title: Automatic Analysis of Retinal Vascular Parameters for Detection of Diabetes in Indian Patients with No Retinopathy Sign.
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.
authors: School of Engineering, RMIT University, Melbourne, VIC 3000, Australia.
authors: Behzad
authors: 0000-0002-5671-4913
authors: B
authors: Aliahmad
authors: School of Engineering, RMIT University, Melbourne, VIC 3000, Australia.
authors: Dinesh Kant
authors: 0000-0003-3602-4023
authors: DK
authors: Kumar
authors: Save Sight Centre, Delhi 110033, India.
authors: Rajeev
authors: R
authors: Jain