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首页> 外文期刊>Investigative ophthalmology & visual science >Detecting glaucoma with visual fields derived from frequency-domain optical coherence tomography
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Detecting glaucoma with visual fields derived from frequency-domain optical coherence tomography

机译:利用从频域光学相干断层扫描获得的视野检测青光眼

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PURPOSE. To compare the assessment of glaucomatous damage based on visual fields (VFs) derived from frequency-domain optical coherence tomography (OCT) to actual VFs obtained from static automated perimetry. METHODS. A total of 84 eyes from 84 glaucoma patients or suspects and 128 eyes from 128 healthy subjects were included. The retinal ganglion cell (RGC) and retinal nerve fiber layer (RNFL) thicknesses measured with macular and disc RNFL cube scans were combined and decomposed into 48 principal components (PCs). For each eye, an OCT to VF transformation map was built using multiple linear regression (MLR) and the OCT and VF data from the other eyes. Using this transformation map, the combined 24-2-and 10-2-derived VF for this eye was then obtained. RESULTS. With 98.0% specificity, the sensitivity of the derived VF reached 78.0% for all hemifields, whereas 74.4% of the actual VF hemifields were classified as abnormal. The agreement between the derived and the actual VFs was 82.2%. For each VF location, the derived VF values were linearly related to the actual values. CONCLUSIONS. The derived VF based on the OCT data appears as sensitive as the actual VF for detecting glaucomatous damage. Because the derived and actual VFs should have largely independent sources of variability, the combination of the two should provide a more powerful diagnostic tool.
机译:目的。比较从频域光学相干断层扫描(OCT)得出的视野(VF)和从静态自动视野检查获得的实际VF,对青光眼损伤的评估。方法。包括来自84名青光眼患者或疑犯的84眼和来自128位健康受试者的128眼。通过黄斑和椎间盘RNFL立方体扫描测量的视网膜神经节细胞(RGC)和视网膜神经纤维层(RNFL)的厚度被合并并分解为48个主要成分(PC)。对于每只眼睛,使用多元线性回归(MLR)以及另一只眼睛的OCT和VF数据构建了OCT到VF的转换图。然后使用此变换图获得此眼睛的组合的22-4和10-2-衍生的VF。结果。特异性为98.0%时,衍生的VF对所有半场的敏感性均达到78.0%,而实际VF半场的74.4%被归类为异常。衍生的和实际的VF之间的一致性为82.2%。对于每个VF位置,导出的VF值与实际值线性相关。结论。基于OCT数据得出的VF与检测青光眼损伤的实际VF一样敏感。由于派生的VF和实际的VF应该在很大程度上具有独立的可变性来源,因此两者的结合应提供更强大的诊断工具。

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