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一种利用视野和光学相干断层扫描估计视网膜神经节细胞数量的方法的评估

Evaluation of a Method for Estimating Retinal Ganglion Cell Counts Using Visual Fields and Optical Coherence Tomography.

作者信息

Raza Ali S, Hood Donald C

机构信息

Department of Psychology, Columbia University, New York, New York, United States 2Department of Neurobiology and Behavior, Columbia University, New York, New York, United States.

Department of Psychology, Columbia University, New York, New York, United States 3Department of Ophthalmology, Columbia University, New York, New York, United States.

出版信息

Invest Ophthalmol Vis Sci. 2015 Apr;56(4):2254-68. doi: 10.1167/iovs.14-15952.

Abstract

PURPOSE

To evaluate the accuracy and generalizability of a published model that derives estimates of retinal ganglion cell (RGC) counts and relates structural and functional changes due to glaucoma.

METHODS

Both the Harwerth et al. nonlinear model (H-NLM) and the Hood and Kardon linear model (HK-LM) were applied to an independent dataset of frequency-domain optical coherence tomography and visual fields, consisting of 48 eyes of 48 healthy controls, 100 eyes of 77 glaucoma patients and suspects, and 18 eyes of 14 nonarteritic anterior ischemic optic neuropathy (ION) patients with severe vision loss. Using the coefficient of determination R2, the models were compared while keeping constant the topographic maps, specifically a map by Garway-Heath et al. and a separate map by Harwerth et al., which relate sensitivity test stimulus locations to corresponding regions around the optic disc. Additionally, simulations were used to evaluate the assumptions of the H-NLM.

RESULTS

Although the predictions of the HK-LM with the anatomically-derived Garway-Heath et al. map were reasonably good (R2 = 0.31-0.64), the predictions of the H-NLM were poor (R2 < 0) regardless of the map used. Furthermore, simulations of the H-NLM yielded results that differed substantially from RGC estimates based on histology from human subjects. Finally, the value-added of factors increasing the relative complexity of the H-NLM, such as assumptions regarding age- and stage-dependent corrections to structural measures, was unclear.

CONCLUSIONS

Several of the assumptions underlying the H-NLM should be revisited. Studies and models relying on the RGC estimates of the H-NLM should be interpreted with caution.

摘要

目的

评估一个已发表模型的准确性和通用性,该模型可得出视网膜神经节细胞(RGC)计数的估计值,并关联青光眼导致的结构和功能变化。

方法

将Harwerth等人的非线性模型(H-NLM)和Hood与Kardon的线性模型(HK-LM)应用于一个独立的频域光学相干断层扫描和视野数据集,该数据集包括48名健康对照者的48只眼、77名青光眼患者和疑似患者的100只眼,以及14名患有严重视力丧失的非动脉性前部缺血性视神经病变(ION)患者的18只眼。使用决定系数R2,在保持地形图不变的情况下比较模型,具体是Garway-Heath等人的一张图和Harwerth等人的另一张图,这两张图将敏感度测试刺激位置与视盘周围的相应区域关联起来。此外,通过模拟来评估H-NLM的假设。

结果

尽管HK-LM结合解剖学推导的Garway-Heath等人的图所做的预测相当不错(R2 = 0.31 - 0.64),但无论使用哪张图,H-NLM的预测都很差(R2 < 0)。此外,H-NLM的模拟结果与基于人类受试者组织学的RGC估计值有很大差异。最后,增加H-NLM相对复杂性的因素(如关于结构测量的年龄和阶段依赖性校正的假设)的附加值尚不清楚。

结论

H-NLM所依据的几个假设应重新审视。依赖H-NLM的RGC估计值的研究和模型应谨慎解读。

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