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检测视野进展。

Detecting Visual Field Progression.

机构信息

Illinois Eye & Ear Infirmary, University of Illinois at Chicago College of Medicine, Chicago, Illinois.

Department of Ophthalmology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.

出版信息

Ophthalmology. 2017 Dec;124(12S):S51-S56. doi: 10.1016/j.ophtha.2017.05.010.

DOI:10.1016/j.ophtha.2017.05.010
PMID:29157362
Abstract

Timely detection of glaucomatous progression is crucial in the delivery of glaucoma care. Clinical judgment may be used to make this assessment, but relatively modest agreement among practitioners supports the use of complementary methods. Event-based analyses take into account expected localized test-retest variabilities in sensitivity, and trend-based analyses are helpful for determining and predicting overall visual function. Landmark clinical trials have used various visual field progression criteria as end points with variable performances. Short- and long-term fluctuations as well as inadequate testing frequency are limitations in visual field analysis for glaucomatous progression. Ongoing improvements in statistical techniques as well as incorporation of functional and structural measures into a single model likely will lead to an enhanced ability to detect glaucomatous progression and will allow for more timely and appropriate therapy.

摘要

及时发现青光眼的进展在青光眼治疗中至关重要。临床判断可用于进行这种评估,但从业者之间相对较小的一致性支持使用补充方法。基于事件的分析考虑了预期的局部测试-重测敏感性的可变性,而基于趋势的分析有助于确定和预测整体视觉功能。标志性临床试验使用各种视场进展标准作为终点,其性能各不相同。短期和长期波动以及测试频率不足是青光眼进展的视场分析中的限制。统计技术的不断改进以及将功能和结构测量纳入单个模型中,可能会提高检测青光眼进展的能力,并允许更及时和适当的治疗。

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