Deep learning assisted retinal microvasculature assessment and cerebral small vessel disease in Fabry disease
- Published on 04/11/2025
- Reading time: 5 min.
Li Yingsi 1, Zhou Xuecong 1, Li Junmeng 1, Zhao Yawen 2, Yuan Yujing 2, Yang Bo 3, Xu Jingjing 4, Wei Qijie 4, Yan Xiaoming 1, Zhang Wei 2, Wu Yuan 1
1 https://ror.org/02v51f717 Department of Ophthalmology, Peking University First Hospital Peking University 100034 Beijing China
2 https://ror.org/02v51f717 Department of Neurology, Peking University First Hospital Peking University 100034 Beijing China
3 https://ror.org/022k4wk35 Internet Institute Beijing Normal University 100875 Beijing China
4 Visionary Intelligence Ltd. 100080 Beijing China
Abstract
Purpose The aim of this study was to assess retinal microvascular parameters (RMPs) in Fabry disease (FD) using deep learning, and analyze the correlation with brain lesions related to cerebral small vessel disease (CSVD).
Methods In this retrospective case control study, fundus images from 27 FD patients and 27 age- and sex-matched healthy subjects were collected. RMPs, encompassing diameter, density, symmetry, bifurcation, and tortuosity, were quantified....
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