Shah Sonya B, Garcia Alberto G, Leiby Benjamin E, Cox Laurie A, Katz L Jay, Myers Jonathan S
*Northern Virginia Ophthalmology Associates, Falls Church, VA §Diopsys Inc., Pine Brook, NJ ‡Division of Biostatistics, Thomas Jefferson University †Wills Eye Hospital, Glaucoma Research Center, Philadelphia, PA.
J Glaucoma. 2016 Apr;25(4):e346-54. doi: 10.1097/IJG.0000000000000363.
To compare the ability of Cirrus retinal nerve fiber layer (RNFL) thickness and the Color Reflectivity Discretization Analysis (CORDA), a novel optical coherence tomography (OCT) analysis method, to differentiate between normal subjects, glaucoma suspects, and glaucoma patients.
Analysis of peripapillary OCT images using Cirrus SD-OCT (optic nerve head cube 200 × 200 protocol) and postacquisition CORDA analysis of peripapillary RNFL B-scan images was performed. In total, 291 eyes of 148 subjects (94 normal eyes, 100 primary open-angle glaucoma suspect eyes, and 97 eyes with primary open-angle glaucoma) were included. Area under the receiver operating characteristic curve was estimated for each region and method (Cirrus vs. CORDA) for differentiating eyes with glaucoma, and those that are glaucoma suspect, from normal eyes.
CORDA HR1 parameter discriminated glaucoma patients from normal subjects more accurately than Cirrus RNFL thickness in nasal (P = 0.003) and temporal (P = 0.001) regions. HR1 showed greater area under the receiver operating characteristic curve than Cirrus RNFL thickness when discriminating glaucoma suspects from normal subjects in the superior (P = 0.02), nasal (P = 0.003), and temporal (P = 0.001) regions. Both were similar for mean and the inferior regions.
In this study, the novel CORDA HR1 differentiated between normal subjects and glaucoma suspects more accurately than Cirrus RNFL, and in temporal and nasal regions when discriminating between normal and glaucomatous eyes. CORDA analysis may improve the diagnostic accuracy of Cirrus OCT for glaucoma and glaucoma suspects.
比较Cirrus视网膜神经纤维层（RNFL）厚度测量与一种新型光学相干断层扫描（OCT）分析方法——颜色反射率离散化分析（CORDA）区分正常受试者、青光眼疑似患者和青光眼患者的能力。
使用Cirrus SD - OCT（视神经乳头立方体200×200协议）对视乳头周围OCT图像进行分析，并对视乳头周围RNFL B扫描图像进行采集后CORDA分析。共纳入148名受试者的291只眼（94只正常眼、100只原发性开角型青光眼疑似眼和97只原发性开角型青光眼眼）。估计每个区域和方法（Cirrus与CORDA）区分青光眼眼和青光眼疑似眼与正常眼的受试者操作特征曲线下面积。
在鼻侧（P = 0.003）和颞侧（P = 0.001）区域，CORDA的HR1参数比Cirrus RNFL厚度更准确地将青光眼患者与正常受试者区分开来。在区分青光眼疑似患者与正常受试者时，HR1在上方（P = 0.02）、鼻侧（P = 0.003）和颞侧（P = 0.001）区域的受试者操作特征曲线下面积大于Cirrus RNFL厚度。在平均区域和下方区域，两者相似。
在本研究中，新型CORDA的HR1比Cirrus RNFL更准确地区分正常受试者和青光眼疑似患者，并且在区分正常眼和青光眼眼时，在颞侧和鼻侧区域表现更佳。CORDA分析可能会提高Cirrus OCT对青光眼和青光眼疑似患者的诊断准确性。
