ArticleScientific reports2019
The Angular Spectrum of the Scattering Coefficient Map Reveals Subsurface Colorectal Cancer.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Characterization of the Optical Properties of Photoluminescent Turbid Media Using an Integrating Sphere and Monte Carlo Simulations.Materials (Basel, Switzerland) · 2024Article
- Deep learning classification of ex vivo human colon tissues using spectroscopic optical coherence tomography.Journal of biophotonics · 2024Article
- Diagnosing colorectal abnormalities using scattering coefficient maps acquired from optical coherence tomography.Journal of biophotonics · 2021Article
- Adaptive Boosting (AdaBoost)-based multiwavelength spatial frequency domain imaging and characterization for ex vivo human colorectal tissue assessment.Journal of biophotonics · 2020Article
- Real-time colorectal cancer diagnosis using PR-OCT with deep learning.Theranostics · 2020Article
- Histogram analysis of en face scattering coefficient map predicts malignancy in human ovarian tissue.Journal of biophotonics · 2019Article
- Co-registered photoacoustic and ultrasound imaging of human colorectal cancer.Journal of biomedical optics · 2019Article
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Authors and funding
9 authors.
Funding
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.
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Registered trials
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