Advancements in early detection of pancreatic cancer: the role of artificial intelligence and novel imaging techniques.

Journal: Abdominal radiology (New York)
Published Date: Oct 28, 2024

Abstract

Early detection is crucial for improving survival rates of pancreatic ductal adenocarcinoma (PDA), yet current diagnostic methods can often fail at this stage. Recently, there has been significant interest in improving risk stratification and developing imaging biomarkers, through novel imaging techniques, and most notably, artificial intelligence (AI) technology. This review provides an overview of these advancements, with a focus on deep learning methods for early detection of PDA.

Authors

  • Chenchan Huang
    Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA.
  • