Purpose Blood vessels of the retina provide an easily-accessible, representative window into the condition of microvasculature. We investigated how retinal vessel structure captured in fundus photographs changes with age, and how this may reflect features related to patient health, including blood pressure. Results We used two approaches. In the first approach, we segmented the retinal vasculature from fundus photographs and then we correlated 25 parameterized aspects ("traits")comprising 15 measures of tortuosity, 7 fractal ranges of self-similarity, and 3 measures of junction numberswith participant age and blood pressure. In the second approach, we examined entire fundus photographs with a set of algorithmic CHARM features. We studied 2,280 Sardinians, ages 20-28, and an U.S. based population from the AREDS study in 1,178 participants, ages 59-84. Three traits (relating to tortuosity, vessel bifurcation number, and vessel endpoint number) showed significant changes with age in both cohorts, and one additional trait (relating to fractal number) showed a correlation in the Sardinian cohort only. When using second approach, we found significant correlations of particular CHARM features with age and blood pressure, which were stronger than those detected when using parameterized traits, reflecting a greater signal from the entire photographs than was captured in the segmented microvasculature. Conclusions These findings demonstrate that automated quantitative image analysis of fundus images can reveal general measures of patient health status. Copyright: CC BY 4.0

Age-related changes of the retinal microvasculature

Fiorillo Edoardo;Delitala Alessandro;Marongiu Michele;
2019

Abstract

Purpose Blood vessels of the retina provide an easily-accessible, representative window into the condition of microvasculature. We investigated how retinal vessel structure captured in fundus photographs changes with age, and how this may reflect features related to patient health, including blood pressure. Results We used two approaches. In the first approach, we segmented the retinal vasculature from fundus photographs and then we correlated 25 parameterized aspects ("traits")comprising 15 measures of tortuosity, 7 fractal ranges of self-similarity, and 3 measures of junction numberswith participant age and blood pressure. In the second approach, we examined entire fundus photographs with a set of algorithmic CHARM features. We studied 2,280 Sardinians, ages 20-28, and an U.S. based population from the AREDS study in 1,178 participants, ages 59-84. Three traits (relating to tortuosity, vessel bifurcation number, and vessel endpoint number) showed significant changes with age in both cohorts, and one additional trait (relating to fractal number) showed a correlation in the Sardinian cohort only. When using second approach, we found significant correlations of particular CHARM features with age and blood pressure, which were stronger than those detected when using parameterized traits, reflecting a greater signal from the entire photographs than was captured in the segmented microvasculature. Conclusions These findings demonstrate that automated quantitative image analysis of fundus images can reveal general measures of patient health status. Copyright: CC BY 4.0
2019
Istituto di Ricerca Genetica e Biomedica - IRGB
Medicine
Cell Biology
Genetics
Physiology
Biotechnology
Developmental Biology
Cancer
microvasculature Purpose Blood vessels
algorithmic CHARM features
vessel bifurcation number
fundus photographs changes
patient health status
areds
APPROACH
7 fractal ranges
trait
fundus photographs
U.S
Blood pressure
vessel endpoint number
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/425669
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