基于智能手机的眼底照片在视力受到威胁的糖尿病视网膜病变筛查中的功效:发展中国家的视角

Mia Nursalamah, Feti Karfiati, Nina Ratnaningsih, Sri Hudaya Widihastha
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摘要

危及视力的糖尿病视网膜病变(VTDR)是由糖尿病引起的视网膜微血管并发症,如不及时治疗可能导致失明。糖尿病视网膜病变筛查是预防糖尿病相关眼部并发症的最有效方法之一。由于使用非便携式眼底照片作为金标准既昂贵又不切实际,因此社会上很少进行与糖尿病视网膜病变相关的眼部检查。本研究旨在确定基于智能手机的眼底照片的准确性,并将其作为一种实用且经济实惠的工具,用于发展中国家的 VTDR 筛查。 这项横断面研究在印度尼西亚西森多国立眼科医院采用了连续技术。使用非便携式眼底照片和基于智能手机的 i-Spot 眼底适配器眼底照片,对年龄≥20 岁的糖尿病患者进行了双视野雾状眼底照片评估。对结果进行了分析,以确定诊断测试参数。 从 139 名患者中获得了 219 张双视野眼底照片。基于智能手机的眼底摄影的灵敏度为 98.4%(CI 96.6-100%),特异度为 87.1%(CI 75.3-98.9%),阳性预测值为 97.9%(CI 95.9-99.9%),阴性预测值为 90.0%(CI 79.3-100%),准确度为 96.8%(CI 94.5-99.8%)。 使用智能手机采集的眼底图像被证明是一种可靠的 VTDR 筛查方法。该工具有望有效筛查人群,帮助预防未来因该病导致的视力损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficacy of Smartphone-based Fundus Photo in Vision Threatening Diabetic Retinopathy Screening: Developing Country Perspective
Vision-threatening diabetic retinopathy (VTDR) is a microvascular retinal complication caused by diabetes mellitus, which may lead to blindness if left untreated. One of the most effective methods to prevent diabetic-related ocular complications is through diabetic retinopathy (DR) screening. The community rarely carries out diabetic retinopathy-related eye examinations because using non-portable fundus photographs as its gold standard is costly and impracticable. This study aimed to determine the accuracy of smartphone-based fundus photographs as a practical and affordable tool for VTDR screening in developing countries. This cross-sectional study used a consecutive technique at Cicendo National Eye Hospital, Indonesia. Patients with diabetes mellitus aged ≥20 years were evaluated for two-field mydriatic fundus photos using a non-portable fundus photo and a smartphone- based fundus photo utilizing the i-Spot fundus adapter. Results were analyzed to determine diagnostic test parameters. Two hundred and nineteen two-field mydriatic fundus photos were obtained from 139 patients. Smartphone-based fundus photography demonstrated a sensitivity of 98.4% (CI 96.6–100%), a specificity of 87.1% (CI 75.3–98.9%), a positive predictive value of 97.9% (CI 95.9–99.9%), a negative predictive value of 90.0% (CI 79.3–100%), and an accuracy of 96.8% (CI 94.5–99.8%). The use of smartphone-captured fundus images proves to be a reliable screening method for VTDR. This tool has the potential to effectively screen the population, helping prevent future visual loss attributed to the disease.
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