Fig 1.
Image binarization of EDI OCT scans.
A- Non segmented scan of patient with mild non proliferative diabetic retinopathy (NPDR); B- Segmented scan of patient with mild non NPDR. C- Non segmented scan of patient with moderate NPDR; D- segmented scan of patient with moderate NPDR; E- Non segmented scan of patient with severe NPDR; F- segmented scan of patient with severe NPDR; G- Non segmented scan of patient with proliferative diabetic retinopathy (PDR); H- Segmented scan of patient with PDR.
Table 1.
Demographic characteristics of subjects in normal and DR with DME groups.
Table 2.
Descriptive statistics for CVI according to diabetic retinopathy grades.
Fig 2.
Correlation between grades of diabetic retinopathy (DR) and subfoveal choroidal thickness (SFCT) and choroidal vascularity index (CVI); A: Box-plot for CVI according to grades of DR; B: Box-plot for SFCT according to grades of DR.
Table 3.
Descriptive statistics for SFCT and CVI according to pattern of DME.
Fig 3.
Scatter plots to demonstrate correlation between choroidal vascularity index (CVI) and subfoveal choroidal thickness (SFCT) with other variables including visual acuity (VA).
3A: Scatter plot showing relationship between vision (logMAR VA) and CVI. 3B: Scatter plot showing relationship between vision (logMAR VA) and SFCT. 3C: Scatter plot showing relationship between CMT and CVI. 3D: Scatter plot showing relationship between CMT and SFCT. 3E: Scatter plot showing relationship between CMV and CVI. 3F: Scatter plot showing relationship between CMV and SFCT. 3G: Scatter plot showing relationship between Total volume (TMV) and CVI. 3H: Scatter plot showing relationship between Total volume (TMV) and SFCT. 3I: Scatter plot showing relationship between SFCT and CVI.
Table 4.
Linear regression analyses of ocular and systemic factors associated with sub foveal choroidal thickness (SFCT).
Table 5.
Linear regression analyses of ocular and systemic factors associated with choroidal vascularity index (CVI).