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Classifying patterns of localized glaucomatous visual field defects on automated perimetry.

机译:在自动视野检查中对局部青光眼视野缺损的类型进行分类。

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AIM: To classify the classic patterns of glaucomatous visual field defects on automated perimetry and to study their proximity to fixation. STUDY DESIGN: Cross-sectional observational study. MATERIALS AND METHODS: About 1120 full threshold 30-2 reliable visual fields of glaucoma patients were analyzed by 2 glaucomatologists. Classically described patterns of visual field defects were identified on the pattern deviation plot and definitions proposed. Interreader agreement between 3 independent (not involved in the classification) readers was determined. Proximity to fixation of the different patterns was assessed. RESULTS: Interreader agreement with 3 readers was found to be 93% or more between any 2 readers using the present system of classification. Central fixation was seen to be involved in 45% of the glaucomatous visual field defects studied overall. CONCLUSIONS: The proposed definitions of topographical glaucomatous field defects based on the pattern deviation probability plot are simple to use inclinical practice with good interreader agreement.
机译:目的:对自动视野检查中青光眼视野缺损的经典模式进行分类,并研究其与注视点的接近程度。研究设计:横断面观察研究。材料与方法:由两名青光眼医师分析了约1120个完整阈值30-2的青光眼患者可靠视野。在图案偏差图和提出的定义上可以识别出经典描述的视野缺损图案。确定了3个独立的(未涉及分类)阅读器之间的阅读器间协议。评估固定不同模式的接近度。结果:使用本分类系统,与2个阅读者之间的3个阅读者之间的阅读者同意率为93%或更高。在整体研究的青光眼视野缺损中,中央固定被认为占45%。结论:基于模式偏差概率图的青光眼形地形缺陷的建议定义易于使用,且具有良好的读者间协议。

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