Recent advances in arterial spin labeling perfusion MRI in patients with vascular cognitive impairment
Huang, Dan; Guo, Yunlu; Guan, Xiaoyu; Pan, Lijun; Zhu, Ziyu; Chen, Zeng’ai; Dijkhuizen, Rick M.; Duering, Marco; Yu, Fang; Boltze, Johannes; Li, Peiying
(2023) Journal of Cerebral Blood Flow and Metabolism, volume 43, issue 2, pp. 173 - 184
(Article)
Abstract
Cognitive impairment (CI) is a major health concern in aging populations. It impairs patients’ independent life and may progress to dementia. Vascular cognitive impairment (VCI) encompasses all cerebrovascular pathologies that contribute to cognitive impairment (CI). Moreover, the majority of CI subtypes involve various aspects of vascular dysfunction. Recent research highlights
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the critical role of reduced cerebral blood flow (CBF) in the progress of VCI, and the detection of altered CBF may help to detect or even predict the onset of VCI. Arterial spin labeling (ASL) is a non-invasive, non-ionizing perfusion MRI technique for assessing CBF qualitatively and quantitatively. Recent methodological advances enabling improved signal-to-noise ratio (SNR) and data acquisition have led to an increase in the use of ASL to assess CBF in VCI patients. Combined with other imaging modalities and biomarkers, ASL has great potential for identifying early VCI and guiding prediction and prevention strategies. This review focuses on recent advances in ASL-based perfusion MRI for identifying patients at high risk of VCI.
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Keywords: arterial spin labeling, cerebral blood flow, neuroimaging, neurovascular unit, perfusion MRI, Vascular cognitive impairment, vascular dementia, Humans, Spin Labels, Magnetic Resonance Imaging, Perfusion, Cerebrovascular Circulation/physiology, Aging, Cognitive Dysfunction/diagnostic imaging, Clinical Neurology, Neurology, Cardiology and Cardiovascular Medicine, Review, Journal Article
ISSN: 0271-678X
Publisher: Nature Publishing Group
Note: Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: P.L. is supported by the National Natural Science Foundation of China (NSFC, 91957111, 81971096, 81722017, 82061130224), New Frontier Technology Joint Research sponsored by Shanghai Shenkang Hospital Development Center (SHDC12019102), and Shanghai Municipal Education Commission-Gaofeng Clinical Medical Grant Support (20181805), “Shuguang Program” (20SG17) supported by Shanghai Education Development Foundation and Shanghai Municipal Education Commission and the “Outstanding Academic Leaders Plan” (20XD1422400) supported by Shanghai Municipal Science and Technology Committee of Shanghai. PL and JB are supported by a Newton Advanced Fellowship grant provided by the UK Academy of Medical Sciences (NAF\R11\1010). PL is supported by Innovative research team of high-level local universities in Shanghai (SHSMU-ZLCX20211602). Publisher Copyright: © The Author(s) 2022.
(Peer reviewed)