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视网膜血管几何形态及其与无症状性脑梗死的关联。

Retinal vascular geometry and its association to silent brain infarction.

作者信息

Wang Jing, Chen Tingli, Wang Jing, Bian Xiyun, Zhang Xiaowei, Yang Xiaolong, Qi Xing, Li Yihan, Huang Haixia, Qian Qian, Yuan Fei

机构信息

Department of Ophthalmology, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.

Department of Ophthalmology, Shanghai Health And Medical Center, Wuxi, China.

出版信息

BMC Ophthalmol. 2025 Jan 22;25(1):36. doi: 10.1186/s12886-025-03854-x.

DOI:10.1186/s12886-025-03854-x
PMID:39844111
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11752956/
Abstract

OBJECTIVE

To examine the relationship between retinal vascular geometry and silent brain infarction (SBI) in the Chinese population.

METHODS

We conducted a cross-sectional study that retrospectively analyzed the fundus photographs, MRI and other clinical data of 227 SBIs and 227 controls who visited Shanghai Health And Medical Center for physical examination. The retinal vessel fractal dimension (FD), retinal artery fractal dimension (FDa), retinal vein fractal dimension (FDv), central retinal artery diameter in the region from 0.5 ~ 1.0 disc diameter (DD) from the disc margin (CRAEB), central retinal artery diameter in the region from 1.0 ~ 2.0 DD from the disc margin (CRAEC), central retinal vein diameter in the region from 0.5 ~ 1.0 DD from the disc margin (CRVEB), central retinal vein diameter in the region from 1.0 ~ 2.0 DD from the disc margin (CRVEC), retinal arteriovenous diameter ratio in the region from 0.5 ~ 1.0 DD from the disc margin (AVRB), and retinal arteriovenous diameter ratio in the region from 1.0 ~ 2.0 DD from the disc margin (AVRC) were accessed by the Singapore "I" Vessel Assessment (SIVA) software.

RESULTS

FD, FDa, FDv, CRAEB, CRAEC, CRVEB, CRVEC and AVRB in SBI subjects were 1.25 (1.21-1.28), 1.11 (1.08-1.14), 1.09 (1.06-1.13), 168.78 ± 19.39, 163.55 ± 18.97, 235.77 (222.64-254.08), 224.39 ± 23.29, 0.72 ± 0.06, respectively, significantly lower than those of control subjects [1.30 (1.28-1.32), 1.15 (1.13-1.18), 1.14 (1.12-1.16), 196.81 ± 27.94, 183.81 ± 25.46, 273.03 (247.59-296.30), 249.59 ± 32.03, and 0.73 ± 0.08]. Logistic regression results showed that higher FD (OR, 0.04), FDa (OR, 0.07), FDv (OR, 0.06), CRAEB (OR, 0.02), CRAEC (OR, 0.04), CRVEB (OR, 0.03), CRVEC (OR, 0.06), and AVRB (OR, 0.55) were associated with a lower of SBI. There was no significant difference in AVRC between the two groups.

CONCLUSION

Our study shows the association between retinal vascular geometry and SBI, and the results may provide new biomarkers for the early detection of SBI.

摘要

目的

研究中国人群中视网膜血管几何形态与无症状性脑梗死(SBI)之间的关系。

方法

我们进行了一项横断面研究,回顾性分析了227例无症状性脑梗死患者和227例对照者的眼底照片、磁共振成像(MRI)及其他临床资料,这些患者和对照者均前往上海健康与医学中心进行体检。使用新加坡“I”血管评估(SIVA)软件测量视网膜血管分形维数(FD)、视网膜动脉分形维数(FDa)、视网膜静脉分形维数(FDv)、距视盘边缘0.5至1.0视盘直径(DD)区域的视网膜中央动脉直径(CRAEB)、距视盘边缘1.0至2.0 DD区域的视网膜中央动脉直径(CRAEC)、距视盘边缘0.5至1.0 DD区域的视网膜中央静脉直径(CRVEB)、距视盘边缘1.0至2.0 DD区域的视网膜中央静脉直径(CRVEC)、距视盘边缘0.5至1.0 DD区域的视网膜动静脉直径比(AVRB)以及距视盘边缘1.0至2.0 DD区域的视网膜动静脉直径比(AVRC)。

结果

无症状性脑梗死组的FD、FDa、FDv、CRAEB、CRAEC、CRVEB、CRVEC和AVRB分别为1.25(1.21 - 1.28)、1.11(1.08 - 1.14)、1.09(1.06 - 1.13)、168.78 ± 19.39、163.55 ± 18.97、235.77(222.64 - 254.08)、224.39 ± 23.29、0.72 ± 0.06,显著低于对照组[1.30(1.28 - 1.32)、1.15(1.13 - 1.18)、1.14(1.12 - 1.16)、196.81 ± 27.94、183.81 ± 25.46、273.03(247.59 - 296.30)、249.59 ± 32.03和0.73 ± 0.08]。逻辑回归结果显示,较高的FD(比值比[OR],0.04)、FDa(OR,0.07)、FDv(OR,0.06)、CRAEB(OR,0.02)、CRAEC(OR,0.04)、CRVEB(OR,0.03)、CRVEC(OR,0.06)和AVRB(OR,0.55)与较低的无症状性脑梗死风险相关。两组间的AVRC无显著差异。

结论

我们的研究显示了视网膜血管几何形态与无症状性脑梗死之间的关联,该结果可能为无症状性脑梗死的早期检测提供新的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1b/11752956/7270315243ca/12886_2025_3854_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1b/11752956/c654895a4eab/12886_2025_3854_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1b/11752956/1795db495b16/12886_2025_3854_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1b/11752956/0853f898abe8/12886_2025_3854_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1b/11752956/7270315243ca/12886_2025_3854_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1b/11752956/c654895a4eab/12886_2025_3854_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1b/11752956/1795db495b16/12886_2025_3854_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1b/11752956/0853f898abe8/12886_2025_3854_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef1b/11752956/7270315243ca/12886_2025_3854_Fig4_HTML.jpg

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Transl Vis Sci Technol. 2022 Oct 3;11(10):21. doi: 10.1167/tvst.11.10.21.
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Artificial intelligence-enabled retinal vasculometry for prediction of circulatory mortality, myocardial infarction and stroke.人工智能赋能的视网膜血管测量学预测循环死亡率、心肌梗死和中风。
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Retinal biomarkers of Cerebral Small Vessel Disease: A systematic review.
脑小血管病的视网膜生物标志物:一项系统综述。
PLoS One. 2022 Apr 14;17(4):e0266974. doi: 10.1371/journal.pone.0266974. eCollection 2022.
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Retinal vascular geometry detection as a biomarker in diabetes mellitus.视网膜血管几何形态检测作为糖尿病的一种生物标志物
Eur J Ophthalmol. 2022 May;32(3):1710-1719. doi: 10.1177/11206721211033488. Epub 2021 Jul 20.
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Relationship between Retinal Microvasculature, Cardiovascular Risk and Silent Brain Infarction in Hypertensive Patients.高血压患者视网膜微血管、心血管风险与无症状脑梗死之间的关系
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