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Relationship between the Retinal Nerve Fibre Layer (RNFL) parameters and Visual field loss in established glaucoma patients in South Indian population


Int J Med Res Health Sci. |

Authors: Elangovan Suma, Puri K Sanjeev
Int J Med Res Health Sci. 2013;2(4):730-736 | | DOI:10.5958/j.2319-5886.2.4.117


Purpose: Optical coherence tomography (OCT) and Scanning LASER polarimetry (GDX-VCC) are newer techniques to analyse retinal nerve fibre loss in glaucoma. This study aims to evaluate the relationship between the Retinal Nerve Fibre Layer(RNFL) parameters   measured using Stratus-OCT and GDx-VCC and visual field loss by Octopus interzeag perimetry in established glaucoma patients in South Indian Population. Materials and methods:  Prospectively planned cross sectional study of 67 eyes of 34 established glaucoma patients on medical management. The mean age of patients was 46.911 years (SD+13.531). A complete ophthalmic examination, automated perimetry with octopus interzeag 1-2-3 perimeter, retinal nerve fibre analysis with GDx VCC and Stratus OCT was done. The differences between the mean RNFL parameters in the presence or absence of field defects were evaluated. Results: The data analysed were mean deviation, loss variance, OCT total average nerve fibre thickness, GDX VCC- TSNIT average and Nerve fibre indicator (NFI).The data were split into two subgroups on the basis of presence or absence of visual field defect and analysed. The difference between the mean value of NFI between the subgroups was highly significant with a p value < 0.01.The OCT parameter Total average nerve fiber layer thickness differed significantly between the two subgroups (p value <0.05). The mean GDx TSNIT average did not differ significantly between the two subgroups.  Conclusion: The total average nerve fibre thickness by OCT correlated better with visual field loss than the GDX TSNIT average .Among the GDx parameters, the NFI was found to be a better indicator of visual field damage than the average thickness.

Key words: Retinal nerve fibre analysis, OCT, GDX-VCC


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