Hamilton Glaucoma Center, Department of Ophthalmology, University of California San Diego, La Jolla, California 92093-0946, USA.
Ophthalmology. 2010 Sep;117(9):1692-9, 1699.e1. doi: 10.1016/j.ophtha.2010.01.031. Epub 2010 May 20.
To evaluate retinal nerve fiber layer (RNFL), optic nerve head (ONH), and macular thickness measurements for glaucoma detection using the RTVue spectral domain optical coherence tomograph.
Diagnostic, case-control study.
One hundred forty eyes of 106 glaucoma patients and 74 eyes of 40 healthy subjects from the Diagnostic Innovations in Glaucoma Study (DIGS).
All patients underwent ocular imaging with the commercially available RTVue. Optic nerve head, RNFL thickness, and macular thickness scans were obtained during the same visit. Receiver operating characteristic (ROC) curves and sensitivities at fixed specificities (80% and 95%) were calculated for each parameter.
Areas under the ROC curves (AUC) and sensitivities at fixed specificities of 80% and 95%.
The AUC for the RNFL parameter with best performance, inferior quadrant thickness, was significantly higher than that of the best-performing ONH parameter, inferior rim area (0.884 vs 0.812, respectively; P = 0.04). There was no difference between ROC curve areas of the best RNFL thickness parameters and the best inner macular thickness measurement, ganglion cell complex root mean square (ROC curve area = 0.870).
The RTVue RNFL and inner retinal macular thickness measurements had good ability to detect eyes with glaucomatous visual field loss and performed significantly better than ONH parameters.
利用 RTVue 光谱域光学相干断层扫描仪评估用于青光眼检测的视网膜神经纤维层(RNFL)、视神经头(ONH)和黄斑厚度测量值。
诊断性、病例对照研究。
来自诊断性青光眼创新研究(DIGS)的 106 例青光眼患者的 140 只眼和 40 名健康对照者的 74 只眼。
所有患者均接受市售 RTVue 的眼部成像检查。在同一次就诊中获取视神经头、RNFL 厚度和黄斑厚度扫描。计算每个参数的接收器工作特征(ROC)曲线和固定特异性(80%和 95%)下的灵敏度。
ROC 曲线下面积(AUC)和固定特异性为 80%和 95%时的灵敏度。
表现最佳的 RNFL 参数(下象限厚度)的 AUC 明显高于表现最佳的 ONH 参数(下盘面积)(分别为 0.884 与 0.812;P = 0.04)。最佳 RNFL 厚度参数和最佳内视网膜黄斑厚度测量的 ROC 曲线面积之间没有差异(ROC 曲线面积=0.870)。
RTVue RNFL 和内视网膜黄斑厚度测量值具有良好的能力来检测出现青光眼视野丧失的眼睛,其表现明显优于 ONH 参数。