Non-invasive liver fibrosis screening on CT images using radiomics.

Journal: BMC medical imaging
Published Date: Jul 15, 2025

Abstract

PURPOSE: To develop a radiomics machine learning model for detecting liver fibrosis on CT images of the liver.

Authors

  • Jay J Yoo
    University of Toronto, Institute of Medical Science, Toronto, M5S 1A8, Canada.
  • Khashayar Namdar
    Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.
  • Sean Carey
    Joint Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.
  • Sandra E Fischer
    Laboratory Medicine & Pathobiology - Anatomic Pathology, University of Toronto, Toronto General Hospital, 585 University Avenue, Toronto, ON, M5G 2N2, Canada.
  • Chris McIntosh
  • Farzad Khalvati
    Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada. farzad.khalvati@utoronto.ca.
  • Patrik Rogalla
    Joint Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.

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