COOPERATIVE AMBLYOPIA CLASSIFICATION STUDY

合作性弱视分类研究

• 批准号: 3559612
• 负责人: Suzanne P McKee
• 金额: $ 31.93万
• 依托单位: SMITH-KETTLEWELL EYE RESEARCH INSTITUTE
• 依托单位国家: 美国
• 财政年份: 1988
• 资助国家: 美国
• 起止时间: 1988-09-01 至 1994-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/3559612
• 关键词: adolescence (12-20); amblyopia; computer assisted diagnosis; cooperative study; disease /disorder classification; eye disorder diagnosis; human subject; middle childhood (6-11); psychophysics; young adult human (21-34)

Amblyopia is traditionally classified by the associated condition thought to be responsible for the amblyopic defect--strabismus, anisometropia, or deprivation. The primary objective of this project is to create a classification system for amblyopia based on functional visual loss -- a classification system based on a broad spectrum of clinical, psychophysical and oculomotor abnormalities that could supplant or supplement the traditional approach leading to better diagnosis and treatment. A pilot project on 215 subjects (including 64 amblyopes, 58 recovered amblyopes, 58 "at risk" subjects with the associated condition who have never been amblyopic, and 35 normal subjects) has demonstrated that this objective is feasible. The information derived from the 20 laboratory measurements made on each subject in the pilot sample was not simply redundant with their measured Snellen acuities and/or their clinical diagnoses. Therefore, laboratory data, in conjunction with clinical measurements, can be used to create statistically-valid classes that are significantly different from each other. In the proposed project, 500 subjects (250 amblyopic, 100 "at risk", 75 recovered, 75 normal controls) will be administered a modified set of other clinical, psychophysical and oculomotor tests used in the pilot phase. The resulting data will be analyzed: -To determine the set of visual behaviors that distinguish amblyopic eyes from normal eyes. -To determine clusters of visual behaviors that define different types of ambloyopia. -To determine the correlation between types derived from psychophysical and oculomotor measures and clinical measures collected on the same subjects. The statistical techniques of cluster analysis will be used on the measured clinical, psychophysical and oculomotor variables to create the desired classification system. The age range for the subjects will be from 8 to 40 years.

传统上，弱视是根据相关病症进行分类的 造成弱视缺陷——斜视、屈光参差或 剥夺。 该项目的主要目标是创建一个 基于功能性视力丧失的弱视分类系统 基于广泛的临床、心理物理的分类系统 和动眼神经异常可能会取代或补充 传统方法可以带来更好的诊断和治疗。 一名飞行员 涉及 215 名受试者的项目（包括 64 名弱视患者、58 名康复的弱视患者、 58 名患有相关病症且从未接受过治疗的“有风险”受试者 弱视和 35 名正常受试者）已证明该目标是 可行的。 来自 20 次实验室测量的信息 试点样本中的每个主题并不简单地与他们的 测量斯内伦视力和/或其临床诊断。 所以， 实验室数据与临床测量相结合，可用于 创建与以下显着不同的统计有效类 彼此。 在拟议的项目中，500 名受试者（250 名弱视，100 名“有风险”， 75 名康复者，75 名正常对照者）将接受一组修改后的治疗 试点中使用的其他临床、心理物理和动眼神经测试 阶段。 将分析所得数据： -确定区分弱视眼的一组视觉行为 从正常人的眼睛来看。 - 确定定义不同类型的视觉行为集群 弱视。 -确定源自心理物理学和心理学的类型之间的相关性 对同一受试者收集的动眼神经测量和临床测量。 聚类分析的统计技术将用于 测量临床、心理物理和动眼神经变量以创建 所需的分类系统。 受试者的年龄范围将从 8至40年。