摘要
血管性认知障碍是有别于阿尔茨海默病的另一类重要的认知障碍类型,严重影响老年人的生活质量,因此早期识别、诊断、临床干预尤为重要。多种磁共振技术如动脉自旋标记成像、动态对比增强成像、静息态功能磁共振成像、定量磁化率成像、弥散张量成像、扩散峰度成像、弥散频谱成像、神经突方向离散度和密度成像、体素内不相干运动成像、7T及更高场强磁共振、人工智能、机器学习和影像组学等已被研究并应用于血管性认知障碍的风险预测、早期诊断、严重程度评估、疗效反馈等。本文综述了近年来磁共振技术在血管性认知障碍领域的研究进展,以期为临床早期识别和精准干预血管性认知障碍提供影像学依据,并推动相关诊疗策略的优化与发展。
Vascular cognitive impairment(VCI)is another important type of cognitive disorder distinct from Alzheimer's disease,significantly impacting the quality of life of the elderly.Therefore,early identification,diagnosis,and clinical intervention are particularly crucial for the VCI.Various novel magnetic resonance techniques,such as arterial spin labeling imaging,dynamic contrast-enhanced magnetic resonance imaging(MRI),resting-state functional MRI,quantitative susceptibility mapping,diffusion tensor imaging,diffusion kurtosis imaging,diffusion spectrum imaging,neurite orientation dispersion and density imaging,intravoxel incoherent motion imaging,ultra-high field MRI,artificial intelligence,machine learning and radiomics,have been studied and applied for risk prediction,early diagnosis,severity assessment,treatment efficacy feedback,and prognosis evaluation in VCI.This paper aims to systematically review recent researches on the aforementioned magnetic resonance techniques in the field of VCI,with the goal of providing imaging evidence for early clinical identification and precise intervention of VCI,while promoting the optimization and development of related diagnostic and therapeutic strategies.
作者
李小旋
鄂人杰
马浩源
吕佩源
高丽华
Li Xiaoxuan;E Renjie;Ma Haoyuan;Lyu Peiyuan;Gao Lihua(Department of Medical Imaging,the 982th Hospital of Joint Logistics Support Force PLA,Tangshan 063000,China;Department of Neurology,the 980th Hospital of Joint Logistics Support Force PLA,Shijiazhuang 050000,China;Department of Neurology,Hebei Provincial People's Hospital,Shijiazhuang 050000,China)
出处
《中华行为医学与脑科学杂志》
北大核心
2026年第2期146-152,共7页
Chinese Journal of Behavioral Medicine and Brain Science
基金
科技创新2030—"脑科学与类脑研究"重大项目(2021ZD0201807)。
关键词
血管性认知障碍
磁共振技术
人工智能
动脉自旋标记成像
定量磁化率成像
Vascular cognitive impairment
Magnetic resonance technology
Artificial intelligence
Arterial spin labeling imaging
Quantitative susceptibility mapping
