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06:01
A Genetically Engineered Mouse Model of Sporadic Colorectal Cancer
Published on: July 6, 2017
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The Angular Spectrum of the Scattering Coefficient Map Reveals Subsurface Colorectal Cancer
Yifeng Zeng1, Bin Rao1, William C Chapman2
1Department of Biomedical Engineering, Washington University, St. Louis, MO, USA.
Scientific Reports
|March 1, 2019
Summary
This study introduces quantified subsurface scattering coefficient maps using swept-source optical coherence tomography for detecting colorectal cancer. This novel method reveals distinct tissue features, potentially improving diagnostic accuracy.
Area of Science:
- Biomedical Optics
- Medical Imaging
- Gastroenterology
Background:
- Current colorectal cancer diagnosis relies on histology of biopsy specimens.
- Clinical visual endoscopy lacks quantitative subsurface information.
- Need for advanced imaging techniques for early cancer detection.
Purpose of the Study:
- To introduce quantified subsurface scattering coefficient maps using swept-source optical coherence tomography (SS-OCT).
- To develop a novel wavelet-based-curve-fitting method for accurate map generation.
- To assess the capability of these maps in distinguishing normal from abnormal colorectal tissues.
Main Methods:
- Ex vivo study of nine human colon specimens.
- Acquisition of subsurface scattering coefficient maps using SS-OCT.
- Development of a wavelet-based-curve-fitting algorithm for map generation.
- Analysis of angular spectra of scattering coefficient maps.
- Derivation of an angular spectrum index for tissue differentiation.
Main Results:
- Successfully generated quantified subsurface scattering coefficient maps.
- Identified distinct spatial features in angular spectra between normal and abnormal tissues.
- Demonstrated statistical significance in differentiating subsurface colorectal cancer in ex vivo samples.
- The novel method showed improved accuracy in revealing subsurface abnormalities.
Conclusions:
- Quantified subsurface scattering coefficient maps effectively reveal subsurface colorectal cancer.
- Angular spectrum analysis of these maps offers a promising approach for cancer detection.
- This technique has the potential to provide faster and more accurate colorectal cancer diagnosis.
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