Magnetic resonance imaging manifestations of cerebral small vessel disease: automated quantification and clinical application.
10.1097/CM9.0000000000001299
- Author:
Lei ZHAO
1
;
Allan LEE
1
;
Yu-Hua FAN
2
,
3
;
Vincent C T MOK
4
;
Lin SHI
5
Author Information
1. BrainNow Research Institute, Shenzhen, Guangdong 518000, China.
2. Department of Neurology, The First Affiliated Hospital, Sun Yat-sen University
3. Guangdong Provincial Key Laboratory for Diagnosis and Treatment of Major Neurological Diseases, National Key Clinical Department and Key Discipline of Neurology, Guangzhou, Guangdong 510080, China.
4. Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong 999077, China.
5. Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong 999077, China.
- Publication Type:Review
- MeSH:
Cerebral Small Vessel Diseases/diagnostic imaging*;
Humans;
Magnetic Resonance Imaging;
Neuroimaging;
Prognosis
- From:
Chinese Medical Journal
2020;134(2):151-160
- CountryChina
- Language:English
-
Abstract:
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.
