Posterior circulation ischemic stroke: radiomics-based machine learning approach to identify onset time from magnetic resonance imaging.

Journal: Neuroradiology
Published Date: Apr 9, 2024

Abstract

PURPOSE: Posterior circulation ischemic stroke (PCIS) possesses unique features. However, previous studies have primarily or exclusively relied on anterior circulation stroke cases to build machine learning (ML) models for predicting onset time. To date, there is no research reporting the effectiveness and stability of ML in identifying PCIS onset time. We aimed to build diffusion-weighted imaging-based ML models to identify the onset time of PCIS patients.

Authors

  • Zhenhao Liu
    Department of Radiology, Beijing Friendship Hospital, Capital Medical University, 95 YongAn Road, Xicheng District, Beijing, 100050, People's Republic of China.
  • Shiyu Zhang
    1Medical School of Chinese PLA, Beijing.
  • Yuxin Wang
    The Key Laboratory of Food Safety Risk Assessment, Ministry of Health, China National Center for Food Safety Risk Assessment, Beijing 100021, China. Electronic address: wangyx@cfsa.net.cn.
  • Hui Xu
    No 202 Hospital of People's Liberation Army, Liaoning 110003, China.
  • Yongqiang Gao
    Department of Radiology, Affiliated Hospital of Changzhi Institute of Traditional Chinese Medicine, No. 2, Zifang Lane, Hero South Road, Luzhou District, Changzhi, 046000, People's Republic of China.
  • Hong Jin
    Department of Radiology, Affiliated Hospital of Changzhi Institute of Traditional Chinese Medicine, No. 2, Zifang Lane, Hero South Road, Luzhou District, Changzhi, 046000, People's Republic of China.
  • Yufeng Zhang
  • Hongyang Wu
    Department of Radiology, Affiliated Hospital of Changzhi Institute of Traditional Chinese Medicine, No. 2, Zifang Lane, Hero South Road, Luzhou District, Changzhi, 046000, People's Republic of China.
  • Jun Lu
    School of Acupuncture-moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing 100029, China.
  • Peipei Chen
    College of Biomedical Engineering and Instrumental Science, Zhejiang University, 310008 Hangzhou, China; School of Industrial Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.
  • Peng-Gang Qiao
    Department of Radiology, Beijing Friendship Hospital, Capital Medical University, 95 YongAn Road, Xicheng District, Beijing, 100050, People's Republic of China. qiaopenggang@sina.com.
  • Zhenghan Yang
    Department of Radiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.

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