Literature DB >> 9522388

The impedivity of freshly excised human breast tissue.

J Jossinet1.   

Abstract

A set of 120 impedivity spectra was collected in breast tissue immediately after excision from 64 patients undergoing breast surgery. The measurements were made at 12 discrete frequencies halving from 1 MHz to 488 Hz. The spectra were sorted into three groups of normal tissue, mammary gland, connective tissue and adipose tissue, and three groups of pathological tissue, mastopathy, fibroadenoma and carcinoma. Intergroup multiple comparisons of the components of impedivity and admittivity were systematically carried out at every measurement frequency. The low-frequency-limit resistivity, the fractional power and characteristic frequencies were calculated from the experimental data. No significant correlation between impedivity and admittivity and patient's age was observed, except for mastopathy. No significant difference between groups of normal tissue and benign pathology (mammary gland, mastopathy and fibroadenoma) was found. The group of carcinoma differed from all the other groups principally by the low-frequency-limit resistivity, the fractional power and the phase angle at frequency above 125 kHz. These results indicate that impedance spectroscopy is appropriate for the detection of breast cancer.

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Year:  1998        PMID: 9522388     DOI: 10.1088/0967-3334/19/1/006

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  33 in total

1.  Classification of breast tissue by electrical impedance spectroscopy.

Authors:  J E da Silva; J P de Sá; J Jossinet
Journal:  Med Biol Eng Comput       Date:  2000-01       Impact factor: 2.602

2.  Influence of size and depth on accuracy of electrical impedance scanning.

Authors:  Ansgar Malich; Mirjam Facius; Roselle Anderson; Joachim Böttcher; Dieter Sauner; Andreas Hansch; Christiane Marx; Alexander Petrovitch; Stefan Pfleiderer; Werner Kaiser
Journal:  Eur Radiol       Date:  2003-07-05       Impact factor: 5.315

3.  The complete electrode model for EIT in a mammography geometry.

Authors:  Bong Seok Kim; Gregory Boverman; Jonathan C Newell; Gary J Saulnier; David Isaacson
Journal:  Physiol Meas       Date:  2007-06-26       Impact factor: 2.833

4.  An analytical layered forward model for breasts in electrical impedance tomography.

Authors:  Rujuta Kulkarni; Gregory Boverman; David Isaacson; Gary J Saulnier; Tzu-Jen Kao; Jonathan C Newell
Journal:  Physiol Meas       Date:  2008-06-10       Impact factor: 2.833

5.  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

6.  Robust linearized image reconstruction for multifrequency EIT of the breast.

Authors:  Gregory Boverman; Tzu-Jen Kao; Rujuta Kulkarni; Bong Seok Kim; David Isaacson; Gary J Saulnier; Jonathan C Newell
Journal:  IEEE Trans Med Imaging       Date:  2008-10       Impact factor: 10.048

7.  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

8.  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

9.  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

Review 10.  Electrical impedance myography: Background, current state, and future directions.

Authors:  Seward B Rutkove
Journal:  Muscle Nerve       Date:  2009-12       Impact factor: 3.217

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