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Rajiv Raman, Sajib Saha, Shaun Frost, Rehana Khan, Tarun Sharma, Yogesan Kanagasingam; Assessment of vessel parameters as a micro vascular biomarker using a Retinal Vessel Analysis System (VASP). Invest. Ophthalmol. Vis. Sci. 2020;61(7):496.
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© ARVO (1962-2015); The Authors (2016-present)
To assess retinal vessel parameters in diabetic patients and to identify retinal biomarkers to predict diabetic retinopathy and correlating it with the systemic characteristics.
Vessel parameters were generated using a web based platform called VASP. It allows retinal images from various fundus cameras, pre-process and perform automated detection of optic disc and macula. It also generates the vessel network from the image and identify arteries and veins, bifurcations and cross- overs points. Generation of vascular parameters is a multi-stage process. In this study we have used 27 parameters that are applicable in diabetic retinopathy. 21 pairs of baseline and follow-up images of patients affected by diabetes were randomly chosen from Sankara Nethralaya dataset. Difference in thickness between the baseline and follow-up images were computed and normalized with the actual thickness of the baseline image. Prior to computing vascular parameters, baseline and follow-up images were registered based on the vessel centerline.
Majority of these parameters shows 10~20% changes over time. Parameters like, Width ratio and tortuosity for vein in zone B, C & D in which the changes were consistent. Out of 27 parameters, few vessel parameters shows strong correlation with the systemic characteristics. Fractal dimension for vein in zone A, B & C and Number of trees with branch in zone B & C, were statistically increased from baseline to follow with (p Value – 0.014 and 0.043) respectively. It shows strong correlation with arterial pressure, diastolic blood pressure and lipoproteins level (r=0.559, r=0.582). Junctional exponent deviation for artery in zone B & C was statistically decreased from baseline to follow up, (p= 0.033). It shows strong correlation with triglycerides, lipoproteins, cholesterol and pulse pressure levels, (r=0.621).
Identifying early micro vascular changes in patients with diabetes mellitus will allow for the earlier intervention and treatment. Systemic characteristics like Blood pressure and lipid profile should be given more importance for the earlier intervention.
This is a 2020 ARVO Annual Meeting abstract.
Figure 1: a) Six major vessels classified into arteries and veins by VASP b) Baseline image, c) follow-up image, d) mosaic image after registration. Fundus area that was common to both of the images were only used for the analysis
Figure 2: Dividation of fundus image into zones
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