Reproducibility of spectral-domain optical coherence tomography retinal thickness measurements and conversion to equivalent time-domain metrics in diabetic macular edema.
Reproducibility of spectral-domain optical coherence tomography retinal thickness measurements and conversion to equivalent time-domain metrics in diabetic macular edema.
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DOI：
10.1001/jamaophthalmol.2014.1698
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发表时间：
2014-09
影响因子：
8.1
通讯作者：
Plous, Oren Z.
中科院分区：
文献类型：
--
作者：
Bressler, Susan B.;Edwards, Allison R.;Chalam, Kakarla V.;Bressler, Neil M.;Glassman, Adam R.;Jaffe, Glenn J.;Melia, Michele;Saggau, David D.;Plous, Oren Z.
视网膜成像的进步导致了结合了谱域（SD）技术的光学相干断层扫描（OCT）仪器的发展。了解测量变异性和在不同机器上获得的视网膜厚度测量之间的关系对于在临床试验和临床环境中正确使用至关重要。评价时域（TD）（Zeiss Stratus）和SD（Zeiss Cirrus和Heidelberg Spectralis）仪器获得的OCT图像的视网膜厚度测量结果的再现性，并制定公式将SD-OCT的视网膜厚度测量结果转换为TD-OCT的等效值。每只研究眼进行两次重复的Stratus扫描，然后进行两次重复的Cirrus或Spectralis（使用真实的时间图像配准）扫描，以中央凹为中心。糖尿病患者至少有一只眼睛患有累及中央的糖尿病性黄斑水肿（DME），定义为Stratus中央亚区厚度（CST）≥250μm。另一个标准队列，患有糖尿病但没有DME的个体，被招募。OCT CST和黄斑体积Spectralis上CST相对变化的Bland-Altman重复性系数（从测量变异性可以预期的变化程度）低于Stratus和Cirrus扫描（分别为7%、12- 15%和14%）。对于每个队列，初始Stratus CST在92%的时间内在重复Stratus测量值的10%内;对于Stratus/Cirrus和Stratus/Spectralis组，转换方程预测Stratus CST分别在86%和89%的时间内在观测厚度的10%内。机器之间CST相对变化的Bland-Altman一致性限值（测量变异性的预期变化程度，合并仪器内和仪器间变异性）为21%（Cirrus）和19%（Spectralis），比较预测值与实际Stratus测量值。在Spectralis上的繁殖能力比Cirrus和Stratus更好。将卷云或光谱测量值转换为层云等效值的转换方程在所观察到的层云厚度值的10%以内似乎是可行的。当使用相同的机器时，CST变化超过10%，或当转换机器时，转换为Stratus等效值后，CST变化超过20%，可能是由于视网膜厚度的变化，而不是测量误差。
Advances in retinal imaging have led to the development of optical coherence tomography (OCT) instruments that incorporate spectral domain (SD) technology. Understanding measurement variability and relationships between retinal thickness measurements obtained on different machines is critical for proper use in clinical trials and clinical settings. Evaluate reproducibility of retinal thickness measurements from OCT images obtained by time domain (TD) (Zeiss Stratus) and SD (Zeiss Cirrus and Heidelberg Spectralis) instruments and formulate equations to convert retinal thickness measurements from SD-OCT to equivalent values on TD-OCT. Cross-sectional observational study. Each study eye underwent two replicate Stratus scans followed by two replicate Cirrus or Spectralis (real time image registration utilized) scans centered on the fovea. Private and institutional practices Diabetic persons with at least one eye with central-involved diabetic macular edema (DME), defined as Stratus central subfield thickness (CST)≥250μm. An additional normative cohort, individuals with diabetes but without DME, was enrolled. OCT CST and macular volume The Bland-Altman coefficient of repeatability for relative change in CST (the degree of change that could be expected from measurement variability) was lower on Spectralis compared with Stratus and Cirrus scans (7%, 12–15%, and 14%, respectively). For each cohort, the initial Stratus CST was within 10% of the replicate Stratus measurement 92% of the time; the conversion equations predicted a Stratus CST within 10% of the observed thickness 86% and 89% of the time for Stratus/Cirrus and Stratus/Spectralis groups, respectively. The Bland-Altman limits of agreement for relative change in CST between machines (the degree of change that could be expected from measurement variability, combined within and between instrument variability) were 21% for Cirrus and 19% for Spectralis, comparing predicted versus actual Stratus measurement. Reproducibility appears better on Spectralis than Cirrus and Stratus. Conversion equations to transform Cirrus or Spectralis measurements to Stratus-equivalent values, within 10% of the observed Stratus thickness values, appear feasible. CST changes beyond 10% when using the same machine or 20% when switching machines, after conversion to Stratus equivalents, are likely due to a change in retinal thickness and not measurement error.
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DOI：
10.1097/iae.0b013e318217d739
发表时间：
2011-06
期刊：
Retina (Philadelphia, Pa.)
影响因子：
--
作者：
Diabetic Retinopathy Clinical Research Network;Googe J;Brucker AJ;Bressler NM;Qin H;Aiello LP;Antoszyk A;Beck RW;Bressler SB;Ferris FL 3rd;Glassman AR;Marcus D;Stockdale CR
通讯作者：
Stockdale CR
影响因子：
4.4
作者：
Comyn, Oliver;Heng, Ling Zhi;Patel, Praveen J.
通讯作者：
Patel, Praveen J.
影响因子：
4.4
作者：
Chalam, Kakarla V.;Bressler, Susan B.;Nielsen, Jared S.
通讯作者：
Nielsen, Jared S.
影响因子：
3.9
作者：
Ibrahim, M. A.;Sepah, Y. J.;Nguyen, Q. D.
通讯作者：
Nguyen, Q. D.
影响因子：
4.4
作者：
Forooghian, Farzin;Cukras, Catherine;Wong, Wai T.
通讯作者：
Wong, Wai T.