COOPERATIVE AMBLYOPIA CLASSIFICATION STUDY

弱视传统上是根据相关条件思维来分类的 对弱视缺陷负责--斜视、屈光参差或 剥夺。该项目的主要目标是创建一个 基于功能性视力损失的弱视分类系统--A 基于广泛的临床、心理物理的分类系统 和动眼运动异常，可以取代或补充 传统的方法带来了更好的诊断和治疗。飞行员 对215名受试者(包括弱视、58名康复弱视、 58名患有相关疾病的“危险”受试者，从未 弱视和35名正常受试者)已经证明了这一目标是 可行。从20项实验室测量中得出的信息 在试点样本中的每个主题上都不是简单的多余的 测量的Snellen视力和/或其临床诊断。因此， 实验室数据，结合临床测量，可用于 创建统计有效的类，这些类与 彼此之间。 在拟议的项目中，500名受试者(250名弱视，100名“有危险”， 75名恢复者和75名正常对照组)将接受一套修改后的 飞行员使用的其他临床、心理物理和眼球运动测试 相位。将对结果数据进行分析： -确定区分弱视眼睛的一组视觉行为 从正常的眼睛看。 -确定定义不同类型的视觉行为的群集 弱视。 -确定源自心理物理的类型与 对同一受试者进行眼动测量和临床测量。 将使用聚类分析的统计技术来研究 测量临床、心理物理和眼球运动变量以创建 所需的分类系统。受试者的年龄范围将从 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.