Department of Ophthalmology, New England Eye Center, Tufts Medical Center, Boston, Massachusetts.
Department of Electrical Engineering and Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts; and.
Retina. 2020 Mar;40(3):412-420. doi: 10.1097/IAE.0000000000002403.
To combine advances in high-speed, wide-field optical coherence tomography angiography (OCTA) with image processing methods for semiautomatic quantitative analysis of capillary nonperfusion in patients with diabetic retinopathy (DR).
Sixty-eight diabetic patients (73 eyes), either without retinopathy or with different degrees of retinopathy, were prospectively recruited for volumetric swept-source OCTA imaging using 12 mm × 12 mm fields centered at the fovea. A custom, semiautomatic software algorithm was used to quantify areas of capillary nonperfusion.
The mean percentage of nonperfused area was 0.1% (95% confidence interval: 0.0-0.4) in the eyes without DR; 2.1% (95% confidence interval: 1.2-3.7) in the nonproliferative DR eyes (mild, moderate, and severe), and 8.5% (95% confidence interval: 5.0-14.3) in the proliferative DR eyes. The percentage of nonperfused area increased in a statistically significant manner from eyes without DR, to eyes with nonproliferative DR, to eyes with proliferative DR.
Capillary nonperfusion area in the posterior retina increases with increasing DR severity as measured by swept-source OCTA. Quantitative analysis of retinal nonperfusion on wide-field OCTA may be useful for early detection and monitoring of disease in patients with diabetes and DR.
将高速、宽视场光学相干断层扫描血管造影(OCTA)的进展与图像处理方法相结合,用于对糖尿病视网膜病变(DR)患者的毛细血管无灌注进行半自动定量分析。
前瞻性招募 68 名糖尿病患者(73 只眼),这些患者或无视网膜病变,或有不同程度的视网膜病变,在黄斑中心进行 12mm×12mm 视场的容积扫频源 OCTA 成像。使用自定义的半自动软件算法来量化毛细血管无灌注区域。
无 DR 的眼中,无灌注区的平均百分比为 0.1%(95%置信区间:0.0-0.4);非增殖性 DR 眼中为 2.1%(95%置信区间:1.2-3.7)(轻度、中度和重度),增殖性 DR 眼中为 8.5%(95%置信区间:5.0-14.3)。无灌注区的百分比从无 DR 的眼,到非增殖性 DR 的眼,再到增殖性 DR 的眼,呈统计学显著增加。
通过扫频源 OCTA 测量,后视网膜毛细血管无灌注区在 DR 严重程度增加时增加。宽视野 OCTA 上视网膜无灌注的定量分析可能有助于糖尿病和 DR 患者的早期发现和疾病监测。