Table of Contents
International Scholarly Research Notices
Volume 2016 (2016), Article ID 8423289, 6 pages
http://dx.doi.org/10.1155/2016/8423289
Research Article

Automatic Analysis of Retinal Vascular Parameters for Detection of Diabetes in Indian Patients with No Retinopathy Sign

1School of Engineering, RMIT University, Melbourne, VIC 3000, Australia
2Save Sight Centre, Delhi 110033, India

Received 19 January 2016; Revised 19 June 2016; Accepted 17 July 2016

Academic Editor: Hugo Quiroz-Mercado

Copyright © 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.

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. value of the estimated coefficients () 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.