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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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dc.contributor.authorYoon, Jonghee-
dc.contributor.authorJoseph, James-
dc.contributor.authorWaterhouse, Dale J.-
dc.contributor.authorBorzy, Charlie-
dc.contributor.authorSiemens, Kyla-
dc.contributor.authorDiamond, Sarah-
dc.contributor.authorTsikitis, Vassiliki Liana-
dc.contributor.authorBohndiek, Sarah E.-
dc.date.issued2021-09-01-
dc.identifier.urihttps://dspace.ajou.ac.kr/dev/handle/2018.oak/32092-
dc.description.abstractEarly 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.-
dc.description.sponsorshipWe 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).-
dc.language.isoeng-
dc.publisherJohn Wiley and Sons Inc-
dc.subject.meshCancer screening-
dc.subject.meshClinical application-
dc.subject.meshColonic polyps-
dc.subject.meshColonoscopy-
dc.subject.meshHyperSpectral-
dc.subject.meshHyperspectral endoscope-
dc.subject.meshMachine-learning-
dc.subject.meshProof of concept-
dc.subject.meshTissue types-
dc.subject.meshWhite light-
dc.subject.meshAdenomatous Polyps-
dc.subject.meshColonic Polyps-
dc.subject.meshColonoscopy-
dc.subject.meshColorectal Neoplasms-
dc.subject.meshEarly Detection of Cancer-
dc.subject.meshHumans-
dc.titleFirst experience in clinical application of hyperspectral endoscopy for evaluation of colonic polyps-
dc.typeArticle-
dc.citation.titleJournal of Biophotonics-
dc.citation.volume14-
dc.identifier.bibliographicCitationJournal of Biophotonics, Vol.14-
dc.identifier.doi10.1002/jbio.202100078-
dc.identifier.pmid34047490-
dc.identifier.scopusid2-s2.0-85108260372-
dc.identifier.urlhttp://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1864-0648-
dc.subject.keywordcolonoscopy-
dc.subject.keywordhyperspectral endoscope-
dc.subject.keywordhyperspectral imaging-
dc.subject.keywordmachine learning-
dc.description.isoatrue-
dc.subject.subareaChemistry (all)-
dc.subject.subareaMaterials Science (all)-
dc.subject.subareaBiochemistry, Genetics and Molecular Biology (all)-
dc.subject.subareaEngineering (all)-
dc.subject.subareaPhysics and Astronomy (all)-
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