Retinal Nerve Fiber Layer Area in Aging and Glaucoma

衰老和青光眼中的视网膜神经纤维层区域

• 批准号: 8306705
• 负责人: Nimesh Bhikhu Patel
• 金额: $ 21.01万
• 依托单位: UNIVERSITY OF HOUSTON
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8306705
• 关键词: Accounting; Affect; Age; Aging; Area; Axon; Biometry; Blinded; Blindness; Blood Vessels; Caliber; Caring; Clinical; Clinical Data; Custom; Data; Detection; Diagnosis; Diagnostic; Dimensions; Direct Costs; Disease; Disease Management; Disease Progression; Early Diagnosis; Early treatment; Eye; Financial compensation; Fluorescein Angiography; Glaucoma; Goals; Health Care Costs; Human; Image; Imaging Device; Imaging technology; Individual; Individual Differences; Laboratories; Lasers; Lead; Left; Measurement; Measures; Methodology; Methods; Modeling; Neuropathy; Optic Nerve; Optical Coherence Tomography; Optometrist; Patients; Psychophysiology; Public Health; Research Personnel; Resolution; Retina; Retinal; Scanning; Severity of illness; Shadowing (Histology); Staging; Stimulus; Structure; Structure-Activity Relationship; Technology; Testing; Thick; Time; Tissues; Training; Treatment outcome; United States; Vision; Visual; Visual Fields; age related; career; cost; diagnostic accuracy; ganglion cell; glaucoma test; human subject; improved; in vivo; legally blind; nonhuman primate; normal aging; optic nerve disorder; prevent; programs; retina blood vessel structure; retinal nerve fiber layer

DESCRIPTION (provided by applicant): The primary objective of this career training proposal is the provide an academic optometrist with the didactic and laboratory training necessary to be an independent researcher. The objective of this project is to improve the precision and accuracy of in vivo measures of the retinal nerve fiber layer (RNFL), a surrogate for the ganglion cell content within the eye, using customized scans for the early detection or progression of glaucoma. Glaucoma is a group of diseases that can lead to irreversible blindness if left untreated. It is estimated that by the year 2030, 37 million individuals worldwide will be blinded by this disease, with 82% of these individuals being over the age of 50. In the United States, glaucoma is a significant public health problem, affecting 2.2 million individuals, and being a leading cause of blindness. Having an elusive cause, the diagnosis or progression of glaucoma is often made by direct assessment of the optic nerve, evaluating the integrity of the retinal nerve fiber layer (RNFL) and measuring the sensitivity of the visual field. Advances in imaging technology allow for an objective assessment of the retina and optic nerve. Specifically, spectral domain optical coherence tomography (SD-OCT) allow for up to 75m axial resolution. A 12 degree circular scan centered on the optic nerve is often used clinically for measuring the thickness of the RNFL. For an accurate and precise assessment of the RNFL, it is important to account for factors such as ocular magnification and the contribution of the non-neuronal content. Using non-invasive methodologies to measure ocular biometry, ocular magnification can be computed. Although glial tissue and small retinal vessels cannot be visualized in SD-OCT scans, the major retinal vessels cast shadows on the underlying tissues, and can be accounted for. The goal of the project is to investigate RNFL thickness and area measures after consideration of ocular magnification and compensation for major retinal vasculature. In particular, these methodologies will be used to 1) investigate changes in the thickness and cross sectional area of the RNFL with glaucoma disease progression in the non-human primate model; 2) investigate RNFL measures and the vascular contribution to the RNFL that occur with normal ageing; 3) investigate RNFL measures and the functional relationship to visual fields in glaucoma patients. Clinical implementation of this technology will improve the diagnostic accuracy and treatment outcomes of patients with glaucoma.

描述（由申请人提供）：本职业培训提案的主要目标是为学术验光师提供成为独立研究员所需的教学和实验室培训。该项目的目标是提高视网膜神经纤维层（RNFL）体内测量的精确度和准确度，视网膜神经纤维层是眼内神经节细胞含量的替代物，使用定制扫描来早期检测青光眼或青光眼进展。青光眼是一组如果不及时治疗可能导致不可逆失明的疾病。据估计，到 2030 年，全球将有 3700 万人因这种疾病失明，其中 82% 年龄在 50 岁以上。在美国，青光眼是一个重大的公共卫生问题，影响着 220 万人。 ，并且是导致失明的主要原因。由于病因难以捉摸，青光眼的诊断或进展通常通过直接评估视神经、评估视网膜神经纤维层 (RNFL) 的完整性并测量视野的敏感性来进行。成像技术的进步可以对视网膜和视神经进行客观评估。具体来说，谱域光学相干断层扫描 (SD-OCT) 可实现高达 75m 的轴向分辨率。临床上常采用以视神经为中心的12度圆形扫描来测量RNFL的厚度。为了准确评估 RNFL，重要的是要考虑眼部放大率和非神经元内容的贡献等因素。使用非侵入性方法测量眼部生物测量，可以计算眼部放大率。尽管 SD-OCT 扫描无法显示胶质组织和小视网膜血管，但主要视网膜血管会在下面的组织上投射阴影，并且可以对其进行解释。该项目的目标是在考虑眼部放大和主要视网膜血管系统补偿后研究 RNFL 厚度和面积测量。特别是，这些方法将用于 1) 在非人类灵长类动物模型中研究 RNFL 厚度和横截面积随青光眼疾病进展的变化； 2) 研究正常衰老过程中的 RNFL 测量值以及血管对 RNFL 的贡献； 3) 研究青光眼患者的 RNFL 测量及其与视野的功能关系。该技术的临床实施将提高青光眼患者的诊断准确性和治疗效果。