Screening with automated perimetry using a threshold-related three-level algorithm.
Screening with automated perimetry using a threshold-related three-level algorithm.
复制标题
使用阈值相关的三级算法通过自动视野检查进行筛查。
DOI：
10.1016/s0161-6420(86)33646-7
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发表时间：
1986
期刊：
影响因子：
13.7
通讯作者：
Auer,C
中科院分区：
文献类型：
--
作者：
Kosoko,O;Sommer,A;Auer,C
使用汉弗莱场分析仪的计算机驱动、自动阈值相关、三级筛选策略对 80 只眼睛进行了测试。使用 Goldmann 视野检查作为标准，使用不同的统计算法来尝试区分青光眼眼睛 (n = 24) 和正常对照眼睛 (n = 56)。全场测试区域中任何地方的十七个或更多绝对和/或相对缺陷识别出大约 95% 的青光眼眼睛并筛选出 80% 的对照眼睛。在第二组 25 只青光眼眼和 108 只对照眼中重新测试这些标准，得到了可比较的结果。通过使用两级策略并将测试限制在鼻区，可以大大减少刺激呈现的数量，而不会降低敏感性或特异性。
Eighty eyes were tested using the computer-driven, automated threshold-related, three-level screening strategy of the Humphrey Field Analyzer. Using Goldmann perimetry as the standard, different statistical algorithms were used in an attempt to differentiate eyes with glaucoma (n = 24) from normal controls (n = 56). Seventeen or more absolute and/or relative defects anywhere in the full field test area identified approximately 95% of the glaucoma eyes and screened out 80% of the control eyes. Retesting these criteria on a second group of 25 glaucomatous and 108 control eyes provided comparable results. The number of stimulus presentations can be substantially reduced, without deterioration in either sensitivity or specificity, by using a two-level strategy and limiting testing to the nasal field.