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Research progress in imaging prediction of recurrence of ischemic stroke
BAI Fan  WANG Xiaochun 

Cite this article as BAI F, WANG X C. Research progress in imaging prediction of recurrence of ischemic stroke[J]. Chin J Magn Reson Imaging, 2024, 15(5): 198-203. DOI:10.12015/issn.1674-8034.2024.05.032.


[Abstract] Cerebral ischemic stroke (CIS) is characterized by high incidence rate, high disability rate, high mortality rate and high recurrence rate. Recurrent patients have a higher disability and mortality rate. Therefore, early identification of high-risk populations for recurrence of ischemic stroke, screening of risk factors for recurrence, prediction of recurrence risk, and targeted intervention can effectively reduce recurrence risk and delay recurrence progression. This article provides a review of the research progress in predicting the recurrence of ischemic stroke using imaging, in order to enhance our understanding of recurrent ischemic stroke and reduce the occurrence of related adverse events caused by recurrence.
[Keywords] ischemic stroke recurrence；imaging；radiomics；machine learning；magnetic resonance imaging

BAI Fan1   WANG Xiaochun2*  

1 College of Medical Imaging, Shanxi Medical University, Taiyuan 030001, China

2 Department of Radiology, First Hospital of Shanxi Medical University, Taiyuan 030001, China

Corresponding author: WANG X C, E-mail: 2010xiaochun@163.com

Conflicts of interest   None.

Received  2023-12-07
Accepted  2024-04-30
DOI: 10.12015/issn.1674-8034.2024.05.032
Cite this article as BAI F, WANG X C. Research progress in imaging prediction of recurrence of ischemic stroke[J]. Chin J Magn Reson Imaging, 2024, 15(5): 198-203. DOI:10.12015/issn.1674-8034.2024.05.032.

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