Literature DB >> 17473342

A large-scale study of the ultrawideband microwave dielectric properties of normal breast tissue obtained from reduction surgeries.

Mariya Lazebnik1, Leah McCartney, Dijana Popovic, Cynthia B Watkins, Mary J Lindstrom, Josephine Harter, Sarah Sewall, Anthony Magliocco, John H Booske, Michal Okoniewski, Susan C Hagness.   

Abstract

The efficacy of emerging microwave breast cancer detection and treatment techniques will depend, in part, on the dielectric properties of normal breast tissue. However, knowledge of these properties at microwave frequencies has been limited due to gaps and discrepancies in previously reported small-scale studies. To address these issues, we experimentally characterized the wideband microwave-frequency dielectric properties of a large number of normal breast tissue samples obtained from breast reduction surgeries at the University of Wisconsin and University of Calgary hospitals. The dielectric spectroscopy measurements were conducted from 0.5 to 20 GHz using a precision open-ended coaxial probe. The tissue composition within the probe's sensing region was quantified in terms of percentages of adipose, fibroconnective and glandular tissues. We fit a one-pole Cole-Cole model to the complex permittivity data set obtained for each sample and determined median Cole-Cole parameters for three groups of normal breast tissues, categorized by adipose tissue content (0-30%, 31-84% and 85-100%). Our analysis of the dielectric properties data for 354 tissue samples reveals that there is a large variation in the dielectric properties of normal breast tissue due to substantial tissue heterogeneity. We observed no statistically significant difference between the within-patient and between-patient variability in the dielectric properties.

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Year:  2007        PMID: 17473342     DOI: 10.1088/0031-9155/52/10/001

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  67 in total

1.  Three-dimensional microwave imaging of realistic numerical breast phantoms via a multiple-frequency inverse scattering technique.

Authors:  Jacob D Shea; Panagiotis Kosmas; Susan C Hagness; Barry D Van Veen
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2.  Integration of microwave tomography with magnetic resonance for improved breast imaging.

Authors:  Paul M Meaney; Amir H Golnabi; Neil R Epstein; Shireen D Geimer; Margaret W Fanning; John B Weaver; Keith D Paulsen
Journal:  Med Phys       Date:  2013-10       Impact factor: 4.071

3.  Effect of Logarithmic and Linear Frequency Scales on Parametric Modelling of Tissue Dielectric Data.

Authors:  Saqib Salahuddin; Emily Porter; Paul M Meaney; Martin O'Halloran
Journal:  Biomed Phys Eng Express       Date:  2017-02-03

Review 4.  Photoacoustic tomography and sensing in biomedicine.

Authors:  Changhui Li; Lihong V Wang
Journal:  Phys Med Biol       Date:  2009-09-01       Impact factor: 3.609

5.  A 4-channel, vector network analyzer microwave imaging prototype based on software defined radio technology.

Authors:  Paul Meaney; Alexander Hartov; Selaka Bulumulla; Timothy Raynolds; Cynthia Davis; Florian Schoenberger; Sebastian Richter; Keith Paulsen
Journal:  Rev Sci Instrum       Date:  2019-04       Impact factor: 1.523

6.  Electrical Characterization of Glycerin: Water Mixtures: Implications for Use as a Coupling Medium in Microwave Tomography.

Authors:  Paul M Meaney; Colleen J Fox; Shireen D Geimer; Keith D Paulsen
Journal:  IEEE Trans Microw Theory Tech       Date:  2017-01-31       Impact factor: 3.599

7.  3D computational study of non-invasive patient-specific microwave hyperthermia treatment of breast cancer.

Authors:  Earl Zastrow; Susan C Hagness; Barry D Van Veen
Journal:  Phys Med Biol       Date:  2010-06-04       Impact factor: 3.609

Review 8.  Breast cancer imaging: a perspective for the next decade.

Authors:  Andrew Karellas; Srinivasan Vedantham
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

9.  Three-dimensional microwave breast imaging: dispersive dielectric properties estimation using patient-specific basis functions.

Authors:  David W Winters; Jacob D Shea; Panagiotis Kosmas; Barry D Van Veen; Susan C Hagness
Journal:  IEEE Trans Med Imaging       Date:  2009-02-10       Impact factor: 10.048

10.  MARIA M4: clinical evaluation of a prototype ultrawideband radar scanner for breast cancer detection.

Authors:  Alan W Preece; Ian Craddock; Mike Shere; Lyn Jones; Helen L Winton
Journal:  J Med Imaging (Bellingham)       Date:  2016-07-20
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