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Retinal Vascular Imaging for Cardiovascular Risk Prediction

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Digital Teleretinal Screening

Abstract

Cardiovascular diseases (CVD) are major public health problems worldwide. Early identification of people at risk of CVD is important to design and implement preventative strategies. Traditionally, CVD risk has been assessed based on conventional risk factors (e.g. cholesterol, smoking) and risk prediction models (e.g. Framingham); however, traditional risk assessment is not accurate and universally applicable to all populations. The retinal vasculature provides a unique window to assess vascular health non-invasively and directly in vivo. It has shown that various retinal signs, measured from imaging techniques, are associated with future development of CVD and might be useful for CVD risk prediction. In particular, retinopathy signs (e.g. microaneurysms, haemorrhages) and biometry of the retinal vessels (e.g. retinal calibre) have strong associations with CVD, independent of traditional risk factors. Retinal imaging with telemedicine could therefore be a potentially useful clinical tool for the prediction of CVD.

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Authors and Affiliations

  1. Retinal Vascular Imaging Centre, Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, University of Melbourne, 32 Gisborne Street, East Melbourne, 3002, VIC, Australia

    Ryo Kawasaki M.D., MPH, Ph.D. & Tien Yin Wong M.D., MPH, Ph.D.

  2. Faculty of Medicine, Yamagata University, Yamagata, Japan

    Ryo Kawasaki M.D., MPH, Ph.D.

  3. Yong Loo Lin School of Medicine, Singapore Eye Research Institute, National University of Singapore, Singapore National Eye Centre, 11 Third Hospital Avenue, Singapore, 168751, Singapore

    Ryo Kawasaki M.D., MPH, Ph.D.

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  1. Ryo Kawasaki M.D., MPH, Ph.D.
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  2. Tien Yin Wong M.D., MPH, Ph.D.
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Editors and Affiliations

  1. CSIRO, e-Health Research Centre, Centre for Ophthalmology and, University of Western Australia, Brockway Road 65, Floreat, 6009, West Australia, Australia

    Kanagasingam Yogesan

  2. Veterans Affairs, Medical Informatics, United States Department of, Miranda Ave. 3801, Palo Alto, 94304, California, USA

    Leonard Goldschmidt

  3. School of Optometry, University of California, Minor Hall 200, Berkeley, 94720-2020, California, USA

    Jorge Cuadros

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Kawasaki, R., Wong, T.Y. (2012). Retinal Vascular Imaging for Cardiovascular Risk Prediction. In: Yogesan, K., Goldschmidt, L., Cuadros, J. (eds) Digital Teleretinal Screening. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25810-7_8

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