Estimation of diagnostic value of optical coherence tomography angiography parameters in patients with diabetic retinopathy
Year: 2020, volume 16 Issue: №1 Pages: 210-215
Heading: Ophtalmology Article type: Original article
Authors: Goydin А.Р., Fabrikantov O.L., Pronichkina M.M., Misyurev D.M.
Organization: Tambov State University n.a. G.R. Derzhavin, S. Fedorov Eye Microsurgery Federal State Institution
Heading: Ophtalmology Article type: Original article
Authors: Goydin А.Р., Fabrikantov O.L., Pronichkina M.M., Misyurev D.M.
Organization: Tambov State University n.a. G.R. Derzhavin, S. Fedorov Eye Microsurgery Federal State Institution
Summary:
The purpose of the study is to estimate diagnostic value of optical coherence tomography angiography (OCT-angiography) parameters in patients with diabetic retinopathy. Material and Methods. The investigation included 102 patients with diabetes mellitustype II and different stages of diabetic retinopathy and 48 clinically healthy people. Apart from routine ophthalmological examination all patients underwent optical coherence tomography of the macular area. To estimate diagnostic value of OCT-angiography, we performed ROC-analysis of the most informative parameters. Results. The most significant differences in OCT-angiography data between patients with different stages diabetic retinopathy (groups I and II) and healthy people (control group) were noted for general vascular density in all sectors (Whole image) and parafoveal zone (Parafovea) of the superficial vascular plexus. The ROC-analysis showed high sensitivity and specificity of the same zones for control group and group I, as well as for groups I and II. Conclusion. The capillary network density for Parafovea in patients with diabetes mellitus is less than 52% and for Whole image it is less than 48.5%, which indicates the presence of non-proliferative and pre-proliferative retinopathy, while the reduction of Parafovea parameters lower than 43.6% and Whole image lower than 47.5% indicates proliferative diabetic retinopathy.
Keywords: diabetic retinopathy
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