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Detecting Visual Field Progression

delete2017-12-01
delete25
PRE
AI
A
Ahmad A. Aref
D
Donald L. Budenz *
DOI:10.1016/j.ophtha.2017.05.010delete
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摘要

摘要

En 中文
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. (C) 2017 by the American Academy of Ophthalmology
Keyword:
POINTWISE LINEAR-REGRESSION
INITIAL GLAUCOMA TREATMENT
INTRAOCULAR-PRESSURE
EXPERT CONSENSUS
RATES
DETERIORATION
SPECIFICITY
PREDICTION
REDUCTION
THRESHOLD
AI总结

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对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Ophthalmology 封面图
Ophthalmology
IF:
9.5
论文数:
1.3W
被引数:
4.4W

机构

U
University of Illinois Chicago
学者数:
1.7W
论文数: 1.4W
被引数: 3.0W
University of Illinois System 封面图
University of Illinois System
学者数:
6.8W
论文数: 6.2W
被引数: 644
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