Automatic analysis of retinal vascular parameters for detection of diabetes in Indian patients with no retinopathy sign

Aliahmad, B, Kumar, D and Jain, R 2016, 'Automatic analysis of retinal vascular parameters for detection of diabetes in Indian patients with no retinopathy sign', International Scholarly Research Notices, 8423289, pp. 1-6.


Document type: Journal Article
Collection: Journal Articles

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Title Automatic analysis of retinal vascular parameters for detection of diabetes in Indian patients with no retinopathy sign
Author(s) Aliahmad, B
Kumar, D
Jain, R
Year 2016
Journal name International Scholarly Research Notices
Article Number 8423289
Start page 1
End page 6
Total pages 6
Publisher Hindawi Publishing Corporation
Abstract This study has investigated the association between retinal vascular parameters with type II diabetes in Indian population with no observable diabetic retinopathy. It has introduced two new retinal vascular parameters: total number of branching angles (TBA) and average acute branching angles (ABA) as potential biomarkers of diabetes in an explanatory model. A total number of 180 retinal images (two (left and right) × two (ODC and MC) × 45 subjects (13 diabetics and 32 nondiabetics)) were analysed. Stepwise linear regression analysis was performed to model the association between type II diabetes with the best subset of explanatory variables (predictors), consisting of retinal vascular parameters and patients' demographic information. P value of the estimated coefficients ( P < 0.001 ) indicated that, at α level of 0.05, the newly introduced retinal vascular parameters, that is, TBA and ABA together with CRAE, mean tortuosity, SD of branching angle, and VB, are related to type II diabetes when there is no observable sign of retinopathy.
Subject Image Processing
Biomedical Engineering not elsewhere classified
DOI - identifier 10.1155/2016/8423289
Copyright notice © 2016 Behzad Aliahmad et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
ISSN 2356-7872
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