Literature DB >> 15901954

Characterization of normal breast tissue heterogeneity using time-resolved near-infrared spectroscopy.

Tomas Svensson1, Johannes Swartling, Paola Taroni, Alessandro Torricelli, Pia Lindblom, Christian Ingvar, Stefan Andersson-Engels.   

Abstract

In recent years, extensive efforts have been made in developing near-infrared optical techniques to be used in detection and diagnosis of breast cancer. Variations in optical properties of normal breast tissue set limits to the performance of such techniques and must therefore be thoroughly examined. In this paper, we present intra- and intersubject as well as contralateral variations of optical and physiological properties in breast tissue as measured by using four-wavelength time-resolved spectroscopy (at 660, 786, 916 and 974 nm). In total, 36 volunteers were examined at five regions at each breast. Optical properties (absorption, mu(a), and reduced scattering, mu'(s)) are derived by employing diffusion theory. The use of four wavelengths enables determination of main tissue chromophores (haemoglobin, water and lipids) as well as haemoglobin oxygenation. Variations in all evaluated properties seen over the entire breast are approximately twice those for small-scale heterogeneity (millimetre scale). Intrasubject variations in optical properties are almost in all cases below 20% for mu'(s), and 40% for mu(a). Overall variations in water, lipid and haemoglobin concentrations are all in the order of 20%. Oxygenation is the least variable of the quantities evaluated, overall intrasubject variations being 6% on average. Extracted physiological properties confirm differences between pre- and post-menopausal breast tissue. Results do not indicate systematic differences between left and right breasts.

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Year:  2005        PMID: 15901954     DOI: 10.1088/0031-9155/50/11/008

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


  10 in total

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

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Journal:  J Biomed Opt       Date:  2010 Jul-Aug       Impact factor: 3.170

2.  Analysis of the potential for non-invasive imaging of oxygenation at heart depth, using ultrasound optical tomography (UOT) or photo-acoustic tomography (PAT).

Authors:  Andreas Walther; Lars Rippe; Lihong V Wang; Stefan Andersson-Engels; Stefan Kröll
Journal:  Biomed Opt Express       Date:  2017-09-19       Impact factor: 3.732

3.  Improving breast cancer diagnosis by reducing chest wall effect in diffuse optical tomography.

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Journal:  J Biomed Opt       Date:  2017-03-01       Impact factor: 3.170

4.  Using DRS during breast conserving surgery: identifying robust optical parameters and influence of inter-patient variation.

Authors:  Lisanne L de Boer; Benno H W Hendriks; Frederieke van Duijnhoven; Marie-Jeanne T F D Vrancken Peeters-Baas; Koen Van de Vijver; Claudette E Loo; Katarzyna Jóźwiak; Henricus J C M Sterenborg; Theo J M Ruers
Journal:  Biomed Opt Express       Date:  2016-11-17       Impact factor: 3.732

5.  In vivo quantitative imaging of normal and cancerous breast tissue using broadband diffuse optical tomography.

Authors:  Jia Wang; Shudong Jiang; Zhongze Li; Roberta M diFlorio-Alexander; Richard J Barth; Peter A Kaufman; Brian W Pogue; Keith D Paulsen
Journal:  Med Phys       Date:  2010-07       Impact factor: 4.071

6.  Feasibility of near-infrared diffuse optical spectroscopy on patients undergoing imageguided core-needle biopsy.

Authors:  Bing Yu; Elizabeth S Burnside; Gale A Sisney; Josephine M Harter; Changfang Zhu; Al-Hafeez Dhalla; Nirmala Ramanujam
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8.  Dynamic tissue analysis using time- and wavelength-resolved fluorescence spectroscopy for atherosclerosis diagnosis.

Authors:  Yinghua Sun; Yang Sun; Douglas Stephens; Hongtao Xie; Jennifer Phipps; Ramez Saroufeem; Jeffrey Southard; Daniel S Elson; Laura Marcu
Journal:  Opt Express       Date:  2011-02-28       Impact factor: 3.894

9.  Non-randomness of the anatomical distribution of tumors.

Authors:  Clare Yu; James Kameron Mitchell
Journal:  Cancer Converg       Date:  2017-12-19

10.  A prospective pilot clinical trial evaluating the utility of a dynamic near-infrared imaging device for characterizing suspicious breast lesions.

Authors:  Ronald X Xu; Donn C Young; Jimmy J Mao; Stephen P Povoski
Journal:  Breast Cancer Res       Date:  2007       Impact factor: 6.466

  10 in total

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