基线非 perf 流和深毛细管缺血缺血预测了糖尿病视网膜病变的两年视网膜非 perf 流进展
Anna M Busza1, Shinji Kakihara1, Kallista Zhuang1
1Department of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, United States.
Investigative ophthalmology & visual science
|January 30, 2026
概括
糖尿病视网膜病变 (DR) 的进展是由超宽场光素血管学 (UWF-FA) 的基线视网膜非 perfusion 预测的. 斑点光学连贯断层扫描血管学 (OCTA) 度量为DR风险分层提供了额外的预后价值.
科学领域:
- 眼科医生 眼科 眼科
- 医疗成像医学成像
- 糖尿病视网膜病变研究研究
背景情况:
- 糖尿病视网膜病变 (DR) 是导致视力丧失的主要原因.
- 在DR中预测视网膜非 perfusion 的进展对于及时干预至关重要.
- 超广场光体血管学 (UWF-FA) 和斑点光学连贯性断层扫描血管学 (OCTA) 是DR评估中的关键成像方式.
研究的目的:
- 确定基线因素,包括UWF-FA非 perfusion和黄斑OCTA指标,这些指标可以预测DR患者视网膜非 perfusion在2年的进展.
- 评估这些因素在预期队列中的预测性表现.
主要方法:
- 一项前性观察性研究包括73名DR患者 (110只眼睛).
- 使用来自UWF-FA的缺血指数量化视网膜非 perfusion.
- 分析了斑点OCTA指标,包括深毛细管 (DCP) 几何 perfusion 缺陷和血管密度.
- 线性混合效应模型和接收器运行特征 (ROC) 分析被用于评估2年内非 perfusion 进展的预测因素.
主要成果:
- 平均2年缺血指数进展率为0.45±0.90%,在中度至严重的非增殖性DR中进展率更高.
- 较高的基线UWF-FA缺血指数,较高的DCP几何 perfusion deficit和较低的DCP血管密度独立预测了非 perfusion 进展.
- 预测二进制非 perfusion 进展的曲线下的面积 (AUC) 为基线缺血指数的0.84,DCP几何 perfusion 缺陷的0.77,DCP血管密度的0.70.
结论:
- 基线UWF-FA非输液是DR中视网膜非输液进展的最强预测因素.
- 斑点DCPOCTA指标提供独立的,非侵入性的预后信息.
- 斑点DCPOCTA参数可以作为辅助生物标志物来完善DR风险分层,特别是当UWF-FA无法使用时.
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