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Invest Ophthalmol Vis Sci. 2020 Mar 9;61(3):2. doi: 10.1167/iovs.61.3.2.
The purpose of this study was to examine changes in the ganglion cell layer (GCL) of individuals with intermediate age-related macular degeneration (AMD) using grid-wise analysis for macular optical coherence tomography (OCT) volume scans. We also aim to validate the use of age-correction functions for GCL thickness in diseased eyes.
OCT macular cube scans covering 30° × 25° were acquired using Spectralis spectral-domain OCT for 87 eyes with intermediate AMD, 77 age-matched normal eyes, and 254 non-age-matched normal eyes. The thickness of the ganglion cell layer (GCL) was defined after segmentation at 60 locations across an 8 × 8 grid centered on the fovea, where each grid location covered 0.74 mm2 (approximately 3° × 3°) within the macula. Each GCL location of normal eyes (n = 77) were assigned to a specific iso-ganglion cell density cluster in the macula, based on patterns of age-related GCL thickness loss. Analyses were then performed comparing AMD GCL grid-wise data against corresponding spatial clusters, and significant AMD GCL thickness changes were denoted as values outside the 95% distribution limits.
Analysis of GCL thickness changes revealed significant differences between spatial clusters, with thinning toward the fovea, and thickening toward the peripheral macula. The direction of GCL thickness changes in AMD were associated more so with thickening than thinning in all analyses. Results were corroborated by the application of GCL thickness age-correction functions.
GCL thickness changed significantly and nonuniformly within the macula of intermediate AMD eyes. Further characterization of these changes is critical to improve diagnoses and monitoring of GCL-altering pathologies.
本研究旨在通过网格分析黄斑光学相干断层扫描(OCT)容积扫描,研究中间型年龄相关性黄斑变性(AMD)个体的神经节细胞层(GCL)变化。我们还旨在验证年龄校正函数在病变眼中 GCL 厚度的应用。
使用 Spectralis 频域 OCT 采集 87 只中间型 AMD 眼、77 只年龄匹配正常眼和 254 只非年龄匹配正常眼的 OCT 黄斑立方扫描,覆盖 30°×25°。在以黄斑中心凹为中心的 8×8 网格的 60 个位置进行分割后,定义了神经节细胞层(GCL)的厚度,每个网格位置覆盖黄斑内 0.74mm2(约 3°×3°)。根据年龄相关性 GCL 厚度丧失模式,将正常眼(n=77)的每个 GCL 位置分配到特定的同神经节细胞密度黄斑区内。然后对 AMD GCL 网格数据与相应的空间簇进行比较分析,将 AMD GCL 厚度的显著变化定义为超出 95%分布范围的数值。
GCL 厚度变化分析显示空间簇之间存在显著差异,向黄斑中心凹变薄,向周边黄斑变厚。在所有分析中,AMD 中 GCL 厚度变化的方向与变厚而非变薄更为相关。通过应用 GCL 厚度年龄校正函数得到了验证结果。
中间型 AMD 眼的黄斑内 GCL 厚度显著且不均匀地发生变化。进一步描述这些变化对于改善 GCL 改变病变的诊断和监测至关重要。