Literature DB >> 11287650

Noninvasive functional optical spectroscopy of human breast tissue.

N Shah1, A Cerussi, C Eker, J Espinoza, J Butler, J Fishkin, R Hornung, B Tromberg.   

Abstract

Near infrared diffuse optical spectroscopy and diffuse optical imaging are promising methods that eventually may enhance or replace existing technologies for breast cancer screening and diagnosis. These techniques are based on highly sensitive, quantitative measurements of optical and functional contrast between healthy and diseased tissue. In this study, we examine whether changes in breast physiology caused by exogenous hormones, aging, and fluctuations during the menstrual cycle result in significant alterations in breast tissue optical contrast. A noninvasive quantitative diffuse optical spectroscopy technique, frequency-domain photon migration, was used. Measurements were performed on 14 volunteer subjects by using a hand-held probe. Intrinsic tissue absorption and reduced scattering parameters were calculated from frequency-domain photon migration data. Wavelength-dependent absorption (at 674, 803, 849, and 956 nm) was used to determine tissue concentration of oxyhemoglobin, deoxyhemoglobin, total hemoglobin, tissue hemoglobin oxygen saturation, and bulk water content. Results show significant and dramatic differences in optical properties between menopausal states. Average premenopausal intrinsic tissue absorption and reduced scattering values at each wavelength are 2.5- to 3-fold higher and 16-28 % greater, respectively, than absorption and scattering for postmenopausal subjects. Absorption and scattering properties for women using hormone replacement therapy are intermediate between premenopausal and postmenopausal populations. Physiological properties show differences in mean total hemoglobin (7.0 microM, 11.8 microM, and 19.2 microM) and water concentration relative to pure water (10.9 %, 15.3 %, and 27.3 %) for postmenopausal, hormone replacement therapy, and premenopausal subjects, respectively. Because of their unique, quantitative information content, diffuse optical methods may play an important role in breast diagnostics and improving our understanding of breast disease.

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Year:  2001        PMID: 11287650      PMCID: PMC31850          DOI: 10.1073/pnas.071511098

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  35 in total

1.  Effects of the menstrual cycle on the red and near-infrared optical properties of the human breast.

Authors:  R Cubeddu; C D'Andrea; A Pifferi; P Taroni; A Torricelli; G Valentini
Journal:  Photochem Photobiol       Date:  2000-09       Impact factor: 3.421

2.  Quantitative measurement of optical parameters in normal breasts using time-resolved spectroscopy: in vivo results of 30 Japanese women.

Authors:  K Suzuki; Y Yamashita; K Ohta; M Kaneko; M Yoshida; B Chance
Journal:  J Biomed Opt       Date:  1996-07       Impact factor: 3.170

3.  Hormone replacement therapy increases the risk of breast cancer.

Authors:  G A Colditz
Journal:  Ann N Y Acad Sci       Date:  1997-12-29       Impact factor: 5.691

4.  Frequency-domain techniques enhance optical mammography: initial clinical results.

Authors:  M A Franceschini; K T Moesta; S Fantini; G Gaida; E Gratton; H Jess; W W Mantulin; M Seeber; P M Schlag; M Kaschke
Journal:  Proc Natl Acad Sci U S A       Date:  1997-06-10       Impact factor: 11.205

Review 5.  The breast and the menopause.

Authors:  B G Wren
Journal:  Baillieres Clin Obstet Gynaecol       Date:  1996-09

6.  Boundary conditions for the diffusion equation in radiative transfer.

Authors:  R C Haskell; L O Svaasand; T T Tsay; T C Feng; M S McAdams; B J Tromberg
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  1994-10       Impact factor: 2.129

7.  Quantitative measurement of optical parameters in the breast using time-resolved spectroscopy. Phantom and preliminary in vivo results.

