Tan Bingyao, Sim Yin Ci, Chua Jacqueline, Yusufi Dheo, Wong Damon, Yow Ai Ping, Chin Calvin, Tan Anna C S, Sng Chelvin C A, Agrawal Rupesh, Gopal Lekha, Sim Ralene, Tan Gavin, Lamoureux Ecosse, Schmetterer Leopold
SERI-NTU Advanced Ocular Engineering (STANCE), Singapore.
NTU Institute for Health Technologies, Singapore.
Biomed Opt Express. 2021 Jun 14;12(7):4032-4045. doi: 10.1364/BOE.423469. eCollection 2021 Jul 1.
Visualizing and characterizing microvascular abnormalities with optical coherence tomography angiography (OCTA) has deepened our understanding of ocular diseases, such as glaucoma, diabetic retinopathy, and age-related macular degeneration. Two types of microvascular defects can be detected by OCTA: focal decrease because of localized absence and collapse of retinal capillaries, which is referred to as the non-perfusion area in OCTA, and diffuse perfusion decrease usually detected by comparing with healthy case-control groups. Wider OCTA allows for insights into peripheral retinal vascularity, but the heterogeneous perfusion distribution from the macula, parapapillary area to periphery hurdles the quantitative assessment. A normative database for OCTA could estimate how much individual's data deviate from the normal range, and where the deviations locate. Here, we acquired OCTA images using a swept-source OCT system and a 12×12 mm protocol in healthy subjects. We automatically segmented the large blood vessels with U-Net, corrected for anatomical factors such as the relative position of fovea and disc, and segmented the capillaries by a moving window scheme. A total of 195 eyes were included and divided into 4 age groups: < 30 (n=24) years old, 30-49 (n=28) years old, 50-69 (n=109) years old and >69 (n=34) years old. This provides an age-dependent normative database for characterizing retinal perfusion abnormalities in 12×12 mm OCTA images. The usefulness of the normative database was tested on two pathological groups: one with diabetic retinopathy; the other with glaucoma.
利用光学相干断层扫描血管造影(OCTA)可视化和表征微血管异常,加深了我们对青光眼、糖尿病视网膜病变和年龄相关性黄斑变性等眼部疾病的理解。OCTA可以检测到两种类型的微血管缺陷:一种是由于视网膜毛细血管局部缺失和塌陷导致的局灶性减少,在OCTA中称为无灌注区;另一种是通常通过与健康对照病例组比较检测到的弥漫性灌注减少。更宽视野的OCTA有助于深入了解周边视网膜血管情况,但从黄斑、视乳头旁区域到周边的异质性灌注分布阻碍了定量评估。OCTA的标准数据库可以估计个体数据与正常范围的偏离程度以及偏离位置。在此,我们使用扫频源OCT系统和12×12毫米方案在健康受试者中获取了OCTA图像。我们使用U-Net自动分割大血管,校正了诸如中央凹和视盘相对位置等解剖因素,并通过移动窗口方案分割毛细血管。总共纳入了195只眼睛,并分为4个年龄组:<30岁(n = 24)、30 - 49岁(n = 28)、50 - 69岁(n = 109)和>69岁(n = 34)。这提供了一个年龄相关的标准数据库,用于表征12×12毫米OCTA图像中的视网膜灌注异常。该标准数据库的实用性在两个病理组中进行了测试:一组为糖尿病视网膜病变;另一组为青光眼。