2014
DOI: 10.1111/aos.12485
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Comparison of macular GCIPL and peripapillary RNFL deviation maps for detection of glaucomatous eye with localized RNFL defect

Abstract: ABSTRACT.Purpose: To evaluate the ability of the deviation map of macular ganglion cellinner plexiform layer (GCIPL) thickness compared with that of peripapillary retinal nerve fibre layer (pRNFL) thickness for detection of localized RNFL defects shown on red-free RNFL photography. Methods: This prospective cross-sectional study included 69 eyes of 69 subjects with preperimetric or perimetric glaucoma (mean deviation (MD) >À12dB) and localized RNFL defects along with 79 eyes of 79 normal control subjects. The … Show more

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Cited by 37 publications
(24 citation statements)
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References 21 publications
(46 reference statements)
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“…Kim et al 40 reported that the diagnostic performance (presented as area under receiver operating characteristic curve (AUROC)) of the best parameter in macular GCIPL was 0.823 (inferotemporal sector), which result showed no significant difference from those of the best parameters for pRNFL (7 o’clock sector, 0.764) and ONH (rim area, 0.767) in preperimetric glaucoma. Moreover, in preperimetric glaucoma, the macular GCIPL deviation map has demonstrated diagnostic performance comparable to that of the pRNFL deviation map 41. Relevantly too, macular GCA maps have shown good early-glaucoma detection ability (−6 dB <VF mean deviation), the detection rate ranging from 79.4% (thickness map) to 87.8% (deviation map) 12.…”
Section: Introductionmentioning
confidence: 86%
“…Kim et al 40 reported that the diagnostic performance (presented as area under receiver operating characteristic curve (AUROC)) of the best parameter in macular GCIPL was 0.823 (inferotemporal sector), which result showed no significant difference from those of the best parameters for pRNFL (7 o’clock sector, 0.764) and ONH (rim area, 0.767) in preperimetric glaucoma. Moreover, in preperimetric glaucoma, the macular GCIPL deviation map has demonstrated diagnostic performance comparable to that of the pRNFL deviation map 41. Relevantly too, macular GCA maps have shown good early-glaucoma detection ability (−6 dB <VF mean deviation), the detection rate ranging from 79.4% (thickness map) to 87.8% (deviation map) 12.…”
Section: Introductionmentioning
confidence: 86%
“…In glaucoma, it has been confirmed that the ganglion cell IPL deviation map for detecting RNFL defects was equal to the papillary RNFL deviation map [64], and the localized papillary RNFL defects in different spaces corresponded to the ganglion cell IPL defects on the SD-OCT deviation map in glaucoma [65]. However, no consistent verdict has been reached with regard to the ganglion cell changes in RP patients, and whether RNFL defects are consistent with the ganglion cell IPL defects is unknown.…”
Section: Retinal Nerve Fiber Layermentioning
confidence: 99%
“…It has been confirmed to be valuable for diagnosing glaucoma obtained by ganglion cell analysis (GCA) incorporate into the new optical coherence tomography (OCT) device, which reflects localized RNFL defects better than papillary RNFL in advanced glaucoma. [18,19] However, there is no article to study about GCIPL changes in RP patients by GCA, and the thickness in the previous studies was measured from 2 or 4 points by manual [20,21] ; therefore, it is necessary to reconfirm the condition of ganglion cells in RP. Visual function in RP cases was proved to be related with morphological changes of the photoreceptors in the macular area.…”
Section: Introductionmentioning
confidence: 99%