Detecting acute bilirubin encephalopathy in neonates based on multimodal MRI with deep learning.

Journal: Pediatric research
PMID: 34091603

Abstract

BACKGROUND: Differentiating acute bilirubin encephalopathy (ABE) from non-ABE in neonates with hyperbilirubinemia (HB) from routine magnetic resonance imaging (MRI) is extremely challenging since both conditions demonstrate similar T1 hyperintensities. To this end, we investigated whether the integration of multimodal MRI from routine clinical scans with deep-learning approaches could improve diagnostic performance.

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.
  • Yuqing You
    Department of Radiology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
  • Zhiyong Zhao
    Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hang Zhou, China.
  • Dan Wu
    Xi'an Aerospace Propulsion Institute, Xi'an 710049, China.

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