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使用光学相干断层扫描技术评估视网膜神经纤维层、视神经乳头和黄斑厚度测量值以检测青光眼。

Evaluation of retinal nerve fiber layer, optic nerve head, and macular thickness measurements for glaucoma detection using optical coherence tomography.

作者信息

Medeiros Felipe A, Zangwill Linda M, Bowd Christopher, Vessani Roberto M, Susanna Remo, Weinreb Robert N

机构信息

Hamilton Glaucoma Center and Department of Ophthalmology, University of California, San Diego, La Jolla, California 92093-0946, USA.

出版信息

Am J Ophthalmol. 2005 Jan;139(1):44-55. doi: 10.1016/j.ajo.2004.08.069.

Abstract

PURPOSE

To compare the ability of optical coherence tomography retinal nerve fiber layer (RNFL), optic nerve head, and macular thickness parameters to differentiate between healthy eyes and eyes with glaucomatous visual field loss.

DESIGN

Observational case-control study.

METHODS

Eighty-eight patients with glaucoma and 78 healthy subjects were included. All patients underwent ONH, RNFL thickness, and macular thickness scans with Stratus OCT during the same visit. ROC curves and sensitivities at fixed specificities were calculated for each parameter. A discriminant analysis was performed to develop a linear discriminant function designed to identify and combine the best parameters. This LDF was subsequently tested on an independent sample consisting of 63 eyes of 63 subjects (27 glaucomatous and 36 healthy individuals) from a different geographic area.

RESULTS

No statistically significant difference was found between the areas under the ROC curves (AUC) for the RNFL thickness parameter with the largest AUC (inferior thickness, AUC = 0.91) and the ONH parameter with largest AUC (cup/disk area ratio, AUC = 0.88) (P = .28). The RNFL parameter inferior thickness had a significantly larger AUC than the macular thickness parameter with largest AUC (inferior outer macular thickness, AUC = 0.81) (P = .004). A combination of selected RNFL and ONH parameters resulted in the best classification function for glaucoma detection with an AUC of 0.97 when applied to the independent sample.

CONCLUSIONS

RNFL and ONH measurements had the best discriminating performance among the several Stratus OCT parameters. A combination of ONH and RNFL parameters improved the diagnostic accuracy for glaucoma detection using this instrument.

摘要

目的

比较光学相干断层扫描视网膜神经纤维层(RNFL)、视神经乳头和黄斑厚度参数区分健康眼睛和患有青光眼性视野缺损眼睛的能力。

设计

观察性病例对照研究。

方法

纳入88例青光眼患者和78名健康受试者。所有患者在同一次就诊时接受了Stratus OCT对视神经乳头、RNFL厚度和黄斑厚度的扫描。计算每个参数的ROC曲线以及固定特异性下的敏感度。进行判别分析以建立一个线性判别函数,旨在识别并组合最佳参数。随后在一个独立样本上测试该线性判别函数,该样本由来自不同地理区域的63名受试者的63只眼睛(27只青光眼患者眼睛和36只健康个体眼睛)组成。

结果

在具有最大曲线下面积(AUC)的RNFL厚度参数(下方厚度,AUC = 0.91)和具有最大AUC的视神经乳头参数(杯盘面积比,AUC = 0.88)之间,未发现ROC曲线下面积(AUC)有统计学显著差异(P = 0.28)。RNFL参数下方厚度的AUC显著大于具有最大AUC的黄斑厚度参数(黄斑外下方厚度,AUC = 0.81)(P = 0.004)。选定的RNFL和视神经乳头参数组合产生了用于青光眼检测的最佳分类函数,应用于独立样本时AUC为0.97。

结论

在多个Stratus OCT参数中,RNFL和视神经乳头测量具有最佳的区分性能。视神经乳头和RNFL参数的组合提高了使用该仪器检测青光眼的诊断准确性。

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