Prediction of Anemia From Cerebral Venous Sinus Attenuation on Deep-Learning Reconstructed Brain Computed Tomography Images.

Journal: Journal of computer assisted tomography
PMID: 37707411

Abstract

OBJECTIVE: The aim of the study is to evaluate whether the prediction of anemia is possible using quantitative analyses of unenhanced cranial computed tomography (CT) with deep learning reconstruction (DLR) compared with conventional methods.

Authors

  • Ryo Yamakuni
    From the Department of Radiology and Nuclear Medicine, Fukushima Medical University School of Medicine.
  • Hirofumi Sekino
    From the Department of Radiology and Nuclear Medicine, Fukushima Medical University School of Medicine.
  • Masaki Saito
    Department of Radiology, Fukushima Medical University Hospital.
  • Takeyasu Kakamu
    Department of Hygiene and Preventive Medicine, Fukushima Medical University School of Medicine, Fukushima, Japan.
  • Katsuhiro Takahashi
    Department of Radiology, Fukushima Medical University Hospital.
  • Junko Hara
    From the Department of Radiology and Nuclear Medicine, Fukushima Medical University School of Medicine.
  • Hiroki Suenaga
    From the Department of Radiology and Nuclear Medicine, Fukushima Medical University School of Medicine.
  • Shiro Ishii
    From the Department of Radiology and Nuclear Medicine, Fukushima Medical University School of Medicine.
  • Kenji Fukushima
    From the Department of Radiology and Nuclear Medicine, Fukushima Medical University School of Medicine.
  • Hiroshi Ito

Keywords

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