Recent advance in quantitative imaging evaluation of cerebral small vessel disease
10.3760/cma.j.cn115354-20211216-00819
- VernacularTitle:脑小血管病影像学定量评估研究进展
- Author:
Mi YANG
1
;
Min ZHANG
;
Zhixiang ZHANG
;
Wenwei YUN
Author Information
1. 大连医科大学研究生院，大连 116044
- Keywords:
Cerebral small vessel disease;
Quantitative volumetric assessment;
Machine learning;
Visual rating assessment
- From:
Chinese Journal of Neuromedicine
2022;21(4):414-419
- CountryChina
- Language:Chinese
-
Abstract:
Cerebral small vessel disease (CSVD) is the most common cerebrovascular disease in the elderly, which is closely related to ischemic stroke and cognitive impairment. Early neuroimaging assessment of CSVD is of great clinical significance. With the development of medical imaging technology, it has gradually developed from visual rating assessments to quantitative volumetric assessments; therefore, it can evaluate the severity of CSVD reasonably and efficiently. This review focuses on application of some quantitative neuroimaging assessment techniques in CSVD, in order to provide new evaluation methods and ideas for clinical and basic research of CSVD.
