ArticleScientific reports2019
Breast cancer cells exhibits specific dielectric signature in vitro using the open-ended coaxial probe technique from 200 MHz to 13.6 GHz.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed.
- Modeling trap dynamics in oxide-engineered heterostructure TFETs for breast cancer detection.Scientific reports · 2025Article
- Conformal On-Body Antenna System Integrated with Deep Learning for Non-Invasive Breast Cancer Detection.Sensors (Basel, Switzerland) · 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
- Metamaterial-based Artificial magnetic conductor for efficient breast cancer diagnosis using a low-cost antenna array.Scientific reports · 2024Article
- Open-Ended Coaxial Probe for Effective Reconstruction of Biopsy-Excised Tissues' Dielectric Properties.Sensors (Basel, Switzerland) · 2024Article
- Dielectric Characterization of Breast Biopsied Tissues as Pre-Pathological Aid in Early Cancer Detection: A Blinded Feasibility Study.Diagnostics (Basel, Switzerland) · 2023Article
- Aberrant Water Structure Dynamics in B16 Melanoma-Bearing Mice by Time Domain Refractometry Analysis.Biology · 2023Article
- Determination of a Measurement Procedure for the Study of Cells' Dielectric Properties through Descriptive Statistic.Bioengineering (Basel, Switzerland) · 2023Article
- Microwave Imaging and Sensing Techniques for Breast Cancer Detection.Micromachines · 2023Review
- A mechanistically approached review upon assorted cell lines stimulated by athermal electromagnetic irradiation.Cell cycle (Georgetown, Tex.) · 2023Review
- Design of Ultra-Wideband Phased Array Applicator for Breast Cancer Hyperthermia Therapy.Sensors (Basel, Switzerland) · 2023Article
- High-Frequency (30 MHz-6 GHz) Breast Tissue Characterization Stabilized by Suction Force for Intraoperative Tumor Margin Assessment.Diagnostics (Basel, Switzerland) · 2023Article
- Early breast cancer detection and differentiation tool based on tissue impedance characteristics and machine learning.Frontiers in artificial intelligence · 2023Article
- Bioelectrical Impedance Spectroscopy for Monitoring Mammalian Cells and Tissues under Different Frequency Domains: A Review.ACS measurement science au · 2022Review
- Machine Learning-Based Classification of Abnormal Liver Tissues Using Relative Permittivity.Sensors (Basel, Switzerland) · 2022Article
- Low-Cost Antenna-Array-Based Metamaterials for Non-Invasive Early-Stage Breast Tumor Detection in the Human Body.Biosensors · 2022Article
- Water Dynamics in Cancer Cells: Lessons from Quasielastic Neutron Scattering.Medicina (Kaunas, Lithuania) · 2022Review
- Correlation between electrical characteristics and biomarkers in breast cancer cells.Scientific reports · 2021Article
- Nanomaterials responding to microwaves: an emerging field for imaging and therapy.Nanoscale advances · 2021Review
- Evaluating Performance of Microwave Image Reconstruction Algorithms: Extracting Tissue Types with Segmentation Using Machine Learning.Journal of imaging · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Here we investigated the feasibility of using microwave spectroscopy for characterization of normal and breast cancer cell lines cultured in vitro. Healthy non-tumorigenic, MCF-10A and breast cancer, MDA-MB-231, Hs578T, T47D and MCF-7 cell lines were electrically characterized using the open-ended coaxial probe technique from 200 MHz to 13.6 GHz. The dielectric constant, dielectric loss and conductivity between breast non-tumorigenic and breast cancer cells lines were analyzed and their differences determined. Our results showed that the four breast cancer cell lines analyzed exhibited higher dielectric properties when compared to healthy cells. Interestingly, we found that breast and colon cancer cells have different dielectric properties as well, thus suggesting that each type of cancer has a unique microwave signature. This study shows that microwave characterization of breast cancer cell lines is reliable with potential in biomedical applications such as designing electromagnetic models for detection of tumorous cells in healthy tissues.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.