A novel fast kilovoltage switching dual-energy computed tomography technique with deep learning: Utility for non-invasive assessments of liver fibrosis.

Journal: European journal of radiology
Published Date: Aug 6, 2022

Abstract

PURPOSE: To investigate whether the iodine density of liver parenchyma in the equilibrium phase and extracellular volume fraction (ECV) measured by deep learning-based spectral computed tomography (CT) can enable noninvasive liver fibrosis staging.

Authors

  • Noriaki Wada
    Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
  • Nobuhiro Fujita
    Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan. Electronic address: fujita.nobuhiro.642@m.kyushu-u.ac.jp.
  • Keisuke Ishimatsu
    Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
  • Seiichiro Takao
    Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
  • Tomoharu Yoshizumi
    Department of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
  • Yoshiko Miyazaki
    Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
  • Yoshinao Oda
    Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, 812-8582, Japan.
  • Akihiro Nishie
    Department of Radiology, Graduate School of Medical Science, University of the Ryukyus, 1076 Kiyuna, Ginowan-shi, Okinawa, 901-2720, Japan.
  • Kousei Ishigami
    Departments of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
  • Yasuhiro Ushijima
    Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

Keywords

External Resources

Popular Topics
Recent Journals