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Open Access

Perfusion and plaque evaluation to predict recurrent stroke in symptomatic middle cerebral artery stenosis

Jinhao Lyu, Ning Ma, Chenglin Tian, Feng Xu, Hang Shao, Xin Zhou, Lin Ma, Xin Lou
DOI: 10.1136/svn-2018-000228 Published 23 September 2019
Jinhao Lyu
1 Department of Radiology, Chinese PLA General Hospital, Beijing, China
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Ning Ma
2 Department of Interventional Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases, Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
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Chenglin Tian
3 Department of Neurology, Chinese PLA General Hospital, Beijing, China
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Feng Xu
4 Automation Department, Tsinghua University, Beijing, China
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Hang Shao
4 Automation Department, Tsinghua University, Beijing, China
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Xin Zhou
5 State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, Hubei, China
6 University of ChineseAcademy of Sciences, Beijing, China
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Lin Ma
1 Department of Radiology, Chinese PLA General Hospital, Beijing, China
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Xin Lou
1 Department of Radiology, Chinese PLA General Hospital, Beijing, China
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Article Information

vol. 4 no. 3 129-134
DOI 
https://doi.org/10.1136/svn-2018-000228
PubMed 
31709118

Print ISSN 
2059-8688
Online ISSN 
2059-8696
History 
  • Received December 24, 2018
  • Revised March 22, 2019
  • Accepted April 2, 2019
  • Published online September 23, 2019.

Article Versions

  • Previous version (June 21, 2019 - 21:53).
  • You are viewing the most recent version of this article.
Copyright & Usage 
© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

Author Information

  1. Jinhao Lyu1,
  2. Ning Ma2,
  3. Chenglin Tian3,
  4. Feng Xu4,
  5. Hang Shao4,
  6. Xin Zhou5,6,
  7. Lin Ma1,
  8. Xin Lou1
  1. 1 Department of Radiology, Chinese PLA General Hospital, Beijing, China
  2. 2 Department of Interventional Neurology, Beijing Tiantan Hospital, Capital Medical University, China National Clinical Research Center for Neurological Diseases, Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
  3. 3 Department of Neurology, Chinese PLA General Hospital, Beijing, China
  4. 4 Automation Department, Tsinghua University, Beijing, China
  5. 5 State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, Hubei, China
  6. 6 University of ChineseAcademy of Sciences, Beijing, China
  1. Correspondence to Xin Lou; louxin{at}301hospital.com.cn
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Vol 4 Issue 3 Table of Contents
Stroke and Vascular Neurology: 4 (3)
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Perfusion and plaque evaluation to predict recurrent stroke in symptomatic middle cerebral artery stenosis
Jinhao Lyu, Ning Ma, Chenglin Tian, Feng Xu, Hang Shao, Xin Zhou, Lin Ma, Xin Lou
Stroke and Vascular Neurology Sep 2019, 4 (3) 129-134; DOI: 10.1136/svn-2018-000228

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Perfusion and plaque evaluation to predict recurrent stroke in symptomatic middle cerebral artery stenosis
Jinhao Lyu, Ning Ma, Chenglin Tian, Feng Xu, Hang Shao, Xin Zhou, Lin Ma, Xin Lou
Stroke and Vascular Neurology Sep 2019, 4 (3) 129-134; DOI: 10.1136/svn-2018-000228
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Perfusion and plaque evaluation to predict recurrent stroke in symptomatic middle cerebral artery stenosis
Jinhao Lyu, Ning Ma, Chenglin Tian, Feng Xu, Hang Shao, Xin Zhou, Lin Ma, Xin Lou
Stroke and Vascular Neurology Sep 2019, 4 (3) 129-134; DOI: 10.1136/svn-2018-000228
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