Literature DB >> 10372147

A review of parameters for the bioelectrical characterization of breast tissue.

J Jossinet1, M Schmitt.   

Abstract

In the data set collected by the authors in freshly excised breast tissue, the admittance loci generally differed from circular arcs, rendering the calculation of the usual set of parameters impossible. Alternative parameters were used for the analysis of these data. The present study consists of the definition and evaluation of a set of such parameters aimed at the characterization and differentiation of breast tissues. These parameters were defined so that their calculation does not require the fit of circular arcs to the experimental points and is independent of any equivalent circuit model. The results of the statistical analysis showed significant differences between most of the tissue groups, especially between cancerous tissue and all the other groups, which confirmed that impedance spectroscopy can be considered as potentially suitable for breast cancer detection.

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Year:  1999        PMID: 10372147     DOI: 10.1111/j.1749-6632.1999.tb09446.x

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  25 in total

1.  Novel electrode-skin interface for breast electrical impedance scanning.

Authors:  Zhenyu Ji; Xiuzhen Dong; Xuetao Shi; Fusheng You; Feng Fu; Ruigang Liu
Journal:  Med Biol Eng Comput       Date:  2009-08-05       Impact factor: 2.602

2.  Irreversible electroporation near the heart: ventricular arrhythmias can be prevented with ECG synchronization.

Authors:  Ajita Deodhar; Timm Dickfeld; Gordon W Single; William C Hamilton; Raymond H Thornton; Constantinos T Sofocleous; Majid Maybody; Mithat Gónen; Boris Rubinsky; Stephen B Solomon
Journal:  AJR Am J Roentgenol       Date:  2011-03       Impact factor: 3.959

3.  A reconstruction algorithm for breast cancer imaging with electrical impedance tomography in mammography geometry.

Authors:  Myoung Hwan Choi; Tzu-Jen Kao; David Isaacson; Gary J Saulnier; Jonathan C Newell
Journal:  IEEE Trans Biomed Eng       Date:  2007-04       Impact factor: 4.538

Review 4.  Magnetic-resonance-based electrical properties tomography: a review.

Authors:  Xiaotong Zhang; Jiaen Liu; Bin He
Journal:  IEEE Rev Biomed Eng       Date:  2014

5.  Electromechanical Coupling Factor of Breast Tissue as a Biomarker for Breast Cancer.

Authors:  Kihan Park; Wenjin Chen; Marina A Chekmareva; David J Foran; Jaydev P Desai
Journal:  IEEE Trans Biomed Eng       Date:  2017-04-19       Impact factor: 4.538

6.  Methods for compensating for variable electrode contact in EIT.

Authors:  Gregory Boverman; David Isaacson; Gary J Saulnier; Jonathan C Newell
Journal:  IEEE Trans Biomed Eng       Date:  2009-07-21       Impact factor: 4.538

7.  The correlation of in vivo and ex vivo tissue dielectric properties to validate electromagnetic breast imaging: initial clinical experience.

Authors:  Ryan J Halter; Tian Zhou; Paul M Meaney; Alex Hartov; Richard J Barth; Kari M Rosenkranz; Wendy A Wells; Christine A Kogel; Andrea Borsic; Elizabeth J Rizzo; Keith D Paulsen
Journal:  Physiol Meas       Date:  2009-06-02       Impact factor: 2.833

8.  A method for analyzing electrical impedance spectroscopy data from breast cancer patients.

Authors:  Bong Seok Kim; David Isaacson; Hongjun Xia; Tzu-Jen Kao; Jonathan C Newell; Gary J Saulnier
Journal:  Physiol Meas       Date:  2007-06-26       Impact factor: 2.833

9.  Gradient-based electrical properties tomography (gEPT): A robust method for mapping electrical properties of biological tissues in vivo using magnetic resonance imaging.

Authors:  Jiaen Liu; Xiaotong Zhang; Sebastian Schmitter; Pierre-Francois Van de Moortele; Bin He
Journal:  Magn Reson Med       Date:  2014-09-11       Impact factor: 4.668

10.  Regional admittivity spectra with tomosynthesis images for breast cancer detection: preliminary patient study.

Authors:  Tzu-Jen Kao; Gregory Boverman; Bong Seok Kim; David Isaacson; Gary J Saulnier; Jonathan C Newell; Myoung H Choi; Richard H Moore; Daniel B Kopans
Journal:  IEEE Trans Med Imaging       Date:  2008-12       Impact factor: 10.048

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