Applying an Open-Source Segmentation Algorithm to Different OCT Devices in Multiple Sclerosis Patients and Healthy Controls: Implications for Clinical Trials.
Applying an Open-Source Segmentation Algorithm to Different OCT Devices in Multiple Sclerosis Patients and Healthy Controls: Implications for Clinical Trials.
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DOI：
10.1155/2015/136295
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发表时间：
2015
影响因子：
2.5
通讯作者：
Saidha S
中科院分区：
文献类型：
--
作者：
Bhargava P;Lang A;Al-Louzi O;Carass A;Prince J;Calabresi PA;Saidha S
背景缺乏跨光学相干断层扫描（OCT）平台操作的分割算法阻碍了MS试验中视网膜层测量的实用性。Objective.确定应用于两台谱域OCT设备的开源、全自动分割算法得出的视网膜层厚度的横截面和纵向一致性。方法.对来自68名MS患者和22名健康对照的Cirrus HD-OCT和Spectralis OCT黄斑扫描进行分段。还检查了包括51名受试者的纵向队列（平均随访时间：1.4 ± 0.9年）。Bland-Altman分析和扫描仪间一致性指数用于评估扫描仪之间的一致性。结果在横截面上观察到神经节细胞和内外核层厚度的平均差异较低（−2.16至0.26 μm）和一致性限（LOA）较窄。纵向上，我们发现所有层的变化平均差异很低（-0.195至0.21 μm），LOA更宽。层厚度随时间的变化率的比较揭示了平台之间的一致结果。结论.在队列水平上，两种扫描仪之间的大多数视网膜层的视网膜厚度测量在横截面和纵向上一致，在个体水平上具有更大的变异性。这种开源分割算法能够组合来自不同OCT平台的数据，扩大OCT作为MS试验中结局指标的使用。
Background. The lack of segmentation algorithms operative across optical coherence tomography (OCT) platforms hinders utility of retinal layer measures in MS trials. Objective. To determine cross-sectional and longitudinal agreement of retinal layer thicknesses derived from an open-source, fully-automated, segmentation algorithm, applied to two spectral-domain OCT devices. Methods. Cirrus HD-OCT and Spectralis OCT macular scans from 68 MS patients and 22 healthy controls were segmented. A longitudinal cohort comprising 51 subjects (mean follow-up: 1.4 ± 0.9 years) was also examined. Bland-Altman analyses and interscanner agreement indices were utilized to assess agreement between scanners. Results. Low mean differences (−2.16 to 0.26 μm) and narrow limits of agreement (LOA) were noted for ganglion cell and inner and outer nuclear layer thicknesses cross-sectionally. Longitudinally we found low mean differences (−0.195 to 0.21 μm) for changes in all layers, with wider LOA. Comparisons of rate of change in layer thicknesses over time revealed consistent results between the platforms. Conclusions. Retinal thickness measures for the majority of the retinal layers agree well cross-sectionally and longitudinally between the two scanners at the cohort level, with greater variability at the individual level. This open-source segmentation algorithm enables combining data from different OCT platforms, broadening utilization of OCT as an outcome measure in MS trials.