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Objective perimetry using a four-channel multifocal VEP system: Correlation with conventional perimetry and thickness of the retinal nerve fibre layer

机译:使用四通道多焦点VEP系统的客观视野检查:与常规视野检查和视网膜神经纤维层厚度的相关性

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Purpose: There is evidence that multifocal visual evoked potentials (VEPs) can be used as an objective tool to detect visual field loss. The aim of this study was to correlate multifocal VEP amplitudes with standard perimetry data and retinal nerve fibre layer (RNFL) thickness. Method: Multifocal VEP recordings were performed with a four-channel electrode array using 58 stimulus fields (pattern reversal dartboard). For each field, the recording from the channel with maximal signal-to-noise ratio (SNR) was retained, resulting in an SNR optimised virtual recording. Correlation with RNFL thickness, measured with spectral domain optical coherence tomography and with standard perimetry, was performed for nerve fibre bundle related areas. Results: The mean amplitudes in nerve fibre related areas were smaller in glaucoma patients than in normal subjects. The differences between both groups were most significant in mid-peripheral areas. Amplitudes in these areas were significantly correlated with corresponding RNFL thickness (Spearman R=0.76) and with standard perimetry (R=0.71). Conclusion: The multifocal VEP amplitude was correlated with perimetric visual field data and the RNFL thickness of the corresponding regions. This method of SNR optimisation is useful for extracting data from recordings and may be appropriate for objective assessment of visual function at different locations. Trial registration number: This study has been registered at http://www.clinicaltrials.gov (NCT00494923).
机译:目的:有证据表明,多焦点视觉诱发电位(VEP)可用作检测视野丧失的客观工具。这项研究的目的是将多焦点VEP振幅与标准视野检查数据和视网膜神经纤维层(RNFL)厚度相关联。方法:使用58个刺激场(模式反转飞镖),通过四通道电极阵列进行多焦点VEP记录。对于每个场,保留具有最大信噪比(SNR)的通道记录,从而获得SNR优化的虚拟记录。对神经纤维束相关区域进行了与频谱域光学相干断层扫描和标准视野检查法测量的与RNFL厚度的相关性。结果:青光眼患者的神经纤维相关区域的平均振幅小于正常受试者。两组之间的差异在外围周边地区最为明显。这些区域中的振幅与相应的RNFL厚度(Spearman R = 0.76)和标准视野光度(R = 0.71)显着相关。结论:多焦点VEP振幅与视野视野数据和相应区域的RNFL厚度相关。 SNR优化的这种方法可用于从记录中提取数据,并且可能适用于不同位置的视觉功能的客观评估。试验注册号:该研究已在http://www.clinicaltrials.gov(NCT00494923)上注册。

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