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First experience in clinical application of hyperspectral endoscopy for evaluation of colonic polypsoa mark
  • Yoon, Jonghee ;
  • Joseph, James ;
  • Waterhouse, Dale J. ;
  • Borzy, Charlie ;
  • Siemens, Kyla ;
  • Diamond, Sarah ;
  • Tsikitis, Vassiliki Liana ;
  • Bohndiek, Sarah E.
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Publication Year
2021-09-01
Publisher
John Wiley and Sons Inc
Citation
Journal of Biophotonics, Vol.14
Keyword
colonoscopyhyperspectral endoscopehyperspectral imagingmachine learning
Mesh Keyword
Cancer screeningClinical applicationColonic polypsColonoscopyHyperSpectralHyperspectral endoscopeMachine-learningProof of conceptTissue typesWhite lightAdenomatous PolypsColonic PolypsColonoscopyColorectal NeoplasmsEarly Detection of CancerHumans
All Science Classification Codes (ASJC)
Chemistry (all)Materials Science (all)Biochemistry, Genetics and Molecular Biology (all)Engineering (all)Physics and Astronomy (all)
Abstract
Early detection and resection of adenomatous polyps prevents their progression to colorectal cancer (CRC), significantly improving patient outcomes. Polyps are typically identified and removed during white-light colonoscopy. Unfortunately, the rate of interval cancers that arise between CRC screening events remains high, linked to poor visualization of polyps during screening and incomplete polyp removal. Here, we sought to evaluate the potential of a hyperspectral endoscope (HySE) to enhance polyp discrimination for detection and resection. We designed, built and tested a new compact HySE in a proof-of-concept clinical study. We successfully collected spectra from three tissue types in seven patients undergoing routine colonoscopy screening. The acquired spectral data from normal tissue and polyps, both pre- and post- resection, were subjected to quantitative analysis using spectral angle mapping and machine learning, which discriminated the data by tissue type, meriting further investigation of HySE as a clinical tool.
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/32092
DOI
https://doi.org/10.1002/jbio.202100078
Fulltext

Type
Article
Funding
We would like to acknowledge the financial support of Cancer Research UK (C14303/A17197, C9545/A29580, C47594/A16267, C47594/A21102, C55962/A24669, C47594/A26851) and EPSRC (EP/N014588/1, EP/R003599/1).
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Department of Physics
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