Novel Glaucoma Diagnostics for Structure and Function

新型青光眼结构和功能诊断

• 批准号: 8308561
• 负责人: Joel S Schuman
• 金额: $ 74.54万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-08-01 至 2014-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8308561
• 关键词: Acceleration; Area; Axon; Biological; Biomechanics; Blindness; Boston; Characteristics; Clinical; Computer software; Computers; Data; Detection; Devices; Diagnostic; Discrimination; Disease Progression; Early Diagnosis; Early treatment; Engineering; Evaluation; Eye; Functional Imaging; Functional disorder; Glaucoma; Goals; Health; Human Resources; Image; Image Analysis; Imaging Device; Imaging technology; Institutes; Knowledge; Lasers; Lead; Light; Longitudinal Studies; Massachusetts; Measurable; Measurement; Measures; Methods; Modality; Monitor; Morphologic artifacts; Normal Range; Ophthalmologist; Ophthalmology; Ophthalmoscopy; Optic Disk; Optical Coherence Tomography; Perimetry; Post Technic; Process; Property; Research Personnel; Retina; Retinal; Retinal Ganglion Cells; Scanning; Scientist; Sensitivity and Specificity; Source; Speed; Staging; Statistical Methods; Structure; Suspect Glaucomas; Techniques; Technology; Testing; Time; Tissues; Universities; Ursidae Family; base; cohort; design; image processing; imaging modality; improved; innovation; innovative technologies; insight; macula; neuronal cell body; novel; novel diagnostics; novel strategies; polarimetry; prevent; programs; research study; retinal nerve fiber layer; skills

Glaucoma is the second most common cause of blindness worldwide. Our broad, long-term objectives are to investigate innovative technologies and methods that will accurately and reproducibly provide the earliest possible evidence of glaucoma and its progression so as to prevent blindness. We have improved on the program that we have pursued for the past ten years in a number of ways, but importantly we have assembled a unique collaborative group for this project. This team includes ophthalmologists, engineers, computer scientists and statisticians, as well as appropriate support personnel, from the University of Pittsburgh, Tufts University, Massachusetts Institute of Technology and Carnegie Mellon University. We have brought excellent investigators from disparate fields to bring new insights, knowledge and skills from outside of ophthalmology to bear on innovations in technology for glaucoma disease and progression detection. We will accomplish this via cross-sectional and longitudinal studies using cohorts of healthy, glaucoma suspect and glaucomatous subjects. Our Specific Aims are to (1) detect the earliest possible evidence of glaucomatous damage and progression. We will compare objective, quantitative ocular structural measurements obtained by ocular imaging and functional measurements, to test the prediction that changes structural functional change, and to characterize those changes, (2) advance optical coherence tomography (OCT) software innovations that assess the intra-retinal layers in the peripapillary and macular areas as well as the optic nerve head (ONH). This aim includes employing innovative image processing and image analysis techniques, as well as new techniques to improve scan quality post hoc, (3) identify the particular clusters of clinical characteristics distinct to specific glaucoma diagnostic technologies resulting in the earliest detection of glaucoma and its progression. We will use innovative automated machine classifiers and state-of-the-art statistical methods which use the best combination of parameters generated by the imaging devices in order to determine the optimal use of each device in assessing disease and progression, (4) advance micron-scale tomographic imaging using OCT for improved understanding of the anatomical and biomechanical properties of the ONH and intra-retinal substructure in the macular and peripapillary regions in health and in glaucoma. These are key areas involved in the glaucomatous process. This experiment is designed to improve our understanding of glaucoma and potentially create a new glaucoma diagnostic. Swept-source and ultra-high speed spectral- domain OCT will be used to obtain detailed information in the ONH, lamina cribrosa and retina. Rapid image acquisition by these devices will minimize OCT scanning artifact, and modulation of OCT light source wavelengths will allow optimization of imaging at various tissue depths. We expect that these studies will lead to our ability to detect glaucoma and its progression earlier than ever before with high sensitivity and specificity, enabling early intervention to prevent glaucoma blindness.

青光眼是全球第二大常见的致盲原因。我们广泛的长期目标 是研究创新的技术和方法，将准确和可重复地提供 最早可能的青光眼及其进展的证据，以防止失明。我们改进了 我们在过去十年中以多种方式追求的计划，但重要的是，我们 为这个项目组建了一个独特的合作小组。这个团队包括眼科医生，工程师， 计算机科学家和统计学家，以及适当的支持人员，从大学 匹兹堡、塔夫茨大学、马萨诸塞州理工学院和卡内基梅隆大学。我们有 来自不同领域的优秀调查人员带来了新的见解，知识和技能， 眼科学将致力于青光眼疾病和进展检测技术的创新。我们将 通过使用健康人群、青光眼疑似患者和 昏迷的受试者。我们的具体目标是：（1）尽早发现昏迷性疾病的证据， 损伤和进展。我们将比较客观的，定量的眼部结构测量， 眼部成像和功能测量，以测试改变结构功能变化的预测， 并描述这些变化，（2）先进的光学相干断层扫描（OCT）软件创新 评估视乳头周围和黄斑区以及视神经乳头的视网膜内层 （ONH）。这一目标包括采用创新的图像处理和图像分析技术，以及 提高扫描质量的新技术，（3）识别临床特征的特定集群 与特定的青光眼诊断技术不同，其导致青光眼的最早检测， 进展我们将使用创新的自动机器分类器和最先进的统计方法 其使用由成像设备生成的参数的最佳组合， 在评估疾病和进展中最佳使用每种设备，（4）先进的微米级断层扫描 使用OCT进行成像，以更好地了解ONH的解剖和生物力学特性 以及健康人和青光眼中黄斑和视乳头周围区域的视网膜内亚结构。这些是关键 参与昏迷过程的区域。这个实验是为了提高我们对 青光眼，并可能创造一种新的青光眼诊断。扫频光源和超高速光谱- 域OCT将用于获得ONH、筛板和视网膜中的详细信息。快速图像 通过这些设备的采集将最小化OCT扫描伪影和OCT光源的调制 波长将允许在各种组织深度处的成像的优化。我们希望这些研究能够 我们比以往任何时候都更早地检测青光眼及其进展的能力， 特异性，使早期干预，以防止青光眼失明。