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Correlation between Stratus OCT and GDx VCC in early glaucoma, ocular hypertension and glaucoma suspect eyes
Author(s) -
HsinYi Chen,
MeiLing Huang,
IJong Wang,
WenChi Chen
Publication year - 2012
Publication title -
journal of optometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.844
H-Index - 25
eISSN - 1888-4296
pISSN - 1989-1342
DOI - 10.1016/j.optom.2012.01.001
Subject(s) - ophthalmology , scanning laser polarimetry , glaucoma , medicine , nerve fiber layer , optical coherence tomography , correlation , optometry , mathematics , geometry
PurposeTo study the correlation between Stratus optical coherence tomography (OCT) and scanning laser polarimetry (GDx VCC) in measuring retinal nerve fiber layer (RNFL) thickness in eyes with early glaucoma (EG), ocular hypertension (OH), and glaucoma suspect (GS) in a Taiwan Chinese population.MethodsOne eye each of 170 subjects (50 eyes with EG, 32 eyes with OH, 38 eyes with GS and 50 healthy eyes) was included. The RNFL thickness was measured by both technologies and three parameters (average, superior and inferior thickness) were correlated using the Pearson's correlation coefficient (r) in each group. Diagnostic capability of two instruments was evaluated in EG, OH and GS eyes based on the area under the receive operator characteristic (AROC) curve.ResultsIn healthy and EG eyes, three RNFL parameters were significantly correlated. In OH eye, there was no significant correlation in three parameters. In GS eye, there was significant correlation in inferior thickness only. For healthy vs EG eye, the best parameter with largest AROC was nerve fiber indicator (0.798) for GDx VCC and average thickness (0.787) for OCT. The diagnostic capability of two techniques is poor in OH (AROC, 0.510–0.645) and GS eyes (AROC, 0.510–0.689).ConclusionThe RNFL thickness measured by OCT and GDx VCC was well correlated in EG and healthy eyes but poorly correlated in OH and GS eyes. When managing the case with OH or GS eye, we should be cautious in interpreting different imaging data

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