COOPERATIVE AMBLYOPIA CLASSIFICATION STUDY

弱视是传统的分类由相关的条件思想 导致弱视的缺陷--斜视，屈光参差， 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 分类系统的基础上广泛的临床，心理，物理 以及眼神经异常， 传统的方法，导致更好的诊断和治疗。 一个试点 215例受试者（其中弱视64例，弱视康复者58例， 58名患有相关疾病的“高危”受试者， 弱视和35名正常受试者）已经证明，这一目标是 可行 来自20个实验室测量的信息 在试点样本中的每一个主题并不是简单的冗余， 测量的Snellen视力和/或其临床诊断。 因此，我们认为， 实验室数据结合临床测量，可用于 创建与以下内容显著不同的验证有效类 对方. 在拟议的项目中，500名受试者（250名弱视，100名“有风险”， 75例恢复，75例正常对照）将给予一组改良的 试点中使用的其他临床、心理物理和眼科测试 相位 将对所得数据进行分析： - 确定区分弱视眼的视觉行为集 从正常的眼睛。 - 为了确定定义不同类型的视觉行为的集群， 弱视 - 确定从心理物理学和心理学衍生的类型之间的相关性， 在相同的受试者上收集的眼科测量和临床测量。 聚类分析的统计技术将用于 测量临床，心理物理和眼科变量，以创建 理想的分类系统。 受试者的年龄范围为 8到40年。

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.