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用二项式检验的逐点法检测青光眼视野损害的进展。

Detection of progression of glaucomatous visual field damage using the point-wise method with the binomial test.

机构信息

Department of Ophthalmology, University of Tokyo Graduate School of Medicine, Tokyo, Japan.

出版信息

PLoS One. 2013 Oct 25;8(10):e78630. doi: 10.1371/journal.pone.0078630. eCollection 2013.

DOI:10.1371/journal.pone.0078630
PMID:24205283
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3808340/
Abstract

PURPOSE

To compare the performance of newly proposed point-wise linear regression (PLR) with the binomial test (binomial PLR) against mean deviation (MD) trend analysis and permutation analyses of PLR (PoPLR), in detecting global visual field (VF) progression in glaucoma.

METHODS

15 VFs (Humphrey Field Analyzer, SITA standard, 24-2) were collected from 96 eyes of 59 open angle glaucoma patients (6.0 ± 1.5 [mean ± standard deviation] years). Using the total deviation of each point on the 2(nd) to 16(th) VFs (VF2-16), linear regression analysis was carried out. The numbers of VF test points with a significant trend at various probability levels (p<0.025, 0.05, 0.075 and 0.1) were investigated with the binomial test (one-side). A VF series was defined as "significant" if the median p-value from the binomial test was <0.025. Similarly, the progression analysis was carried out using only second to sixth VFs (VF2-6). The performance of each method was evaluated using the 'consistency measures'; proportion both significant (PBS): both VF series (VF2-6 and VF2-16) were "significant", proportion both were not significant (PBNS): both were "not significant", proportion inconsistently significant (PIS): VF2-16 was "not significant" but VF2-6 was "significant". A similar analysis was carried out using VF2-7 and VF2-15 series, and the performance was compared with MD trend analysis and PoPLR.

RESULTS

The PBS of the binomial PLR method (0.14 to 0.86) was significantly higher than MD trend analysis (0.04 to 0.89) and PoPLR (0.09 to 0.93). The PIS of the proposed method (0.0 to 0.17) was significantly lower than the MD approach (0.0 to 0.67) and PoPLR (0.07 to 0.33). The PBNS of the three approaches were not significantly different.

CONCLUSIONS

The binomial BLR method gives more consistent results than MD trend analysis and PoPLR, hence it will be helpful as a tool to 'flag' possible VF deterioration.

摘要

目的

比较新提出的逐点线性回归(PLR)与二项式检验(binomial PLR)、平均偏差(MD)趋势分析和 PLR 的置换分析(PoPLR)在检测青光眼全局视野(VF)进展方面的性能。

方法

收集 59 名开角型青光眼患者(6.0±1.5[均值±标准差]岁)96 只眼中的 15 个 VF(Humphrey 视野分析仪,SITA 标准,24-2)。使用第 2 至 16 个 VF(VF2-16)上各点的总偏差进行线性回归分析。在不同概率水平(p<0.025、0.05、0.075 和 0.1)下,使用二项式检验(单侧)研究具有显著趋势的 VF 测试点数量。如果二项式检验的中位数 p 值<0.025,则将 VF 系列定义为“显著”。同样,仅使用第 2 至第 6 个 VF(VF2-6)进行进展分析。使用“一致性度量”评估每种方法的性能;比例均显著(PBS):两个 VF 系列(VF2-6 和 VF2-16)均为“显著”,比例均不显著(PBNS):均为“不显著”,比例不一致显著(PIS):VF2-16 为“不显著”,但 VF2-6 为“显著”。使用 VF2-7 和 VF2-15 系列进行类似的分析,并将性能与 MD 趋势分析和 PoPLR 进行比较。

结果

二项式 PLR 方法的 PBS(0.14 至 0.86)显著高于 MD 趋势分析(0.04 至 0.89)和 PoPLR(0.09 至 0.93)。所提出方法的 PIS(0.0 至 0.17)显著低于 MD 方法(0.0 至 0.67)和 PoPLR(0.07 至 0.33)。三种方法的 PBNS 没有显著差异。

