Zang Pengxiao, Hormel Tristan T, Hwang Thomas S, Jia Yali
Casey Eye Institute, Oregon Health & Science University, Portland, Oregon.
Department of Biomedical Engineering, Oregon Health & Science University, Portland, Oregon.
Ophthalmol Sci. 2024 Jul 19;4(6):100579. doi: 10.1016/j.xops.2024.100579. eCollection 2024 Nov-Dec.
Retinal ischemia is a major feature of diabetic retinopathy (DR). Traditional nonperfused areas measured by OCT angiography (OCTA) measure blood supply but not ischemia. We propose a novel 3-dimensional (3D) quantitative method to derive ischemia measurements from OCTA data.
Cross-sectional study.
We acquired 223 macular OCTA volumes from 33 healthy eyes, 33 diabetic eyes without retinopathy, 7 eyes with nonreferable DR, 17 eyes with referable but nonvision-threatening DR, and 133 eyes with vision-threatening DR.
Each eye was scanned using a spectral-domain OCTA system (Avanti RTVue-XR, Visionix/Optovue, Inc) with 1.6-mm scan depth in a 3 × 3-mm region (640 × 304 × 304 voxels) centered on the fovea. For each scanned OCTA volume, a custom algorithm removed flow projection artifacts. We then enhanced, binarized, and skeletonized the vasculature in each OCTA volume and generated a 3D oxygen tension map using a zero-order kinetics oxygen diffusion model. Each volume was scaled to the average retina thickness in healthy controls after foveal registration and flattening of the Bruch's membrane. Finally, we extracted 3D ischemia maps by comparison with a reference map established from scans of healthy eyes using the same processing. To assess the ability of the ischemia maps to grade DR severity, we constructed receiver operating characteristic curves for diagnosing diabetes, referable DR, and vision-threatening DR.
Spearman correlation coefficient and area under receiver operating characteristic curve (AUC) were used to quantify the ability of the ischemia maps to DR.
The ischemia maps showed that the ischemic tissues were at or near pathologically nonperfused areas, but not the normally nonvascular tissue, such as the foveal avascular zone. We found multiple novel metrics, including inferred 3D-oxygen tension, ischemia index, and ischemic volume ratio, were strongly correlated with DR severity. The AUCs of ischemia index measured were 0.94 for diabetes, 0.89 for DR, 0.88 for referable DR, and 0.85 for vision-threatening DR.
A quantitative method to infer 3D oxygen tension and ischemia using OCTA in diabetic eyes can identify ischemic tissue that are more specific to pathologic changes in DR.
Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
视网膜缺血是糖尿病视网膜病变(DR)的主要特征。传统光学相干断层扫描血管造影(OCTA)测量的无灌注区反映的是血液供应情况,而非缺血情况。我们提出一种新颖的三维(3D)定量方法,用于从OCTA数据中得出缺血测量值。
横断面研究。
我们采集了来自33只健康眼睛、33只无视网膜病变的糖尿病眼睛、7只非增殖性DR眼睛、17只增殖性但不威胁视力的DR眼睛以及133只威胁视力的DR眼睛的223个黄斑OCTA容积数据。
使用光谱域OCTA系统(Avanti RTVue-XR,Visionix/Optovue公司)对每只眼睛进行扫描,扫描深度为1.6毫米,扫描区域为以黄斑为中心的3×3毫米区域(640×304×304体素)。对于每个扫描的OCTA容积数据,使用自定义算法去除血流投影伪影。然后,我们对每个OCTA容积数据中的血管系统进行增强、二值化和骨架化处理,并使用零级动力学氧扩散模型生成三维氧分压图。在对黄斑进行配准并使布鲁赫膜变平后,将每个容积数据按健康对照者的平均视网膜厚度进行缩放。最后,通过与使用相同处理方法从健康眼睛扫描数据建立的参考图进行比较,提取三维缺血图。为了评估缺血图对DR严重程度分级的能力,我们构建了用于诊断糖尿病、增殖性DR和威胁视力的DR的受试者操作特征曲线。
使用Spearman相关系数和受试者操作特征曲线下面积(AUC)来量化缺血图对DR的诊断能力。
缺血图显示,缺血组织位于病理无灌注区或其附近,但不包括正常的非血管组织,如黄斑无血管区。我们发现多个新指标,包括推断的三维氧分压、缺血指数和缺血体积比,与DR严重程度密切相关。测量的缺血指数的AUC分别为:糖尿病为0.94,DR为0.89,增殖性DR为0.88,威胁视力性DR为0.85。
一种利用OCTA推断糖尿病患者眼睛三维氧分压和缺血情况的定量方法,能够识别出更具DR病理变化特异性的缺血组织。
在本文末尾的脚注和披露部分可能会找到专有或商业披露信息。