Detection of glaucoma progression with stratus OCT retinal nerve fiber layer, optic nerve head, and macular thickness measurements.
Detection of glaucoma progression with stratus OCT retinal nerve fiber layer, optic nerve head, and macular thickness measurements.
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DOI：
10.1167/iovs.09-3715
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发表时间：
2009-12
影响因子：
4.4
通讯作者：
Weinreb RN
中科院分区：
文献类型：
--
作者：
Medeiros FA;Zangwill LM;Alencar LM;Bowd C;Sample PA;Susanna R Jr;Weinreb RN
评价和比较光学相干断层扫描(OCT)、视网膜神经纤维层(RNFL)、视神经头和黄斑厚度参数检测青光眼进行性结构损害的能力。这项观察性队列研究包括253名患者的253只眼。每年使用Stratus OCT(Carl Zeiss Meditec，Inc.，都柏林，CA)以及视盘立体摄影和标准自动视野(SAP)视野获取图像。中位随访期为4.01年。进展由SAP(Carl Zeiss Meditec，Inc.)的指导进展分析软件确定。以及由专家评分员执行的对视盘立体摄影的掩蔽评估。使用随机系数模型和受试者操作特征(ROC)曲线来评估层状OCT参数随时间的变化与SAP和/或立体摄影所确定的进展之间的关系。在253只眼中，31只眼(13%)通过立体摄影和/或SAP显示随时间推移而进展。进展组平均神经纤维层厚度变化率明显高于非进展组(−为0.72μm/y，非进展组为0.14μm/y；P=0.004)，特异度为80%，敏感度为77%。RNFL参数在区分进展者和非进展者方面明显优于ONH和黄斑厚度测量。各扫描区域ROC曲线面积最大的参数分别为下侧RNFL厚度(0.84)、视杯面积(0.66)和下侧黄斑内侧厚度(0.64)。Stratus OCT RNFL参数区分了通过视野或视盘照片进行进展的眼睛和通过这些方法保持稳定的眼睛，并且在检测随时间变化方面明显优于ONH和黄斑厚度参数。
To evaluate and compare the ability of optical coherence tomography (OCT) retinal nerve fiber layer (RNFL), optic nerve head, and macular thickness parameters to detect progressive structural damage in glaucoma. This observational cohort study included 253 eyes of 253 patients. Images were obtained annually with the Stratus OCT (Carl Zeiss Meditec, Inc., Dublin, CA) along with optic disc stereophotographs and standard automated perimetry (SAP) visual fields. The median follow-up time was 4.01 years. Progression was determined by the Guided Progression Analysis software for SAP (Carl Zeiss Meditec, Inc.) and by masked assessment of optic disc stereophotographs performed by expert graders. Random coefficient models and receiver operating characteristic (ROC) curves were used to evaluate the relationship between change in Stratus OCT parameters over time and progression as determined by SAP and/or stereophotographs. From the 253 eyes, 31 (13%) showed progression over time by stereophotographs and/or SAP. Mean rates of change in average RNFL thickness were significantly higher for progressors compared with nonprogressors (−0.72 μm/y vs. 0.14 μm/y; P = 0.004), with sensitivity of 77% for specificity of 80%. RNFL parameters performed significantly better than ONH and macular thickness measurements in discriminating progressors from nonprogressors. The parameters with the largest ROC curve areas for each scanning area were inferior RNFL thickness (0.84), cup area (0.66), and inferior inner macula thickness (0.64). Stratus OCT RNFL parameters discriminated between eyes progressing by visual fields or optic disc photographs and eyes that remained stable by these methods and performed significantly better than ONH and macular thickness parameters in detecting change over time.
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影响因子：
13.7
作者：
Hoffmann, EM;Bowd, C;Weinreb, RN
通讯作者：
Weinreb, RN
影响因子：
4.2
作者：
Medeiros, FA;Zangwill, LM;Weinreb, RN
通讯作者：
Weinreb, RN
影响因子：
13.7
作者：
Lu, Ake Tzu-Hui;Wang, Mingwu;Huang, David
通讯作者：
Huang, David
影响因子：
4.4
作者：
Leung, Christopher Kai-shun;Cheung, Carol Yim-lui;Weinreb, Robert N.
通讯作者：
Weinreb, Robert N.
影响因子：
4.4
作者：
Ishikawa, H;Gabriele, ML;Schuman, JS
通讯作者：
Schuman, JS