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DOI 10.3390/jcm9103294

Медицинская библиотека · Journal of clinical medicine · 2020

Using the Thickness Map from Macular Ganglion Cell Analysis to Differentiate Retinal Vein Occlusion from Glaucoma.

Lee Nam Ho, Park Kee Sup, Lee Han Min, Kim Jung Yeul, Kim Chang-Sik, Kim Kyoung Nam

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Аннотация

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.

Для цитирования: Lee Nam Ho, Park Kee Sup, Lee Han Min, Kim Jung Yeul, Kim Chang-Sik, Kim Kyoung Nam. Using the Thickness Map from Macular Ganglion Cell Analysis to Differentiate Retinal Vein Occlusion from Glaucoma.. Journal of clinical medicine. 2020. DOI: 10.3390/jcm9103294.
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