Machine learning-based prognostic prediction for acute ischemic stroke using whole-brain and infarct multi-PLD ASL radiomics.

Journal: BMC medical imaging
Published Date: Jul 4, 2025

Abstract

INTRODUCTION: Accurate early prognostic prediction for acute ischemic stroke (AIS) is essential for guiding personalized treatment. This study aimed to assess the predictive value of radiomics features from whole-brain and infarct cerebral blood flow (CBF) images using multiple post-labeling delay arterial spin labeling (multi-PLD ASL), and to develop a prediction model incorporating clinical risk factors.

Authors

  • Zhenyu Wang
    Department of Radiology, Affiliated Hospital 6 of Nantong University, Medical School of Nantong University, Nantong, Jiangsu, China.
  • Chaojun Jiang
    Department of Radiology, The People's Hospital of Danyang, Affiliated Danyang Hospital of Nantong University, Danyang, Jiangsu, China.
  • Xianxian Zhang
    Department of Neurology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, Jiangsu, China.
  • Tianchi Mu
    Department of Radiology, Yancheng Third People's Hospital, Affiliated Hospital 6 of Nantong University, Yancheng, Jiangsu, China.
  • Qingqing Li
    Department of Radiology, Suzhou Wuzhong People's Hospital, Suzhou, Jiangsu, China.
  • Shu Wang
    Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, Jiangsu, China.
  • Congsong Dong
    Department of Radiology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, Jiangsu, China.
  • Yuan Shen
    Department of Neurology, Affiliated Hospital 6 of Nantong University, Yancheng Third People's Hospital, Yancheng, Jiangsu, China.
  • Zhenyu Dai
    Department of Radiology, Affiliated Hospital 6 of Nantong University, Medical School of Nantong University, Nantong, Jiangsu, China.
  • Fei Chen
    Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China.

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