Factors Affecting the Ability of the Spectral Domain Optical Coherence Tomograph to Detect Photographic Retinal Nerve Fiber Layer Defects

Harsha L Rao, Uday K Addepalli, Ravi K Yadav, Nikhil S Choudhari, Sirisha Senthil and Chandra S Garudadri

PLOS ONE, 2014, vol. 9, issue 12, 1-12

Abstract: Purpose: To evaluate the ability of normative database classification (color-coded maps) of spectral domain optical coherence tomograph (SDOCT) in detecting wedge shaped retinal nerve fiber layer (RNFL) defects identified on photographs and the factors affecting the ability of SDOCT in detecting these RNFL defects. Methods: In a cross-sectional study, 238 eyes (476 RNFL quadrants) of 172 normal subjects and 85 eyes (103 RNFL quadrants with wedge shaped RNFL defects) of 66 glaucoma patients underwent RNFL imaging with SDOCT. Logistic regression models were used to evaluate the factors associated with false positive and false negative RNFL classifications of the color-coded maps of SDOCT. Results: False positive classification at a p value of

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0116115

DOI: 10.1371/journal.pone.0116115

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