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首页> 外文期刊>Investigative ophthalmology & visual science >Diagnostic Performance of Visual Field Test Using Subsets of the 24-2 Test Pattern for Early Glaucomatous Field Loss
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Diagnostic Performance of Visual Field Test Using Subsets of the 24-2 Test Pattern for Early Glaucomatous Field Loss

机译:使用24-2测试模式子集的视野检查对早期青光眼视野丧失的诊断性能

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Purpose.: To explore the diagnostic performance of threshold visual field tests using subsets of the standard 24-2 test pattern in detecting early/moderate glaucomatous field loss. Methods.: Normal (Brusini stage 0, n = 2344) and defective eyes (Brusini stage 2a??3, n = 2222) from a database of visual field tests (6696 eyes/3586 patients, SITA standard 24-2 algorithm) were selected and resampled using a bootstrap method. The positive predictive values (PPVs) of each test location were calculated for the resampled datasets with a fail criteria of a single missed stimulus at a pattern deviation probability level of less than 0.01. Optimized test patterns started with the most frequent location of the maximum PPV in datasets. Eyes missing the location were removed and the PPV values of residual sample recalculated. The process was repeated until all defective eyes were detected. Receiver operating characteristic (ROC) curves were established for the PPV-optimized and five randomized patterns. Characteristics of visual field defects detected with subsets of optimized test pattern were established. Results.: With the PPV-optimized pattern, 95% of the field defects were detected with 30 locations and all with 43 locations. Areas under the ROC curve were greatest for the optimized pattern. With each increment in the number of test locations, the Mean Deviation of additionally detected eyes became more positive while Pattern Standard Deviation became less positive (P 0.001). Conclusions.: Good diagnostic performance can be obtained with optimized subsets of the standard 24-2 test pattern that can provide substantial savings in test times.
机译:目的:探讨使用标准24-2测试模式子集进行阈值视野测试在诊断早期/中度青光眼视野丧失中的诊断性能。方法:来自视野测试数据库(6696眼/ 3586例患者,SITA标准24-2算法)的正常(Brusini 0期,n = 2344)和有缺陷的眼睛(Brusini 2a ?? 3,n = 2222)。使用引导方法选择并重新采样。对于重新采样的数据集,每个测试位置的阳性预测值(PPV)的计算标准为单个错失刺激的失败标准,且模式偏差概率水平小于0.01。优化的测试模式从数据集中最大PPV的最频繁位置开始。去除缺少位置的眼睛,并重新计算残留样品的PPV值。重复该过程,直到检测到所有有缺陷的眼睛。为PPV优化和五个随机模式建立了接收器工作特性(ROC)曲线。建立了用优化测试图案子集检测到的视野缺损特征。结果:通过PPV优化模式,在30个位置检测到了95%的场缺陷,在43个位置都检测到了。 ROC曲线下的面积对于优化模式而言最大。随着测试位置数量的每次增加,另外检测到的眼睛的平均偏差变得越来越大,而模式标准偏差变得越来越小(P <0.001)。结论:使用标准24-2测试模式的优化子集可以获得良好的诊断性能,可以节省大量测试时间。

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