Cargando…
Automatic Analysis of Retinal Vascular Parameters for Detection of Diabetes in Indian Patients with No Retinopathy Sign
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) a...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4992751/ https://www.ncbi.nlm.nih.gov/pubmed/27579347 http://dx.doi.org/10.1155/2016/8423289 |
_version_ | 1782449043910164480 |
---|---|
author | Aliahmad, Behzad Kumar, Dinesh Kant Jain, Rajeev |
author_facet | Aliahmad, Behzad Kumar, Dinesh Kant Jain, Rajeev |
author_sort | Aliahmad, Behzad |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4992751 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-49927512016-08-30 Automatic Analysis of Retinal Vascular Parameters for Detection of Diabetes in Indian Patients with No Retinopathy Sign Aliahmad, Behzad Kumar, Dinesh Kant Jain, Rajeev Int Sch Res Notices Research Article 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. Hindawi Publishing Corporation 2016-08-08 /pmc/articles/PMC4992751/ /pubmed/27579347 http://dx.doi.org/10.1155/2016/8423289 Text en Copyright © 2016 Behzad Aliahmad et al. https://creativecommons.org/licenses/by/4.0/ 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. |
spellingShingle | Research Article Aliahmad, Behzad Kumar, Dinesh Kant Jain, Rajeev Automatic Analysis of Retinal Vascular Parameters for Detection of Diabetes in Indian Patients with No Retinopathy Sign |
title | Automatic Analysis of Retinal Vascular Parameters for Detection of Diabetes in Indian Patients with No Retinopathy Sign |
title_full | Automatic Analysis of Retinal Vascular Parameters for Detection of Diabetes in Indian Patients with No Retinopathy Sign |
title_fullStr | Automatic Analysis of Retinal Vascular Parameters for Detection of Diabetes in Indian Patients with No Retinopathy Sign |
title_full_unstemmed | Automatic Analysis of Retinal Vascular Parameters for Detection of Diabetes in Indian Patients with No Retinopathy Sign |
title_short | Automatic Analysis of Retinal Vascular Parameters for Detection of Diabetes in Indian Patients with No Retinopathy Sign |
title_sort | automatic analysis of retinal vascular parameters for detection of diabetes in indian patients with no retinopathy sign |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4992751/ https://www.ncbi.nlm.nih.gov/pubmed/27579347 http://dx.doi.org/10.1155/2016/8423289 |
work_keys_str_mv | AT aliahmadbehzad automaticanalysisofretinalvascularparametersfordetectionofdiabetesinindianpatientswithnoretinopathysign AT kumardineshkant automaticanalysisofretinalvascularparametersfordetectionofdiabetesinindianpatientswithnoretinopathysign AT jainrajeev automaticanalysisofretinalvascularparametersfordetectionofdiabetesinindianpatientswithnoretinopathysign |