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Optical Spectral Surveillance of Breast Tissue Landscapes for Detection of Residual Disease in Breast Tumor Margins

We demonstrate a strategy to “sense” the micro-morphology of a breast tumor margin over a wide field of view by creating quantitative hyperspectral maps of the tissue optical properties (absorption and scattering), where each voxel can be deconstructed to provide information on the underlying histol...

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Autores principales: Brown, J. Quincy, Bydlon, Torre M., Kennedy, Stephanie A., Caldwell, Matthew L., Gallagher, Jennifer E., Junker, Marlee, Wilke, Lee G., Barry, William T., Geradts, Joseph, Ramanujam, Nimmi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3724737/
https://www.ncbi.nlm.nih.gov/pubmed/23922850
http://dx.doi.org/10.1371/journal.pone.0069906
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author Brown, J. Quincy
Bydlon, Torre M.
Kennedy, Stephanie A.
Caldwell, Matthew L.
Gallagher, Jennifer E.
Junker, Marlee
Wilke, Lee G.
Barry, William T.
Geradts, Joseph
Ramanujam, Nimmi
author_facet Brown, J. Quincy
Bydlon, Torre M.
Kennedy, Stephanie A.
Caldwell, Matthew L.
Gallagher, Jennifer E.
Junker, Marlee
Wilke, Lee G.
Barry, William T.
Geradts, Joseph
Ramanujam, Nimmi
author_sort Brown, J. Quincy
collection PubMed
description We demonstrate a strategy to “sense” the micro-morphology of a breast tumor margin over a wide field of view by creating quantitative hyperspectral maps of the tissue optical properties (absorption and scattering), where each voxel can be deconstructed to provide information on the underlying histology. Information about the underlying tissue histology is encoded in the quantitative spectral information (in the visible wavelength range), and residual carcinoma is detected as a shift in the histological landscape to one with less fat and higher glandular content. To demonstrate this strategy, fully intact, fresh lumpectomy specimens (n = 88) from 70 patients were imaged intra-operatively. The ability of spectral imaging to sense changes in histology over large imaging areas was determined using inter-patient mammographic breast density (MBD) variation in cancer-free tissues as a model system. We discovered that increased MBD was associated with higher baseline β-carotene concentrations (p = 0.066) and higher scattering coefficients (p = 0.007) as measured by spectral imaging, and a trend toward decreased adipocyte size and increased adipocyte density as measured by histological examination in BMI-matched patients. The ability of spectral imaging to detect cancer intra-operatively was demonstrated when MBD-specific breast characteristics were considered. Specifically, the ratio of β-carotene concentration to the light scattering coefficient can report on the relative amount of fat to glandular density at the tissue surface to determine positive margin status, when baseline differences in these parameters between patients with low and high MBD are taken into account by the appropriate selection of threshold values. When MBD was included as a variable a priori, the device was estimated to have a sensitivity of 74% and a specificity of 86% in detecting close or positive margins, regardless of tumor type. Superior performance was demonstrated in high MBD tissue, a population that typically has a higher percentage of involved margins.
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spelling pubmed-37247372013-08-06 Optical Spectral Surveillance of Breast Tissue Landscapes for Detection of Residual Disease in Breast Tumor Margins Brown, J. Quincy Bydlon, Torre M. Kennedy, Stephanie A. Caldwell, Matthew L. Gallagher, Jennifer E. Junker, Marlee Wilke, Lee G. Barry, William T. Geradts, Joseph Ramanujam, Nimmi PLoS One Research Article We demonstrate a strategy to “sense” the micro-morphology of a breast tumor margin over a wide field of view by creating quantitative hyperspectral maps of the tissue optical properties (absorption and scattering), where each voxel can be deconstructed to provide information on the underlying histology. Information about the underlying tissue histology is encoded in the quantitative spectral information (in the visible wavelength range), and residual carcinoma is detected as a shift in the histological landscape to one with less fat and higher glandular content. To demonstrate this strategy, fully intact, fresh lumpectomy specimens (n = 88) from 70 patients were imaged intra-operatively. The ability of spectral imaging to sense changes in histology over large imaging areas was determined using inter-patient mammographic breast density (MBD) variation in cancer-free tissues as a model system. We discovered that increased MBD was associated with higher baseline β-carotene concentrations (p = 0.066) and higher scattering coefficients (p = 0.007) as measured by spectral imaging, and a trend toward decreased adipocyte size and increased adipocyte density as measured by histological examination in BMI-matched patients. The ability of spectral imaging to detect cancer intra-operatively was demonstrated when MBD-specific breast characteristics were considered. Specifically, the ratio of β-carotene concentration to the light scattering coefficient can report on the relative amount of fat to glandular density at the tissue surface to determine positive margin status, when baseline differences in these parameters between patients with low and high MBD are taken into account by the appropriate selection of threshold values. When MBD was included as a variable a priori, the device was estimated to have a sensitivity of 74% and a specificity of 86% in detecting close or positive margins, regardless of tumor type. Superior performance was demonstrated in high MBD tissue, a population that typically has a higher percentage of involved margins. Public Library of Science 2013-07-26 /pmc/articles/PMC3724737/ /pubmed/23922850 http://dx.doi.org/10.1371/journal.pone.0069906 Text en © 2013 Brown et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Brown, J. Quincy
Bydlon, Torre M.
Kennedy, Stephanie A.
Caldwell, Matthew L.
Gallagher, Jennifer E.
Junker, Marlee
Wilke, Lee G.
Barry, William T.
Geradts, Joseph
Ramanujam, Nimmi
Optical Spectral Surveillance of Breast Tissue Landscapes for Detection of Residual Disease in Breast Tumor Margins
title Optical Spectral Surveillance of Breast Tissue Landscapes for Detection of Residual Disease in Breast Tumor Margins
title_full Optical Spectral Surveillance of Breast Tissue Landscapes for Detection of Residual Disease in Breast Tumor Margins
title_fullStr Optical Spectral Surveillance of Breast Tissue Landscapes for Detection of Residual Disease in Breast Tumor Margins
title_full_unstemmed Optical Spectral Surveillance of Breast Tissue Landscapes for Detection of Residual Disease in Breast Tumor Margins
title_short Optical Spectral Surveillance of Breast Tissue Landscapes for Detection of Residual Disease in Breast Tumor Margins
title_sort optical spectral surveillance of breast tissue landscapes for detection of residual disease in breast tumor margins
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3724737/
https://www.ncbi.nlm.nih.gov/pubmed/23922850
http://dx.doi.org/10.1371/journal.pone.0069906
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