Quantitative analysis of in vivo high-resolution microendoscopic images for the detection of neoplastic colorectal polyps

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dc.citation.articleNumber116003
dc.citation.issueNumber11
dc.citation.journalTitleJournal of Biomedical Optics
dc.citation.volumeNumber23
dc.contributor.authorTang, Yubo
dc.contributor.authorPolydorides, Alexandros D.
dc.contributor.authorAnandasabapathy, Sharmila
dc.contributor.authorRichards-Kortum, Rebecca R.
dc.date.accessioned2019-01-09T17:21:04Z
dc.date.available2019-01-09T17:21:04Z
dc.date.issued2018
dc.description.abstractColonoscopy is routinely performed for colorectal cancer screening but lacks the capability to accurately characterize precursor lesions and early cancers. High-resolution microendoscopy (HRME) is a low-cost imaging tool to visualize colorectal polyps with subcellular resolution. We present a computer-aided algorithm to evaluate HRME images of colorectal polyps and classify neoplastic from benign lesions. Using histopathology as the gold standard, clinically relevant features based on luminal morphology and texture are quantified to build the classification algorithm. We demonstrate that adenomatous polyps can be identified with a sensitivity and specificity of 100% and 80% using a two-feature linear discriminant model in a pilot test set. The classification algorithm presented here offers an objective framework to detect adenomatous lesions in the colon with high accuracy and can potentially improve real-time assessment of colorectal polyps.
dc.identifier.citationTang, Yubo, Polydorides, Alexandros D., Anandasabapathy, Sharmila, et al.. "Quantitative analysis of in vivo high-resolution microendoscopic images for the detection of neoplastic colorectal polyps." <i>Journal of Biomedical Optics,</i> 23, no. 11 (2018) SPIE: https://doi.org/10.1117/1.JBO.23.11.116003.
dc.identifier.digital116003_1
dc.identifier.doihttps://doi.org/10.1117/1.JBO.23.11.116003
dc.identifier.urihttps://hdl.handle.net/1911/105014
dc.language.isoeng
dc.publisherSPIE
dc.rightsPublished by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/
dc.subject.keywordadenomatous polyps
dc.subject.keywordcolorectal cancer
dc.subject.keywordcomputer-aided diagnosis
dc.subject.keywordmicroendoscope
dc.subject.keywordquantitative analysis
dc.titleQuantitative analysis of in vivo high-resolution microendoscopic images for the detection of neoplastic colorectal polyps
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpublisher version
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