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基于智能手机的设备 (VistaView) 用于检测糖尿病视网膜病变的诊断准确性:一项前性研究
Rida Shahzad1, Arshad Mehmood1, Danish Shabbir1
1Shahzad Eye Hospital, Karachi, Pakistan.
PLOS digital health
|November 8, 2024
概括
基于智能手机的VistaView摄像头显示糖尿病视网膜病变 (DR) 查的诊断准确度中等,与传统的 fundus 摄像头相比. 这使得它成为低收入和中等收入国家DR查的潜在工具.
科学领域:
- 眼科医生 眼科 眼科
- 医疗成像医学成像
- 公共卫生 公共卫生
背景情况:
- 糖尿病视网膜病变 (DR) 是导致全球失明的重要原因之一.
- 传统的DR查依赖于使用桌面摄像机的立体彩色底部摄影.
- 基于智能手机的视网膜摄像头为DR查提供了一个潜在的更容易获得的替代方案.
研究的目的:
- 为了比较基于智能手机的VistaView视网膜摄像头与传统的Triton Topcon fundus摄像头的诊断准确度.
- 用VistaView和Topcon设备的图像来评估DR查的级别间协议.
主要方法:
- 在巴基斯坦进行的前性研究 (2021年12月 - 2022年6月).
- 连续的糖尿病患者用VistaView和Topcon相机进行了脑膜视网膜成像.
- 图像由两名分级人员使用国际糖尿病视网膜病变分类 (ICDR) 标准独立分级;诊断准确性和分级间一致性 (ICC,Cohen's kappa) 被计算.
主要成果:
- 分析包括来自371名患者的1231张可分级图像.
- 对于任何DR,VistaView的灵敏度为69.9%,可引用DR (RDR) 的灵敏度为69.7%,具体性分别为92.9%和94.2%.
- 对VistaView (ICC:DR 78%,Maculopathy 66%) 的跨级客户协议略低于Topcon (ICC:DR 85%,Maculopathy 79%) 的协议.
结论:
- 基于智能手机的VistaView视网膜摄像头对糖尿病视网膜病变查具有中等的诊断准确性.
- VistaView显示出作为一个可行的选工具的潜力,特别是在资源有限的环境中,如低收入和中等收入国家 (LMIC).
- 需要进一步的验证和实施研究来评估其对DR管理的实际影响.
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