Deep learning from head CT scans to predict elevated intracranial pressure.

Journal: Journal of neuroimaging : official journal of the American Society of Neuroimaging
PMID: 39387348

Abstract

BACKGROUND AND PURPOSE: Elevated intracranial pressure (ICP) resulting from severe head injury or stroke poses a risk of secondary brain injury that requires neurosurgical intervention. However, currently available noninvasive monitoring techniques for predicting ICP are not sufficiently advanced. We aimed to develop a minimally invasive ICP prediction model using simple CT images to prevent secondary brain injury caused by elevated ICP.

Authors

  • Ryota Sato
    Division of Cardiology, Internal Medicine III, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka, Japan.
  • Yukinori Akiyama
    Department of Neurosurgery, Sapporo Medical University, Japan.
  • Takeshi Mikami
    Department of Neurosurgery, Sapporo Medical University, Japan. Electronic address: tmikami@sapmed.ac.jp.
  • Ayumu Yamaoka
    Department of Neurosurgery, Sapporo Medical University, Sapporo, Japan.
  • Chie Kamada
    Department of Neurosurgery, Sapporo Medical University, Sapporo, Japan.
  • Kyoya Sakashita
    Department of Neurosurgery, Sapporo Medical University, Sapporo, Japan.
  • Yasuhiro Takahashi
    Department of Neurosurgery, Sapporo Medical University, Sapporo, Japan.
  • Yusuke Kimura
    Division of Urology, Tottori University Faculty of Medicine, Tottori, Japan.
  • Katsuya Komatsu
    Department of Neurosurgery, Sapporo Medical University, Sapporo, Japan.
  • Nobuhiro Mikuni
    Department of Neurosurgery, Sapporo Medical University, Japan.

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