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光学相干断层扫描血管造影显示 CADASIL 患者深层视网膜丛血管密度降低。

OCT-Angiography reveals reduced vessel density in the deep retinal plexus of CADASIL patients.

机构信息

Department of Ophthalmology, University of Muenster Medical Center, Muenster, Germany.

Department of Neurology, University of Muenster Medical Center, Muenster, Germany.

出版信息

Sci Rep. 2018 May 25;8(1):8148. doi: 10.1038/s41598-018-26475-5.

Abstract

Optical coherence tomography angiography (OCT-A) represents the most recent tool in ophthalmic imaging. It allows for a non-invasive, depth-selective and quantitative visualization of blood flow in central retinal vessels and it has an enormous diagnostic potential not only in ophthalmology but also with regards to neurologic and systemic diseases. Cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) is a hereditary vascular small-vessel disease caused by Notch3 mutations and represents the most common form of hereditary stroke disorder. In this study, CADASIL patients prospectively underwent OCT-A imaging to evaluate retinal and choriocapillaris blood flow as well as blood flow at the optic nerve head. The vessel density of the macular region and the size of the foveal avascular zone in the superficial and deep retinal plexus were determined as well as the vessel density at the optic nerve head and in the choriocapillaris. Additionally, cerebral magnetic resonance images were evaluated. The main finding was that vessel density of the deep retinal plexus was significantly decreased in CADASIL patients compared to healthy controls which may reflect pericyte dysfunction in retinal capillaries.

摘要

光学相干断层扫描血管造影术(OCT-A)是眼科成像领域的最新工具。它可以非侵入性、深度选择性和定量地可视化视网膜中央血管的血流,具有巨大的诊断潜力,不仅在眼科,而且在神经病学和系统性疾病方面也是如此。伴有皮质下梗死和白质脑病的脑常染色体显性遗传性动脉病(CADASIL)是一种由 Notch3 突变引起的遗传性小血管疾病,是最常见的遗传性中风疾病。在这项研究中,前瞻性地对 CADASIL 患者进行了 OCT-A 成像,以评估视网膜和脉络膜毛细血管的血流以及视神经头的血流。确定了黄斑区域的血管密度和浅层和深层视网膜丛中无血管区的大小以及视神经头和脉络膜毛细血管中的血管密度。此外,还评估了脑部磁共振图像。主要发现是,与健康对照组相比,CADASIL 患者的深层视网膜丛血管密度明显降低,这可能反映了视网膜毛细血管周细胞功能障碍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fbf1/5970147/59f0426ef288/41598_2018_26475_Fig1_HTML.jpg

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