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在糖尿病视网膜病变的广角 OCT 血管造影中推断毛细血管无灌注进展。

Inference of Capillary Nonperfusion Progression on Widefield OCT Angiography in Diabetic Retinopathy.

机构信息

Department of Ophthalmology and Visual Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan.

出版信息

Invest Ophthalmol Vis Sci. 2023 Oct 3;64(13):24. doi: 10.1167/iovs.64.13.24.

Abstract

PURPOSE

The purpose of this study was to explore the spatial patterns of the nonperfusion areas (NPAs) on widefield optical coherence tomography angiography (OCTA) images in diabetic retinopathy (DR) and to investigate their associations with NPA progression and DR severity.

METHODS

We prospectively enrolled 201 eyes from 158 patients with DR. Widefield images were obtained using a swept-source OCTA device (Xephilio OCT-S1), followed by the creation of 20-mm (1614 pixels) en face images. Nonperfusion squares (NPSs) were defined as 10 × 10-pixel squares without retinal vessels. Eyes with high-dimensional spatial data were mapped onto a two-dimensional space using the uniform manifold approximation and projection algorithm and divided by clustering. The patterns of NPA distribution were statistically compared between clusters.

RESULTS

All eyes were mapped onto a two-dimensional space and divided into six clusters based on the similarity of NPA distribution. Eyes in clusters 1 and 2 had minimal and small NPAs, respectively. Eyes in clusters 3 and 4 exhibited NPAs in the temporal and inferotemporal regions, respectively. Eyes in cluster 5 displayed NPAs in both superonasal and inferonasal areas. The unique NPA distributions in each cluster encouraged us to propose eight possible pathways of NPA progression. DR severity was not equal between clusters (P < 0.001), for example, 8 (15.7%) of 51 eyes and 15 (65.2%) of 23 eyes had PDR in clusters 1 and 5, respectively.

CONCLUSIONS

Dimensionality reduction and subsequent clustering based on the NPA distribution on widefield OCTA enabled the inference of possible NPA progression in DR.

摘要

目的

本研究旨在探讨糖尿病视网膜病变(DR)患者广角光相干断层扫描血管造影(OCTA)图像中非灌注区(NPAs)的空间分布模式,并研究其与 NPAs 进展和 DR 严重程度的关系。

方法

我们前瞻性纳入了 158 例 DR 患者的 201 只眼。使用扫频源 OCTA 设备(Xephilio OCT-S1)获得广角图像,然后创建 20mm(1614 像素)的面成像。无血管的 10×10 像素正方形被定义为无灌注平方(NPS)。使用一致流形逼近和投影算法(UMAP)将具有高维空间数据的眼睛映射到二维空间,并通过聚类进行划分。在聚类之间对 NPA 分布模式进行统计学比较。

结果

所有眼睛都被映射到二维空间,并根据 NPA 分布的相似性分为六个聚类。聚类 1 和 2 的眼睛 NPAs 最小且较小,聚类 3 和 4 的眼睛分别在颞侧和下颞侧区域有 NPAs,聚类 5 的眼睛在鼻上和鼻下区域均有 NPAs。每个聚类中 NPAs 的独特分布促使我们提出了 8 种可能的 NPAs 进展途径。各聚类间 DR 严重程度不同(P<0.001),例如,聚类 1 和 5 中分别有 8(15.7%)和 15(65.2%)只眼为 PDR。

结论

基于广角 OCTA 上 NPA 分布的降维和聚类,可推断 DR 中 NPAs 的可能进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a09a/10584022/e94357dde337/iovs-64-13-24-f001.jpg

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