The diagnosis of glaucoma is a conundrum that cannot be solved by depending on a single diagnostic instrument or a single sign. Inconsistency in diagnosis was linked to traditional, subjective approaches such as nerve fibre layer photography and visual field analysis. The introduction of optical coherence tomography (OCT) allowed for objective assessment of a variety of structures, including the peripapillary retinal nerve fibre layer (RNFL), neural rim area, optic disc edge, and ganglion cell complex. OCT angiography, which was recently launched, allowed for the detection and measurement of perfusion, blood flow, and vessel density in various vascular beds. Artificial intelligence (AI) and genome-wide association studies (GWAS) have recently made it possible to optimise glaucoma care earlier and with more insight.
Author (S) Details
Amal Moustafa Elbendary
Department of Ophthalmology, Faculty of Medicine, Mansoura University, Mansoura-35516, Egypt.
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