Department of Ophthalmology, USC Roski Eye Institute.
Department of Bioengineering, University of Washington, Seattle, WA.
J Glaucoma. 2020 Sep;29(9):823-830. doi: 10.1097/IJG.0000000000001570.
PRéCIS:: Averaging triplicate en face angiograms of the radial peripapillary capillary (RPC) plexus with optical coherence tomography angiography (OCTA) improves vessel visualization, reduces vessel density parameters, and increases the diagnostic accuracy for glaucoma of one such parameter.
The purpose of this study was to test the hypothesis that triplicate averaging of the RPC layer improves visualization and diagnostic accuracy of OCTA for glaucoma.
This is a cross-sectional study involving 63 primary open-angle glaucoma patients and 70 age-matched glaucoma suspects. Triplicate 6×6 mm OCTA scans of the optic nerve head were acquired, and the RPC layer was extracted. RPC en face images were registered and averaged. Parameters of global entropy, global standard deviation, local texture correlation, local homogeneity, signal-to-noise ratio, and intercapillary distance were used to measure the change in visualization with averaging. Vessel area density (VAD), vessel skeleton density (VSD), and flux parameters were calculated in a 2.8 mm annulus excluding the optic disc. The diagnostic accuracy of these parameters for glaucoma was assessed by calculating the area under the receiver operating curve (AUC) values.
Three-frame averaging resulted in decreased global entropy and global standard deviation (Ps<0.001), and increased local texture correlation, local homogeneity, signal-to-noise ratio, and intercapillary distance (Ps<0.001). Averaged images also had reduced VAD, VSD, and flux (Ps<0.001). AUC was significantly increased for VSD after image averaging (P=0.018), while no significant change in AUC was observed for VAD (P=0.229) or flux (P=0.193).
Triplicate averaging improves visualization of the RPC layer and the diagnostic accuracy of VSD for glaucoma. The impact of image averaging on OCTA diagnostic performance and other potential applications warrants further exploration.
本研究旨在验证一个假设,即重复平均处理 RPC 层可改善 OCTA 对青光眼的可视化和诊断准确性。
这是一项横断面研究,纳入了 63 例原发性开角型青光眼患者和 70 例年龄匹配的青光眼疑似患者。获取视神经头的 6×6mm OCTA 扫描 3 遍,并提取 RPC 层。对 RPC 面对图像进行注册和平均处理。使用全局熵、全局标准差、局部纹理相关性、局部同质性、信噪比和毛细血管间距等参数来衡量平均处理对可视化的改善。在排除视盘的 2.8mm 环中计算血管面积密度(VAD)、血管骨架密度(VSD)和流量参数。通过计算接收器操作曲线(AUC)值来评估这些参数对青光眼的诊断准确性。
重复平均处理可改善 RPC 层的可视化,并提高 VSD 对青光眼的诊断准确性。图像平均处理对 OCTA 诊断性能和其他潜在应用的影响值得进一步探索。