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采用超广角吲哚菁绿血管造影术对息肉样脉络膜血管病变的脉络膜血管进行定量分析。

Quantitative analysis of choroidal vasculature in polypoidal choroidal vasculopathy using ultra-widefield indocyanine green angiography.

机构信息

Department of Ophthalmology, Yeungnam University College of Medicine, #170 Hyunchungro, Nam-gu, Daegu, 42415, South Korea.

Yeungnam Eye Center, Yeungnam University Hospital, Daegu, South Korea.

出版信息

Sci Rep. 2020 Oct 26;10(1):18272. doi: 10.1038/s41598-020-75506-7.

Abstract

Polypoidal choroidal vasculopathy (PCV) is a common choroidal vascular disease particularly in Asians. However, the underlying pathogenesis of PCV is still yet to be fully elucidated, and the correlation between choroidal vasculature and treatment response of PCV are poorly understood. Accordingly, we sought to find clues to understand the pathogenesis and prognosis of PCV by quantitatively evaluating choroidal vasculature from the entire fundus using ultra-widefield (UWF) indocyanine green angiography (ICGA). In this study, 32 eyes from 29 patients with treatment naïve PCV and 30 eyes from 30 healthy control participants were enrolled. Choroidal vascular density (CVD) of PCV eyes was higher than normal eyes in majority regions including the periphery. CVD was positively correlated with choroidal thickness and choroidal hyperpermeability, supporting that the pathogenesis of PCV may include choroidal congestion and dilatation. Thicker choroid and higher CVD were also correlated with poor treatment response after anti-VEGF injections. The CVD, quantified from UWF ICGA can also be used as an effective image biomarker to predict the treatment response in PCV.

摘要

息肉样脉络膜血管病变(PCV)是一种常见的脉络膜血管疾病,尤其在亚洲人群中更为常见。然而,PCV 的发病机制仍未完全阐明,脉络膜血管与 PCV 治疗反应之间的相关性也知之甚少。因此,我们试图通过使用超广角(UWF)吲哚青绿血管造影(ICGA)从整个眼底定量评估脉络膜血管,来寻找了解 PCV 发病机制和预后的线索。在这项研究中,纳入了 29 名未经治疗的 PCV 患者的 32 只眼和 30 名健康对照参与者的 30 只眼。PCV 眼的脉络膜血管密度(CVD)在包括周边在内的大多数区域均高于正常眼。CVD 与脉络膜厚度和脉络膜高通透性呈正相关,提示 PCV 的发病机制可能包括脉络膜充血和扩张。脉络膜较厚和 CVD 较高也与抗 VEGF 注射后的治疗反应较差相关。从 UWF ICGA 量化的 CVD 也可作为一种有效的图像生物标志物,用于预测 PCV 的治疗反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ec0/7589486/b1a9840b0255/41598_2020_75506_Fig1_HTML.jpg

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