Hemodynamics in the retinal vasculature during the progression of diabetic retinopathy

Caliva, Francesco, Leontidis, Georgios, Chudzik, Piotr , Hunter, Andrew, Antiga, Luca and Al-Diri, Bashir (2017) Hemodynamics in the retinal vasculature during the progression of diabetic retinopathy. Journal for Modeling in Ophthalmology, 1 (4). pp. 6-15. ISSN 2468-3922

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Item Type:Article
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Purpose: Several studies have established, using various measurement modalities, that progression from diabetes to diabetic retinopathy is associated with changes in haemodynamics or measurable vascular geometry. In this study we take vessel measurements from standard fundus images, and estimate haemodynamic parameters (which are not directly observable) using a simple haemodynamic model. We show that there are statistically significant changes in some estimated haemodynamic parameters associated with the development of DR.
Methods: A longitudinal study of twenty-four subjects was conducted. For each subject four fundus images were used, taken annually during the three years before the appearance of DR and in the first year of DR. A venous and arterial vascular bifurcation, each of which consisted of a parent vessel and two child branches was extracted, and at the branching nodes a zero dimensional model estimated the fluid dynamic conditions in terms of volumetric blood flow, blood flow velocity, nodal pressure, wall shear stress and Reynolds number. These features were statistically analyzed using linear mixed models.
Results: A number of parameters, primarily venous, showed significant change with the development of DR, including early change two years before the onset of DR. A large proportion of overall variance is accounted for by individual patient differences, making progressive study essential.
Conclusion: This is the first paper to demonstrate that haemodynamic feature estimates extracted from standard fundus images are sensitive to progression from diabetes to DR. In our future work, we aim to test whether the variations in haemodynamic conditions are predictive of progression prior to the appearance of retinal lesions.

Keywords:Retinal microcirculation, Diabetic retinopathy, Retinal trees, Retinal vascular geometry, Retinal biomarkers
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
G Mathematical and Computer Sciences > G150 Mathematical Modelling
G Mathematical and Computer Sciences > G340 Statistical Modelling
G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
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ID Code:24880
Deposited On:09 Nov 2016 14:59

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