Using the thickness map from macular ganglion cell analysis to differentiate retinal vein occlusion from glaucoma

2Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.

Abstract

Purpose: We hypothesized that the thickness map frommacular 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.

Cite

CITATION STYLE

APA

Lee, N. H., Park, K. S., Lee, H. M., Kim, J. Y., Kim, C. S., & Kim, K. N. (2020). Using the thickness map from macular ganglion cell analysis to differentiate retinal vein occlusion from glaucoma. Journal of Clinical Medicine, 9(10), 1–12. https://doi.org/10.3390/jcm9103294

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free