摘要
阿尔茨海默病(AD)是一种常见的以进行性认知功能障碍为特点的神经变性疾病。其发病率高且预后差,给社会和家庭带来沉重负担。因此,对于有风险但尚未显示痴呆症状的受试者进行早期识别、早期干预具有关键意义,而磁共振成像(MRI)将在这方面发挥至关重要的作用。近年来,已经提出了应用不同类型MRI特征进行AD转换预测的一些机器学习方法。多模态MRI在AD诊断中占有越来越重要的角色。现就AD临床多模态影像的研究进展进行综述。
Alzheimer disease(AD)is a common neurodegenerative disease characterized by progressive cognitive impairment.Its high incidence and poor prognosis place a heavy burden on society and families.Therefore,early identification and early intervention of subjects who are at risk but have not shown symptoms is of critical significance,and magnetic resonance imaging(MRI)will play a vital role in this regard.In recent years,some machine learning(ML)methods have been proposed to apply different types of MRI features for AD conversion prediction.Multimodal MRI plays an increasingly important role in the diagnosis of AD.The research progress of AD clinical multimodal imaging is reviewed.
作者
张乃源
李绪领
张文杰
谭亚芳
关思奇
Zhang Naiyuan;Li Xuling;Zhang Wenjie;Tan Yafang;Guan Siqi(Department of Neurology,the Fourth Affiliated Hospital of Harbin Medical University,Harbin 150001,China)
出处
《神经疾病与精神卫生》
2019年第10期980-984,共5页
Journal of Neuroscience and Mental Health
基金
黑龙江省自然科学基金项目(LC2018036)。
关键词
阿尔茨海默病
多模态核磁共振
磁共振波谱成像
磁共振弥散张量成像
静息态功能磁共振成像
综述
Alzheimer disease
Multimodal nuclear magnetic resonance
Magnetic resonance spectroscopy
Magnetic resonance diffusion tensor imaging
Resting state functional magnetic resonance imaging
Review