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Volume 8 Issue 10 (October, 2020)

Original Articles

Assessment of the relationship between RNFL thickness and myopia using Spectral Domain OCT- An observational study
Dr. Prashant Shukla, Dr. Mahendra Singh

Background: Myopia or near-sightedness, as it is medically termed, is a leading cause of loss of vision throughout the world, and its prevalence is increasing. Imaging modalities such as optical coherence tomography (OCT) can aid in the diagnostic dilemma by measuring retinal nerve fiber layer (RNFL) thickness, which differs significantly between glaucoma patients and controls. Hence; the present study was undertaken for assessing the relationship between RNFL thickness and myopia using Spectral Domain OCT (SD-OCT). Materials & methods: A total of 20 myopic eyes were included. Complete demographic and clinical details of all the patients were obtained. All patients were subjected to a comprehensive ocular examination, which included best corrected visual acuity (BCVA), refraction, slit lamp bio-microscopy, goldmann applanation tonometry, axial length (AL), anterior chamber depth (ACD), central corneal thickness (CCT), gonioscopy, dilated fundus examination, and OCT-RNFL. OCT- RNFL was done to measure retinal nerve fibre layer thickness using SD OCT. The average RNFL thickness and four quadrants RNFL thicknesses (superior, nasal, inferior and temporal quadrant) were recorded for analysis. All the results were recorded and analyzed SPSS software. Results: Mean RNFL was found to be 99.71 microns while mean RNFL among inferior, superior, nasal and temporal compartment was found to be 121.58 microns, 121.95 microns, 71.56 microns and 74.76 microns respectively. Mean RNFL thickness was significantly higher among patients with severe myopia in comparison to patients with moderate myopia and further from patients with high myopia. Conclusion: Myopia did have particular influence on RNFL thickness. Also, degree and severity of myopia affect the RNFL thickness differentially. Key words: RNFL, Myopia, Spectral domain

 
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