A fusion-based deep-learning algorithm predicts PDAC metastasis based on primary tumour CT images: a multinational study.

Journal: Gut
Published Date:

Abstract

BACKGROUND: Diagnosing the presence of metastasis of pancreatic cancer is pivotal for patient management and treatment, with contrast-enhanced CT scans (CECT) as the cornerstone of diagnostic evaluation. However, this diagnostic modality requires a multifaceted approach.

Authors

  • Nannan Xue
    Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center, Madrid, Spain.
  • Sergio Sabroso-Lasa
    Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center, Madrid, Spain.
  • Xavier Merino
    Sección de Imagen Abdominal, Hospital Vall d'Hebron, Barcelona, Catalunya, Spain.
  • Maria Munzo-Beltran
    Radiology, Hospital Ramón y Cajal, Madrid, Spain.
  • Megan Schuurmans
    Diagnostic Image Analysis Group, Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Maria Olano
    Spanish National Cancer Research Centre, Madrid, Spain.
  • Lidia Estudillo
    Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center (CNIO), Madrid, Spain.
  • Maria Jesus Ledesma-Carbayo
  • Junqi Liu
    The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
  • Ruitai Fan
    The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
  • John J Hermans
    Department of Medical Imaging, Radboud University Medical Center, Radboud University Nijmegen, Nijmegen, the Netherlands.
  • Casper van Eijck
    Department of Surgery, Erasmus University Medical Centre, Rotterdam, The Netherlands.
  • Núria Malats
    Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Center, Madrid, Spain.

Keywords

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