摘要
2型糖尿病(type 2 diabetes mellitus,T2DM)是以胰岛素抵抗和β细胞功能障碍为典型特征的慢性代谢性疾病。近年来有关T2DM患者脑部损害的研究逐渐增多,例如基于体素的形态学测量、脑结构网络、动脉自旋标记、定量磁化率成像、神经血管耦合等多模态MRI以及多模态MRI对T2DM伴认知障碍患者在人工智能和肠道菌群微生物方面的监测分析,是预测评估T2DM患者脑部损害的新兴方法。本文就多模态MRI在T2DM患者的脑结构、脑灌注、铁沉积、神经血管耦合、人工智能及肠道菌群微生物中的最新应用进展予以总结,以期为揭示其神经生理机制,并对患者的病情进展进行更加准确的判断,从而为患者制订出最佳的治疗策略,改善患者的预后,并有望为将来的研究提供参考方向。
Type 2 diabetes mellitus(T2DM) is a chronic metabolic disorder characterized by insulin resistance and dysfunction of βcells.In recent years,studies on brain damage in T2DM patients have gradually increased,such as voxel-based morphometry,brain structural networks,arterial spin labeling,quantitative magnetization transfer imaging,neurovascular coupling,etc,in multimodal MRI,as well as the monitoring and analysis of T2DM patients with cognitive impairment in terms of artificial intelligence and gut microbiota in multimodal MR.These are emerging methods for predicting and evaluating brain damage in T2DM patients.This article summarizes the latest application progress of multimodal MRI in brain structure,cerebral perfusion,iron deposition,neurovascular coupling,artificial intelligence,and gut microbiota in T2DM patients,with the aim of revealing the neurophysiological mechanism,making more accurate judgments on the disease progression of patients,formulating the best treatment strategies for patients,improving the prognosis of patients,and providing reference directions for future research.
作者
赵凯迪
曹新山
ZHAO Kaidi;CAO Xinshan(Department of Radiology,Affiliated Hospital of Binzhou Medical University,Binzhou 256600,China)
出处
《磁共振成像》
北大核心
2025年第4期145-150,共6页
Chinese Journal of Magnetic Resonance Imaging
基金
山东省科技发展计划项目(编号:2010GSF10265)。
关键词
2型糖尿病
认知障碍
多模态磁共振成像
磁共振成像
人工智能
肠道菌群微生物
type 2 diabetes
cognitive impairment
multimodal magnetic resonance imaging
magnetic resonance imaging
artificial intelligence
gut microbiota microorganisms
