Department of Ophthalmology, University Hospital Bonn, Bonn, Germany.
Sankara Academy of Vision, Sankara Eye Hospital Bangalore, Bangalore, India.
Ophthalmology. 2020 Nov;127(11):1529-1538. doi: 10.1016/j.ophtha.2020.05.025. Epub 2020 May 25.
Early detection and treatment can prevent irreversible blindness from diabetic retinopathy (DR), which is the leading cause of visual impairment among working-aged adults worldwide. Some 80% of affected persons live in low- and middle-income countries, yet lack of resources has largely prevented DR screening implementation in these world regions. Smartphone-based fundus imaging (SBFI) allows for low-cost mobile fundus examination using an adapter on a smartphone; however, key aspects such as image quality, diagnostic accuracy, and comparability of different approaches have not been systematically assessed to date.
Evaluation of diagnostic technology.
A total of 381 eyes of 193 patients with diabetes were recruited at outreach eye clinics in South India.
We compared 4 technically different approaches of SBFI (3 approaches based on direct and 1 approach based on indirect ophthalmoscopy) in terms of image quality and diagnostic accuracy for DR screening.
Image quality (sharpness/focus, reflex artifacts, contrast, and illumination), field-of-view, examination time, and diagnostic accuracy for DR screening were analyzed against conventional fundus photography and clinical examination.
Smartphone-based fundus imaging based on indirect ophthalmoscopy yielded the best image quality (P < 0.01), the largest field-of-view, and the longest examination time (111 vs. 68-86 seconds, P < 0.0001). Agreement with the reference standard (Cohen's kappa 0.868) and sensitivity/specificity to detect DR were highest for the indirect SBFI approach (0.79/0.99 for any DR and 1.0/1.0 for severe DR, 0.79/1.0 for diabetic maculopathy).
Smartphone-based fundus imaging can meet DR screening requirements in an outreach setting; however, not all devices are suitable in terms of image quality and diagnostic accuracy. Smartphone-based fundus imaging might aid in alleviating the burden of DR screening in low- and middle-income countries, and these results will allow for a better selection of SBFI devices in field trials for DR screening.
糖尿病视网膜病变(DR)是全球工作年龄段人群视力受损的主要原因,早期发现和治疗可以防止其发展为不可逆转的失明。约 80%的受影响者生活在中低收入国家,但这些世界区域由于资源匮乏,在很大程度上阻止了 DR 筛查的实施。基于智能手机的眼底成像(SBFI)可使用智能手机适配器进行低成本的移动眼底检查;然而,到目前为止,尚未系统评估图像质量、诊断准确性和不同方法的可比性等关键方面。
诊断技术评估。
在印度南部的外展眼科诊所共招募了 193 名糖尿病患者的 381 只眼。
我们比较了 4 种技术不同的 SBFI 方法(3 种基于直接眼底镜检查的方法和 1 种基于间接眼底镜检查的方法)在 DR 筛查方面的图像质量和诊断准确性。
针对传统眼底摄影和临床检查,分析了图像质量(清晰度/焦点、反射伪影、对比度和照明)、视场、检查时间和 DR 筛查的诊断准确性。
基于间接眼底镜的 SBFI 获得了最佳的图像质量(P < 0.01)、最大的视场和最长的检查时间(111 秒与 68-86 秒,P < 0.0001)。与参考标准的一致性(Cohen's kappa 0.868)以及间接 SBFI 方法检测 DR 的敏感性/特异性最高(任何 DR 的 0.79/0.99 和严重 DR 的 1.0/1.0,糖尿病性黄斑病变的 0.79/1.0)。
基于智能手机的眼底成像可以满足外展环境中的 DR 筛查要求;然而,并非所有设备在图像质量和诊断准确性方面都适用。基于智能手机的眼底成像可能有助于缓解中低收入国家 DR 筛查的负担,这些结果将有助于更好地选择 DR 筛查的 SBFI 设备进行现场试验。