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Analysis of Macular Layer Thickness Measured Using Spectral Domain Optical Coherence Tomography in Korean Subjects
Article in Korean | WPRIM (Western Pacific) | ID: wpr-102340
Responsible library: WPRO
ABSTRACT

PURPOSE:

To analyze macular layer thickness using spectral domain optical coherence tomography (SD-OCT) in normal subjects.

METHODS:

One hundred normal eyes were enrolled in this study. Macular thickness was measured via enhanced depth imaging using Heidelberg Spectralis(R) OCT, using calipers within the program.

RESULTS:

Central subfield thickness was 11.35 +/- 2.11 microm in the retinal nerve fiber layer, 13.33 +/- 4.16 microm in the ganglion cell layer, 19.38 +/- 3.20 microm in the inner plexiform layer, 18.23 +/- 4.66 microm in the inner nuclear layer, 23.27+/- 6.83 microm in the outer plexiform layer, 91.97 +/- 9.59 microm in the outer nuclear layer, 16.68 +/- 1.83 microm in the retinal pigment epithelium layer, 179.82 +/- 29.99 microm in the inner retinal layer, and 88.32 +/- 2.81 microm in the photoreceptors layer. No significant differences were observed in the spherical equivalent according to age. Despite no significant differences being present, the macular central subfield thickness was thinner in women than in men.

CONCLUSIONS:

In the present study, differences in macular layer thickness were found according to age and gender which should be considered when macular diseases are evaluated.
Subject(s)

Full text: Available Database: WPRIM (Western Pacific) Main subject: Retinaldehyde / Ganglion Cysts / Tomography, Optical Coherence / Retinal Pigment Epithelium / Nerve Fibers Limits: Female / Humans / Male Language: Korean Journal: Journal of the Korean Ophthalmological Society Year: 2016 Document type: Article
Full text: Available Database: WPRIM (Western Pacific) Main subject: Retinaldehyde / Ganglion Cysts / Tomography, Optical Coherence / Retinal Pigment Epithelium / Nerve Fibers Limits: Female / Humans / Male Language: Korean Journal: Journal of the Korean Ophthalmological Society Year: 2016 Document type: Article
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