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Maged Habib, Bashir Al-Diri, Roxanne R Crosby-Nwaobi, Sobha Sivaprasad, David Steel; Can Retinal Vascular Geometry predict future progression of Diabetic Retinopathy?. Invest. Ophthalmol. Vis. Sci. 2016;57(12):3406.
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© ARVO (1962-2015); The Authors (2016-present)
Geometrical changes in the retinal vascular network have been reported to be associated with different stages of diabetic retinopathy (DR). Previous studies utilising semi-automated vascular analysis programmes demonstrated potential role of these vascular changes in diagnosis and monitoring disease progression. This study was conducted to evaluate the predictive role of retinal vascular analysis in future progression to proliferative diabetic retinopathy (PDR) using of a novel fully automated vascular analysis tool.
Experimental study using baseline images of 15 diabetic subjects that showed future progression to PDR (progressors) as compared to 28 subjects that showed no signs of retinopathy progression (non-progressors) over the same period of time. Retinal coloured images that preceded the onset of any DR in both groups were used for this study. Geometrical parameters such as area ratios, bifurcation angles, and optimality ratios and deviation factors were estimated and compared for both groups.
The branching angle of larger daughter-vessel branch at a vascular bifurcation at baseline was significantly wider in the progressors group as compared to non-progressors (p=0.023). Significant changes in Optimality parameter as well as optimality deviation were also noted between both groups ( p= 0.035 and 0.037 respectively). There were no differences noted in other parameters
Geometrical vascular changes at baseline before the development of any DR can be detected utilising a fully automated system that demonstrate abnormal retinal vascular networks’ patterns that can be at risk for future development of PDR. Such findings may be used in clinical practice for individualising patient’s care and planning monitoring intervals based on their estimated progression risks.
This is an abstract that was submitted for the 2016 ARVO Annual Meeting, held in Seattle, Wash., May 1-5, 2016.
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