Literature DB >> 22830750

The Cole relaxation frequency as a parameter to identify cancer in breast tissue.

W D Gregory1, J J Marx, C W Gregory, W M Mikkelson, J A Tjoe, J Shell.   

Abstract

PURPOSE: To correlate the Cole relaxation frequencies obtained from measurements of the electrical properties of breast tissue to the presence or absence of cancer.
METHODS: Four-lead impedance measurements were obtained on ex vivo specimens extracted during surgery from 187 volunteer patients. Data were acquired with a commercial Solartron impedance bridge employing 4-lead Ag-AgCl or blackened platinum (BPt) electrodes at frequencies logarithmically spaced from 1 Hz to 3.2 × 10(7) Hz utilizing 6-10 frequencies per decade. The Cole frequencies obtained from these measurements were correlated with the tissue health status (cancer or noncancer) obtained from histological analysis of the specimens.
RESULTS: Analysis of the impedance measurements showed that the Cole relaxation frequencies correlated to the presence or absence of cancer in the examined tissue with a sensitivity up to 100% (95% CI, 99%-100%) and a specificity up to 85% (95% CI, 79%-91%) based on the ROC curve of the data with the Cole frequency as the classifier.
CONCLUSIONS: The results show that the Cole frequency alone is a viable classifier for malignant breast anomalies. Results of the current work are consistent with recent bioimpedance measurements on single cell and cell suspension breast cell lines.

Entities:  

Mesh:

Year:  2012        PMID: 22830750     DOI: 10.1118/1.4725172

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  6 in total

1.  Visualization and tissue classification of human breast cancer images using ultrahigh-resolution OCT.

Authors:  Xinwen Yao; Yu Gan; Ernest Chang; Hanina Hibshoosh; Sheldon Feldman; Christine Hendon
Journal:  Lasers Surg Med       Date:  2017-03-06       Impact factor: 4.025

2.  Efficient Cancer Detection Using Multiple Neural Networks.

Authors:  John Shell; William D Gregory
Journal:  IEEE J Transl Eng Health Med       Date:  2017-11-15       Impact factor: 3.316

3.  Two-methods approach to follow up biomass by impedance spectroscopy: Bacillus thuringiensis fermentations as a study model.

Authors:  Adrián Díaz Pacheco; Raul Jacobo Delgado-Macuil; Claudia Patricia Larralde-Corona; Jabel Dinorín-Téllez-Girón; Francisco Martínez Montes; Shirlley E Martinez Tolibia; Victor Eric López Y López
Journal:  Appl Microbiol Biotechnol       Date:  2022-01-17       Impact factor: 4.813

4.  Electrical Impedance Characterization of in Vivo Porcine Tissue Using Machine Learning.

Authors:  Stephen Chiang; Matthew Eschbach; Robert Knapp; Brian Holden; Andrew Miesse; Steven Schwaitzberg; Albert Titus
Journal:  J Electr Bioimpedance       Date:  2021-07-02

Review 5.  The clinical application of electrical impedance technology in the detection of malignant neoplasms: a systematic review.

Authors:  Angela A Pathiraja; Ruwan A Weerakkody; Alexander C von Roon; Paul Ziprin; Richard Bayford
Journal:  J Transl Med       Date:  2020-06-08       Impact factor: 5.531

Review 6.  A Review on Electrical Impedance Tomography Spectroscopy.

Authors:  Juliana Padilha Leitzke; Hubert Zangl
Journal:  Sensors (Basel)       Date:  2020-09-10       Impact factor: 3.576

  6 in total

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