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Retinal vascular image analysis as a potential screening tool for cerebrovascular disease: a rationale based on homology between cerebral and retinal microvasculatures
Open accessAbstract
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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Nitric oxide release accounts for the biological activity of endothelium-derived relaxing factor
Palmer, R. M. J., Ferrige, A. G., & Moncada, S. (1987) · Nature · doi:10.1038/327524a0 · Cited by 10,704 · cited 2×
“…as the local accumulation of metabolites, local parenchymal and endothelial substances have major impacts on vessel tone, such as nitric oxide (NO) (Palmer et al. 1987; Kondo et al. 1997; Harris et al. 1998), endothelins (Nyborg et al. 1991; Meyer et al. 1993; Dallinger et al. 2000; Polak et al.…”
BackgroundNotch3 mutations in CADASIL, a hereditary adult-onset condition causing stroke and dementia
Joutel, A., Corpechot, C., Ducros, A., Vahedi, K., Chabriat, H., Mouton, P., Alamowitch, S., Domenga, V., Cécillion, M., Maréchal, E., et al. (1996) · Nature · doi:10.1038/383707a0 · Cited by 2,068
Nonoxidative Glucose Consumption During Focal Physiologic Neural Activity
Fox, P. T., Raichle, M. E., Mintun, M. A., & Dence, C. (1988) · Science · doi:10.1126/science.3260686 · Cited by 1,796
(2001) · The Lancet · doi:10.1016/s0140-6736(00)03589-3 · Cited by 1,338
Cerebral microvascular pathology in aging and Alzheimer's disease
Farkas, E., & Luiten, P. G. M. (2001) · Progress in Neurobiology · doi:10.1016/s0301-0082(00)00068-x · Cited by 1,102
Subcortical ischaemic vascular dementia
Román, G. C., Erkinjuntti, T., Wallin, A., Pantoni, L., & Chui, H. C. (2002) · The Lancet Neurology · doi:10.1016/s1474-4422(02)00190-4 · Cited by 1,067
Cardiovascular risk factors and cognitive decline in middle-aged adults
Knopman, D., Boland, L. L., Mosley, T., Howard, G., Liao, D., Szklo, M., McGovern, P., & Folsom, A. R. (2001) · Neurology · doi:10.1212/wnl.56.1.42 · Cited by 883
Electrical resistance of brain microvascular endothelium
Crone, C., & Olesen, S. P. (1982) · Brain Research · doi:10.1016/0006-8993(82)91227-6 · Cited by 491
Thal, D. R., Ghebremedhin, E., Orantes, M., & Wiestler, O. D. (2003) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/62.12.1287 · Cited by 384
Kuhl, D. E., Metter, E. J., Riege, W. H., & Phelps, M. E. (1982) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1982.15 · Cited by 338
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The p Factor: One General Psychopathology Factor in the Structure of Psychiatric Disorders?
Caspi, A., Houts, R. M., Belsky, D. W., Goldman-Mellor, S. J., Harrington, H., Israel, S., Meier, M. H., Ramrakha, S., Shalev, I., Poulton, R., et al. (2014) · Clinical Psychological Science · doi:10.1177/2167702613497473 · Cited by 2,449
Long-term effect of diabetes and its treatment on cognitive function
(2007) · New England Journal of Medicine · doi:10.1056/nejmoa066397 · Cited by 646
Wong, T., & Mitchell, P. (2007) · The Lancet · doi:10.1016/s0140-6736(07)60198-6 · Cited by 585
Role of COL4A1 in Small-Vessel Disease and Hemorrhagic Stroke
Gould, D. B., Phalan, F. C., van Mil, S. E., Sundberg, J. P., Vahedi, K., Massin, P., Bousser, M. G., Heutink, P., Miner, J. H., Tournier-Lasserve, E., et al. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa053727 · Cited by 581
Witt, N., Wong, T. Y., Hughes, A. D., Chaturvedi, N., Klein, B. E., Evans, R., McNamara, M., Thom, S. A. M., & Klein, R. (2006) · Hypertension · doi:10.1161/01.hyp.0000216717.72048.6c · Cited by 371
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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- 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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