Electrical Impedance Spectroscopy for Ex-Vivo Breast Cancer Tissues Analysis.
Electrical impedance
Minimally invasive diagnosis
Neoplastic tissue resistivity
Tissue discrimination
Tomography cancer detection
Journal
Annals of biomedical engineering
ISSN: 1573-9686
Titre abrégé: Ann Biomed Eng
Pays: United States
ID NLM: 0361512
Informations de publication
Date de publication:
Jul 2023
Jul 2023
Historique:
received:
02
02
2022
accepted:
02
02
2023
medline:
15
6
2023
pubmed:
16
4
2023
entrez:
15
4
2023
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 37061594
doi: 10.1007/s10439-023-03159-4
pii: 10.1007/s10439-023-03159-4
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1535-1546Subventions
Organisme : Advisory Board della Ricerca Scientifica Ente Ospedaliero Cantonale (ABREOC)
ID : 22097
Informations de copyright
© 2023. The Author(s) under exclusive licence to Biomedical Engineering Society.
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