Frontiers in oncology · 2026Review
- Improved Microwave Imaging with the Extended Born Iterative Method.IEEE transactions on antennas and propagation · 2026Article
- Feasibility of tumor detection with a transmission-based microwave imaging system.Medical physics · 2025Article
- Real-Time Differentiation Between Benign and Malignant Breast Tumors and Other Tissues Using Dielectric Properties.Medical science monitor : international medical journal of experimental and clinical research · 2025Article
- Integrating Complex Permittivity Measurements with Histological Analysis for Advanced Tissue Characterization.Sensors (Basel, Switzerland) · 2025Article
- XGBoost Enhances the Performance of SAFE: A Novel Microwave Imaging System for Early Detection of Malignant Breast Cancer.Cancers · 2025Article
- An optimized sliding rail-assisted micrometer system for sensing volume measurement of open-ended coaxial probes in breast cancer dielectric property analysis.Frontiers in bioengineering and biotechnology · 2025Article
- Metamaterial-based Artificial magnetic conductor for efficient breast cancer diagnosis using a low-cost antenna array.Scientific reports · 2024Article
- Design and experimental validation of a metamaterial-based sensor for microwave imaging in breast, lung, and brain cancer detection.Scientific reports · 2024Article
- Review of Microwave Near-Field Sensing and Imaging Devices in Medical Applications.Sensors (Basel, Switzerland) · 2024Review
- Sensitivity investigation of open-ended coaxial probe in skin cancer detection.Physical and engineering sciences in medicine · 2023Article
- A Tuned Microwave Resonant System for Subcutaneous Imaging.Sensors (Basel, Switzerland) · 2023Article
- A Lightweight Deep Learning Based Microwave Brain Image Network Model for Brain Tumor Classification Using Reconstructed Microwave Brain (RMB) Images.Biosensors · 2023Article
- High-Frequency (30 MHz-6 GHz) Breast Tissue Characterization Stabilized by Suction Force for Intraoperative Tumor Margin Assessment.Diagnostics (Basel, Switzerland) · 2023Article
- Engineering functional and anthropomorphic models for surgical training in interventional radiology: A state-of-the-art review.Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine · 2023Review
- Early breast cancer detection and differentiation tool based on tissue impedance characteristics and machine learning.Frontiers in artificial intelligence · 2023Article
- Motion-based microwave tomographic measurement device for three-dimensional coverage in a magnetic resonance system.Medical physics · 2022Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite the high incidence of breast cancer worldwide, methods for early non-invasive diagnosis and sensitive and specific prognostic evaluation remain difficult. In this study, we investigated microwave parameters as a potential non-invasive approach to detect breast cancer.
methodsSamples of freshly excised breast tissues (n = 509) from 98 patients were identified as normal, benign tumor, or malignant cancer via histology. Further samples were prepared and the microwave effective dielectric permittivity and effective conductivity were measured every 0.0375 GHz from 0.5 GHz to 8 GHz. These parameters were compared among the breast tissue types.
resultsThe effective relative permittivity and effective conductivity at each frequency was significantly higher in breast cancer tissues compared with benign tumors, which in turn was significantly higher than in normal breast tissue. The standard deviation of each parameter was narrowest at ~2.5 GHz in both normal and malignant breast tissues.
conclusionsThe effective dielectric permittivity and effective conductivity, measured via microwave technology, could differentiate breast cancer from normal and benign tumor tissues.
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