Investigating Vascular Complexity and Neurogenic Alterations in Sectoral Regions of the Retina in Patients With Cognitive Impairment

DeBuc, Delia Cabrera; Feuer, William J.; Persad, Patrice J.; Somfai, Gábor Márk; Kostic, Maja; Oropesa, Susel; Mendoza‐Santiesteban, Carlos E.

doi:10.3389/fphys.2020.570412

Cited by 8 publications

(9 citation statements)

References 59 publications

(112 reference statements)

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“…camera used in the present study can capture blood vessels up to the 3 rd generation of branching, which also belong to the category of arterioles and venules [2,7].…”

Section: Plos Onementioning

confidence: 99%

“…There is an increasing body of research data showing that microvascular changes in the eye reflect changes in microvascular networks in the rest of the body [1,[3][4][5][6][7]. In most of these studies data from only one eye is used to extrapolate these conclusions.…”

Section: Technical Validationmentioning

confidence: 99%

“…disease, and cognitive impairment [1,7,26]. Very often the changes of retinal microvascular geometry caused by age-related diseases could be considered as a process that normally occurs with aging, but at an accelerated speed.…”

Section: Plos Onementioning

confidence: 99%

“…Very often the changes of retinal microvascular geometry caused by age-related diseases could be considered as a process that normally occurs with aging, but at an accelerated speed. For example the study by DeBuc et al showed that the microvascular complexity in the macular region of the retina is decreased to higher degree in individuals with cognitive impairment compared to healthy individuals of the same age [7].…”

Section: Plos Onementioning

confidence: 99%

“…For example, decreased retinal microvascular complexity has been found in hypertension and diabetes [3][4][5][6]. Certain regional patterns of decreased retinal vascular complexity measured by multifractal and lacunarity analysis have been found to correlate with cognitive impairment in the aging population [7]. In addition, decreased vascular complexity measured by fractal analysis is observed in glaucoma [2].…”

Section: Introductionmentioning

confidence: 99%

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TREND database: Retinal images of healthy young subjects visualized by a portable digital non-mydriatic fundus camera

et al. 2021

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Topological characterization of the Retinal microvascular nEtwork visualized by portable fuNDus camera (TREND) is a database comprising of 72 color digital retinal images collected from the students of the Faculty of Medicine at the University of Montenegro, in the period from February 18th to March 11th 2020. The database also includes binarized images of manually segmented microvascular networks associated with each raw image. The participant demographic characteristics, health status, and social habits information such as age, sex, body mass index, smoking history, alcohol use, as well as previous medical history was collected. As proof of the concept, a smaller set of 10 color digital fundus images from healthy older participants is also included. Comparison of the microvascular parameters of these two sets of images demonstrate that digital fundus images recorded with a hand-held portable camera are able to capture the changes in patterns of microvascular network associated with aging. The raw images from the TREND database provide a standard that defines normal retinal anatomy and microvascular network geometry in young healthy people in Montenegro as it is seen with the digital hand-held portable non-mydriatic MiiS HORUS Scope DEC 200.This knowledge could facilitate the application of this technology at the primary level of health care for large scale telematic screening for complications of chronic diseases, such as hypertensive and diabetic retinopathy. In addition, it could aid in the development of new methods for early detection of age-related changes in the retina, systemic chronic diseases, as well as eye-specific diseases. The associated manually segmented images of the microvascular networks provide the standard that can be used for development of automatic software for image quality assessment, segmentation of microvascular network, and for computer-aided detection of pathological changes in retina. The TREND database is freely available at https://doi.org/10.5281/zenodo.4521043.

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“…camera used in the present study can capture blood vessels up to the 3 rd generation of branching, which also belong to the category of arterioles and venules [2,7].…”

Section: Plos Onementioning

confidence: 99%

Section: Technical Validationmentioning

confidence: 99%

Section: Plos Onementioning

confidence: 99%

Section: Plos Onementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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TREND database: Retinal images of healthy young subjects visualized by a portable digital non-mydriatic fundus camera

et al. 2021

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Fractal Characteristics of Retinal Microvascular Network in Alzheimer's Disease and Colon Cancer in Automatically Segmented Fundus Images from the UK Biobank Database

Rubežić,

Radunović,

Babić

et al. 2024

IFMBE Proceedings

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Retinal microvascular complexity as a putative biomarker of biological age: a pilot study

Popovic,

Ždralević,

Vujosevic

et al. 2023

Biogerontology

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Physiological changes associated with aging increase the risk for the development of age-related diseases. This increase is nonspeci c to the type of age-related disease, although each desease develops through a unique pathophysiologic mechanism. People who age at a faster rate develop age-related diseases earlier in their life. They have an older "biological age" compared to their "chronological age".Early detection of individuals with accelerated aging would allow timely intervention to postpone the onset of age-related diseases. This would not only increase their life expectancy, but would also increase their length of good quality life. The goal of this study was to investigate whether retinal microvascular complexity could be used as a biomarker of biological age. To test this, retinal images of 68 participants ages ranging from 19 to 82 years were collected in an observational cross-sectional study. Twenty of the old participants had age-related diseases such as hypertension, type 2 diabetes, and/or Alzheimer's dementia, while the rest of the participants were healthy. Retinal images were captured by a hand-held, non-mydriatic fundus camera and quanti cation of the microvascular complexity was performed by using Sholl's, box-counting fractal, and lacunarity analysis. In healthy subjects, increasing chronological age was associated with lower retinal microvascular complexity measured by Sholl's analysis (young healthy vs. old healthy mean=716.1 vs. 637.6, p=0.010). Decreased box-counting fractal dimension was present in old patients with age-related diseases (old healthy vs. old with age-related diseases mean=1.358 vs. 1.324, p=0.031). Retinal microvascular complexity could be a promising new biomarker of biological age.

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Investigating Vascular Complexity and Neurogenic Alterations in Sectoral Regions of the Retina in Patients With Cognitive Impairment

Cited by 8 publications

References 59 publications

TREND database: Retinal images of healthy young subjects visualized by a portable digital non-mydriatic fundus camera

TREND database: Retinal images of healthy young subjects visualized by a portable digital non-mydriatic fundus camera

Fractal Characteristics of Retinal Microvascular Network in Alzheimer's Disease and Colon Cancer in Automatically Segmented Fundus Images from the UK Biobank Database

Retinal microvascular complexity as a putative biomarker of biological age: a pilot study

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