Authors:  K Suzuki; Y Yamashita; K Ohta; B Chance
Journal:  Invest Radiol       Date:  1994-04       Impact factor: 6.016

8.  The effect of hormone replacement therapy on the sensitivity of screening mammograms.

Authors:  J C Litherland; S Stallard; D Hole; C Cordiner
Journal:  Clin Radiol       Date:  1999-05       Impact factor: 2.350

9.  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

10.  Mammographic parenchymal features and breast cancer in the breast cancer detection demonstration project.

Authors:  J Brisson; A S Morrison; N Khalid
Journal:  J Natl Cancer Inst       Date:  1988-12-07       Impact factor: 13.506

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  73 in total

1.  Near-infrared spiroximetry: noninvasive measurements of venous saturation in piglets and human subjects.

Authors:  Maria Angela Franceschini; David A Boas; Anna Zourabian; Solomon G Diamond; Shalini Nadgir; David W Lin; John B Moore; Sergio Fantini
Journal:  J Appl Physiol (1985)       Date:  2002-01

2.  Interpreting hemoglobin and water concentration, oxygen saturation, and scattering measured in vivo by near-infrared breast tomography.

Authors:  Subhadra Srinivasan; Brian W Pogue; Shudong Jiang; Hamid Dehghani; Christine Kogel; Sandra Soho; Jennifer J Gibson; Tor D Tosteson; Steven P Poplack; Keith D Paulsen
Journal:  Proc Natl Acad Sci U S A       Date:  2003-09-26       Impact factor: 11.205

3.  Three-dimensional, Bayesian image reconstruction from sparse and noisy data sets: near-infrared fluorescence tomography.

Authors:  Margaret J Eppstein; Daniel J Hawrysz; Anuradha Godavarty; Eva M Sevick-Muraca
Journal:  Proc Natl Acad Sci U S A       Date:  2002-07-08       Impact factor: 11.205

4.  Investigation of a diffuse optical measurements-assisted quantitative photoacoustic tomographic method in reflection geometry.

Authors:  Chen Xu; Patrick D Kumavor; Andres Aguirre; Quing Zhu
Journal:  J Biomed Opt       Date:  2012-06       Impact factor: 3.170

5.  Breast cancer spatial heterogeneity in near-infrared spectra and the prediction of neoadjuvant chemotherapy response.

Authors:  Ylenia Santoro; Anaïs Leproux; Albert Cerussi; Bruce Tromberg; Enrico Gratton
Journal:  J Biomed Opt       Date:  2011-09       Impact factor: 3.170

6.  Application of spectral derivative data in visible and near-infrared spectroscopy.

Authors:  Hamid Dehghani; Frederic Leblond; Brian W Pogue; Fabien Chauchard
Journal:  Phys Med Biol       Date:  2010-05-26       Impact factor: 3.609

7.  Diagnosing breast cancer by using Raman spectroscopy.

Authors:  Abigail S Haka; Karen E Shafer-Peltier; Maryann Fitzmaurice; Joseph Crowe; Ramachandra R Dasari; Michael S Feld
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-22       Impact factor: 11.205

8.  Quantitative near infrared spectroscopic analysis of Q-Switched Nd:YAG treatment of generalized argyria.

Authors:  Rolf B Saager; Khaled M Hassan; Clement Kondru; Anthony J Durkin; Kristen M Kelly
Journal:  Lasers Surg Med       Date:  2013-01-15       Impact factor: 4.025

9.  Nanoshell-mediated near-infrared thermal therapy of tumors under magnetic resonance guidance.

Authors:  L R Hirsch; R J Stafford; J A Bankson; S R Sershen; B Rivera; R E Price; J D Hazle; N J Halas; J L West
Journal:  Proc Natl Acad Sci U S A       Date:  2003-11-03       Impact factor: 11.205

10.  Predicting Responses to Neoadjuvant Chemotherapy in Breast Cancer: ACRIN 6691 Trial of Diffuse Optical Spectroscopic Imaging.

Authors:  Bruce J Tromberg; Zheng Zhang; Anaïs Leproux; Thomas D O'Sullivan; Albert E Cerussi; Philip M Carpenter; Rita S Mehta; Darren Roblyer; Wei Yang; Keith D Paulsen; Brian W Pogue; Shudong Jiang; Peter A Kaufman; Arjun G Yodh; So Hyun Chung; Mitchell Schnall; Bradley S Snyder; Nola Hylton; David A Boas; Stefan A Carp; Steven J Isakoff; David Mankoff
Journal:  Cancer Res       Date:  2016-08-15       Impact factor: 12.701

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