Wang Jie, Hormel Tristan, Park Dong-Wouk, Haq Shazib, Bailey Steve, Huang David, Hwang Thomas S, Jia Yali
Casey Eye Institute, Oregon Health & Science University, Portland, Oregon, United States.
Department of Biomedical Engineering, Oregon Health & Science University, Portland, Oregon, United States.
Invest Ophthalmol Vis Sci. 2025 Sep 2;66(12):13. doi: 10.1167/iovs.66.12.13.
To quantify choriocapillaris (CC) flow deficits using projection-resolved optical coherence tomographic angiography (PR-OCTA) and to evaluate whether they are correlated with diabetic retinopathy (DR).
In this retrospective study, OCTA scans covering a range of DR severities were acquired. Shadowing artifacts caused by hard exudates, large inner retinal vessels, and vitreous floaters were detected, along with the retinal fluid area. The CC deficit ratio (percentage of deficit area) was measured and compared with shadowing artifacts and area beneath retinal fluid excluded to assess the effect of these confounding features. The Spearman correlation between the CC deficit ratio and disease severity was calculated, as well as the diagnostic performance (area under the receiver operating characteristic curve).
One hundred eighty-three participants were enrolled in this study. We found a significant positive correlation between age and CC deficit ratio in normal controls (Pearson correlation, P = 0.02). There was no significant difference in deficit ratio between measurements excluding only shadows and those excluding both shadows and the area beneath the fluid (Mann-Whitney U-test, P = 0.81). The CC deficit ratio was positively correlated with DR severity (Spearman correlation, P < 0.01). It was significantly higher in nonproliferative DR and PDR patients compared to normal controls (Tukey HSD, P < 0.01) but not in those with diabetes without DR. The proposed CC deficit segmentation method achieved high repeatability with an intraclass correlation coefficient of 0.92.
The CC deficit ratio measured by the proposed method correlates with the presence and severity of DR.
使用投影分辨光学相干断层扫描血管造影(PR-OCTA)量化脉络膜毛细血管(CC)血流缺损,并评估其是否与糖尿病视网膜病变(DR)相关。
在这项回顾性研究中,获取了涵盖一系列DR严重程度的OCTA扫描图像。检测由硬性渗出物、视网膜内大血管和玻璃体漂浮物引起的阴影伪像以及视网膜液区域。测量CC缺损率(缺损面积百分比),并与阴影伪像和排除的视网膜液下方区域进行比较,以评估这些混杂特征的影响。计算CC缺损率与疾病严重程度之间的Spearman相关性以及诊断性能(受试者操作特征曲线下面积)。
本研究共纳入183名参与者。我们发现正常对照组中年龄与CC缺损率之间存在显著正相关(Pearson相关性,P = 0.02)。仅排除阴影的测量与同时排除阴影和液下方区域的测量之间的缺损率无显著差异(Mann-Whitney U检验,P = 0.81)。CC缺损率与DR严重程度呈正相关(Spearman相关性,P < 0.01)。与正常对照组相比,非增殖性DR和增殖性糖尿病视网膜病变(PDR)患者的CC缺损率显著更高(Tukey HSD检验,P < 0.01),但糖尿病无DR患者的CC缺损率无显著差异。所提出的CC缺损分割方法具有较高的重复性,组内相关系数为0.92。
所提出方法测量的CC缺损率与DR的存在和严重程度相关。