3D OCT Angiography for quantitative characterization of diabetic retinopathy

3D OCT 血管造影定量表征糖尿病视网膜病变

• 批准号: 9299870
• 负责人: Amir H Kashani
• 金额: $ 20.63万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-01 至 2019-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9299870
• 关键词: African American; American; Angiography; Architecture; Area; Blood Vessels; Blood capillaries; Brain Mapping; Brain imaging; Clinic; Clinical; Clinical Research; Communities; Computational algorithm; Computer software; Data; Data Analyses; Databases; Detection; Development; Diabetic Retinopathy; Dimensions; Disease; Disease stratification; Early Diagnosis; Early treatment; Edema; Eye; Eye diseases; FDA approved; Fluorescein Angiography; Functional disorder; Funding; Geometry; Image; Image Analysis; Impairment; Ischemia; Laboratories; Magnetic Resonance Imaging; Measures; Methods; Microaneurysm; Modeling; Monitor; Morphology; Optical Coherence Tomography; Pathology; Perfusion; Play; Population; Population Study; Public Health; Publishing; Research; Resolution; Retina; Retinal; Retinal Diseases; Retinal Edemas; Retinal Vein Occlusion; Risk; Role; Scientist; Severities; Severity of illness; Shunt Device; Skeleton; Software Tools; Source Code; Surface; Symptoms; Techniques; Testing; Three-Dimensional Imaging; Three-dimensional analysis; Time; Translating; Visual; Work; base; capillary; clinical Diagnosis; clinically relevant; cohort; computerized tools; cotton wool spots; density; diabetic; histological studies; macula; neovascularization; neuroimaging; neurosensory; non-invasive imaging; novel; retinal ischemia; shape analysis; tool; web site

Abstract In the clinical diagnosis of diabetic retinopathy (DR), fluorescein angiography (FA) is currently the only method used routinely for the detection and treatment of ischemia, but it is an invasive method and not sensitive to early microvascular changes before the onset of visual symptoms. For the early detection and management of ischemia in DR, Optical Coherence Tomography Angiography (OCTA) is a novel method that has obtained FDA approval in 2015. Compared with FA, OCTA allows non-invasive imaging of both the neurosensory retina as well as the retinal vasculature at ~10m resolution. Some recent studies have successfully used OCTA to extract quantitative 2D metrics that are well correlated with DR severity. Dr. Kashani’s group has pioneered several of the 2D OCTA metrics for the quantitative assessment of capillary morphology and density. While highly valuable, these 2D OCTA metrics were derived from the en face projection of the 3D OCTA data, and therefore inevitably obscure the geometric and topological information in the original 3D vasculature networks. To overcome this fundamental limitation, Drs. Shi and Kashani will collaborate in this R21 project to develop truly 3D metrics for the automated analysis of OCTA data and apply them for the early diagnosis of DR in large scale eye studies. For brain mapping research, Dr. Shi’s group at Laboratory of Neuro Imaging (LONI) of USC has developed various advanced computational tools for 3D shape analysis based on generally applicable principles from intrinsic geometry. In this project, we will translate and adapt these tools for 3D retinal vasculature modeling and analysis using OCTA data. There are three specific aims in this project: (1) Apply cutting-edge computational algorithms developed in brain imaging to develop novel 3D OCTA metrics for volume- and surface-based quantitation of retinal capillary density and morphology. (2) Define the relationship and reliability of 2D- and 3D-OCTA metrics with clinical severity of DR using our previously published cohorts of healthy and diabetic subjects. (3) Validate the relationship of 2D- and 3D-OCTA metrics with DR severity among a well-characterized population from the NEI funded African American Eye Diseases Study (AFEDS) and identify OCTA metrics associated with currently undetectable (sub-clinical) retinopathy. Given the rich computational tools developed by Dr. Shi’s group at LONI and the already collected, large-scale OCTA data (n=396) from the AFEDS study and Dr. Kashani’s published studies, the risk of this project is low, but the resulting 3D OCTA metrics and associated software tools will be highly valuable to the research and potentially clinical community. We will make all the software tools and source codes developed in this project freely available through the NITRC (http://www.nitrc.org) and LONI website (http://www.loni.usc.edu/Software).

抽象的 在糖尿病视网膜病变（DR）的临床诊断中，荧光素血管造影（FA）是目前唯一的方法 常规用于缺血的检测和治疗，但它是一种侵入性方法，并且对缺血不敏感 视觉症状出现之前的早期微血管变化。为了及早发现和管理 DR 中的缺血，光学相干断层扫描血管造影 (OCTA) 是一种新方法，已获得 2015年获得FDA批准。与FA相比，OCTA可以对神经感觉视网膜进行无创成像 以及约 10μm 分辨率的视网膜脉管系统。最近的一些研究成功地使用 OCTA 提取与 DR 严重程度密切相关的定量 2D 指标。 Kashani 博士的团队开创了 一些用于定量评估毛细血管形态和密度的 2D OCTA 指标。尽管 这些 2D OCTA 指标非常有价值，源自 3D OCTA 数据的正面投影，并且 因此不可避免地会掩盖原始 3D 脉管系统网络中的几何和拓扑信息。 为了克服这一基本限制，博士。 Shi 和 Kashani 将在这个 R21 项目中合作开发 用于自动分析 OCTA 数据的真正 3D 指标，并将其应用于大规模 DR 的早期诊断 规模眼睛研究。南加州大学神经影像实验室（LONI）石博士团队进行脑图谱研究 基于普遍适用的3D形状分析开发了各种先进的计算工具 来自内在几何的原理。在这个项目中，我们将翻译和调整这些工具以用于 3D 视网膜 使用 OCTA 数据进行脉管系统建模和分析。本项目有3个具体目标：（1）应用 在脑成像领域开发的尖端计算算法，用于开发新颖的 3D OCTA 指标 视网膜毛细血管密度和形态的基于体积和表面的定量。 (2)定义关系 使用我们之前发布的队列来评估 2D 和 3D-OCTA 指标的可靠性以及 DR 临床严重程度 健康和糖尿病受试者。 (3) 验证 2D-和 3D-OCTA 指标与 DR 严重性的关系 NEI 资助的非裔美国人眼病研究 (AFEDS) 中具有明确特征的人群 并确定与当前无法检测到的（亚临床）视网膜病变相关的 OCTA 指标。鉴于有钱人 LONI石博士团队开发的计算工具以及已经收集的大规模OCTA数据 (n=396) 从 AFEDS 研究和 Kashani 博士发表的研究来看，该项目的风险较低，但 由此产生的 3D OCTA 指标和相关软件工具对于研究和潜在的价值非常高 临床社区。我们将免费开放本项目中开发的所有软件工具和源代码 可通过 NITRC (http://www.nitrc.org) 和 LONI 网站 (http://www.loni.usc.edu/Software) 获取。