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青光眼性半视野缺损患者黄斑视网膜神经节细胞复合体厚度及其与视神经乳头形态的关系。

Macular retinal ganglion cell complex thickness and its relationship to the optic nerve head topography in glaucomatous eyes with hemifield defects.

作者信息

Takagi Seiji T, Kita Yoshiyuki, Takeyama Asuka, Tomita Goji

机构信息

Department of Ophthalmology, Ohashi Medical Center, Toho University, 2-17-6 Ohashi, Meguro-ku, Tokyo 153-8515, Japan.

出版信息

J Ophthalmol. 2011;2011:914250. doi: 10.1155/2011/914250. Epub 2010 Nov 1.

Abstract

Purpose. To evaluate the relationship between the macular ganglion cell complex (mGCC) thickness, which is the sum of the retinal nerve fiber, ganglion cell, and inner plexiform layers, measured with a spectral-domain optical coherence tomograph and the optic nerve head topography measured with a confocal scanning laser ophthalmoscope in glaucomatous eyes with visual field defects localized predominantly to either hemifield. Materials and Methods. The correlation between the mGCC thickness in hemispheres corresponding to hemifields with and without defects (damaged and intact hemispheres, respectively) and the optic nerve head topography corresponding to the respective hemispheres was evaluated in 18 glaucomatous eyes. Results. The mGCC thickness was significantly correlated with the rim volume, mean retinal nerve fiber layer thickness, and cross-sectional area of the retinal nerve fiber layer in both the intact and the damaged hemispheres (P < .05). Discussion. For detecting very early glaucomatous damage of the optic nerve, changes in the thicknesses of the inner retina in the macular area and peripapillary RNFL as well as rim volume changes in the optic nerve head are target parameters that should be carefully monitored.

摘要

目的。评估使用光谱域光学相干断层扫描仪测量的黄斑神经节细胞复合体(mGCC)厚度(即视网膜神经纤维层、神经节细胞层和内网状层厚度之和)与使用共焦扫描激光检眼镜测量的青光眼性视野缺损主要局限于某一半视野的青光眼患者的视神经乳头地形图之间的关系。材料与方法。在18只青光眼眼中,评估了与有缺损和无缺损半视野相对应的半球(分别为受损半球和完整半球)中的mGCC厚度与相应半球的视神经乳头地形图之间的相关性。结果。在完整半球和受损半球中,mGCC厚度均与边缘体积、平均视网膜神经纤维层厚度以及视网膜神经纤维层横截面积显著相关(P < 0.05)。讨论。为了检测视神经的极早期青光眼性损害,黄斑区和视乳头周围视网膜神经纤维层的内层视网膜厚度变化以及视神经乳头的边缘体积变化是应仔细监测的目标参数。

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