Literature DB >> 18838370

Electromagnetic spectroscopy of normal breast tissue specimens obtained from reduction surgeries: comparison of optical and microwave properties.

Mariya Lazebnik1, Changfang Zhu, Gregory M Palmer, Josephine Harter, Sarah Sewall, Nirmala Ramanujam, Susan C Hagness.   

Abstract

Techniques utilizing electromagnetic energy at microwave and optical frequencies have been shown to be promising for breast cancer detection and diagnosis. Since different biophysical mechanisms are exploited at these frequencies to discriminate between healthy and diseased tissue, combining these two modalities may result in a more powerful approach for breast cancer detection and diagnosis. Toward this end, we performed microwave dielectric spectroscopy and optical diffuse reflectance spectroscopy measurements at the same sites on freshly excised normal breast tissues obtained from reduction surgeries at the University of Wisconsin Hospital, using microwave and optical probes with very similar sensing volumes. We found that the microwave dielectric constant and effective conductivity are correlated with tissue composition across the entire measurement frequency range (|r| approximately 0.5-0.6, p<0.01) and that the optical absorption coefficient at 460 nm and optical scattering coefficient are correlated with tissue composition (|r| approximately 0.4-0.6, p<0.02). Finally, we found that the optical absorption coefficient at 460 nm is correlated with the microwave dielectric constant and effective conductivity (r=-0.55, p<0.01). Our results suggest that combining optical and microwave modalities for analyzing breast tissue samples may serve as a crosscheck and provide complementary information about tissue composition.

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Year:  2008        PMID: 18838370      PMCID: PMC2828290          DOI: 10.1109/TBME.2008.925700

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  31 in total

1.  Microwave breast imaging: 3-D forward scattering simulation.

Authors:  Zhong Qing Zhang; Qing Huo Liu; Chunjiang Xiao; Erika Ward; Gary Ybarra; William T Joines
Journal:  IEEE Trans Biomed Eng       Date:  2003-10       Impact factor: 4.538

2.  Optical properties of normal and diseased human breast tissues in the visible and near infrared.

Authors:  V G Peters; D R Wyman; M S Patterson; G L Frank
Journal:  Phys Med Biol       Date:  1990-09       Impact factor: 3.609

3.  Initial clinical experience with microwave breast imaging in women with normal mammography.

Authors:  Paul M Meaney; Margaret W Fanning; Timothy Raynolds; Colleen J Fox; Qianqian Fang; Christine A Kogel; Steven P Poplack; Keith D Paulsen
Journal:  Acad Radiol       Date:  2007-02       Impact factor: 3.173

4.  Measurement of optical transport properties of normal and malignant human breast tissue.

Authors:  N Ghosh; S K Mohanty; S K Majumder; P K Gupta
Journal:  Appl Opt       Date:  2001-01-01       Impact factor: 1.980

5.  A large-scale study of the ultrawideband microwave dielectric properties of normal, benign and malignant breast tissues obtained from cancer surgeries.

Authors:  Mariya Lazebnik; Dijana Popovic; Leah McCartney; Cynthia B Watkins; Mary J Lindstrom; Josephine Harter; Sarah Sewall; Travis Ogilvie; Anthony Magliocco; Tara M Breslin; Walley Temple; Daphne Mew; John H Booske; Michal Okoniewski; Susan C Hagness
Journal:  Phys Med Biol       Date:  2007-10-01       Impact factor: 3.609

6.  The dielectric properties of biological tissues: III. Parametric models for the dielectric spectrum of tissues.

Authors:  S Gabriel; R W Lau; C Gabriel
Journal:  Phys Med Biol       Date:  1996-11       Impact factor: 3.609

7.  Ten-year risk of false positive screening mammograms and clinical breast examinations.

Authors:  J G Elmore; M B Barton; V M Moceri; S Polk; P J Arena; S W Fletcher
Journal:  N Engl J Med       Date:  1998-04-16       Impact factor: 91.245

Review 8.  Physiological and pathological factors of human breast disease that can influence optical diagnosis.

Authors:  S Thomsen; D Tatman
Journal:  Ann N Y Acad Sci       Date:  1998-02-09       Impact factor: 5.691

9.  Diagnosis of breast cancer using fluorescence and diffuse reflectance spectroscopy: a Monte-Carlo-model-based approach.

Authors:  Changfang Zhu; Gregory M Palmer; Tara M Breslin; Josephine Harter; Nirmala Ramanujam
Journal:  J Biomed Opt       Date:  2008 May-Jun       Impact factor: 3.170

Review 10.  The false-negative mammogram.

Authors:  P T Huynh; A M Jarolimek; S Daye
Journal:  Radiographics       Date:  1998 Sep-Oct       Impact factor: 5.333

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  3 in total

Review 1.  Magnetic-resonance-based electrical properties tomography: a review.

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

2.  Non-invasive monitoring of intra-tumor drug concentration and therapeutic response using optical spectroscopy.

Authors:  Gregory M Palmer; Richard J Boruta; Benjamin L Viglianti; Lan Lan; Ivan Spasojevic; Mark W Dewhirst
Journal:  J Control Release       Date:  2009-11-05       Impact factor: 9.776

3.  Ultra-wideband sensors for improved magnetic resonance imaging, cardiovascular monitoring and tumour diagnostics.

Authors:  Florian Thiel; Olaf Kosch; Frank Seifert
Journal:  Sensors (Basel)       Date:  2010-12-02       Impact factor: 3.576

  3 in total

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