Medical Retina, Moorfields Eye Hospital NHS Foundation Trust, London, UK, London, UK
University College London Institute of Ophthalmology, London, UK.
Br J Ophthalmol. 2020 Nov;104(11):1579-1584. doi: 10.1136/bjophthalmol-2019-315269. Epub 2020 Mar 4.
Screening of diabetic retinopathy (DR) reduces blindness by early identification of retinopathy. This study compares DR grades derived from a two-field imaging protocol from two imaging platforms, one providing a single 60-degree horizontal field of view (FOV) and the other, a standard 45-degree FOV.
Cross-sectional study which included 1257 diabetic patients aged ≥18 years attending their DR screening visit in the English National Diabetic Eye Screening Programme (NDESP). Patients with maculopathy (M1), preproliferative (R2) or proliferative DR (R3) were referred to an ophthalmologist. Patients with ungradable images (U) are examined in a slit-lamp biomicroscopy clinic. Image acquisition under mydriasis of two images per eye was carried out with the EIDON and with standard fundus cameras. Evaluation was performed by masked graders.
Agreement after consensus with kappa statistic was 0.89 (quadratic weights (95% CI 0.87 to 0.92)) for NDESP severity grade, 0.88 (quadratic weights (95% CI 0.82 to 0.94)) for referable disease and 0.92 (linear weights (95% CI 0.88 to 0.95)) for maculopathy. The EIDON detected clinically relevant DR features outside the 45-degree fields in two patients (0.16%): one with intraretinal microvascular abnormalities (IRMAs) and one with neovascularisation. In eight patients (0.64%), the EIDON allowed DR feature visualisation inside the 45-degree fields that were not identified in the NDESP images: three patients (0.24%) with IRMA and five patients (0.40%) with maculopathy. The rates of ungradable encounters were 12 (0.95%) and 13 (1.03%) with the EIDON and NDESP images, respectively.
The EIDON identifies a small number of additional patients with referable disease which are not detected with standard imaging. This is due to the EIDON finding disease outside the standard FOV and greater clarity finding disease within the standard FOV.
通过早期发现视网膜病变,对糖尿病性视网膜病变(DR)的筛查可降低失明风险。本研究比较了两种成像平台的双视野成像方案得出的 DR 分级,一种提供单个 60 度水平视野(FOV),另一种提供标准的 45 度 FOV。
横断面研究包括在英国国家糖尿病眼病筛查计划(NDESP)中接受 DR 筛查的 1257 名年龄≥18 岁的糖尿病患者。患有黄斑病变(M1)、非增生性(R2)或增生性 DR(R3)的患者被转诊给眼科医生。无法分级的图像(U)患者在裂隙灯生物显微镜诊所进行检查。双眼每只眼散瞳采集两幅图像,使用 EIDON 和标准眼底相机进行图像采集。评估由盲法分级员进行。
经过一致性kappa 统计分析,NDESP 严重程度分级的一致性为 0.89(二次权重(95%置信区间 0.87 至 0.92)),可转诊疾病的一致性为 0.88(二次权重(95%置信区间 0.82 至 0.94)),黄斑病变的一致性为 0.92(线性权重(95%置信区间 0.88 至 0.95))。EIDON 在两名患者(0.16%)的 45 度视野外检测到临床相关的 DR 特征:一名患者存在视网膜内微血管异常(IRMAs),另一名患者存在新生血管。在八名患者(0.64%)中,EIDON 可以在 NDESP 图像未识别到的 45 度视野内观察到 DR 特征:三名患者(0.24%)存在 IRMA,五名患者(0.40%)存在黄斑病变。EIDON 图像和 NDESP 图像的不可分级发生率分别为 12 例(0.95%)和 13 例(1.03%)。
EIDON 发现了少量标准成像未发现的具有可转诊特征的额外患者。这是由于 EIDON 在标准 FOV 之外发现了疾病,并且在标准 FOV 内发现了更清晰的疾病。