Deep learning-based segmentation of acute ischemic stroke MRI lesions and recurrence prediction within 1 year after discharge: A multicenter study.

Journal: Neuroscience
PMID: 39631660

Abstract

OBJECTIVE: To explore the performance of deep learning-based segmentation of infarcted lesions in the brain magnetic resonance imaging (MRI) of patients with acute ischemic stroke (AIS) and the recurrence prediction value of radiomics within 1 year after discharge as well as to develop a model incorporating radiomics features and clinical factors to accurately predict AIS recurrence.

Authors

  • Jianmo Liu
    Department of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
  • Jingyi Li
    Key Laboratory of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, College of Animal Science and Technology and College of Veterinary Medicine, Huazhong Agricultural University, 430070 Wuhan, PR China. Electronic address: lijingyi@mail.hzau.edu.cn.
  • Yifan Wu
    Department of Information Science and Technology, Northwest University, Xi'an, Shaanxi 710127, China.
  • Haowen Luo
    Medical Big-Data Center, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, PR China. Electronic address: 370904129@qq.com.
  • Pengfei Yu
    Xijing Hospital, Fourth Military Medical University, Xi'an, China.
  • Rui Cheng
    Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China.
  • Xiaoman Wang
    Department of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, Nanchang, China; School of Public Health, Nanchang University, Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang, China.
  • Hongfei Xian
    Department of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, Nanchang, China; School of Public Health, Nanchang University, Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang, China.
  • Bin Wu
    Department of Psychiatry, Xi'an Mental Health Center, Xi'an, China.
  • Yongsen Chen
    Department of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, Nanchang, China; School of Public Health, Nanchang University, Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang, China.
  • Jingyao Ke
    Department of Medical Big Data Research Centre, The Second Affiliated Hospital of Nanchang University, Nanchang, China; School of Public Health, Nanchang University, Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang, China.
  • Yingping Yi
    Department of Information, The Second Affiliated Hospital of Nanchang University, Nanchang, China.

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