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

机译:自动分析视网膜血管参数以检测印度无视网膜病变征象的糖尿病

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摘要

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.
机译:这项研究调查了印度人群中视网膜血管参数与II型糖尿病之间的关系,而印度糖尿病患者没有可观察到的视网膜病变。在解释性模型中,它引入了两个新的视网膜血管参数:分支角总数(TBA)和平均急性分支角(ABA)作为糖尿病的潜在生物标记。分析了总共180张视网膜图像(两个(左和右)×两个(ODC和MC)×45个受试者(13位糖尿病患者和32位非糖尿病患者))。进行逐步线性回归分析以模拟II型糖尿病与最佳解释子集(预测变量)之间的关联,该解释变量由视网膜血管参数和患者的人口统计学信息组成。估计系数的P值(P <0.001)表明,在α水平为0.05时,新引入的视网膜血管参数TBA和ABA与CRAE,平均曲折度,分支角SD和VB相关。在没有可观察到的视网膜病变迹象的情况下转为II型糖尿病。

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