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dc.contributor.authorJia, Yali
dc.contributor.authorWei, Eric
dc.contributor.authorWang, Xiaogang
dc.contributor.authorZhang, Xinbo
dc.contributor.authorMorrison, John C.
dc.contributor.authorParikh, Mansi
dc.contributor.authorLombardi, Lori H.
dc.contributor.authorGattey, Devin M.
dc.contributor.authorArmour, Rebecca L.
dc.contributor.authorEdmunds, Beth
dc.contributor.authorKraus, Martin F.
dc.contributor.authorFujimoto, James G.
dc.contributor.authorHuang, David
dc.date.accessioned2015-12-13T02:18:20Z
dc.date.available2015-12-13T02:18:20Z
dc.date.issued2014-03
dc.date.submitted2014-01
dc.identifier.issn01616420
dc.identifier.urihttp://hdl.handle.net/1721.1/100207
dc.description.abstractPurpose To compare optic disc perfusion between normal subjects and subjects with glaucoma using optical coherence tomography (OCT) angiography and to detect optic disc perfusion changes in glaucoma. Design Observational, cross-sectional study. Participants Twenty-four normal subjects and 11 patients with glaucoma were included. Methods One eye of each subject was scanned by a high-speed 1050-nm–wavelength swept-source OCT instrument. The split-spectrum amplitude-decorrelation angiography (SSADA) algorithm was used to compute 3-dimensional optic disc angiography. A disc flow index was computed from 4 registered scans. Confocal scanning laser ophthalmoscopy (cSLO) was used to measure disc rim area, and stereo photography was used to evaluate cup/disc (C/D) ratios. Wide-field OCT scans over the discs were used to measure retinal nerve fiber layer (NFL) thickness. Main Outcome Measures Variability was assessed by coefficient of variation (CV). Diagnostic accuracy was assessed by sensitivity and specificity. Comparisons between glaucoma and normal groups were analyzed by Wilcoxon rank-sum test. Correlations among disc flow index, structural assessments, and visual field (VF) parameters were assessed by linear regression. Results In normal discs, a dense microvascular network was visible on OCT angiography. This network was visibly attenuated in subjects with glaucoma. The intra-visit repeatability, inter-visit reproducibility, and normal population variability of the optic disc flow index were 1.2%, 4.2%, and 5.0% CV, respectively. The disc flow index was reduced by 25% in the glaucoma group (P = 0.003). Sensitivity and specificity were both 100% using an optimized cutoff. The flow index was highly correlated with VF pattern standard deviation (R[superscript 2] = 0.752, P = 0.001). These correlations were significant even after accounting for age, C/D area ratio, NFL, and rim area. Conclusions Optical coherence tomography angiography, generated by the new SSADA, repeatably measures optic disc perfusion and may be useful in the evaluation of glaucoma and glaucoma progression.en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (Grant 1R01 EY023285-01)en_US
dc.description.sponsorshipRosenbaum's P30EY010572en_US
dc.description.sponsorshipNational Institutes of Health (U.S.). Clinical and Translational Science Awards (CTSA) Program (Grant UL1TR000128)en_US
dc.description.sponsorshipResearch to Prevent Blindness, Inc. (United States) (Grant R01-EY11289-26)en_US
dc.description.sponsorshipUnited States. Air Force Office of Scientific Research (FA9550-10-1-0551)en_US
dc.description.sponsorshipGerman Research Foundation (DFG-HO-1791/11-1)en_US
dc.description.sponsorshipGerman Research Foundation (DFG-GSC80-SAOT)en_US
dc.description.sponsorshipGerman Research Foundation (Training Group 1773)en_US
dc.language.isoen_US
dc.publisherElsevieren_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.ophtha.2014.01.021en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourcePMCen_US
dc.titleOptical Coherence Tomography Angiography of Optic Disc Perfusion in Glaucomaen_US
dc.typeArticleen_US
dc.identifier.citationJia, Yali, Eric Wei, Xiaogang Wang, Xinbo Zhang, John C. Morrison, Mansi Parikh, Lori H. Lombardi, et al. “Optical Coherence Tomography Angiography of Optic Disc Perfusion in Glaucoma.” Ophthalmology 121, no. 7 (July 2014): 1322–1332.en_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.mitauthorKraus, Martin F.en_US
dc.contributor.mitauthorFujimoto, James G.en_US
dc.relation.journalOphthalmologyen_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.orderedauthorsJia, Yali; Wei, Eric; Wang, Xiaogang; Zhang, Xinbo; Morrison, John C.; Parikh, Mansi; Lombardi, Lori H.; Gattey, Devin M.; Armour, Rebecca L.; Edmunds, Beth; Kraus, Martin F.; Fujimoto, James G.; Huang, Daviden_US
dc.identifier.orcidhttps://orcid.org/0000-0002-0828-4357
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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