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Cited by 807

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Retinal vascular image analysis as a potential screening tool for cerebrovascular disease: a rationale based on homology between cerebral and retinal microvasculatures

Open access
Patton, Niall, Aslam, Tariq, MacGillivray, Thomas, Pattie, Alison, Deary, Ian J., Dhillon, Baljean·2005·Journal of Anatomy

Abstract

The retinal and cerebral microvasculatures share many morphological and physiological properties. Assessment of the cerebral microvasculature requires highly specialized and expensive techniques. The potential for using non‐invasive clinical assessment of the retinal microvasculature as a marker of the state of the cerebrovasculature offers clear advantages, owing to the ease with which the retinal vasculature can be directly visualized in vivo and photographed due to its essential two‐dimensional nature. The use of retinal digital image analysis is becoming increasingly common, and offers new techniques to analyse different aspects of retinal vascular topography, including retinal vascular widths, geometrical attributes at vessel bifurcations and vessel tracking. Being predominantly automated and objective, these techniques offer an exciting opportunity to study the potential to identify retinal microvascular abnormalities as markers of cerebrovascular pathology. In this review, we describe the anatomical and physiological homology between the retinal and cerebral microvasculatures. We review the evidence that retinal microvascular changes occur in cerebrovascular disease and review current retinal image analysis tools that may allow us to use different aspects of the retinal microvasculature as potential markers for the state of the cerebral microvasculature.

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Crossref · 10.1111/j.1469-7580.2005.00395.x

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Metadata

Authors
Patton, N., Aslam, T., MacGillivray, T., Pattie, A., Deary, I. J., & Dhillon, B.
Venue
Journal of Anatomy
Publisher
Wiley
Published
2005-03-30
Volume
206
Issue
4
Pages
319-348
ISSN
  • 0021-8782 (ISSN-L)
  • 1469-7580
OpenAlex
W1995904975
Cited by
807
References
15
FWCI
10.00
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Retinal vascular image analysis as a potential screening tool for cerebrovascular disease: a rationale based on homology between cerebral and retinal microvasculatures. https://app.cochat.ai/papers/10.1111/j.1469-7580.2005.00395.x
The paper
Patton, N., Aslam, T., MacGillivray, T., Pattie, A., Deary, I. J., & Dhillon, B. (2005). Retinal vascular image analysis as a potential screening tool for cerebrovascular disease: a rationale based on homology between cerebral and retinal microvasculatures. Journal of Anatomy. https://doi.org/10.1111/j.1469-7580.2005.00395.x

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.