Deep-learning based automated pancreas segmentation on CT scans of chronic pancreatitis patients.

Journal: European journal of radiology
Published Date: Aug 1, 2025

Abstract

OBJECTIVES: This study aimed to develop an artificial intelligence (AI)-based segmentation model for accurate delineation of the complex pancreas in patients with chronic pancreatitis (CP) using computer tomography (CT) scans obtained during routine clinical work-up. Validation was performed with internal and external test datasets. A secondary objective was to evaluate the impact of visceral fat area (at the third lumbar level), pancreas volume, and CT parameters on model performance.

Authors

  • Surenth Nalliah
    Radiology Research Center, Department of Radiology, Aalborg University Hospital, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
  • Esben Bolvig Mark
    Department of Clinical Medicine, Aalborg University, Aalborg, Denmark; Mech-Sense, Department of Gastroenterology and Hepatology, Aalborg University Hospital, Aalborg Denmark.
  • Marjolein Henrieke Liedenbaum
    MMIV Mohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, Bergen, Norway.
  • Mille Kristence Lillien Mosegaard
    Radiology Research Center, Department of Radiology, Aalborg University Hospital, Aalborg, Denmark.
  • Tobias Hellström
    Radiology Research Center, Department of Radiology, Aalborg University Hospital, Aalborg, Denmark.
  • Erlend Hodneland
    NORCE Norwegian Research Centre, Bergen, Norway. erlend.hodneland@uib.no.
  • Ingfrid Helene Salvesen Haldorsen
    Department of Radiology, Mohn Medical Imaging and Visualization Centre (MMIV), Haukeland University Hospital, Bergen, Norway.
  • Trond Engjom
    Department of Medicine, Haukeland University Hospital, Bergen, Norway.
  • Asbjørn Mohr Drewes
    Mech-Sense, Department of Gastroenterology and Hepatology, Aalborg University Hospital, Aalborg, Denmark.
  • Søren Schou Olesen
    Department of Clinical Medicine, Aalborg University, Aalborg, Denmark; Centre for Pancreatic Disease, Department of Gastroenterology and Hepatology, Aalborg University Hospital, Aalborg, Denmark.
  • Jens Brøndum Frøkjær
    Radiology Research Center, Department of Radiology, Aalborg University Hospital, Aalborg, Denmark; Department of Clinical Medicine, Aalborg University, Aalborg, Denmark. Electronic address: jebf@rn.dk.

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