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定量脑脊液在临床应用中的作用:弱视患者对比敏感度函数的有效表征与分类

qCSF in clinical application: efficient characterization and classification of contrast sensitivity functions in amblyopia.

作者信息

Hou Fang, Huang Chang-Bing, Lesmes Luis, Feng Li-Xia, Tao Liming, Zhou Yi-Feng, Lu Zhong-Lin

机构信息

Vision Research Laboratory, School of Life Science, University of Science and Technology of China, Hefei, Anhui, China.

出版信息

Invest Ophthalmol Vis Sci. 2010 Oct;51(10):5365-77. doi: 10.1167/iovs.10-5468. Epub 2010 May 19.

Abstract

PURPOSE

The qCSF method is a novel procedure for rapid measurement of spatial contrast sensitivity functions (CSFs). It combines Bayesian adaptive inference with a trial-to-trial information gain strategy, to directly estimate four parameters defining the observer's CSF. In the present study, the suitability of the qCSF method for clinical application was examined.

METHODS

The qCSF method was applied to rapidly assess spatial CSFs in 10 normal and 8 amblyopic participants. The qCSF was evaluated for accuracy, precision, test-retest reliability, suitability of CSF model assumptions, and accuracy of amblyopia screening.

RESULTS

qCSF estimates obtained with as few as 50 trials matched those obtained with 300 Ψ trials. The precision of qCSF estimates obtained with 120 and 130 trials, in normal subjects and amblyopes, matched the precision of 300 Ψ trials. For both groups and both methods, test-retest sensitivity estimates were well matched (all R > 0.94). The qCSF model assumptions were valid for 8 of 10 normal participants and all amblyopic participants. Measures of the area under log CSF (AULCSF) and the cutoff spatial frequency (cutSF) were lower in the amblyopia group; these differences were captured within 50 qCSF trials. Amblyopia was detected at an approximately 80% correct rate in 50 trials, when a logistic regression model was used with AULCSF and cutSF as predictors.

CONCLUSIONS

The qCSF method is sufficiently rapid, accurate, and precise in measuring CSFs in normal and amblyopic persons. It has great potential for clinical practice.

摘要

目的

qCSF方法是一种快速测量空间对比敏感度函数(CSF)的新方法。它将贝叶斯自适应推理与逐次试验信息增益策略相结合,直接估计定义观察者CSF的四个参数。在本研究中,检验了qCSF方法在临床应用中的适用性。

方法

将qCSF方法应用于快速评估10名正常参与者和8名弱视参与者的空间CSF。对qCSF的准确性、精密度、重测信度、CSF模型假设的适用性以及弱视筛查的准确性进行了评估。

结果

仅用50次试验获得的qCSF估计值与用300次Ψ试验获得的估计值相匹配。在正常受试者和弱视患者中,用120次和130次试验获得的qCSF估计值的精密度与300次Ψ试验的精密度相匹配。对于两组和两种方法,重测敏感度估计值都非常匹配(所有R>0.94)。qCSF模型假设对10名正常参与者中的8名和所有弱视参与者有效。弱视组的对数CSF下面积(AULCSF)和截止空间频率(cutSF)测量值较低;这些差异在50次qCSF试验中被捕获。当使用以AULCSF和cutSF作为预测因子的逻辑回归模型时,在50次试验中弱视检测的正确率约为80%。

结论

qCSF方法在测量正常人和弱视患者的CSF方面足够快速、准确和精确。它在临床实践中有很大潜力。

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