Department of Ophthalmology, University Hospital Bonn, Bonn, Germany.
Asia Pac J Ophthalmol (Phila). 2020 Jul-Aug;9(4):308-314. doi: 10.1097/APO.0000000000000303.
With the advent of smartphone-based fundus imaging (SBFI), a low-cost alternative to conventional digital fundus photography has become available. SBFI allows for a mobile fundus examination, is applicable both with and without pupil dilation, comes with built-in connectivity and post-processing capabilities, and is relatively easy to master. Furthermore, it is delegable to paramedical staff/technicians and, hence, suitable for telemedicine. Against this background a variety of SBFI applications have become available including screening for diabetic retinopathy, glaucoma, and retinopathy of prematurity and its applications in emergency medicine and pediatrics. In addition, SBFI is convenient for teaching purposes and might serve as a surrogate for direct ophthalmoscopy. First wide-field montage techniques are available and the combination of SBFI with machine learning algorithms for image analyses is promising. In conclusion, SBFI has the potential to make fundus examinations and screenings for patients particularly in low- and middle-income settings more accessible and, therefore, aid tackling the burden of diabetic retinopathy, glaucoma, and retinopathy of prematurity screening. However, image quality for SBFI varies substantially and a reference standard for grading appears prudent. In addition, there is a strong need for comparison of different SBFI approaches in terms of applicability to disease screening and cost-effectiveness.
随着基于智能手机的眼底成像(SBFI)的出现,一种低成本的替代传统数字眼底摄影的方法已经出现。SBFI 允许进行移动眼底检查,无论是瞳孔扩张还是不扩张都适用,具有内置的连接和后处理功能,并且相对容易掌握。此外,它可以委托给辅助医疗人员/技术人员,因此适用于远程医疗。在此背景下,出现了各种 SBFI 应用,包括筛查糖尿病性视网膜病变、青光眼和早产儿视网膜病变,以及在急诊医学和儿科中的应用。此外,SBFI 方便教学,并且可以作为直接检眼镜的替代物。首先,已经有了宽视场蒙太奇技术,并且将 SBFI 与用于图像分析的机器学习算法相结合具有广阔的前景。总之,SBFI 有可能使眼底检查和筛查对患者,特别是在低收入和中等收入国家的患者更加便利,因此有助于解决糖尿病性视网膜病变、青光眼和早产儿视网膜病变筛查的负担。然而,SBFI 的图像质量差异很大,因此明智的做法是制定分级的参考标准。此外,非常需要比较不同 SBFI 方法在疾病筛查和成本效益方面的适用性。