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Retinal vessel changes in cerebrovascular disease.

Oana M Dumitrascu1, Maya Koronyo-Hamaoui2

  • 1Department of Neurology.

Current Opinion in Neurology
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Retinal vascular abnormalities can predict cerebrovascular disorders (CVD) and cognitive decline. Advanced imaging and AI analysis enhance early detection and monitoring of vascular conditions using the retina as a window.

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Area of Science:

  • Ophthalmology
  • Neurology
  • Vascular Biology

Background:

  • The retina serves as a crucial indicator of cerebrovascular and systemic vascular health.
  • Advances in retinal imaging and machine learning have expanded the use of noninvasive retinal vessel biomarkers for risk assessment.

Purpose of the Study:

  • To review current evidence linking retinal vascular abnormalities to stroke and vascular cognitive impairment.
  • To highlight advancements in retinal vascular imaging and quantitative analysis software.

Main Methods:

  • Review of longitudinal studies and recent research on retinal vascular imaging.
  • Analysis of artificial intelligence (AI) and deep learning algorithms for retinal vasculature assessment.
  • Exploration of innovative biomedical engineering technologies in retinal imaging.

Main Results:

  • Retinal vascular changes are predictive of cerebrovascular disorders (CVD).
  • Retinal imaging tools are being explored for early detection of cognitive decline.
  • AI-powered retinal analysis improves screening, risk stratification, and monitoring of CVD.

Conclusions:

  • Quantitative retinal vessel analysis is increasingly supported for predicting CVD, including stroke and neurodegeneration.
  • Modern retinal imaging and AI offer precise tools for clinical and research applications in vascular health.
  • The retina provides a noninvasive window for understanding and managing cerebrovascular and systemic vascular conditions.