Quantitative analysis of high-resolution microendoscopic images for diagnosis of neoplasia in patients with Barrett’s esophagus

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dc.citation.firstpage107en_US
dc.citation.issueNumber1en_US
dc.citation.journalTitleGastrointestinal Endoscopyen_US
dc.citation.lastpage114en_US
dc.citation.volumeNumber83en_US
dc.contributor.authorShin, Dongsuken_US
dc.contributor.authorLee, Michelle H.en_US
dc.contributor.authorPolydorides, Alexandros D.en_US
dc.contributor.authorPierce, Mark C.en_US
dc.contributor.authorVila, Peter M.en_US
dc.contributor.authorParikh, Neil D.en_US
dc.contributor.authorRosen, Daniel G.en_US
dc.contributor.authorAnandasabapathy, Sharmilaen_US
dc.contributor.authorRichards-Kortum, Rebecca R.en_US
dc.contributor.orgBioengineeringen_US
dc.date.accessioned2015-12-18T20:10:19Zen_US
dc.date.available2015-12-18T20:10:19Zen_US
dc.date.issued2016en_US
dc.description.abstractBackground and Aims: Previous studies show that microendoscopic images can be interpreted visually to identify the presence of neoplasia in patients with Barrett’s esophagus (BE), but this approach is subjective and requires clinical expertise. This study describes an approach for quantitative image analysis of microendoscopic images to identify neoplastic lesions in patients with BE. Methods: Images were acquired from 230 sites from 58 patients by using a fiberoptic high-resolution microendoscope during standard endoscopic procedures. Images were analyzed by a fully automated image processing algorithm, which automatically selected a region of interest and calculated quantitative image features. Image features were used to develop an algorithm to identify the presence of neoplasia; results were compared with a histopathology diagnosis. Results: A sequential classification algorithm that used image features related to glandular and cellular morphology resulted in a sensitivity of 84% and a specificity of 85%. Applying the algorithm to an independent validation set resulted in a sensitivity of 88% and a specificity of 85%. Conclusions: This pilot study demonstrates that automated analysis of microendoscopic images can provide an objective, quantitative framework to assist clinicians in evaluating esophageal lesions from patients with BE. (Clinical trial registration number: NCT01384227 and NCT02018367.)en_US
dc.identifier.citationShin, Dongsuk, Lee, Michelle H., Polydorides, Alexandros D., et al.. "Quantitative analysis of high-resolution microendoscopic images for diagnosis of neoplasia in patients with Barrett’s esophagus." <i>Gastrointestinal Endoscopy,</i> 83, no. 1 (2016) Elsevier: 107-114. http://dx.doi.org/10.1016/j.gie.2015.06.045.en_US
dc.identifier.doihttp://dx.doi.org/10.1016/j.gie.2015.06.045en_US
dc.identifier.urihttps://hdl.handle.net/1911/87477en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsThis is an open access article under the CC BY-NC-ND license.en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.titleQuantitative analysis of high-resolution microendoscopic images for diagnosis of neoplasia in patients with Barrett’s esophagusen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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