Sadiq Mohammad A, Rashid Aymen, Channa Roomasa, Hatef Elham, Do Diana V, Nguyen Quan Dong, Sepah Yasir J
Ocular Imaging Research and Reading Center (OIRRC), Stanley M Truhlsen Eye Institute, University of Nebraska Medical Center, Omaha, NE, 68198, USA.
F1000Res. 2013 May 23;2:131. doi: 10.12688/f1000research.2-131.v2. eCollection 2013.
To evaluate the reproducibility and reliability of optical coherence tomography scans obtained using the time domain (TD-OCT) Stratus (TM) OCT, and the Spectral Domain (SD-OCT) Spectralis (TM) and Cirrus (TM) OCT devices before and after manual correction in eyes with either Neovascular (NV-AMD) or Non-Neovascular (NNV-AMD) age-related macular degeneration.
Prospective observational study.
University-based retina practice.
Thirty-six patients (50 eyes) with NV-AMD or NNV-AMD.
OCT scans were taken simultaneously using one TD-OCT and two SD-OCT devices.
Macular thickness measurements were assessed before and after correction of the algorithm by constructing Bland-Altman plots for agreement and calculating intraclass correlation coefficients (ICCs) and coefficients of repeatability (COR) to evaluate intraclass repeatability.
Spectralis had the highest number of images needing manual correction. All machines had high ICCs, with Spectralis having the highest. Also, Bland-Altman plots indicated that there was low agreement between Cirrus™ and Stratus™, Spectralis™ and Stratus™, while there was good agreement between the Cirrus™ and Spectralis™. The CORs were lowest for Spectralis (TM) and similar and higher for Cirrus (TM) and Stratus (TM). Agreement, CORs, and ICCs generally improved after manual correction, but only minimally.
Agreement is low between devices, except between both SD-OCT machines. Manual correction tends to improve results.
评估在患有新生血管性(NV-AMD)或非新生血管性(NNV-AMD)年龄相关性黄斑变性的眼中,使用时域(TD-OCT)Stratus(TM)OCT、光谱域(SD-OCT)Spectralis(TM)和Cirrus(TM)OCT设备获得的光学相干断层扫描在手动校正前后的可重复性和可靠性。
前瞻性观察性研究。
基于大学的视网膜诊所。
36例患有NV-AMD或NNV-AMD的患者(50只眼)。
使用一台TD-OCT和两台SD-OCT设备同时进行OCT扫描。
通过构建Bland-Altman图评估一致性,并计算组内相关系数(ICC)和重复性系数(COR)以评估组内重复性,从而在算法校正前后评估黄斑厚度测量值。
Spectralis需要手动校正的图像数量最多。所有机器的ICC都很高,其中Spectralis最高。此外,Bland-Altman图表明,Cirrus™和Stratus™、Spectralis™和Stratus™之间的一致性较低,而Cirrus™和Spectralis™之间的一致性良好。Spectralis(TM)的COR最低,Cirrus(TM)和Stratus(TM)的COR相似且更高。手动校正后,一致性、COR和ICC总体上有所改善,但改善程度很小。
除两台SD-OCT机器之间外,各设备之间的一致性较低。手动校正往往会改善结果。