PATTERN DISCRIMINATION IN GLAUCOMA

青光眼的模式辨别

• 批准号: 3264202
• 负责人: BRUCE A DRUM
• 金额: $ 9.7万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-08-01 至 1991-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3264202
• 关键词: computer assisted diagnosis; cone cell; dark adaptation; diagnosis design /evaluation; diagnosis quality /standard; early diagnosis; glaucoma; glaucoma test; human subject; light adaptations; optic nerve disorder; perimetry; retinal ganglion; rod cell; sequential perception; visual fields; visual photosensitivity; visual stimulus; visual threshold

The clinical diagnosis of glaucoma relies heavily on visual field testing. However, current visual field tests based on simple light detection can yield normal results in the presence of extensive glaucomatous nerve damage. New types of visual field tests are needed that can reliably detect glaucoma at an early stage. The proposed research will address this need with an investigation of pattern discrimination in the normal and the glaucomatous visual field. The project will focus on a new stimulus paradigm in which the subject's task is to detect a patch of organized dots in a surrounding field of randomly arranged dots. The stimuli are presented on a CRT screen under computer control, and the arrangement of dots in the target patch can be varied from completely random to completely regular, or coherent. Specific studies will examine how changes of dot size, target size, dot dynamics, average luminance contrast and target coherence affect the target visibility for normal control subjects, glaucoma suspects and patients with confirmed glaucoma. The long-range goals of the research are to: 1) identify stimulus parameters that optimize the sensitivity and specificity of pattern discrimination testing for glaucoma detection and incorporate these optimal parameters into an efficient protocol for clinical use; 2) determine the relative performance of optimized pattern discrimination tests and standard clinical visual field tests for early detection of glaucoma; 3) understand the relationship between pattern discrimination loss and optic nerve damage in glaucoma.

青光眼的临床诊断很大程度上依赖于视野 测试。 然而，目前的视野测试基于简单的光 在存在广泛的情况下检测可以产生正常结果 青光眼神经损伤。 新型视野测试是 需要能够在早期阶段可靠地检测青光眼。 这 拟议的研究将通过调查来解决这一需求 正常和青光眼视觉的模式辨别 场地。 该项目将重点关注新的刺激范式，其中 受试者的任务是检测一个区域中的一块有组织的点 随机排列的点的周围区域。 刺激物是 在计算机控制下呈现在 CRT 屏幕上， 目标斑块中点的排列可以变化 完全随机到完全规则或连贯。 具体的 研究将检查点大小、目标大小、点的变化如何 动态、平均亮度对比度和目标相干性 影响正常对照受试者、青光眼的目标可见度 嫌疑人和确诊青光眼的患者。 远距离的 研究的目标是：1）确定刺激参数 优化模式辨别的灵敏度和特异性 测试青光眼检测并结合这些最佳 参数转化为临床使用的有效方案； 2） 确定优化模式的相对性能 辨别力测试和标准临床视野测试 及早发现青光眼； 3）理解关系 模式辨别能力丧失和视神经损伤之间 青光眼。