The Angular Spectrum of the Scattering Coefficient Map Reveals Subsurface Colorectal Cancer

Colorectal cancer diagnosis currently relies on histological detection of endoluminal neoplasia in biopsy specimens. However, clinical visual endoscopy provides no quantitative subsurface cancer information. In this ex vivo study of nine fresh human colon specimens, we report the first use of quanti...

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Autores principales: Zeng, Yifeng, Rao, Bin, Chapman, William C., Nandy, Sreyankar, Rais, Rehan, González, Iván, Chatterjee, Deyali, Mutch, Matthew, Zhu, Quing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6395629/
https://www.ncbi.nlm.nih.gov/pubmed/30816153
http://dx.doi.org/10.1038/s41598-019-39146-w
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author Zeng, Yifeng
Rao, Bin
Chapman, William C.
Nandy, Sreyankar
Rais, Rehan
González, Iván
Chatterjee, Deyali
Mutch, Matthew
Zhu, Quing
author_facet Zeng, Yifeng
Rao, Bin
Chapman, William C.
Nandy, Sreyankar
Rais, Rehan
González, Iván
Chatterjee, Deyali
Mutch, Matthew
Zhu, Quing
author_sort Zeng, Yifeng
collection PubMed
description Colorectal cancer diagnosis currently relies on histological detection of endoluminal neoplasia in biopsy specimens. However, clinical visual endoscopy provides no quantitative subsurface cancer information. In this ex vivo study of nine fresh human colon specimens, we report the first use of quantified subsurface scattering coefficient maps acquired by swept-source optical coherence tomography to reveal subsurface abnormities. We generate subsurface scattering coefficient maps with a novel wavelet-based-curve-fitting method that provides significantly improved accuracy. The angular spectra of scattering coefficient maps of normal tissues exhibit a spatial feature distinct from those of abnormal tissues. An angular spectrum index to quantify the differences between the normal and abnormal tissues is derived, and its strength in revealing subsurface cancer in ex vivo samples is statistically analyzed. The study demonstrates that the angular spectrum of the scattering coefficient map can effectively reveal subsurface colorectal cancer and potentially provide a fast and more accurate diagnosis.
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spelling pubmed-63956292019-03-04 The Angular Spectrum of the Scattering Coefficient Map Reveals Subsurface Colorectal Cancer Zeng, Yifeng Rao, Bin Chapman, William C. Nandy, Sreyankar Rais, Rehan González, Iván Chatterjee, Deyali Mutch, Matthew Zhu, Quing Sci Rep Article Colorectal cancer diagnosis currently relies on histological detection of endoluminal neoplasia in biopsy specimens. However, clinical visual endoscopy provides no quantitative subsurface cancer information. In this ex vivo study of nine fresh human colon specimens, we report the first use of quantified subsurface scattering coefficient maps acquired by swept-source optical coherence tomography to reveal subsurface abnormities. We generate subsurface scattering coefficient maps with a novel wavelet-based-curve-fitting method that provides significantly improved accuracy. The angular spectra of scattering coefficient maps of normal tissues exhibit a spatial feature distinct from those of abnormal tissues. An angular spectrum index to quantify the differences between the normal and abnormal tissues is derived, and its strength in revealing subsurface cancer in ex vivo samples is statistically analyzed. The study demonstrates that the angular spectrum of the scattering coefficient map can effectively reveal subsurface colorectal cancer and potentially provide a fast and more accurate diagnosis. Nature Publishing Group UK 2019-02-28 /pmc/articles/PMC6395629/ /pubmed/30816153 http://dx.doi.org/10.1038/s41598-019-39146-w Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zeng, Yifeng
Rao, Bin
Chapman, William C.
Nandy, Sreyankar
Rais, Rehan
González, Iván
Chatterjee, Deyali
Mutch, Matthew
Zhu, Quing
The Angular Spectrum of the Scattering Coefficient Map Reveals Subsurface Colorectal Cancer
title The Angular Spectrum of the Scattering Coefficient Map Reveals Subsurface Colorectal Cancer
title_full The Angular Spectrum of the Scattering Coefficient Map Reveals Subsurface Colorectal Cancer
title_fullStr The Angular Spectrum of the Scattering Coefficient Map Reveals Subsurface Colorectal Cancer
title_full_unstemmed The Angular Spectrum of the Scattering Coefficient Map Reveals Subsurface Colorectal Cancer
title_short The Angular Spectrum of the Scattering Coefficient Map Reveals Subsurface Colorectal Cancer
title_sort angular spectrum of the scattering coefficient map reveals subsurface colorectal cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6395629/
https://www.ncbi.nlm.nih.gov/pubmed/30816153
http://dx.doi.org/10.1038/s41598-019-39146-w
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