Literature DB >> 12538062

A review of electrical impedance techniques for breast cancer detection.

Y Zou1, Z Guo.   

Abstract

Some evidence has been found that malignant breast tumors have lower electrical impedance than surrounding normal tissues. Although the separation of malignant tumors from benign lesions based on impedance measurements needs further investigation, electrical impedance could be used as an indicator for breast cancer detection. In this paper, we provide a systematic technical review of the existing electrical impedance techniques proposed for breast cancer detection, with an emphasis on noninvasive impedance imaging techniques. The electrical impedance of human breast tissue is first introduced, with tabulation of previous in vitro impedance measurement results on cancerous and normal breast tissues, and a brief description on the limited in vivo impedance measurements completed with invasive, or noninvasive, non-imaging techniques. A detailed review on noninvasive impedance imaging techniques for breast cancer detection, such as electrical impedance tomography (EIT) and electrical impedance mapping (EIM), is then presented. We suggest that for better breast cancer detection, an invasive impedance technique may be enhanced by combination with other cancer indicators. 3D EIT should be improved through collective efforts. EIM using a pair of electrode arrays is a viable method with great potential. Magnetic induction tomography and other magnetic induction based impedance imaging for breast cancer detection are promising and merit further exploration as well.

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Year:  2003        PMID: 12538062     DOI: 10.1016/s1350-4533(02)00194-7

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  47 in total

1.  Dielectrophoretic differentiation of mouse ovarian surface epithelial cells, macrophages, and fibroblasts using contactless dielectrophoresis.

Authors:  Alireza Salmanzadeh; Harsha Kittur; Michael B Sano; Paul C Roberts; Eva M Schmelz; Rafael V Davalos
Journal:  Biomicrofluidics       Date:  2012-04-03       Impact factor: 2.800

2.  A compensated radiolucent electrode array for combined EIT and mammography.

Authors:  Tzu-Jen Kao; G J Saulnier; Hongjun Xia; Chandana Tamma; J C Newell; D Isaacson
Journal:  Physiol Meas       Date:  2007-06-26       Impact factor: 2.833

3.  Toward microendoscopic electrical impedance tomography for intraoperative surgical margin assessment.

Authors:  Ryan J Halter; Young-Joong Kim
Journal:  IEEE Trans Biomed Eng       Date:  2014-06-06       Impact factor: 4.538

4.  Numerical modeling of magnetic induction tomography using the impedance method.

Authors:  Airton Ramos; Julia G B Wolff
Journal:  Med Biol Eng Comput       Date:  2011-01-13       Impact factor: 2.602

5.  DNA fragmentation and caspase-independent programmed cell death by modulated electrohyperthermia.

Authors:  N Meggyeshazi; G Andocs; L Balogh; P Balla; G Kiszner; I Teleki; A Jeney; T Krenacs
Journal:  Strahlenther Onkol       Date:  2014-02-22       Impact factor: 3.621

6.  Diagnostic value of electric properties tomography (EPT) for differentiating benign from malignant breast lesions: comparison with standard dynamic contrast-enhanced MRI.

Authors:  Naoko Mori; Keiko Tsuchiya; Deepa Sheth; Shunji Mugikura; Kei Takase; Ulrich Katscher; Hiroyuki Abe
Journal:  Eur Radiol       Date:  2018-09-25       Impact factor: 5.315

7.  A DIRECT RECONSTRUCTION ALGORITHM FOR THE ANISOTROPIC INVERSE CONDUCTIVITY PROBLEM BASED ON CALDERÓN'S METHOD IN THE PLANE.

Authors:  Rashmi Murthy; Yi-Hsuan Lin; Kwancheol Shin; Jennifer L Mueller
Journal:  Inverse Probl       Date:  2020-12-03       Impact factor: 2.407

Review 8.  Magnetic-resonance-based electrical properties tomography: a review.

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

9.  The factorization method for electrical impedance tomography data from a new planar device.

Authors:  Mustapha Azzouz; Martin Hanke; Chantal Oesterlein; Karl Schilcher
Journal:  Int J Biomed Imaging       Date:  2007

10.  A two-layered forward model of tissue for electrical impedance tomography.

Authors:  Rujuta Kulkarni; Tzu-Jen Kao; Gregory Boverman; David Isaacson; Gary J Saulnier; Jonathan C Newell
Journal:  Physiol Meas       Date:  2009-06-02       Impact factor: 2.833

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