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中华脑血管病杂志(电子版)

中华脑血管病杂志(电子版) ›› 2021, Vol. 15 ›› Issue (04) : 212 -217. doi: 10.11817/j.issn.1673-9248.2021.04.003

专家论坛

脑小血管病的早期识别及磁共振成像诊断新进展
许衡衡1, 徐运1,†()   
  1. 1. 210008　南京大学医学院附属鼓楼医院神经内科
  • 收稿日期:2020-12-13 出版日期:2021-08-09
  • 通信作者: 徐运
  • 基金资助:
    国家重点研发计划(2016YFCl300504); 国家自然科学基金(81630028); 江苏省科技厅医学重点项目(BE2016610); 江苏省医学重点学科(ZDXKA2016020)

Advance in early recognition and magnetic resonance imaging diagnosis of cerebral small vessel disease

Hengheng Xu1, Yun Xu1,†()   

  1. 1. Department of Neurology, Affiliated Drum Tower Hospital of Nanjing University Medical School, Nanjing 210008, China
  • Received:2020-12-13 Published:2021-08-09
  • Corresponding author: Yun Xu
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许衡衡, 徐运. 脑小血管病的早期识别及磁共振成像诊断新进展[J]. 中华脑血管病杂志(电子版), 2021, 15(04): 212-217.

Hengheng Xu, Yun Xu. Advance in early recognition and magnetic resonance imaging diagnosis of cerebral small vessel disease[J]. Chinese Journal of Cerebrovascular Diseases(Electronic Edition), 2021, 15(04): 212-217.

脑小血管病（CSVD）是指各种病因导致的累及脑小动脉、穿支动脉和小静脉的一组病理学综合征。对脑小血管病患者的神经病理学研究显示，炎症和内皮细胞功能障碍在其中发挥着关键作用，对相关领域的进一步研究有望成为深入了解CSVD的重要手段。近年随着MRI扫描场强的不断提高以及动脉自旋标记灌注成像、弥散张量成像等新序列在临床的运用，临床医师能够评估更小的脑结构和病变，使得在症状出现之前就能对CSVD的病理特征进行早期识别。

关键词: 脑小血管疾病, 磁共振成像, 识别，早期

Cerebral small vessel disease (CSVD) refers to a series of pathological syndromes resulted from the pathophysiological changes in small arteries, perforating arteries and venules. Neuropathological studies of patients with CSVD have shown that inflammation and endothelial dysfunction play a key role in it, and further research in related fields would become an important means of understanding CSVD. In recent years, with the continuous improvement of MRI scanning intensity and the clinical development of new sequences, such as arterial spin-labeled perfusion imaging and diffusion tensor imaging, clinicians are able to evaluate smaller brain structures and lesions than ever before, so that the pathological features of CSVD can be identified at an very early stage before symptoms appear.

Key words: Cerebral small vessel disease, Magnetic resonance imaging, Identified, early
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