Detecting neonatal acute bilirubin encephalopathy based on T1-weighted MRI images and learning-based approaches.

Journal: BMC medical imaging
PMID:

Abstract

BACKGROUND: Neonatal hyperbilirubinemia is a common clinical condition that requires medical attention in newborns, which may develop into acute bilirubin encephalopathy with a significant risk of long-term neurological deficits. The current clinical challenge lies in the separation of acute bilirubin encephalopathy and non-acute bilirubin encephalopathy neonates both with hyperbilirubinemia condition since both of them demonstrated similar T1 hyperintensity and lead to difficulties in clinical diagnosis based on the conventional radiological reading. This study aims to investigate the utility of T1-weighted MRI images for differentiating acute bilirubin encephalopathy and non-acute bilirubin encephalopathy neonates with hyperbilirubinemia.

Authors

  • Miao Wu
    College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hang Zhou, China.
  • Xiaoxia Shen
    Department of Neonatal Intensive Care Unit, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, 310051, China.
  • Can Lai
    Department of Radiology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, 310052, China.
  • Weihao Zheng
    Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, 310027, China.
  • Yingqun Li
    Department of Radiology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, 310052, China.
  • Zhongli Shangguan
    Department of Radiology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, 310052, China.
  • Chuanbo Yan
    College of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, China.
  • Tingting Liu
    Center for Drug Safety Evaluation and Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
  • Dan Wu
    Xi'an Aerospace Propulsion Institute, Xi'an 710049, China.