神经重症监护
医学
神经影像学
磁共振成像
冲程(发动机)
重症监护医学
放射科
脑出血
医学影像学
急性中风
模态(人机交互)
计算机断层摄影术
病危
检测点注意事项
注意事项
工作流程
重症监护
病人护理
危重病
振作起来
医学物理学
急症护理
医疗保健
评论文章
协议(科学)
梅德林
作者
Lina Zheng,Zhe Kang Law,Ximing Nie,X Z Liu,Wanying Duan,Zhe Zhang,Jingyi Liu,Yufei Wei,Zilin Zhao,Xinyi Leng,Adam de Havenon,Yongjun Wang,Liping Liu
出处
期刊:Stroke
[Lippincott Williams & Wilkins]
日期:2026-07-21
标识
DOI:10.1161/strokeaha.126.056517
摘要
Neurological deterioration is a frequent and clinically significant challenge in patients with acute stroke admitted to neurocritical care units, where timely neuroimaging is essential but access to advanced imaging may be limited by patient instability and logistical constraints. Low-field magnetic resonance imaging (LF-MRI) has recently emerged as a novel approach to extend MRI capability into critical care environments. This topic review synthesizes current evidence on the feasibility, safety, and evolving clinical applications of LF-MRI in neurocritical care stroke. Existing studies demonstrate its utility in diagnostic clarification, longitudinal monitoring of brain injury, and detection of selected secondary complications. Key applications include intracerebral hemorrhage detection and volumetric assessment, quantification of midline shift, ventricular monitoring, evaluation of infarct evolution and cerebral edema, and assessment of unexplained neurological deterioration. Beyond these applications, LF-MRI offers a unique opportunity to support repeated imaging during periods when neurological examination is unreliable or limited. LF-MRI should be viewed as a complementary imaging modality rather than a replacement for computed tomography or conventional high-field MRI. Future advances in sequence development, workflow integration, and rigorously validated artificial intelligence-assisted quantitative tools are expected to further define its role in risk stratification, time-sensitive decision-making, and longitudinal neurocritical care pathways. As access to portable imaging expands, LF-MRI has the potential to reshape neuroimaging strategies in critically ill patients with stroke.
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