结论

二项式 BLR 方法比 MD 趋势分析和 PoPLR 提供更一致的结果,因此它将有助于作为一种“标记”可能的 VF 恶化的工具。

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本文引用的文献

1
Behavior of visual field index in advanced glaucoma.晚期青光眼的视野指数变化。
Invest Ophthalmol Vis Sci. 2013 Jan 14;54(1):307-12. doi: 10.1167/iovs.12-10836.
2
Five-year forecasts of the Visual Field Index (VFI) with binocular and monocular visual fields.双眼和单眼视野的视野指数(VFI)五年预测。
Graefes Arch Clin Exp Ophthalmol. 2013 May;251(5):1335-41. doi: 10.1007/s00417-012-2214-2. Epub 2012 Dec 7.
3
Glaucoma progression detection: agreement, sensitivity, and specificity of expert visual field evaluation, event analysis, and trend analysis.
使用二项式逐点线性回归方法检测视网膜色素变性的进展。
Transl Vis Sci Technol. 2021 Nov 1;10(13):15. doi: 10.1167/tvst.10.13.15.
4
Predicting eyes at risk for rapid glaucoma progression based on an initial visual field test using machine learning.基于机器学习的初始视野测试预测快速青光眼进展风险的眼睛。
PLoS One. 2021 Apr 16;16(4):e0249856. doi: 10.1371/journal.pone.0249856. eCollection 2021.
5
The usefulness of the Deep Learning method of variational autoencoder to reduce measurement noise in glaucomatous visual fields.深度学习变分自编码器方法在减少青光眼视野测量噪声中的作用。
Sci Rep. 2020 May 12;10(1):7893. doi: 10.1038/s41598-020-64869-6.
6
Forecasting future Humphrey Visual Fields using deep learning.利用深度学习预测未来 Humphrey 视野。
PLoS One. 2019 Apr 5;14(4):e0214875. doi: 10.1371/journal.pone.0214875. eCollection 2019.
7
Unsupervised Gaussian Mixture-Model With Expectation Maximization for Detecting Glaucomatous Progression in Standard Automated Perimetry Visual Fields.用于检测标准自动视野计视野中青光眼进展的基于期望最大化的无监督高斯混合模型
Transl Vis Sci Technol. 2016 May 3;5(3):2. doi: 10.1167/tvst.5.3.2. eCollection 2016 May.
青光眼进展检测:专家视野评估、事件分析和趋势分析的一致性、敏感性及特异性
Eur J Ophthalmol. 2013 Mar-Apr;23(2):187-95. doi: 10.5301/ejo.5000193.
4
Visual field progression in glaucoma: estimating the overall significance of deterioration with permutation analyses of pointwise linear regression (PoPLR).青光眼视野进展:通过逐点线性回归(PoPLR)的置换分析估计恶化的整体意义。
Invest Ophthalmol Vis Sci. 2012 Oct 1;53(11):6776-84. doi: 10.1167/iovs.12-10049.
5
The relationship between variability and sensitivity in large-scale longitudinal visual field data.大样本纵向视野数据中的变异性与敏感性之间的关系。
Invest Ophthalmol Vis Sci. 2012 Sep 6;53(10):5985-90. doi: 10.1167/iovs.12-10428.
6
Validation of point-wise exponential regression to measure the decay rates of glaucomatous visual fields.验证逐点指数回归测量青光眼视野衰减率的方法。
Invest Ophthalmol Vis Sci. 2012 Aug 9;53(9):5403-9. doi: 10.1167/iovs.12-9930.
7
Improved estimates of visual field progression using bayesian linear regression to integrate structural information in patients with ocular hypertension.利用贝叶斯线性回归将结构信息整合到高眼压症患者中,以提高视野进展的估计。
Invest Ophthalmol Vis Sci. 2012 May 14;53(6):2760-9. doi: 10.1167/iovs.11-7976.
8
Intervals between visual field tests when monitoring the glaucomatous patient: wait-and-see approach.监测青光眼患者时的视野检查间隔:观望方法。
Invest Ophthalmol Vis Sci. 2012 May 17;53(6):2770-6. doi: 10.1167/iovs.12-9476.
9
A method to measure and predict rates of regional visual field decay in glaucoma.一种测量和预测青光眼区域性视野衰退速度的方法。
Invest Ophthalmol Vis Sci. 2011 Jul 1;52(7):4765-73. doi: 10.1167/iovs.10-6414.
10
Properties of the statpac visual field index.视盘参数分析(statpac)视野指数的特性。
Invest Ophthalmol Vis Sci. 2011 Jun 8;52(7):4030-8. doi: 10.1167/iovs.10-6905.