Banaee Touka, Pourreza Hamidreza, Doosti Hassan, Abrishami Mojtaba, Ehsaei Asieh, Basiry Mohsen, Pourreza Reza
Retina Research Center, Mashhad University of Medical Sciences, Mashhad, Irna.
Department of Ophthalmology, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
J Ophthalmic Vis Res. 2017 Oct-Dec;12(4):361-367. doi: 10.4103/jovr.jovr_238_16.
To compare the distribution of different sized vessels using digital photographs of the ocular surface of diabetic and normal individuals.
In this cross-sectional study, red-free conjunctival photographs of diabetic and normal individuals, aged 30-60 years, were taken under defined conditions and analyzed using a Radon transform-based algorithm for vascular segmentation. The image areas occupied by vessels (AOV) of different diameters were calculated. The main outcome measure was the distribution curve of mean AOV of different sized vessels. Secondary outcome measures included total AOV and standard deviation (SD) of AOV of different sized vessels.
Two hundred and sixty-eight diabetic patients and 297 normal (control) individuals were included, differing in age (45.50 ± 5.19 vs. 40.38 ± 6.19 years, < 0.001), systolic (126.37 ± 20.25 vs. 119.21 ± 15.81 mmHg, < 0.001) and diastolic (78.14 ± 14.21 vs. 67.54 ± 11.46 mmHg, < 0.001) blood pressures. The distribution curves of mean AOV differed between patients and controls (smaller AOV for larger vessels in patients; < 0.001) as well as between patients without retinopathy and those with non-proliferative diabetic retinopathy (NPDR); with larger AOV for smaller vessels in NPDR ( < 0.001). Controlling for the effect of confounders, patients had a smaller total AOV, larger total SD of AOV, and a more skewed distribution curve of vessels compared to controls.
Presence of diabetes mellitus is associated with contraction of larger vessels in the conjunctiva. Smaller vessels dilate with diabetic retinopathy. These findings may be useful in the photographic screening of diabetes mellitus and retinopathy.
通过糖尿病患者和正常人眼表的数码照片比较不同大小血管的分布情况。
在这项横断面研究中,对年龄在30 - 60岁的糖尿病患者和正常人在特定条件下拍摄无赤光结膜照片,并使用基于拉东变换的血管分割算法进行分析。计算不同直径血管所占的图像面积(AOV)。主要观察指标是不同大小血管平均AOV的分布曲线。次要观察指标包括总AOV以及不同大小血管AOV的标准差(SD)。
纳入268例糖尿病患者和297例正常(对照)个体,他们在年龄(45.50 ± 5.19岁 vs. 40.38 ± 6.19岁,P < 0.001)、收缩压(126.37 ± 20.25 mmHg vs. 119.21 ± 15.81 mmHg,P < 0.001)和舒张压(78.14 ± 14.21 mmHg vs. 67.54 ± 11.46 mmHg,P < 0.001)方面存在差异。患者和对照之间平均AOV的分布曲线不同(患者中较大血管的AOV较小;P < 0.001),无视网膜病变的患者和患有非增殖性糖尿病视网膜病变(NPDR)的患者之间也不同;NPDR患者中较小血管的AOV较大(P < 0.001)。在控制混杂因素的影响后,与对照相比,患者的总AOV较小,AOV的总SD较大,血管分布曲线更偏态。
糖尿病的存在与结膜中较大血管的收缩有关。较小血管会随着糖尿病视网膜病变而扩张。这些发现可能有助于糖尿病和视网膜病变的摄影筛查。