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dc.contributor.authorWaterhouse, Dale J
dc.contributor.authorBano, Sophia
dc.contributor.authorJanuszewicz, Wladyslaw
dc.contributor.authorStoyanov, Dan
dc.contributor.authorFitzgerald, Rebecca C
dc.contributor.authordi Pietro, Massimiliano
dc.contributor.authorBohndiek, Sarah E
dc.date.accessioned2021-09-08T23:30:48Z
dc.date.available2021-09-08T23:30:48Z
dc.date.issued2021-10
dc.identifier.issn1083-3668
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/327776
dc.description.abstractSIGNIFICANCE: The early detection of dysplasia in patients with Barrett's esophagus could improve outcomes by enabling curative intervention; however, dysplasia is often inconspicuous using conventional white-light endoscopy. AIM: We sought to determine whether multispectral imaging (MSI) could be applied in endoscopy to improve detection of dysplasia in the upper gastrointestinal (GI) tract. APPROACH: We used a commercial fiberscope to relay imaging data from within the upper GI tract to a snapshot MSI camera capable of collecting data from nine spectral bands. The system was deployed in a pilot clinical study of 20 patients (ClinicalTrials.gov NCT03388047) to capture 727 in vivo image cubes matched with gold-standard diagnosis from histopathology. We compared the performance of seven learning-based methods for data classification, including linear discriminant analysis, k-nearest neighbor classification, and a neural network. RESULTS: Validation of our approach using a Macbeth color chart achieved an image-based classification accuracy of 96.5%. Although our patient cohort showed significant intra- and interpatient variance, we were able to resolve disease-specific contributions to the recorded MSI data. In classification, a combined principal component analysis and k-nearest-neighbor approach performed best, achieving accuracies of 95.8%, 90.7%, and 76.1%, respectively, for squamous, non-dysplastic Barrett's esophagus and neoplasia based on majority decisions per-image. CONCLUSIONS: MSI shows promise for disease classification in Barrett's esophagus and merits further investigation as a tool in high-definition "chip-on-tip" endoscopes.
dc.format.mediumPrint
dc.languageeng
dc.publisherSPIE-Intl Soc Optical Eng
dc.rightsAll rights reserved
dc.titleFirst-in-human pilot study of snapshot multispectral endoscopy for early detection of Barrett's-related neoplasia.
dc.typeArticle
prism.issueIdentifier10
prism.publicationDate2021
prism.publicationNameJ Biomed Opt
prism.volume26
dc.identifier.doi10.17863/CAM.75231
dcterms.dateAccepted2021-09-02
rioxxterms.versionofrecord10.1117/1.JBO.26.10.106002
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2021-10
dc.contributor.orcidDi Pietro, Massimiliano [0000-0003-4866-7026]
dc.contributor.orcidBohndiek, Sarah [0000-0003-0371-8635]
dc.identifier.eissn1560-2281
rioxxterms.typeJournal Article/Review
pubs.funder-project-idCancer Research Uk (None)
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/N014588/1)
pubs.funder-project-idCancer Research UK (C14303/A17197)
pubs.funder-project-idEngineering and Physical Sciences Research Council (EP/R003599/1)
pubs.funder-project-idCancer Research UK (21102)
pubs.funder-project-idCancer Research UK (24669)
cam.issuedOnline2021-10-09
datacite.issupplementedby.urlhttps://doi.org/10.17863/CAM.76523
cam.orpheus.successTue Feb 01 19:01:48 GMT 2022 - Embargo updated
cam.orpheus.counter5
rioxxterms.freetoread.startdate2021-10-31


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