Macular Thickness Changes in Normal and Glaucomatous Eyes
Mona Abdelkader*
Faculty of Medicine, Mansoura Ophthalmic Center, Mansoura University, Mansoura, Egypt
*Corresponding Author: Mona Abdelkader, Faculty of Medicine, Mansoura Ophthalmic Center, Mansoura University, Mansoura, Egypt.
Received:
April 23, 2021; Published: May 26, 2021
Abstract
Purpose: To evaluate macular nerve fiber layer thickness (NFL) in glaucoma patients by optical coherence tomography, to correlate between total macular thickness, macular NFL thickness and peripapillary NFL thickness and to correlate between macular thickness and peripapillary NFL thickness and visual field changes.
Participants: Total "60" subjects (110 eyes) were studied including: 30 normal subjects (60 eyes) and 30 glaucoma patients (50 eyes).
Methods: Optical coherence tomography (OCT) was used to measure macular NFL thickness, total macular thickness and peripapillary NFL thickness in each diagnostic group.
Main Outcome Measures: Measurements of macular NFL thickness, total macular thickness, peripapillary NFL thickness in total mean, (4) quadrants and (12) clock hours.
Results: A significant difference in macular NFL thickness between normal and glaucoma patients was observed. Mean macular NFL thickness demonstrated a stronger correlation with visual function than mean total macular thickness (R = 0.7, P =0.02 versus R = 0.45, P = 0.05). Inner ring, outer ring, mean macular thickness were found to be significantly different between normal and glaucoma patients.
Conclusion: Thinning of both macular NFL and peripapillary NFL in glaucoma suggested that retinal ganglion cells of both the macular and peripheral retina are involved in the degenerative process of glaucoma.
Macular NFL is a better surrogate marker for glaucomatous damage than total macular thickness. Peripapillary NFL may be the most useful clinical marker in diagnosing and monitoring glaucomatous damages among all three measurements.
Keywords: Macular Nerve Fiber Layer Thickness; Glaucoma; Optical Coherence Tomography
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