Detecting hypertensive retinopathy using retinal vascular geometry [7D.08]

Triantafyllou, A. and Al-Diri, B. and Anyfanti, P and Hunter, A. and Douma, S (2015) Detecting hypertensive retinopathy using retinal vascular geometry [7D.08]. Journal of hypertension, 33 . e102. ISSN 0263-6352

Full text not available from this repository.

Item Type:Article
Item Status:Live Archive

Abstract

Objective: Identification of subtle vascular alterations of the retina may serve as an early index of hypertension-induced target organ damage, in terms of global cardiovascular risk assessment. Evaluation of retinal vessels can be achieved promptly, easily and non-invasively using the non-mydriatic fundus camera; as such, the need to identify new, reliable, and easily estimated cardiovascular risk markers derived from the retinal vasculature is growing rapidly. Apart from the retinal vascular diameters, research has recently focused on the evaluation and the quantitative estimation of other signs of retinal vascular geometry, such as the bifurcation of the retinal vessels.

Design and method: We studied naive, never-treated patients with recent duration of hypertension, confirmed with 24-hour ambulatory blood pressure (BP) and a control group consisting of healthy volunteers. All patients underwent fundus photography with a non mydriatic NIDEK AFC-230/210 camera. Innovative software was developed to estimate retinal vascular geometry, using novel advances in retinal digital image analysis which allow precise measurements of features of the whole vascular network spread across the retina. The retinal bifurcation geometry was expressed with the asymmetry ratio ([alpha]), area ratio ([beta]) and the bifurcation index ([lambda]).

Results: In total 69 participants, 48 hypertensives and 21 matched normotensives were included in this pilot collaborative study. Hypertensives exhibited all measured tortuosity indices significantly increased ([alpha]: 0.674 vs 0.624, p = 0.001, [beta]: 1.480 vs 1.431, p = 0.008 and [lambda]:0.804 vs 0.771, p = 0.001 respectively). Correlations between the above parameters and the components of office and ambulatory BP are depicted in table 1. The strongest correlation was found with office systolic BP, followed by the nighttime systolic measurements.

Keywords:Hypertensive retinopathy, Retinal vascular geometry, Detecting, NotOAChecked
Subjects:G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
ID Code:26899
Deposited On:07 Apr 2017 11:57

Repository Staff Only: item control page