Computational Fluid Dynamics Modeling of Symptomatic Intracranial Atherosclerosis May Predict Risk of Stroke Recurrence

被引：0
|
作者：
Leng, X. [1 ]
Scalzo, F. [2 ]
Ip, H. L. [1 ]
Johnson, M. [2 ]
Fong, A. K. [2 ]
Fan, F. [1 ]
Chen, X. [1 ]
Soo, Y. [1 ]
Miao, Z. [3 ]
Liu, L. [3 ]
Feldmann, E. [4 ]
Leung, T. [1 ]
Liebeskind, D. S. [2 ]
Wong, K. S. [1 ]
机构：
[1] Chinese Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China
[2] UCLA Stroke Ctr, Los Angeles, CA USA
[3] Capital Med Univ, Beijing Tiantan Hosp, Beijing, Peoples R China
[4] Tufts Med Ctr, Boston, MA USA
来源：
CEREBROVASCULAR DISEASES | 2014年 / 37卷
关键词：
D O I：
暂无
中图分类号：
R74 [神经病学与精神病学];
学科分类号：
摘要：
引用
收藏
页码：14 / 14
页数：1
相关论文
共 50 条
  • [1] Computational Fluid Dynamics Modeling of Symptomatic Intracranial Atherosclerosis May Predict Risk of Stroke Recurrence
    Leng, Xinyi
    Scalzo, Fabien
    Ip, Hing Lung
    Johnson, Mark
    Fong, Albert K.
    Fan, Florence S. Y.
    Chen, Xiangyan
    Soo, Yannie O. Y.
    Miao, Zhongrong
    Liu, Liping
    Feldmann, Edward
    Leung, Thomas W. H.
    Liebeskind, David S.
    Wong, Ka Sing
    [J]. PLOS ONE, 2014, 9 (05):
  • [2] Intracranial Atherosclerosis Burden and Stroke Recurrence for Symptomatic Intracranial Artery Stenosis (sICAS)
    Sun, Ping
    Liu, Liping
    Pan, Yuesong
    Wang, Xianwei
    Mi, Donghua
    Pu, Yuehua
    Liu, Xin
    Duan, Wanying
    Yan, Hongyi
    Wang, Chunxue
    Zhao, Xingquan
    Wang, Yilong
    Wang, Yongjun
    [J]. AGING AND DISEASE, 2018, 9 (06): : 1096 - 1102
  • [3] Vessel shrinkage is associated with stroke recurrence in patients with symptomatic intracranial atherosclerosis
    Yuan, Weizhuang
    Li, Mingli
    Xu, Weihai
    [J]. JOURNAL OF THE NEUROLOGICAL SCIENCES, 2023, 455
  • [4] Incremental value of plaque enhancement in predicting stroke recurrence in symptomatic intracranial atherosclerosis
    Song, Xiaowei
    Zhao, Xihai
    Liebeskind, David S.
    Wang, Lixue
    Xu, Wendeng
    Xu, Yilan
    Hou, Duoduo
    Zheng, Zhuozhao
    Wu, Jian
    [J]. NEURORADIOLOGY, 2020, 62 (09) : 1123 - 1131
  • [5] Computational fluid dynamics modeling of intracranial aneurysms
    Chen, Jialiang
    Wang, Shengzhang
    Wei, Yao
    Ding, Guanghong
    [J]. BMEI 2008: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS, VOL 1, 2008, : 566 - 569
  • [6] Incremental value of plaque enhancement in predicting stroke recurrence in symptomatic intracranial atherosclerosis
    Xiaowei Song
    Xihai Zhao
    David S. Liebeskind
    Lixue Wang
    Wendeng Xu
    Yilan Xu
    Duoduo Hou
    Zhuozhao Zheng
    Jian Wu
    [J]. Neuroradiology, 2020, 62 : 1123 - 1131
  • [7] Combination of Magnetic Resonance Angiography and Computational Fluid Dynamics May Predict the Risk of Stroke in Patients with Asymptomatic Carotid Plaques
    Jia, Qian
    Liu, Hongbin
    Li, Yanping
    Wang, Xiaoxi
    Jia, Jinju
    Li, Yuying
    [J]. MEDICAL SCIENCE MONITOR, 2017, 23 : 479 - 488
  • [8] Computational Fluid Dynamics in Intracranial Atherosclerosis-Lessons from Cardiology: A Review of CFD in Intracranial Atherosclerosis
    Pavlin-Premrl, Davor
    Boopathy, Sethu R.
    Nemes, Andras
    Mohammadzadeh, Milad
    Monajemi, Sadaf
    Ko, Brian S.
    Campbell, Bruce C. V.
    [J]. JOURNAL OF STROKE & CEREBROVASCULAR DISEASES, 2021, 30 (10):
  • [9] Evaluating the Risk of Stroke Recurrence in Patients with Intracranial Stenosis, Based on Computational Fluid Dynamic (CFD) Method
    Liu, Xin
    Pu, Yuehua
    Yan, Zhengzheng
    Liu, Jia
    Liu, Liping
    [J]. CEREBROVASCULAR DISEASES, 2017, 44 : 29 - 29
  • [10] Previous stroke is common in patients with symptomatic intracranial atherosclerosis
    Pavlin-Premrl, D.
    Waters
    Thijs, V
    Mitchell, P. J.
    Yassi, N.
    Parsons, M. W.
    Weir, L.
    Pasavento, L.
    Campbell, B.
    [J]. INTERNATIONAL JOURNAL OF STROKE, 2021, 16 (1_SUPPL) : 24 - 24
12345