Related Experiment Video
Updated: Dec 5, 2025
Using Retinal Imaging to Study Dementia
Published on: November 6, 2017
Using the Thickness Map from Macular Ganglion Cell Analysis to Differentiate Retinal Vein Occlusion from Glaucoma
Nam Ho Lee1, Kee Sup Park2, Han Min Lee2
1Mindeulle Eye Clinic, Boeun 28950, Korea.
Purpose:
We hypothesized that the thickness map from macular ganglion cell analysis (GCA) acquired from spectral-domain optical coherence tomography can be used to differentiate retinal vein occlusion (RVO) from glaucoma.
Methods:
In this retrospective case control study, 37 patients with resolved RVO and 74 patients with primary open-angle glaucoma (POAG) were enrolled. Two independent examiners diagnosed patients with RVO or POAG based on the topographic pattern in the GCA thickness map. Inter-observer agreement for a decision between RVO and POAG was assessed using kappa statistics. Diagnostic specificity and accuracy were calculated.
Results:
Inter-observer agreement was good, with a kappa value of 0.765 (95% confidence interval, 0.634-0.896, p < 0.001). The diagnostic specificity of RVO from POAG using the GCA thickness map was 93.2% and diagnosis accuracy was 80.4%.
Conclusions:
An irregular GCA thickness map represents a simple and convenient differential diagnostic clue to distinguish RVO from POAG.
