研究目的
To evaluate the impact of glaucoma on all measurable retinal layers using spectral domain optical coherence tomography (SD-OCT).
研究成果
SD-OCT effectively measures thinning of inner retinal layers (RNFL, GCL, IPL) in glaucoma, indicating neurodegenerative changes. No significant differences were found in outer retinal layers. The study supports the use of macular SD-OCT for glaucoma detection and monitoring, but larger, longitudinal studies are needed for normative data and to assess disease progression.
研究不足
The study is cross-sectional, limiting longitudinal insights. Sample size is small (12 patients and 12 controls), and findings are specific to advanced glaucoma with central scotomas. SD-OCT may not detect subtle changes in outer retinal layers, and the method is currently applicable only to central macular regions, not peripheral areas.
1:Experimental Design and Method Selection:
The study used SD-OCT with automated retinal layer segmentation to compare retinal layer thicknesses between glaucoma patients and healthy controls. The design focused on patients with monocular absolute scotoma in the central visual field to correlate with macular changes.
2:Sample Selection and Data Sources:
Included 12 primary open-angle glaucoma patients with unilateral absolute scotoma and 12 age-matched healthy controls. Exclusion criteria included other neurological or macular diseases.
3:List of Experimental Equipment and Materials:
SD-OCT device (Spectralis?, Heidelberg Engineering), slit lamp, applanation tonometer, automated perimetry device (Twinfield 2, Oculus), and software for data analysis (Excel, SPSS).
4:Experimental Procedures and Operational Workflow:
Conducted ophthalmological examinations, SD-OCT scans of both eyes in patients and one eye in controls, automated segmentation of retinal layers, manual verification by an ophthalmologist, and statistical comparison of mean thicknesses in a central 24x24° grid.
5:Data Analysis Methods:
Used non-parametric statistical tests (Wilcoxon, Kruskal-Wallis, Mann-Whitney U-test) with Bonferroni correction for multiple comparisons. Data analyzed with Excel and SPSS software.
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