Comparison of deep learning schemes in grading non-alcoholic fatty liver disease using B-mode ultrasound hepatorenal window images with liver biopsy as the gold standard.

Journal: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
PMID: 39626614

Abstract

BACKGROUND/INTRODUCTION: To evaluate the performance of pre-trained deep learning schemes (DLS) in hepatic steatosis (HS) grading of Non-Alcoholic Fatty Liver Disease (NAFLD) patients, using as input B-mode US images containing right kidney (RK) cortex and liver parenchyma (LP) areas indicated by an expert radiologist.

Authors

  • Petros Drazinos
  • Ilias Gatos
    Department of Medical Physics, School of Medicine, University of Patras, Rion GR 26504, Greece.
  • Paraskevi F Katsakiori
    3DMI Research Group, Department of Medical Physics, School of Medicine, University of Patras, Rion, GR 26504, Greece.
  • Stavros Tsantis
    Department of Medical Physics, School of Medicine, University of Patras, Rion GR 26504, Greece.
  • Efstratios Syrmas
    3DMI Research Group, Department of Medical Physics, School of Medicine, University of Patras, Rion, GR 26504, Greece.
  • Stavros Spiliopoulos
    Department of Radiology, School of Medicine, University of Patras, Rion GR 26504, Greece.
  • Dimitris Karnabatidis
    Department of Radiology, School of Medicine, University of Patras, Patras, Greece.
  • Ioannis Theotokas
    Diagnostic Echotomography SA, 317C Kifissias Avenue, Kifissia GR 14561, Greece.
  • Pavlos Zoumpoulis
    Diagnostic Echotomography SA, 317C Kifissias Avenue, Kifissia GR 14561, Greece.
  • John D Hazle
    Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030.
  • George C Kagadis
    Department of Medical Physics, School of Medicine, University of Patras, Rion GR 26504, Greece and Department of Imaging Physics, The University of  Texas MD Anderson Cancer Center, Houston, Texas 77030.

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