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首页> 外文期刊>Scientific reports. >Characterizing Branching Vascular Network Morphology in Polypoidal Choroidal Vasculopathy by Optical Coherence Tomography Angiography
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Characterizing Branching Vascular Network Morphology in Polypoidal Choroidal Vasculopathy by Optical Coherence Tomography Angiography

机译:光学相干断层扫描血管造影术表征息肉样脉络膜血管病分支血管网络形态。

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This study analyze the morphological characteristics of branching vascular networks (BVN) in polypoidal choroidal vasculopathy (PCV) using optical coherence tomography angiography (OCTA), and correlate imaging characteristics with clinical presentations. We presented a retrospective observational case series for fifty cases of PCV confirmed by indocyanine green angiography. Macular OCTA were done by the AngioVue. The PCV cases were classified by distinct morphologic patterns of BVN by two retina specialists and clinical features were analyzed. The sensitivity of polyp detection by OCTA was 86% after manual segmentation and that of BVN was 90%. Three distinct morphologic patterns of BVN were identified. (1) The "Trunk" pattern (47%) exhibited major vessel trunk with features including presence of drusens, thin choroid, and larger BVN area. (2) The "Glomeruli" pattern (33%) showed anastomotic vascular network without major trunk. (3) The "Stick" pattern (20%) had localized BVN and the thickest choroid. Subtypes 2 and 3 held higher recurrence rate. In conclusions, the precise visualization of BVN on OCTA supported that OCTA might be a noninvasive tool to study the morphology of BVN in PCV, which exhibits three different morphological types. Identifying the morphology of BVN has the potential to prognosticate outcomes in PCV patients.
机译:这项研究使用光学相干断层扫描血管造影术(OCTA)分析了息肉样脉络膜血管病(PCV)中分支血管网络(BVN)的形态特征,并将影像学特征与临床表现相关联。我们提出了一个回顾性观察病例系列,通过吲哚菁绿色血管造影证实了五十例PCV。黄斑OCTA由AngioVue完成。由两名视网膜专家按照不同的BVN形态学模式对PCV病例进行分类,并分析其临床特征。手动分割后,OCTA检测息肉的敏感性为86%,BVN的敏感性为90%。确定了三种不同的BVN形态学模式。 (1)“躯干”型(47%)显示出主要的血管躯干,其特征包括存在疣状疣,脉络膜薄,BVN面积大。 (2)“肾小球”模式(33%)显示吻合血管网络,无主干。 (3)“ Stick”模式(20%)具有局部BVN和最厚的脉络膜。亚型2和3的复发率更高。总之,在OCTA上BVN的精确可视化支持OCTA可能是研究PCV中BVN形态的一种非侵入性工具,它表现出三种不同的形态类型。识别BVN的形态具有预后PCV患者预后的潜力。

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