Categories

Volume 7 Issue 9 (September, 2019)

Original Articles

Assessment of retinal fibre layer thickness with the help of Spectral Domain Optical Coherence Tomography in a given population- A clinical study
Chander Mohan Kohli, Gaurav Mohan Kohli

Background: Glaucoma is the leading cause of blindness worldwide1 and reduction of retinal nerve fibre layer (RNFL) thickness imaged with optical coherence tomography (OCT) is an early hallmark of glaucoma. It has been well established by the spectral OCT/ SLO about the reproduction of RNFL thickness (RNFLT) measurements.Hence; the present study was undertaken for evaluating the retinal Nerve Fibre Layer Thickness using Spectral Domain OCT in a known population. Materials & Methods: A total of 105 subjects were enrolled in the present study. Only those subjects were enrolled in the present study that had refractive errors. In all the subjects, comprehensive ophthalmic examination was carried out through achromatic automated perimetry. Random selection of any one eye was done following the dilatation of the eyes followed by RNFL scanning of the participants with spectral OCT/SLO. All the data was recorded in Microsoft excel sheet and were analysed by SPSS software. Results: Non-significant results were obtained while comparing the RNFL and RNFLT parameters in between males and females. Conclusion: A normative database is obtained in Indian eyes for RNFLT using SD-OCT.
Key words: Optical coherence tomography, Retinal nerve fibre layer.

Received: 12 July, 2019                              Revised:  19 August 2019                         Accepted: 25 August 2019

Corresponding Author: Dr. Gaurav Mohan Kohli, Consultant Vitreo Retinal Services, Satguru Netrachakitsalaya, Chitrakoot, MP, India

This article may be cited as: Kohli CM, Kohli GM. Assessment of retinal fibre layer thickness with the help of Spectral Domain Optical Coherence Tomography in a given population: A clinical study. J Adv Med Dent Scie Res 2014;7(9):36-38.

 
Html View | Download PDF | Current Issue


 
This work is licensed under a Creative Commons Attribution 3.0 License.  
?>