Graphic Intelligent Diagnosis of Hypoxic-Ischemic Encephalopathy Using MRI-Based Deep Learning Model.

Journal: Neonatology
PMID: 37231912

Abstract

INTRODUCTION: Heterogeneous MRI manifestations restrict the efficiency and consistency of neuroradiologists in diagnosing hypoxic-ischemic encephalopathy (HIE) due to complex injury patterns. This study aimed to develop and validate an intelligent HIE identification model (termed as DLCRN, deep learning clinical-radiomics nomogram) based on conventional structural MRI and clinical characteristics.

Authors

  • Tian Tian
    Laboratory Animal Center College of Animal Science Jilin University Changchun China.
  • Tongjia Gan
    Medical Imaging Center, Wuhan Children's Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Jun Chen
    Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA 90095, USA.
  • Jun Lu
    School of Acupuncture-moxibustion and Tuina, Beijing University of Chinese Medicine, Beijing 100029, China.
  • Guiling Zhang
    Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Yiran Zhou
    Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Jia Li
    Zhongshan Institute for Drug Discovery, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan Tsuihang New District, Guangdong, 528400, PR China; School of Pharmacy, Zunyi Medical University, Zunyi, 563000, PR China; National Center for Drug Screening, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, PR China.
  • Haoyue Shao
    Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Yufei Liu
    China Agricultural University, Beijing 100083, China.
  • Hongquan Zhu
    Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Di Wu
    University of Melbourne, Melbourne, VIC 3010 Australia.
  • Chengcheng Jiang
    Department of Radiology, Maternal and Child Health Hospital of Hubei Province, Wuhan, China.
  • Jianbo Shao
  • Jingjing Shi
    Cardiovascular Department, Guang'anmen Hospital, China Academy of Chinese Medical Sciences.
  • Wenzhong Yang
    College of Information Science and Engineering, Xinjiang University, Urumqi, Xinjiang, China.
  • Wenzhen Zhu
    Department of Radiology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, 430030, China.

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