Research advances on quantification of perivascular spaces and its clinical relevance
10.3760/cma.j.cn113694-20250427-00246
- VernacularTitle:血管周围间隙定量评估及其临床相关性研究进展
- Author:
Yaping ZHOU
1
;
Jun NI
1
Author Information
1. 中国医学科学院北京协和医院神经科 疑难重症及罕见病国家重点实验室，北京 100730
- Publication Type:Journal Article
- Keywords:
Cerebral small vessel disease;
Perivascular spaces;
Quantification;
Evaluation
- From:
Chinese Journal of Neurology
2025;58(9):986-994
- CountryChina
- Language:Chinese
-
Abstract:
Perivascular spaces (PVS) are fluid-filled spaces surrounding the cerebral vessels,which are one of the important imaging markers of cerebral small vessel disease (CSVD). The severity of magnetic resonance imaging-visible PVS is associated with the disease burden of multiple neurological diseases. Visual Rating Scale is widely used to evaluate PVS severity. With the development of imaging and computer technology, computational methods based on threshold segmentation, morphological filtering and machine learning have been developed allowing automatically quantifying the number, morphology, and spatial distribution of PVS. The quantitative methods of PVS and the clinical applications were reviewed in this article.
