Literature DB >> 15189092

Characterization of hemoglobin, water, and NIR scattering in breast tissue: analysis of intersubject variability and menstrual cycle changes.

Brian W Pogue1, Shudong Jiang, Hamid Dehghani, Christine Kogel, Sandra Soho, Subhadra Srinivasan, Xiaomei Song, Tor D Tosteson, Steven P Poplack, Keith D Paulsen.   

Abstract

Near-infrared imaging was used to quantify typical values of hemoglobin concentration, oxygen saturation, water fraction, scattering power, and scattering amplitude within the breast tissue of volunteer subjects. A systematic study of the menstrual variations in these parameters was carried out by measuring a group of seven premenopausal normal women (aged 41 to 47 years) in the follicular (days 7 to 14 of the cycle) and secretory phases (days 21 to 28) of the cycle, for two complete menstrual cycles. An average increase in hemoglobin concentration of 2.6 microM or 13% of the background breast values was observed in the secretory phase relative to the follicular phase (p<0.0001), but no other average near-infrared parameter changes were significant. While repeatable and systematic changes were observed in all parameters for individual subjects, large intersubject variations were present in all parameters. In a survey of thirty-nine normal subjects, the total hemoglobin varied from 9 to 45 microM, with a systematic correlation observed between total hemoglobin concentration and breast radiographic density. Scattering power and scattering amplitude were also correlated with radiographic density, but oxygen saturation and water fraction were not. Images of breast lesions indicate that total hemoglobin-based contrast can be up to 200% relative to the background in the same breast. Yet, since the background hemoglobin values vary considerably among breasts, the maximum hemoglobin concentrations observed in cancer tumors may vary considerably as well. In light of these observations, it may be important to use hemoglobin contrast values relative to the background for a given breast, rather than absolute hemoglobin contrast when trying to compare the features of breast lesions among subjects. (c) 2004 Society of Photo-Optical Instrumentation Engineers.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15189092     DOI: 10.1117/1.1691028

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  54 in total

Review 1.  Going deeper than microscopy: the optical imaging frontier in biology.

Authors:  Vasilis Ntziachristos
Journal:  Nat Methods       Date:  2010-07-30       Impact factor: 28.547

2.  Optical tomography method that accounts for tilted chest wall in breast imaging.

Authors:  Yasaman Ardeshirpour; Quing Zhu
Journal:  J Biomed Opt       Date:  2010 Jul-Aug       Impact factor: 3.170

3.  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

Review 4.  Photoacoustic breast tomography prototypes with reported human applications.

Authors:  Jan Menke
Journal:  Eur Radiol       Date:  2015-02-27       Impact factor: 5.315

5.  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

Review 6.  Advances in optical spectroscopy and imaging of breast lesions.

Authors:  Stavros G Demos; Abby J Vogel; Amir H Gandjbakhche
Journal:  J Mammary Gland Biol Neoplasia       Date:  2006-04       Impact factor: 2.673

7.  Assessing the future of diffuse optical imaging technologies for breast cancer management.

Authors:  Bruce J Tromberg; Brian W Pogue; Keith D Paulsen; Arjun G Yodh; David A Boas; Albert E Cerussi
Journal:  Med Phys       Date:  2008-06       Impact factor: 4.071

8.  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

Review 9.  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

10.  An automatic occlusion device for remote control of tumor tissue ischemia.

Authors:  Hamid El-Dahdah; Bei Wang; Guanglong He; Ronald X Xu
Journal:  Technol Cancer Res Treat       Date:  2010-02
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.