摘要
脑小血管病(CSVD)是老年人群中最常见的脑血管疾病,其与缺血性脑卒中及认知功能障碍密切相关。CSVD早期的影像学评估具有重要的临床意义。目前,随着医学影像学技术的发展,CSVD早期的影像学评估逐渐从视觉分级评估发展到体积定量评估,从而更合理高效地评估CSVD的严重程度。本文现重点阐述一些影像学定量评估方法在CSVD中的应用情况,以期为CSVD的临床及基础研究提供新的评估方法和思路。
Cerebral small vessel disease(CSVD)is the most common cerebrovascular disease in the elderly,which is closely related to ischemic stroke and cognitive impairment.Early neuroimaging assessment of CSVD is of great clinical significance.With the development of medical imaging technology,it has gradually developed from visual rating assessments to quantitative volumetric assessments;therefore,it can evaluate the severity of CSVD reasonably and efficiently.This review focuses on application of some quantitative neuroimaging assessment techniques in CSVD,in order to provide new evaluation methods and ideas for clinical and basic research of CSVD.
作者
杨密
张敏
张志翔
恽文伟
Yang Mi;Zhang Min;Zhang Zhixiang;Yun Wenwei(Graduate School of Dalian Medical University,Dalian 116044,China;Department of Neurology,Changzhou Second People's Hospital Affiliated to Nanjing Medical University,Changzhou 213003,China)
出处
《中华神经医学杂志》
CAS
CSCD
北大核心
2022年第4期414-419,共6页
Chinese Journal of Neuromedicine
基金
江苏省卫生健康委面上项目(H2019051)
常州市卫生健康青苗人才培养工程(CZQM2020073)。
关键词
脑小血管病
体积定量评估
机器学习
视觉分级评估
Cerebral small vessel disease
Quantitative volumetric assessment
Machine learning
Visual rating assessment