Karl Landsteiner Institute for Retinal Research and Imaging, Vienna, Austria.
Department of Ophthalmology, Rudolf Foundation Hospital, Juchgasse 25, 1030, Vienna, Austria.
Sci Rep. 2020 Oct 1;10(1):16274. doi: 10.1038/s41598-020-73516-z.
Diabetic maculopathy (DM) is a microvascular dysfunction clinically characterized by microaneurysms (MA) leading to edema and central visual deprivation. This prospective explorative study investigated 27 eyes of 17 patients with DM by fluorescein/indocyanine green angiography (FA/ICGA; SPECTRALIS HRA-OCT, Heidelberg Engineering) and by swept source-optical coherence tomography angiography (SS-OCTA; DRI-OCT Triton Plus, Topcon) to identify clinically relevant MAs. The SS-OCTA cubes were split into the superficial capillary plexus (SCP) and the deep capillary plexus (DCP) according to the automated segmentation. The images of all modalities were superimposed for alignment by an Early Treatment Diabetic Retinopathy Study grid overlay and compared to each other. In total, the mean number of MAs in FA was 33.4 ± 22 (standard deviation) (median 27.5 [q1:21.75;q3:38.25]), in ICGA 24.9 ± 16.9 (17.5 [14;35]), in the SCP 6.5 ± 3.7 (5.5 [3.75;9.25]) and in the DCP 18.1 ± 10.5 (18.5 [10.75;23.5]). Mixed effects models between ICGA and the DCP were borderline significant (p = 0.048; 95% confidence interval 0.21 to 13.49), whereas all other imaging methods differed significantly. Quantitative analysis of MAs in DM showed a plausible agreement between ICGA and the DCP in SS-OCTA. These findings contribute to the imaging methodology in DM.
糖尿病性黄斑病变(DM)是一种微血管功能障碍,临床上表现为微动脉瘤(MA)导致水肿和中心视力丧失。本前瞻性探索性研究通过荧光素/吲哚菁绿血管造影(FA/ICGA;SPECTRALIS HRA-OCT,Heidelberg Engineering)和扫频源光相干断层扫描血管造影(SS-OCTA;DRI-OCT Triton Plus,Topcon)对 17 名糖尿病患者的 27 只眼进行了研究,以识别临床相关的 MA。SS-OCTA 立方体根据自动分割分为浅层毛细血管丛(SCP)和深层毛细血管丛(DCP)。所有模态的图像通过早期治疗糖尿病视网膜病变研究网格叠加进行叠加对齐,并相互比较。FA 中 MA 的平均数量为 33.4±22(标准差)(中位数 27.5[q1:21.75;q3:38.25]),ICGA 中为 24.9±16.9(17.5[14;35]),SCP 中为 6.5±3.7(5.5[3.75;9.25]),DCP 中为 18.1±10.5(18.5[10.75;23.5])。ICGA 与 DCP 之间的混合效应模型呈边缘显著(p=0.048;95%置信区间 0.21 至 13.49),而所有其他成像方法差异均有统计学意义。DM 中 MA 的定量分析显示,SS-OCTA 中 ICGA 与 DCP 之间存在合理的一致性。这些发现为 DM 的成像方法学提供了参考。