早期青光眼双闪光多焦视网膜电图的小波分解分析：与神经节细胞分析及视野的比较

Wavelet decomposition analysis in the two-flash multifocal ERG in early glaucoma: a comparison to ganglion cell analysis and visual field.

作者信息

Brandao Livia M, Monhart Matthias, Schötzau Andreas, Ledolter Anna A, Palmowski-Wolfe Anja M

机构信息

Department of Ophthalmology, Basel University Hospital, Basel, BS, Switzerland.

Universitätsspital Basel Augenklinik, Mittlere Strasse 91, 4031, Basel, Switzerland.

出版信息

Doc Ophthalmol. 2017 Aug;135(1):29-42. doi: 10.1007/s10633-017-9593-y. Epub 2017 Jun 7.

PURPOSE

To further improve analysis of the two-flash multifocal electroretinogram (2F-mfERG) in glaucoma in regard to structure-function analysis, using discrete wavelet transform (DWT) analysis.

METHODS

Sixty subjects [35 controls and 25 primary open-angle glaucoma (POAG)] underwent 2F-mfERG. Responses were analyzed with the DWT. The DWT level that could best separate POAG from controls was compared to the root-mean-square (RMS) calculations previously used in the analysis of the 2F-mfERG. In a subgroup analysis, structure-function correlation was assessed between DWT, optical coherence tomography and automated perimetry (mf103 customized pattern) for the central 15°.

RESULTS

Frequency level 4 of the wavelet variance analysis (144 Hz, WVA-144) was most sensitive (p < 0.003). It correlated positively with RMS but had a better AUC. Positive relations were found between visual field, WVA-144 and GCIPL thickness. The highest predictive factor for glaucoma diagnostic was seen in the GCIPL, but this improved further by adding the mean sensitivity and WVA-144.

CONCLUSIONS

mfERG using WVA analysis improves glaucoma diagnosis, especially when combined with GCIPL and MS.

目的

运用离散小波变换（DWT）分析，进一步改进青光眼的双闪光多焦视网膜电图（2F-mfERG）在结构-功能分析方面的应用。

方法

60名受试者[35名对照者和25名原发性开角型青光眼（POAG）患者]接受了2F-mfERG检查。使用DWT对反应进行分析。将能最佳区分POAG与对照者的DWT水平与先前用于2F-mfERG分析的均方根（RMS）计算结果进行比较。在亚组分析中，评估了中央15°区域DWT、光学相干断层扫描和自动视野计（mf103定制模式）之间的结构-功能相关性。

结果

小波方差分析的频率水平4（144Hz，WVA-144）最为敏感（p<0.003）。它与RMS呈正相关，但具有更好的曲线下面积（AUC）。在视野、WVA-144和神经节细胞-内丛状层（GCIPL）厚度之间发现了正相关关系。青光眼诊断的最高预测因素见于GCIPL，但通过加入平均敏感度和WVA-144，其预测效果进一步改善。