Literature DB >> 14514888

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

Subhadra Srinivasan1, Brian W Pogue, Shudong Jiang, Hamid Dehghani, Christine Kogel, Sandra Soho, Jennifer J Gibson, Tor D Tosteson, Steven P Poplack, Keith D Paulsen.   

Abstract

Near-infrared spectroscopic tomography was used to measure the properties of 24 mammographically normal breasts to quantify whole-breast absorption and scattering spectra and to evaluate which tissue composition characteristics can be determined from these spectra. The absorption spectrum of breast tissue allows quantification of (i) total hemoglobin concentration, (ii) hemoglobin oxygen saturation, and (iii) water concentration, whereas the scattering spectrum provides information about the size and number density of cellular components and structural matrix elements. These property data were tested for correlation to demographic information, including subject age, body mass index, breast size, and radiographic density. Total hemoglobin concentration correlated inversely to body mass index, likely because lower body mass indicates proportionately less fat and more glandular tissue, and glandular tissue contains greater vascularity, hence, more total hemoglobin. Optical scattering was correlated to breast diameter, subject age, and radiographic density. In the radiographic density, fatty breasts had low scattering power and extremely dense breasts had higher values. This observation is consistent with low attenuation of conventional x-rays with fat and higher attenuation in glandular tissues. Optically, fatty tissues have large scatterers leading to a low scattering power, whereas glandular or fibrous tissues have more cellular and collagen-based structures that lead to high scattering power. The study presents correlative data supporting the hypothesis that optical measurements of absorption and scattering can provide physiologically relevant information about breast tissue composition. These breast constituents vary significantly between individuals and can be altered because of changes in breast physiology or pathological state.

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Year:  2003        PMID: 14514888      PMCID: PMC218761          DOI: 10.1073/pnas.2032822100

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


  25 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.  Three-dimensional optical tomography: resolution in small-object imaging.

Authors:  Hamid Dehghani; Brian W Pogue; Jiang Shudong; Ben Brooksby; Keith D Paulsen
Journal:  Appl Opt       Date:  2003-06-01       Impact factor: 1.980

3.  Bulk optical properties of healthy female breast tissue.

Authors:  T Durduran; R Choe; J P Culver; L Zubkov; M J Holboke; J Giammarco; B Chance; A G Yodh
Journal:  Phys Med Biol       Date:  2002-08-21       Impact factor: 3.609

4.  Spectroscopic diffuse optical tomography for the quantitative assessment of hemoglobin concentration and oxygen saturation in breast tissue.

Authors:  T O McBride; B W Pogue; E D Gerety; S B Poplack; U L Osterberg; K D Paulsen
Journal:  Appl Opt       Date:  1999-09-01       Impact factor: 1.980

5.  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

6.  Identification and quantification of intrinsic optical contrast for near-infrared mammography.

Authors:  V Quaresima; S J Matcher; M Ferrari
Journal:  Photochem Photobiol       Date:  1998-01       Impact factor: 3.421

Review 7.  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

8.  Noninvasive functional optical spectroscopy of human breast tissue.

Authors:  N Shah; A Cerussi; C Eker; J Espinoza; J Butler; J Fishkin; R Hornung; B Tromberg
Journal:  Proc Natl Acad Sci U S A       Date:  2001-04-03       Impact factor: 11.205

9.  Noninvasive investigation of blood oxygenation dynamics of tumors by near-infrared spectroscopy.

Authors:  H Liu; Y Song; K L Worden; X Jiang; A Constantinescu; R P Mason
Journal:  Appl Opt       Date:  2000-10-01       Impact factor: 1.980

10.  Carbogen-induced changes in rat mammary tumour oxygenation reported by near infrared spectroscopy.

Authors:  E L Hull; D L Conover; T H Foster
Journal:  Br J Cancer       Date:  1999-04       Impact factor: 7.640

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  72 in total

1.  Estimate of tissue composition in malignant and benign breast lesions by time-domain optical mammography.

Authors:  Giovanna Quarto; Lorenzo Spinelli; Antonio Pifferi; Alessandro Torricelli; Rinaldo Cubeddu; Francesca Abbate; Nicola Balestreri; Simona Menna; Enrico Cassano; Paola Taroni
Journal:  Biomed Opt Express       Date:  2014-09-18       Impact factor: 3.732

Review 2.  A review of in-vivo optical properties of human tissues and its impact on PDT.

Authors:  Julia L Sandell; Timothy C Zhu
Journal:  J Biophotonics       Date:  2011-11       Impact factor: 3.207

3.  Comprehensive investigation of three-dimensional diffuse optical tomography with depth compensation algorithm.

Authors:  Haijing Niu; Zi-Jing Lin; Fenghua Tian; Sameer Dhamne; Hanli Liu
Journal:  J Biomed Opt       Date:  2010 Jul-Aug       Impact factor: 3.170

4.  Characterizing accuracy of total hemoglobin recovery using contrast-detail analysis in 3D image-guided near infrared spectroscopy with the boundary element method.

Authors:  Hamid R Ghadyani; Subhadra Srinivasan; Brian W Pogue; Keith D Paulsen
Journal:  Opt Express       Date:  2010-07-19       Impact factor: 3.894

5.  Dynamic physiological modeling for functional diffuse optical tomography.

Authors:  Solomon Gilbert Diamond; Theodore J Huppert; Ville Kolehmainen; Maria Angela Franceschini; Jari P Kaipio; Simon R Arridge; David A Boas
Journal:  Neuroimage       Date:  2005-10-20       Impact factor: 6.556

6.  Tomographic bioluminescence imaging by use of a combined optical-PET (OPET) system: a computer simulation feasibility study.

Authors:  George Alexandrakis; Fernando R Rannou; Arion F Chatziioannou
Journal:  Phys Med Biol       Date:  2005-08-24       Impact factor: 3.609

7.  Imaging breast adipose and fibroglandular tissue molecular signatures by using hybrid MRI-guided near-infrared spectral tomography.

Authors:  Ben Brooksby; Brian W Pogue; Shudong Jiang; Hamid Dehghani; Subhadra Srinivasan; Christine Kogel; Tor D Tosteson; John Weaver; Steven P Poplack; Keith D Paulsen
Journal:  Proc Natl Acad Sci U S A       Date:  2006-05-26       Impact factor: 11.205

8.  Adaptable near-infrared spectroscopy fiber array for improved coupling to different breast sizes during clinical MRI.

Authors:  Michael A Mastanduno; Fadi El-Ghussein; Shudong Jiang; Roberta Diflorio-Alexander; Xu Junqing; Yin Hong; Brian W Pogue; Keith D Paulsen
Journal:  Acad Radiol       Date:  2014-02       Impact factor: 3.173

9.  Quantitative optical spectroscopy: a robust tool for direct measurement of breast cancer vascular oxygenation and total hemoglobin content in vivo.

Authors:  J Quincy Brown; Lee G Wilke; Joseph Geradts; Stephanie A Kennedy; Gregory M Palmer; Nirmala Ramanujam
Journal:  Cancer Res       Date:  2009-03-17       Impact factor: 12.701

Review 10.  Optical tomography of breast cancer-monitoring response to primary medical therapy.

Authors:  Louise C Enfield; Adam P Gibson; Jeremy C Hebden; Michael Douek
Journal:  Target Oncol       Date:  2009-09-24       Impact factor: 4.493

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