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黄斑神经节细胞成像研究:频域光相干断层扫描的青光眼诊断准确性。

Macular ganglion cell imaging study: glaucoma diagnostic accuracy of spectral-domain optical coherence tomography.

机构信息

Department of Ophthalmology, Seoul National University Hospital, Seoul, Korea.

出版信息

Invest Ophthalmol Vis Sci. 2013 Jul 1;54(7):4422-9. doi: 10.1167/iovs.12-11273.

Abstract

PURPOSE

We evaluated the diagnostic accuracy of macular ganglion cell-inner plexiform layer (GCIPL) measurements using a high-definition optical coherence tomography (Cirrus HD-OCT) ganglion cell analysis algorithm for detecting early and moderate-to-severe glaucoma.

METHODS

Totals of 119 normal subjects and 306 glaucoma patients (164 patients with early glaucoma and 142 with moderate-to-severe glaucoma) were enrolled from the Macular Ganglion Cell Imaging Study. Macular GCIPL, peripapillary retinal nerve fiber layer (RNFL) thickness, and optic nerve head (ONH) parameters were measured in each subject. Areas under the receiver operating characteristic curves (AUROCs) were calculated and compared. Based on the internal normative database, the sensitivity and specificity for detecting early and moderate-to-severe glaucoma were calculated.

RESULTS

There was no statistically significant difference between the AUROCs for the best OCT parameters. For detecting early glaucoma, the sensitivity of the Cirrus GCIPL parameters ranged from 26.8% to 73.2% and that of the Cirrus RNFL parameters ranged from 6.1% to 61.6%. For the early glaucoma group, the best parameter from the GCIPL generally had a higher sensitivity than those of the RNFL and ONH parameters with comparable specificity (P < 0.05, McNemar's test).

CONCLUSIONS

There were no significant differences between the AUROCs for Cirrus GCIPL, RNFL, and ONH parameters, indicating that these maps have similar diagnostic potentials for glaucoma. The minimum GCIPL showed better glaucoma diagnostic performance than the other parameters at comparable specificities. However, other GCIPL parameters showed performances comparable to those of the RNFL parameters.

摘要

目的

我们评估了使用高清光学相干断层扫描(Cirrus HD-OCT)神经节细胞分析算法测量黄斑神经节细胞-内丛状层(GCIPL)在检测早期和中重度青光眼方面的诊断准确性。

方法

共纳入 119 名正常受试者和 306 名青光眼患者(164 名早期青光眼患者和 142 名中重度青光眼患者),这些患者均来自 Macular Ganglion Cell Imaging Study。在每位受试者中测量黄斑 GCIPL、视盘周围视网膜神经纤维层(RNFL)厚度和视神经头(ONH)参数。计算并比较了受试者工作特征曲线(ROC)的曲线下面积(AUROCs)。基于内部参考数据库计算了检测早期和中重度青光眼的灵敏度和特异性。

结果

最佳 OCT 参数的 AUROC 之间没有统计学差异。对于检测早期青光眼,Cirrus GCIPL 参数的灵敏度范围为 26.8%至 73.2%,Cirrus RNFL 参数的灵敏度范围为 6.1%至 61.6%。对于早期青光眼组,GCIPL 的最佳参数通常比 RNFL 和 ONH 参数具有更高的灵敏度,同时特异性相当(P<0.05,McNemar 检验)。

结论

Cirrus GCIPL、RNFL 和 ONH 参数的 AUROCs 之间没有显著差异,表明这些图谱对青光眼具有相似的诊断潜力。最小 GCIPL 在可比特异性下显示出比其他参数更好的青光眼诊断性能。然而,其他 GCIPL 参数的性能与 RNFL 参数相当。

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