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The Angular Spectrum of the Scattering Coefficient Map Reveals Subsurface Colorectal Cancer
- Source :
- Scientific Reports, Vol 9, Iss 1, Pp 1-11 (2019), Scientific Reports
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- 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.
- Subjects :
- 0301 basic medicine
Materials science
Scattering coefficient
Colon
Colorectal cancer
lcsh:Medicine
Sensitivity and Specificity
Article
03 medical and health sciences
0302 clinical medicine
Nuclear magnetic resonance
Optical coherence tomography
medicine
Humans
lcsh:Science
Multidisciplinary
medicine.diagnostic_test
lcsh:R
Cancer
Subsurface scattering
medicine.disease
3. Good health
Angular spectrum method
030104 developmental biology
Feature (computer vision)
lcsh:Q
Colorectal Neoplasms
Tomography, Optical Coherence
030217 neurology & neurosurgery
Human colon
Subjects
Details
- ISSN :
- 20452322
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....90dd27053d96d7e7e0a1514957dce719