2026 Volume 17 Issue 2
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Fourier-Domain OCT Comparison of Macular Ganglion Cell and Retinal Nerve Fiber Layer Diagnostics


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  1. Department of Optometry and Vision Sciences, College of Applied Medical Sciences, King Saud University, Diriyah, Saudi Arabia.
Abstract

Analysis of the diagnostic ability of the macular ganglion cell complex (GCC) and retinal nerve fiber layer (RNFL) in glaucoma. To correlate functional and structural parameters obtained through Fourier- Domain Optical Coherence Tomography (FD-OCT) and compare the predictive value of each structural parameter between individuals with primary open-angle glaucoma (POAG) and a normal population in Riyadh, Saudi Arabia. Cross-sectional study involving 200 eyes. Participants were divided into two groups: POAG and normal (50 individual in every group, totaling 100 participants). Following a comprehensive ophthalmological tests, all subjects conduct standard automated perimetry and FD-OCT scans using optic nerve head and ganglion cell modes. The association between structural parameters was evaluated by correlating GCC measurements with RNFL values.  Data were analyzed using SPSS. Independent t-tests, Mann-Whitney tests, and Spearman’s rank correlation were employed. All structural parameters in the POAG group demonstrated significant thinning compared to the control group (P < 0.001). A strong correlation was observed between average GCC and average RNFL values (P < 0.001). In this study, GCC and RNFL measurements obtained through FD-OCT served as complementary biomarkers in clinical decision-making. Both showed equal predictive capability in distinguishing POAG from normal individuals.


How to cite this article
Vancouver
Zeried F, Aloraifi R. Fourier-Domain OCT Comparison of Macular Ganglion Cell and Retinal Nerve Fiber Layer Diagnostics. J Biochem Technol. 2026;17(2):176-84. https://doi.org/10.51847/DjNb9ioG6W
APA
Zeried, F., & Aloraifi, R. (2026). Fourier-Domain OCT Comparison of Macular Ganglion Cell and Retinal Nerve Fiber Layer Diagnostics. Journal of Biochemical Technology, 17(2), 176-184. https://doi.org/10.51847/DjNb9ioG6W
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Issue 3 Volume 17 - 2026