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Comparative analysis of retinal microvascular parameters in healthy individuals with or without carotid artery stenosis or plaque

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机构: [1]The Second Clinical Medical College of Jinan University, Shenzhen, China. [2]Top Healthy Medical Group, Shenzhen, China. [3]Shenzhen Eye Hospital, Jinan University, Shenzhen Eye Institute, Shenzhen, China. [4]EVision Technology (Beijing) Co., Ltd., Beijing, China.
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关键词: Carotid artery stenosis carotid intima media thickness fundus photography fractal dimension vascular density

摘要:
To evaluate the correlations between retinal microvascular changes and carotid artery stenosis (CAS) with and without plaques using fundus photography.Patients who had undergone bilateral carotid ultrasonography and bilateral fundus photography were divided into the following groups based on the carotid intima-media thickness (IMT) determined via ultrasonography in this retrospective, observational study: the control and CAS (comprising CAS with and without plaque subgroups) groups. The following retinal indicators were determined via fundus photography based on a deep learning algorithm: the arteriole-to-venule ratio (AVR), whole retinal fractal dimension (FD), arteriolar fractal dimension (AFD), venular fractal dimension (VFD), vascular density (VD), and VD within 3 mm (VD3mm) and 5 mm (VD5mm) from the macular fovea. The correlations between these indicators and IMT were also assessed.In total, 715 participants, comprising 313 participants with CAS (CAS group; 91 with plaque and 222 without plaque) and 402 participants without CAS (control group), participated in this study. AFD, VFD, and FD in the CAS group were significantly lower than those in the control group (all p < 0.001). VD, VD3mm, and VD5mm showed significant differences between the groups (all p < 0.05). VFD in the CAS with plaque group was lower than that in the group without plaque (p = 0.014). VD3mm, and VD5mm showed significantly negative correlations with IMTmin in the CAS subgroup.AFD, VFD, FD, VD, VD3 mm, and VD5 mm decreased, and fundus photography based on deep learning algorithm may provide new approaches for screening of CAS.

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出版当年[2023]版:
大类 | 4 区 医学
小类 | 4 区 眼科学
最新[2023]版:
大类 | 4 区 医学
小类 | 4 区 眼科学
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出版当年[2022]版:
Q4 OPHTHALMOLOGY
最新[2023]版:
Q3 OPHTHALMOLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2022版] 出版当年五年平均 出版前一年[2021版] 出版后一年[2023版]

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第一作者机构: [1]The Second Clinical Medical College of Jinan University, Shenzhen, China.
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