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dc.contributor.authorLee, Hsiang-Chieh
dc.contributor.authorZhou, Chao
dc.contributor.authorCohen, David W.
dc.contributor.authorMondelblatt, Amy E.
dc.contributor.authorWang, Yihong
dc.contributor.authorAguirre, Aaron Dominic
dc.contributor.authorShen, Dejun
dc.contributor.authorSheikine, Yuri
dc.contributor.authorFujimoto, James G.
dc.contributor.authorConnolly, James L.
dc.date.accessioned2014-04-18T15:12:34Z
dc.date.available2014-04-18T15:12:34Z
dc.date.issued2012-02
dc.identifier.issn00225347
dc.identifier.urihttp://hdl.handle.net/1721.1/86213
dc.descriptionavailable in PMC 2012 June 04en_US
dc.description.abstractMaterials and Methods A total of 35 renal specimens from 19 patients, consisting of 12 normal tissues and 23 tumors (16 clear cell renal cell carcinomas, 5 papillary renal cell carcinomas and 2 oncocytomas) were imaged ex vivo after surgical resection. Optical coherence tomography and optical coherence microscopy images were compared to corresponding hematoxylin and eosin histology to identify characteristic features of normal and pathological renal tissues. Three pathologists blinded to histology evaluated the sensitivity and specificity of optical coherence microscopy images to differentiate normal from neoplastic renal tissues. Results Optical coherence tomography and optical coherence microscopy images of normal kidney revealed architectural features, including glomeruli, convoluted tubules, collecting tubules and loops of Henle. Each method of imaging renal tumors clearly demonstrated morphological changes and decreased imaging depth. Optical coherence tomography and microscopy features matched well with the corresponding histology. Three observers achieved 88%, 100% and 100% sensitivity, and 100%, 88% and 100% specificity, respectively, when evaluating normal vs neoplastic specimens using optical coherence microscopy images with substantial interobserver agreement (κ = 0.82, p <0.01). Conclusions Integrated optical coherence tomography and optical coherence microscopy imaging provides coregistered, multiscale images of renal pathology in real time without exogenous contrast medium or histological processing. High sensitivity and specificity were achieved using optical coherence microscopy to differentiate normal from neoplastic renal tissues, suggesting possible applications for guiding renal mass biopsy or evaluating surgical margins.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (NIH Grants R01-CA75289-14)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (NIH R01-HL095717-02)en_US
dc.description.sponsorshipUnited States. Air Force Office of Scientific Research (FA9550-10-1-0063)en_US
dc.description.sponsorshipUnited States. Air Force Office of Scientific Research (FA9550-10-1-0551)en_US
dc.language.isoen_US
dc.publisherElsevier B.V.en_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.juro.2011.09.149en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcePMCen_US
dc.titleIntegrated Optical Coherence Tomography and Optical Coherence Microscopy Imaging of Ex Vivo Human Renal Tissuesen_US
dc.typeArticleen_US
dc.identifier.citationLee, Hsiang-Chieh, Chao Zhou, David W. Cohen, Amy E. Mondelblatt, Yihong Wang, Aaron D. Aguirre, Dejun Shen, Yuri Sheikine, James G. Fujimoto, and James L. Connolly. “Integrated Optical Coherence Tomography and Optical Coherence Microscopy Imaging of Ex Vivo Human Renal Tissues.” The Journal of Urology 187, no. 2 (February 2012): 691–699.en_US
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.departmentMassachusetts Institute of Technology. Research Laboratory of Electronicsen_US
dc.contributor.mitauthorLee, Hsiang-Chiehen_US
dc.contributor.mitauthorZhou, Chaoen_US
dc.contributor.mitauthorAguirre, Aaron Dominicen_US
dc.contributor.mitauthorFujimoto, James G.en_US
dc.relation.journalJournal of Urologyen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsLee, Hsiang-Chieh; Zhou, Chao; Cohen, David W.; Mondelblatt, Amy E.; Wang, Yihong; Aguirre, Aaron D.; Shen, Dejun; Sheikine, Yuri; Fujimoto, James G.; Connolly, James L.en_US
dc.identifier.orcidhttps://orcid.org/0000-0002-0828-4357
dc.identifier.orcidhttps://orcid.org/0000-0002-2976-6195
dspace.mitauthor.errortrue
mit.licenseOPEN_ACCESS_POLICYen_US


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