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基于经验标准的聚类和暗点分析。

A cluster and scotoma analysis based on empiric criteria.

作者信息

Fankhauser F, Fankhauser F, Giger H

机构信息

Lindenhofspital, Bern, Switzerland.

出版信息

Graefes Arch Clin Exp Ophthalmol. 1993 Dec;231(12):697-703. doi: 10.1007/BF00919284.

Abstract

From a collection of 288 visual fields of glaucomatous or glaucoma suspects, 30 were selected at random and were analyzed by one expert interpreter. Visual field damage varied from nonexistent to severe. The interpreter defined clusters or scotomas subjectively according to adjacency criteria: adjacent test locations which exceeded a critical loss value were grouped as clusters or scotomas. A computer algorithm has been devised which simulates such evaluation methods. In general, a standard setting of several parameters produced a cluster display containing the same number of clusters as determined by the expert interpreter. Another display mode grouped clusters according to polygonal areas of a predetermined size (Voronoi diagram). Due to the broad selection of visual field defects, the specificity of the program with regard to various field decay patterns was small and it should thus be applicable to a broad spectrum of glaucomatous field damage.

摘要

从288个青光眼患者或疑似青光眼患者的视野集合中,随机选取30个并由一位专家解释者进行分析。视野损害程度从无到严重不等。解释者根据相邻标准主观地定义簇或暗点:超过临界损失值的相邻测试位置被分组为簇或暗点。已经设计了一种计算机算法来模拟这种评估方法。一般来说,几个参数的标准设置产生的簇显示包含与专家解释者确定的簇数量相同的簇。另一种显示模式根据预定大小的多边形区域(Voronoi图)对簇进行分组。由于视野缺损的广泛选择,该程序对于各种视野衰减模式的特异性较小,因此应该适用于广泛的青光眼性视野损害。

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