Literature DB >> 15817102

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

Niall Patton1, Tariq Aslam, Thomas Macgillivray, Alison Pattie, Ian J Deary, Baljean Dhillon.   

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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Year:  2005        PMID: 15817102      PMCID: PMC1571489          DOI: 10.1111/j.1469-7580.2005.00395.x

Source DB:  PubMed          Journal:  J Anat        ISSN: 0021-8782            Impact factor:   2.610


  358 in total

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  241 in total

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Review 6.  Diabetes and brain damage: more (or less) than meets the eye?

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Review 8.  Diabetes mellitus and cognitive impairments.

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9.  Long-term effect of diabetes and its treatment on cognitive function.

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10.  Association of Preclinical Alzheimer Disease With Optical Coherence Tomographic Angiography Findings.

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