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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.

DOI:10.1007/s10633-017-9593-y
PMID:28593391
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5532413/
Abstract

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.

摘要

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。

结论

使用WVA分析的mfERG可改善青光眼诊断,尤其是与GCIPL和平均敏感度(MS)相结合时。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be09/5532413/90f85c7b4e57/10633_2017_9593_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be09/5532413/19c5c0075a67/10633_2017_9593_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be09/5532413/814e9d946eb3/10633_2017_9593_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be09/5532413/e15c8002f421/10633_2017_9593_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be09/5532413/c5b1298fa2f1/10633_2017_9593_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be09/5532413/90f85c7b4e57/10633_2017_9593_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be09/5532413/19c5c0075a67/10633_2017_9593_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be09/5532413/814e9d946eb3/10633_2017_9593_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be09/5532413/e15c8002f421/10633_2017_9593_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be09/5532413/c5b1298fa2f1/10633_2017_9593_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be09/5532413/90f85c7b4e57/10633_2017_9593_Fig5_HTML.jpg

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2
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Transl Vis Sci Technol. 2017 Jan 10;6(1):3. doi: 10.1167/tvst.6.1.3. eCollection 2017 Jan.
3
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BMC Res Notes. 2023 Sep 29;16(1):238. doi: 10.1186/s13104-023-06535-4.
4
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Front Neurosci. 2023 Aug 2;17:1215097. doi: 10.3389/fnins.2023.1215097. eCollection 2023.
5
OculusGraphy: Signal Analysis of the Electroretinogram in a Rabbit Model of Endophthalmitis Using Discrete and Continuous Wavelet Transforms.眼电图成像:使用离散和连续小波变换对兔眼内炎模型视网膜电图进行信号分析
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7
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8
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9
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10
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