ArticleAnnals of biomedical engineering2023
Electrical Impedance Spectroscopy for Ex-Vivo Breast Cancer Tissues Analysis.
Article in Annals of biomedical engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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
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Who cites it
5 citing papers in PubMed.
- Machine learning-guided bioelectrical impedance mapping for rapid adjunctive margin assessment in Mohs surgery.npj biomedical innovations · 2026Article
- Review
- 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
- Deep learning-based electrical impedance spectroscopy analysis for malignant and potentially malignant oral disorder detection.Scientific reports · 2025Article
- Reproducibility analysis of bioimpedance-based self-developed live cell assays.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
This paper describes a cancer detection procedure based on customised electrical impedance spectroscopy (EIS) in breast cancer surgical samples and an analysis of its outcomes. A tissue analyser was developed to inject a low-amplitude alternating current with penetrating electrodes into breast specimens along a broad spectrum of frequencies. Experimental measurements were carried out on more than one hundred excised breast cancer specimens, with the goal of discriminating between the tumour and surrounding non-neoplastic tissue. The probe was inserted in different locations immediately after surgical excision in order to measure tissue impedance (modulus and phase). Electrical impedance varied significantly between neoplastic and surrounding non-neoplastic tissues, with a low standard deviation among the different measurements, confirming good reproducibility. Tumours could be discriminated from non-neoplastic tissues according to their impedance modulus value for high frequencies and phase value for low frequencies. Impedance also varied significantly in both non-neoplastic and tumour tissues depending on the patient's age and tumour characteristics, such as size and histological sub-type. EIS is able to discriminate between healthy tissue and cancer. Future developments of this technology could be exploited for intraoperative real-time evaluation of the transition zone between cancer and normal tissues.
Indexed as
Identifiers
37061594What OpenQuestion holds
Registered trials
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