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Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
Published on: May 25, 2020
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Correlation between macular changes and the peripapillary nerve fiber layer in primary open angle glaucoma.
D Manasia1, L Voinea2, I D Vasinca1
1"Titu Maiorescu" University of Medicine Bucharest.
Journal of Medicine and Life
|March 22, 2014
Summary
In primary open angle glaucoma, the peripapillary nerve fiber layer (RNFL) thickness decrease is a better indicator of disease than macular thickness changes. Early glaucoma diagnosis relies on accurate detection of these structural alterations.
Area of Science:
- Ophthalmology
- Medical Imaging
Background:
- Glaucoma is a primary cause of irreversible blindness globally.
- Early diagnosis of glaucoma is critical for effective management and slowing disease progression.
Purpose of the Study:
- To assess changes in macular thickness and volume in primary open angle glaucoma.
- To compare these macular changes with the peripapillary nerve fiber layer (RNFL) thickness.
- To evaluate the diagnostic utility of these parameters using Time Domain Optical Coherence Tomography (TD-OCT).
Main Methods:
- The study included 203 eyes from 102 primary open angle glaucoma patients and 72 normal eyes from 36 controls.
- TD-OCT was used to measure macular thickness/volume and peripapillary RNFL thickness.
- Data were collected between March 2010 and December 2012.
Main Results:
- Glaucoma patients exhibited reduced mean macular thickness and volume compared to controls.
- A significant decrease in peripapillary RNFL thickness was observed in glaucoma patients.
- RNFL thickness reduction demonstrated superior differentiation between glaucomatous and normal eyes compared to macular measurements.
Conclusions:
- Peripapillary RNFL thickness is a more effective biomarker than macular thickness for distinguishing glaucoma.
- TD-OCT measurements provide valuable insights into structural changes in glaucoma.
- Accurate assessment of RNFL thickness is crucial for early glaucoma detection and management.
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