Perbandingan Ketebalan Retinal Nerve Fiber Layer (RNFL) dan Ganglion Cell Complex (GCC) Berdasarkan Derajat Glaukoma pada Penderita Primary Open Angle Glaucoma
View/ Open
Date
2023Author
Sinaga, Sri Rejeki
Advisor(s)
Sari, Masitha Dewi
Zubaidah, T. Siti Harilza
Metadata
Show full item recordAbstract
Background: Glaucoma is a group of eye diseases characterized by optic neuropathy accompanied by changes in the shape of the optic disc, sight abnormalities and atrophy of the optic nerve head. Peripapillary RNFL thickness examination has become the standard method for detecting and monitoring glaucoma. With the more recent development of OCT, macular GCC examination can be used to assess RGC damage that has occurred.
Purpose: To determine differences in the thickness of the retinal nerve fiber layer (RNFL) and ganglion cell complex (GCC) based on the degree of glaucoma in patients with primary open angle glaucoma (POAG).
Methods: This study is an observational analytic study with a cross-sectional design. A total of 36 subjects with POAG. The study was conducted at the eye polyclinic at USU Hospital and its network from March to April 2023. All study subjects were examined for RNFL and GCC thickness using SD-OCT and grouped based on the degree of glaucoma using perimetry.
Results: There is a difference in the average thickness of the RNFL and GCC layers at mild, moderate and severe POAG degrees. Using the Spearman and Pearson correlation test, a significant positive correlation was found for mild POAG in the average GCC and superior GCC parameters with all RNFL thickness parameters (p<0.05). The GLV GCC layer had a significant correlation with the inferior RNFL layer (p=0.001) with a correlation value of -0.677. The negative sign indicates that the thicker the GLV layer will be followed by the thinner the inferior layer of RNFL with a strong level of strength (r>0.6-0.8).
Conclusion: Macular GCC can be used as a parameter for the diagnosis of early stages of glaucoma besides RNFL thickness examination.
Collections
- Master Theses [143]