解剖学报

解剖学报 ›› 2023, Vol. 54 ›› Issue (4): 465-472.doi: 10.16098/j.issn.0529-1356.2023.04.013

• 解剖学 • 上一篇    下一篇

小脑浅静脉磁敏感加权成像

姚笑笑1,2, 3 刘晓丽2 李如画2 李昌盛2 任传根4 陈成春2*   

  1. 1.杭州师范大学基础医学院，杭州 310000; 2.温州医科大学解剖学教研室，浙江 温州 325035;  3.浙江绿城医院司法鉴定所，杭州 310000; 4.温州医科大学附属第一医院超声影像科，浙江 温州 325000
  • 收稿日期:2022-03-23 修回日期:2022-07-19 出版日期:2023-08-06 发布日期:2023-08-06
  • 通讯作者: 陈成春 E-mail:liusw@sdu.edu.cn
  • 基金资助:
    基于 SWI 显影深髓静脉形态改变对 TIA 患者发生缺血性脑卒中的预测价值研究

Susceptibility weighted imaging of superficial cerebellar veins

YAO  Xiao-xiao1,2, 3 LIU  Xiao-li2  LI  Ru-hua2  LI  Chang-sheng2  REN  Chuan-gen4 CHEN  Cheng-chun2*    

  1. 1.School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou 310000,China;  2.Department of Human Anatomy of Wenzhou Medical University, Zhejiang Wenzhou 325035,China;  3.Judicial Laboratory of Zhejiang Greentown Hospital, Hangzhou 310000,China;  4.Department of Ultrasound Imaging, the First Affiliated Hospital of Wenzhou Medical University, Zhejiang Wenzhou 325000,China
  • Received:2022-03-23 Revised:2022-07-19 Online:2023-08-06 Published:2023-08-06
  • Contact: CHEN Cheng-chun E-mail:liusw@sdu.edu.cn

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摘要：

目的  利用磁敏感加权成像（SWI）显影小脑浅静脉及其属支，构建小脑浅静脉网络。   方法  按照纳入标准，筛选80名（160侧）健康志愿者（男40名，女40名）行3.0 T 核磁扫描，获取常规序列横断层、矢状断层图像及SWI图像数据。在Extended MR workspace 2. 6. 3. 4图像工作站上进行后处理，重建最小密度投影（mIP）图像。采用SPSS 21.0统计学软件对各数据进行分析处理。   结果  SWI和mIP图像均可显影小脑结构及其静脉。小脑静脉分为深、浅两部分。小脑浅静脉分为蚓部和小脑半球两组。小脑蚓部浅静脉由上蚓静脉［内径:（1.21±0.24）mm， 出现率：92.16%］、山顶静脉［内径:（0.66±0.05）mm，出现率：95%］、山腹静脉［内径：（0.76±0.03）mm，出现率：100%］和下蚓静脉［内径:（1.40±0.27）mm，出现率：99.02%］构成。小脑半球浅静脉由小脑上前静脉［内径:（1.09±0.12）mm，出现率：100%］、小脑上后静脉［内径:（0.88±0.13）mm，出现率：70%］、小脑下前静脉［内径:（1.34±0.15）mm，出现率：100%］和小脑下后静脉［内径:（1.11±0.09）mm，出现率：92.5%］构成。深静脉分为小脑中脑裂组、小脑脑桥裂组和小脑延髓裂组。 结论 SWI能显示小脑微结构和微静脉，可构建小脑浅静脉网络。 

关键词: 小脑静脉, 小脑裂, 小脑, 磁敏感加权成像, 人 

Abstract:

Object Visualizing the superficial cerebellar vein and its tributaries on suscepxibility weighted imaging(SWI), and to construct superficial cerebellar vein network.    Methods  According to the inclusion criteria, 80 healthy volunteers (40 males and 40 females) were selected for 3.0T MRI scans to obtain conventional sequence cross-section, sagittal tomographic images, and SWI image data. Post-processing was performed on the Extended MR workspace 2.6.3.4 image workstation to reconstruct minimum intensity projection(mIP) images. SPSS 21.0 statistical software was used to analyze and process each data, and the diameter measurement result  were expressed as mean ± standard deviation.    Results Both SWI and mIP could image the structures of the cerebellum and its veins. The cerebellar veins were divided into deep and superficial parts. The superficial cerebellar veins were divided into two groups: the vermis and the cerebellar hemispheres. The superficial vein of the cerebellar vermis consisted of superior vermis vein［diameter: (1.21±0.24)mm, occurrence rate: 92.16%］, summit vein［diameter:(0.66±0.05)mm, occurrence rate: 95%］, mountain vein［diameter: (0.76±0.03)mm, occurrence rate: 100%］, inferior vermis vein［diameter: (1.40±0.27)mm, occurrence rate: 99.02%］. The superficial cerebellar hemisphere vein consists of anterior superior cerebellar vein ［diameter: (1.09±0.12)mm, occurrence rate: 100%］, posterior superior cerebellar vein ［diameter: (0.88±0.13)mm, occurrence rate: 70%］, anterior inferior cerebellar vein［diameter: (1.34±0.15)mm, occurrence rate: 100%］, posterior inferior cerebellar vein［diameter: (1.11±0.09)mm, occurrence rate: 92.5%］. The deep veins were divided into cerebellomesencephalic fissure group, cerebellopontine fissure group, and cerebellomedullary fissure group.   Conclusion SWI can display the microstructure and venules of the cerebellum, and can construct a network of superficial cerebellar veins.

Key words: Cerebellar vein, Cerebellar fissure, Cerebellum, Susceptibility weighted imaging, Human

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