Quantitative classification of eyes with and without intermediate age-related macular degeneration using optical coherence tomography.
Quantitative classification of eyes with and without intermediate age-related macular degeneration using optical coherence tomography.
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DOI：
10.1016/j.ophtha.2013.07.013
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发表时间：
2014-01
期刊：
影响因子：
13.7
通讯作者：
Age-Related Eye Disease Study 2 Ancillary Spectral Domain Optical Coherence Tomography Study Group
中科院分区：
文献类型：
--
作者：
Farsiu S;Chiu SJ;O'Connell RV;Folgar FA;Yuan E;Izatt JA;Toth CA;Age-Related Eye Disease Study 2 Ancillary Spectral Domain Optical Coherence Tomography Study Group
通过对老年人进行光谱域光学相干断层扫描（SD-OCT）成像，确定存在中度年龄相关性黄斑变性（AMD）的定量指标。诊断试验和技术评价。一只眼睛来自115名无AMD的老年受试者和269名患有中度AMD的受试者，来自AMD相关眼病研究2（AREDS 2）辅助SD-OCT研究。我们半自动描绘了视网膜色素上皮（RPE）和RPE玻璃疣复合体（RPEDC，从玻璃疣和RPE层的顶点到布鲁赫膜的轴向距离）和总视网膜（TR，内界膜和布鲁赫膜之间的轴向距离）边界。我们记录并平均来自对照受试者的厚度图，以生成“正常”非AMD厚度图。我们认为RPEDC厚度大于或小于平均值的3个标准差为异常，分别表示玻璃疣或地图状萎缩（GA）。我们测量了每例受试者的TR体积、RPEDC体积和异常RPEDC增厚和变薄体积。通过使用这4个疾病指标的不同组合，我们在广义线性模型回归框架的基础上设计了5个AMD存在的自动分类器。我们使用留一法训练和评估这些分类器的性能。以中央凹为中心的直径为5 mm的圆柱体中RPEDC和TR厚度的范围和地形分布。分离AMD和对照眼的最有效方法需要所有4种疾病指标。该分类器的受试者操作特征（ROC）的曲线下面积（AUC）>0.99。在我们的研究中，AMD与对照眼的总体神经感觉视网膜增厚与以前的小型研究形成对比。我们通过分析一个大的眼球图谱中正常和异常RPEDC厚度的地形分布，确定并验证了有效的生物特征来区分AMD和正常眼睛。我们创建了一个在线图谱，以共享本研究中的38400张SD-OCT图像，其相应的分割和定量测量。在参考文献之后可以找到专有或商业披露。
To define quantitative indicators for the presence of intermediate age-related macular degeneration (AMD) via spectral-domain optical coherence tomography (SD-OCT) imaging of older adults. Evaluation of diagnostic test and technology. One eye from 115 elderly subjects without AMD and 269 subjects with intermediate AMD from the Age-Related Eye Disease Study 2 (AREDS2) Ancillary SD-OCT Study. We semiautomatically delineated the retinal pigment epithelium (RPE) and RPE drusen complex (RPEDC, the axial distance from the apex of the drusen and RPE layer to Bruch's membrane) and total retina (TR, the axial distance between the inner limiting and Bruch's membranes) boundaries. We registered and averaged the thickness maps from control subjects to generate a map of “normal” non-AMD thickness. We considered RPEDC thicknesses larger or smaller than 3 standard deviations from the mean as abnormal, indicating drusen or geographic atrophy (GA), respectively. We measured TR volumes, RPEDC volumes, and abnormal RPEDC thickening and thinning volumes for each subject. By using different combinations of these 4 disease indicators, we designed 5 automated classifiers for the presence of AMD on the basis of the generalized linear model regression framework. We trained and evaluated the performance of these classifiers using the leave-one-out method. The range and topographic distribution of the RPEDC and TR thicknesses in a 5-mm diameter cylinder centered at the fovea. The most efficient method for separating AMD and control eyes required all 4 disease indicators. The area under the curve (AUC) of the receiver operating characteristic (ROC) for this classifier was >0.99. Overall neurosensory retinal thickening in eyes with AMD versus control eyes in our study contrasts with previous smaller studies. We identified and validated efficient biometrics to distinguish AMD from normal eyes by analyzing the topographic distribution of normal and abnormal RPEDC thicknesses across a large atlas of eyes. We created an online atlas to share the 38 400 SD-OCT images in this study, their corresponding segmentations, and quantitative measurements. Proprietary or commercial disclosure may be found after the references.
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DOI：
10.1097/iae.0b013e318242b949
发表时间：
2012-09
期刊：
Retina (Philadelphia, Pa.)
影响因子：
--
作者：
Hartmann KI;Gomez ML;Bartsch DU;Schuster AK;Freeman WR
通讯作者：
Freeman WR
影响因子：
--
作者：
Kassoff, A;Kassoff, J;Chew, EY
通讯作者：
Chew, EY
影响因子：
4.4
作者：
Burke, Tomas R.;Rhee, David W.;Greenstein, Vivienne C.
通讯作者：
Greenstein, Vivienne C.
影响因子：
4.4
作者：
Curcio, Christine A.;Messinger, Jeffrey D.;Spaide, Richard F.
通讯作者：
Spaide, Richard F.
影响因子：
4.4
作者：
Hood DC;Lin CE;Lazow MA;Locke KG;Zhang X;Birch DG
通讯作者：
Birch DG