Swept-source OCTA assessment of iris vasculature as a biomarker for myopic macular degeneration severity

利用扫频源OCTA评估虹膜血管作为近视性黄斑变性严重程度的生物标志物

阅读:3

Abstract

BACKGROUND: To investigate the vessel area density (VAD) and morphological features of the iris in patients at different stages of myopic macular degeneration (MMD) using swept-source optical coherence tomography angiography (SS-OCTA). METHODS: In this retrospective case-control study, 106 eyes of 106 high myopia patients (axial length (AL) ≥26 mm) were included and classified into different MMD categories according to the International META-PM Classification. The VAD of iris, iris volume (IV), area of anterior iris surface (IS), area of posterior IS, and average iris thickness (IT) were evaluated using SS-OCTA. Associations among iris vasculature, iris morphology, and MMD categories were investigated. RESULTS: Full-range, inner-region, and intermediate-region VAD of the iris decreased significantly with increasing MMD severity (all P-trend <0.001), whereas outer-region VAD did not show a significant linear trend. The area of IS was larger in eyes with MMD 2 and MMD 4 compared to the other two groups (all P <0.05). The full-range and outer-region VAD of iris was negatively correlated with AL, while the inner-region VAD of iris was positively correlated with the area of anterior and posterior IS, especially in eyes with MMD 2 (all P <0.05). Multivariate linear regression revealed that greater full-range, inner-region and intermediate-region VAD were all significantly associated with milder MMD, whereas greater outer-region VAD was significantly associated with shorter AL. CONCLUSIONS: Iris blood flow, quantified by VAD, decreased with increasing MMD severity. Iris VAD may represent a promising candidate biomarker for non-invasive monitoring of MMD severity. Additionally, the association between VAD and AL or iris morphology varied across MMD categories.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。