Document Detail


Quantifying collagen structure in breast biopsies using second-harmonic generation imaging.
MedLine Citation:
PMID:  23024898     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Abstract/OtherAbstract:
Quantitative second-harmonic generation imaging is employed to assess stromal collagen in normal, hyperplastic, dysplastic, and malignant breast tissues. The cellular scale organization is quantified using Fourier transform-second harmonic generation imaging (FT-SHG), while the molecular scale organization is quantified using polarization-resolved second-harmonic generation measurements (P-SHG). In the case of FT-SHG, we apply a parameter that quantifies the regularity in collagen fiber orientation and find that malignant tissue contains locally aligned fibers compared to other tissue conditions. Alternatively, using P-SHG we calculate the ratio of tensor elements (d(15)/d(31), d(22)/d(31), and d(33)/d(31)) of the second-order susceptibility χ(2) for collagen fibers in breast biopsies. In particular, d(15)/d(31) shows potential differences across the tissue pathology. We also find that trigonal symmetry (3m) is a more appropriate model to describe collagen fibers in malignant tissues as opposed to the conventionally used hexagonal symmetry (C6). This novel method of targeting collagen fibers using a combination of two quantitative SHG techniques, FT-SHG and P-SHG, holds promise for breast tissue analysis and applications to characterizing cancer in a manner that is compatible with clinical practice.
Authors:
Raghu Ambekar; Tung-Yuen Lau; Michael Walsh; Rohit Bhargava; Kimani C Toussaint
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Publication Detail:
Type:  Journal Article     Date:  2012-08-07
Journal Detail:
Title:  Biomedical optics express     Volume:  3     ISSN:  2156-7085     ISO Abbreviation:  Biomed Opt Express     Publication Date:  2012 Sep 
Date Detail:
Created Date:  2012-10-01     Completed Date:  2012-10-02     Revised Date:  2014-10-30    
Medline Journal Info:
Nlm Unique ID:  101540630     Medline TA:  Biomed Opt Express     Country:  United States    
Other Details:
Languages:  eng     Pagination:  2021-35     Citation Subset:  -    
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MeSH Terms
Descriptor/Qualifier:
Grant Support
ID/Acronym/Agency:
R01 EB009745/EB/NIBIB NIH HHS
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