一个多式视网膜衰老时钟用于通过OCT和 fundus成像进行生物年龄预测和系统健康评估
Chase A Ludwig1,2, Anish Salvi3, Yeabsira Mesfin4
1School of Medicine, Stanford University, Palo Alto, USA. caludwig@stanford.edu.
Scientific reports
|January 28, 2026
概括
新时代时钟使用眼睛扫描来预测生物年龄. 这些模型显示出与死亡风险的密切联系,提供了超越传统评估的系统健康洞察力.
科学领域:
- 眼科医生 眼科 眼科
- 生物医学工程 生物医学工程
- 老年学是指老年学的学科.
背景情况:
- 从医学成像中预测生物年龄是一个新兴的领域.
- 眼科成像 (眼底摄影,光学连贯性断层扫描) 为系统健康提供了一个非侵入性的窗口.
- 查尔森并发症指数 (CCI) 是一种已验证的死亡风险指标.
研究的目的:
- 开发和评估使用眼科成像的多式时钟.
- 通过将其与CCI相关联,评估预测的生物年龄的临床相关性.
- 调查训练数据 (正常眼睛与患病眼睛) 对模型性能和系统关联的影响.
主要方法:
- 使用 fundus 摄影和光学连贯性断层扫描数据开发年龄预测模型.
- 微调模型从成像数据集预测生物年龄.
- 使用线性回归来从时间和生物年龄特征推断CCI.
- 使用梯度加权回归激活映射来可视化模型焦点区域.
主要成果:
- 当模型在正常眼睛和患病眼睛上进行训练时,预测性能得到改善.
- 预测的生物年龄与时间年龄相比,与CCI的相关性明显更强.
- 开发的算法与CCI的关联支持其作为死亡风险衡量的潜力.
结论:
- 来自眼科成像的多模式年龄钟可以有效地预测生物年龄.
- 预测的生物年龄与查尔森并发症指数有着强烈的关联,表明临床相关性.
- 这种方法可能为系统性健康负担和死亡风险评估提供新的见解.
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