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KMID : 1813520150040010001
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Journal of the Korean Glaucoma Society
2015 Volume.4 No. 1 p.1 ~ p.8
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Glaucoma Progression Detection Using Spectral Domain OCT Driven Parameters
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Baek Seung-Hee
Na Jung-Hwa
Lee Jong-Rak
Lee Kyoung-Sub
Sung Kyung-Rim
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Abstract
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Purpose : We intended to determine the most favorable method for detecting the progression of glaucoma with various parameters provided by spectral-domain optical coherence tomography (SD-OCT; Cirrus HD-OCT), using a latent class regression analysis (LCA) model.
Methods : This was an observational cohort study. Subjects with glaucoma who had undergone at least 5 qualified serial SD-OCT exams (mean follow-up time: 2.9 years) were enrolled. Progression of the disease was assessed based on 5 SD-OCT parameters: linear regression analysis of the optic disc rim area (LRA), peripapillary retinal nerve fiber layer thickness (LRNFL), and macular thickness (LMA), and change in classification of peripapillary retinal nerve fiber layer (NCRNFL) and macular thickness (NCMA) when compared to normative database. The sensitivity and specificity of each parameter were obtained from an LCA model incorporating these 5 parameters. Progression of the disease was also determined by assessment of optic disc/RNFL photographs and visual field (VF) examinations.
Results : Of 163 eyes, 26 showed disease progression by LRA, 40 by LMA, 33 by LRNFL, 21 by NCMA and 13 by NCRNFL. Based on the LCA model, the sensitivities of each of the 5 methods for progression detection were 39.7%, 64.4%, 54.2%, 27.8%, and 28.3%, respectively, while specificity ranged from 84.8 % to 96.8%. LRNFL (33.3%) and LMA (25.0%) had the highest sensitivities when determined by optic disc/RNFL photographs and VF examination, respectively.
Conclusions : Serial analysis of macular and peripapillary RNFL thickness values over time is more sensitive than detection of normative classification changes.
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KEYWORD
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Glaucoma, Progression, Spectral domain optical coherence tomography, visual field, retinal nerve fiber layer thickness
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