Suppr超能文献

利用海马体积和动脉自旋标记灌注磁共振成像来表征早期阿尔茨海默病及其疾病进展。

Characterizing early Alzheimer's disease and disease progression using hippocampal volume and arterial spin labeling perfusion MRI.

作者信息

Wang Ze

机构信息

Center for Cognition and Brain Disorders, Hangzhou Normal University, Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang, China Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania Treatment Research Center, Philadelphia, PA, USA.

出版信息

J Alzheimers Dis. 2014;42 Suppl 4:S495-502. doi: 10.3233/JAD-141419.

Abstract

Searching for biomarkers sensitive to early Alzheimer's disease (AD) and its progression has been a research priority for two decades. MRI has been increasingly used for this endeavor because of its capability of detecting both structural and functional brain patterns without injecting external contrast agent or radioactive tracers. Recent work has shown sensitivity of hippocampal volume and regional cerebral blood flow for differentiating prodromal AD from normal controls as well as AD. This review provides a summary for the existing literature describing the applications of either or both modalities in early AD studies as well as disease progression assessment. The various findings in the reviewed studies lead to a conclusion of assessing hippocampal volume and arterial spin labeling cerebral blood flow as potential markers for disease detection, and progression monitoring though longitudinal studies are still lacking to fully examine their sensitivity and specificity.

摘要

二十年来,寻找对早期阿尔茨海默病(AD)及其进展敏感的生物标志物一直是研究重点。由于MRI能够在不注射外部造影剂或放射性示踪剂的情况下检测大脑的结构和功能模式,因此越来越多地用于这一研究。最近的研究表明,海马体积和局部脑血流量对于区分前驱AD与正常对照以及AD具有敏感性。本综述总结了现有文献中描述这两种模式中的一种或两种在早期AD研究以及疾病进展评估中的应用。综述研究中的各种发现得出结论,评估海马体积和动脉自旋标记脑血流量作为疾病检测的潜在标志物,尽管仍缺乏纵向研究来充分检验它们的敏感性和特异性,但可用于疾病进展监测。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验