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Applicability of automatic spectral domain optical coherence tomography for glaucoma mass screening

机译:自动光谱域光学相干断层扫描在青光眼肿块筛查中的适用性

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摘要

Purpose: To perform a preliminary evaluation of the applicability of automatic spectral domain optical coherence tomography (ASD-OCT) for glaucoma mass screening in a population-based setting. Methods: Information using ASD-OCT (thicknesses of the macular retinal nerve fiber layer [mRNFL], disc retinal nerve fiber layer [dRNFL], ganglion cell layer [GCL] + inner plexiform layer [IPL]; GCL+, and ganglion cell complex [GCL + IPL + RNFL; GCL++]) was obtained from 245 eyes of 123 glaucomatous subjects and 1,454 eyes of 727 normal subjects. For all four measurements, each grid was scored as follows: 2= within 95% of the normal database; 1= within 5%; and 0= within 1%. The sums of each grid (mRNFLs, dRNFLs, GCL+s, and GCL++s) were used as indicators. The effectiveness was estimated by the area under the receiver operating characteristic curve (AUC-ROC). The appropriate algorithm was then applied to 10,145 eyes of 5,088 subjects from the general population (mean age: 50.1±10.3 years). Results: AUC-ROC of mRNFLs, dRNFLs, GCL+s, and GCL++s was 0.927 (95% confidence interval [CI] =0.903–0.950), 0.919 (95% CI =0.899–0.940), 0.972 (95% CI =0.958–0.986), and 0.972 (95% CI =0.957–0.986), respectively. The discriminant analysis demonstrated that the canonical correlation coefficients of mRNFLs, dRNFLs, GCL+s, and dGCL++s were 0.07, 0.255, 0.661, and 0.207, respectively. AUC-ROC of the discriminant value was 0.971 (95% CI =0.956–0.986). The sensitivity/specificity using GCL+s (cutoff =160) was 81.6%/99.9%. This algorithm was applied to the general population, and 1,658 eyes (16.3%) were found to be positive for glaucoma. Conclusion: In the case–control setting, ASD-OCT showed a relatively high performance, and the thickness of the GCL + IPL was the best predictor. However, further prospective studies are needed, in which the results of this study are compared to the general population, because the false-positive rate of glaucoma seems to be high.
机译:目的:在基于人群的环境中,对自动光谱域光学相干断层扫描(ASD-OCT)在青光眼大规模筛查中的适用性进行初步评估。方法:使用ASD-OCT(黄斑区视网膜神经纤维层[mRNFL],盘状视网膜神经纤维层[dRNFL],神经节细胞层[GCL] +内丛状层[IPL],GCL +和神经节细胞复合物[从123例青光眼受试者的245眼和727例正常受试者的1454眼获得了GCL + IPL + RNFL; GCL ++]。对于所有四个测量,每个网格的得分如下:2 =正常数据库的95%以内; 1 = 5%以内; 0 = 1%以内。每个网格的总和(mRNFL,dRNFL,GCL +和GCL ++)用作指标。有效性通过接收器工作特性曲线(AUC-ROC)下的面积估算。然后将适当的算法应用于来自一般人群(平均年龄:50.1±10.3岁)的5,088名受试者的10,145眼。结果:mRNFLs,dRNFLs,GCL + s和GCL ++ s的AUC-ROC为0.927(95%置信区间[CI] = 0.903–0.950),0.919(95%CI = 0.899–0.940),0.972(95% CI = 0.958-0.986)和0.972(95%CI = 0.957-0.986)。判别分析表明,mRNFLs,dRNFLs,GCL + s和dGCL ++ s的典型相关系数分别为0.07、0.255、0.661和0.207。判别值的AUC-ROC为0.971(95%CI = 0.956–0.986)。使用GCL + s(临界值= 160)的敏感性/特异性为81.6%/ 99.9%。该算法已应用于一般人群,发现1658眼(16.3%)的青光眼呈阳性。结论:在病例对照设置中,ASD-OCT表现出相对较高的性能,GCL + IPL的厚度是最好的预测指标。但是,由于青光眼的假阳性率似乎很高,因此需要进一步的前瞻性研究,将本研究的结果与一般人群进行比较。

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