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深度学习支持的血管测量显示了高近视进展中的阶段性损伤模式.

Hai-Long He¹, Yi-Xin Liu¹, Hanruo Liu¹

¹Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China.

Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)

|July 25, 2024

概括

高近视的进展涉及视网膜血管变化的两个不同的阶段. 早期阶段显示引病变,而后期阶段显示缩性病变,揭示了近视发展的见解.

关键词:

人工智能的人工智能是人工智能.性别差异的性别差异眼光障碍症是什么眼光障碍症是什么高近视是指高近视的情况.视网膜血管形态视网膜血管形态

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科学领域:

眼科医生眼科眼科
医疗成像医学成像
血管生物学血管生物学

背景情况:

高近视 (HM) 是视力障碍的一个重要原因.
了解HM进展的机制对于开发有效的干预措施至关重要.
视网膜血管变化与HM病原发生有关.

研究的目的:

为了研究视网膜血管形态变化的不同阶段在高近视.
阐明高近视进展的潜在机制.
为了将视网膜血管系的参数与周围细胞缩 (PPA) 相对应.

主要方法:

追溯分析了来自5775名高近视患者的14066张 fundus 照片.
开发一个智能图像处理模型来量化视网膜血管形态 (口径,AVR,扭曲度,AVA,DVA,密度,碎形维度).
使用回归模型分析血管参数,光盘,PPA宽度和阶段形态变化之间的相关性分析.

主要成果:

在视网膜血管形态上观察到显著的基于性别的变化.
增加的PPA宽度与减少的AVA,DVA,血管口径,扭曲度,密度和碎形尺寸相关.
视网膜血管变化发生在两个阶段:最初的扭曲度/AVA迅速下降,随后变化较慢,以及密度/碎形尺寸的相反趋势.

结论:

视网膜血管形态变化的两个截然不同的阶段是高近视进展的特征.
初始阶段以引病变为主,而后期则以缩病变为主.
这些发现从视网膜血管系统的角度提供了对高近视发展的新见解.