Literature DB >> 8945857

Variability of impedivity in normal and pathological breast tissue.

J Jossinet1.   

Abstract

The impedivity of six groups of breast tissue is measured between 0.488 kHz and 1 MHz using a hand-held probe, ensuring a constant geometry factor, and a microcomputer-controlled impedance spectroscopy system. 120 spectra are collected in excised tissue samples from 64 patients undergoing breast surgery. Each spectrum consists of 12 frequency points. The mean m, the standard deviation s, and the 'reduced standard error' (epsilon = s/(m N)) of the magnitude and the phase angle of the impedivity are calculated at each frequency for all groups of tissues. The variability at low frequency (f < 10 kHz) is attributed to the dispersion in measurement errors. This contributed to the choice of 32 KHz as the lower limit of measurement frequency in constructed electrical impedance tomograph. The collected data also show that frequencies larger than 1 MHz are needed for the bio-electrical characterisation of breast tissue. In the frequency range used in electrical impedance tomography the reduced standard error of impedivity in breast tissue is about 0.1 or less. The lowest dispersions are observed in the adipose tissue, carcinoma and fibro-adenoma.

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Year:  1996        PMID: 8945857     DOI: 10.1007/bf02520002

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  4 in total

1.  Dielectric properties of breast carcinoma and the surrounding tissues.

Authors:  A J Surowiec; S S Stuchly; J B Barr; A Swarup
Journal:  IEEE Trans Biomed Eng       Date:  1988-04       Impact factor: 4.538

2.  Quantitative technique for bio-electrical spectroscopy.

Authors:  J Jossinet; A Lobel; C Michoudet; M Schmitt
Journal:  J Biomed Eng       Date:  1985-10

3.  A study of the electrical bio-impedance of tumors.

Authors:  T Morimoto; S Kimura; Y Konishi; K Komaki; T Uyama; Y Monden; Y Kinouchi; T Iritani
Journal:  J Invest Surg       Date:  1993 Jan-Feb       Impact factor: 2.533

  4 in total
  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.  Electrical impedance scanning-application of this new technique for lymph node evaluation in children.

Authors:  Hans-Joachim Mentzel; Ansgar Malich; Karim Kentouche; Martin Freesmeyer; Joachim Böttcher; Gerlind Schneider; Bernd Gruhn; Susanna Vogt; Felix Zintl; Roselle Anderson; Werner A Kaiser
Journal:  Pediatr Radiol       Date:  2003-05-01

3.  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

4.  Diagnosis of breast cancer in light microscopic and mammographic images textures using relative entropy via kernel estimation.

Authors:  Sevcan Aytac Korkmaz; Mehmet Fatih Korkmaz; Mustafa Poyraz
Journal:  Med Biol Eng Comput       Date:  2015-09-07       Impact factor: 2.602

5.  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

6.  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

7.  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

8.  Breast tissue image classification based on Semi-supervised Locality Discriminant Projection with Kernels.

Authors:  Jun-Bao Li; Yang Yu; Zhi-Ming Yang; Lin-Lin Tang
Journal:  J Med Syst       Date:  2011-07-07       Impact factor: 4.460

9.  Understanding diseases as increased heterogeneity: a complex network computational framework.

Authors:  Massimiliano Zanin; Juan Manuel Tuñas; Ernestina Menasalvas
Journal:  J R Soc Interface       Date:  2018-08       Impact factor: 4.118

10.  A preliminary study of the use of bioimpedance in the screening of squamous tongue cancer.

Authors:  Congo Tak-Shing Ching; Tai-Ping Sun; Su-Hua Huang; Chin-Sung Hsiao; Ching-Haur Chang; Shiow-Yuan Huang; Yi-Juai Chen; Chi-Sheng Cheng; Hsiu-Li Shieh; Chung-Yuan Chen
Journal:  Int J Nanomedicine       Date:  2010-04-07
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