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Correlation of breast tissue histology and optical signatures to improve margin assessment techniques.

Publication ,  Journal Article
Kennedy, S; Caldwell, M; Bydlon, T; Mulvey, C; Mueller, J; Wilke, L; Barry, W; Ramanujam, N; Geradts, J
Published in: J Biomed Opt
June 1, 2016

Optical spectroscopy is sensitive to morphological composition and has potential applications in intraoperative margin assessment. Here, we evaluate ex vivo breast tissue and corresponding quantified hematoxylin & eosin images to correlate optical scattering signatures to tissue composition stratified by patient characteristics. Adipose sites (213) were characterized by their cell area and density. All other benign and malignant sites (181) were quantified using a grid method to determine composition. The relationships between mean reduced scattering coefficient (〈μs′〉), and % adipose, % collagen, % glands, adipocyte cell area, and adipocyte density were investigated. These relationships were further stratified by age, menopausal status, body mass index (BMI), and breast density. We identified a positive correlation between 〈μs′〉 and % collagen and a negative correlation between 〈μs′〉 and age and BMI. Increased collagen corresponded to increased 〈μs′〉 variability. In postmenopausal women, 〈μs′〉 was similar regardless of fibroglandular content. Contributions from collagen and glands to 〈μs′〉 were independent and equivalent in benign sites; glands showed a stronger positive correlation than collagen to 〈μs′〉 in malignant sites. Our data suggest that scattering could differentiate highly scattering malignant from benign tissues in postmenopausal women. The relationship between scattering and tissue composition will support improved scattering models and technologies to enhance intraoperative optical margin assessment.

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Published In

J Biomed Opt

DOI

EISSN

1560-2281

Publication Date

June 1, 2016

Volume

21

Issue

6

Start / End Page

66014

Location

United States

Related Subject Headings

  • Spectrum Analysis
  • Postmenopause
  • Optics
  • Humans
  • Histological Techniques
  • Female
  • Breast Neoplasms
  • Body Mass Index
  • Age Factors
  • Adipose Tissue
 

Citation

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Kennedy, S., Caldwell, M., Bydlon, T., Mulvey, C., Mueller, J., Wilke, L., … Geradts, J. (2016). Correlation of breast tissue histology and optical signatures to improve margin assessment techniques. J Biomed Opt, 21(6), 66014. https://doi.org/10.1117/1.JBO.21.6.066014
Kennedy, Stephanie, Matthew Caldwell, Torre Bydlon, Christine Mulvey, Jenna Mueller, Lee Wilke, William Barry, Nimmi Ramanujam, and Joseph Geradts. “Correlation of breast tissue histology and optical signatures to improve margin assessment techniques.J Biomed Opt 21, no. 6 (June 1, 2016): 66014. https://doi.org/10.1117/1.JBO.21.6.066014.
Kennedy S, Caldwell M, Bydlon T, Mulvey C, Mueller J, Wilke L, et al. Correlation of breast tissue histology and optical signatures to improve margin assessment techniques. J Biomed Opt. 2016 Jun 1;21(6):66014.
Kennedy, Stephanie, et al. “Correlation of breast tissue histology and optical signatures to improve margin assessment techniques.J Biomed Opt, vol. 21, no. 6, June 2016, p. 66014. Pubmed, doi:10.1117/1.JBO.21.6.066014.
Kennedy S, Caldwell M, Bydlon T, Mulvey C, Mueller J, Wilke L, Barry W, Ramanujam N, Geradts J. Correlation of breast tissue histology and optical signatures to improve margin assessment techniques. J Biomed Opt. 2016 Jun 1;21(6):66014.

Published In

J Biomed Opt

DOI

EISSN

1560-2281

Publication Date

June 1, 2016

Volume

21

Issue

6

Start / End Page

66014

Location

United States

Related Subject Headings

  • Spectrum Analysis
  • Postmenopause
  • Optics
  • Humans
  • Histological Techniques
  • Female
  • Breast Neoplasms
  • Body Mass Index
  • Age Factors
  • Adipose Tissue