1.Pandemic of the aging society - sporadic cerebral small vessel disease.
Alexander Yuk Lun LAU ; Bonaventure Yiu Ming IP ; Ho KO ; Bonnie Yin Ka LAM ; Lin SHI ; Karen Ka Yan MA ; Lisa Wing Chi AU ; Yannie Oi Yan SOO ; Thomas Wai Hong LEUNG ; Adrian WONG ; Vincent Chung Tong MOK
Chinese Medical Journal 2021;134(2):143-150
Age-related sporadic cerebral small vessel disease (CSVD) has gained increasing attention over the past decades because of its increasing prevalence associated with an aging population. The widespread application of and advances in brain magnetic resonance imaging in recent decades have significantly increased researchers' understanding in the in vivo evolution of CSVD, its impact upon the brain, its risk factors, and the mechanisms that explain the various clinical manifestation associated with sporadic CSVD. In this review, we aimed to provide an update on the pathophysiology, risk factors, biomarkers, and the determinants and spectrum of the clinical manifestation of sporadic CSVD.
Aged
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Aging
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Brain/diagnostic imaging*
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Cerebral Small Vessel Diseases/epidemiology*
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Humans
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Magnetic Resonance Imaging
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Pandemics
2.Magnetic resonance imaging manifestations of cerebral small vessel disease: automated quantification and clinical application.
Lei ZHAO ; Allan LEE ; Yu-Hua FAN ; Vincent C T MOK ; Lin SHI
Chinese Medical Journal 2020;134(2):151-160
The common cerebral small vessel disease (CSVD) neuroimaging features visible on conventional structural magnetic resonance imaging include recent small subcortical infarcts, lacunes, white matter hyperintensities, perivascular spaces, microbleeds, and brain atrophy. The CSVD neuroimaging features have shared and distinct clinical consequences, and the automatic quantification methods for these features are increasingly used in research and clinical settings. This review article explores the recent progress in CSVD neuroimaging feature quantification and provides an overview of the clinical consequences of these CSVD features as well as the possibilities of using these features as endpoints in clinical trials. The added value of CSVD neuroimaging quantification is also discussed for researches focused on the mechanism of CSVD and the prognosis in subjects with CSVD.
Cerebral Small Vessel Diseases/diagnostic imaging*
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Humans
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Magnetic Resonance Imaging
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Neuroimaging
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Prognosis