Arterial Spin Labeling MRI in Alzheimer's Disease: A Systematic Review of Cerebral Perfusion Biomarkers

阿尔茨海默病动脉自旋标记磁共振成像:脑灌注生物标志物的系统评价

阅读:2

Abstract

BACKGROUND: Alzheimer's disease (AD) is a leading cause of dementia. Arterial spin labeling (ASL) MRI, particularly at 3 Tesla (3T), offers a noninvasive method to assess cerebral blood flow alterations, which are believed to be early indicators of AD. PURPOSE: The purpose of this study is to evaluate the utility of 3T ASL MRI in identifying cerebral perfusion biomarkers for the diagnosis and management of AD, assess its prognostic value, and compare it to other imaging modalities, such as PET. DATA SOURCES: A systematic literature search was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines across PubMed, Cochrane Library, and Scopus using keywords related to "ASL," "3T MRI," and "AD." STUDY SELECTION: Studies were included if they used 3T ASL MRI to investigate CBF in AD. Reviews, preclinical studies, case reports, studies lacking 3T ASL MRI, or those focusing on other dementias or mild cognitive impairment without an AD comparison were excluded. Data extracted included study design, sample characteristics, imaging techniques, parameters measured, and outcomes. A qualitative synthesis of findings highlights CBF patterns and biomarkers associated with AD. RESULTS: Findings demonstrated hypoperfusion in the hippocampus, precuneus, and posterior cingulate cortex, distinguishing AD from normal aging and other forms of dementia. CBF patterns are often correlated with the severity and progression of cognitive impairment. ASL MRI at 3T demonstrated diagnostic accuracy comparable to that of PET while being noninvasive and radiation free. CONCLUSION: ASL MRI at 3T could be a valuable tool for the early diagnosis and monitoring of AD. Its noninvasive nature makes it ideal for repeated measures and longitudinal studies. Further research should focus on standardizing protocols and validating their use in larger populations.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。