Severity Scale of Diabetic Macular Ischemia Based on the Distribution of Capillary Nonperfusion in OCT Angiography

IF 3.2 Q1 OPHTHALMOLOGY Ophthalmology science Pub Date : 2024-09-07 DOI:10.1016/j.xops.2024.100603
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引用次数: 0

Abstract

Purpose

To evaluate the severity scales of diabetic macular ischemia (DMI) by analyzing the quantity and distribution of capillary nonperfusion using OCT angiography (OCTA) images.

Design

A single-center, prospective case series.

Participants

Three hundred one eyes from 301 patients with diabetic retinopathy.

Methods

We acquired 3 × 3-mm swept-source OCTA images and created en face images within a central 2.5-mm circle. The circle was divided into 15 × 15-pixel squares and nonperfusion squares (NPSs) were defined as those without retinal vessels. Eyes with high-dimensional spatial data were arranged on a 2-dimensional space using the uniform manifold approximation and projection (UMAP) algorithm and classified by clustering into 5 groups: Initial, Mild, Superficial, Moderate, and Severe.

Main Outcome Measures

Development of a severity scale for DMI.

Results

Eyes arranged on a 2-dimensional UMAP space were divided into 5 clusters, based on the similarity of nonperfusion area distribution. Nonperfusion square counts in the deep layer increased in eyes of the Initial, Mild, Moderate, and Severe groups in a stepwise manner. In contrast, there were no significant changes in superficial NPS counts between eyes of the Initial and Mild groups. In the intermediate stage, eyes of the Superficial group exhibited higher NPS counts in the central sector of the superficial layer compared with those of the Moderate group. The foveal avascular zone extended into the temporal subfield of the deep layer in eyes of the Moderate group. Eyes of the Severe group had significantly poorer visual acuity that was more frequently accompanied with proliferative diabetic retinopathy.

Conclusions

The application of dimensionality reduction and clustering has facilitated the development of a novel severity scale for DMI based on the distribution of capillary nonperfusion in OCTA images.

Financial Disclosure(s)

The authors have no proprietary or commercial interest in any materials discussed in this article.
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基于 OCT 血管造影中毛细血管非灌注分布的糖尿病黄斑缺血严重程度表
目的通过使用 OCT 血管造影(OCTA)图像分析毛细血管非灌注的数量和分布,评估糖尿病黄斑缺血(DMI)的严重程度。方法我们获取 3 × 3 毫米的扫源 OCTA 图像,并在中央 2.5 毫米的圆内创建全脸图像。该圆被划分为 15 × 15 像素的方格,非灌注方格 (NPS) 被定义为没有视网膜血管的方格。使用统一流形近似和投影(UMAP)算法将具有高维空间数据的眼睛排列在二维空间上,并通过聚类将其分为 5 组:结果根据非灌注区分布的相似性,将排列在 2 维 UMAP 空间上的眼球分为 5 组。初始组、轻度组、中度组和重度组的眼球深层非灌注平方数呈阶梯状增加。相比之下,初始组和轻度组的眼睛表层非灌注平方数没有明显变化。在中期阶段,与中度组相比,浅表组眼睛浅层中央区的 NPS 计数更高。中度组眼球的眼窝血管缺失区延伸到了深层的颞下区。结论基于 OCTA 图像中毛细血管非灌注的分布情况,降维和聚类技术的应用促进了新型 DMI 严重程度量表的开发。
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来源期刊
Ophthalmology science
Ophthalmology science Ophthalmology
CiteScore
3.40
自引率
0.00%
发文量
0
审稿时长
89 days
期刊最新文献
Barriers to Extracting and Harmonizing Glaucoma Testing Data: Gaps, Shortcomings, and the Pursuit of FAIRness Severity Scale of Diabetic Macular Ischemia Based on the Distribution of Capillary Nonperfusion in OCT Angiography Editorial Board Table of Contents Cover
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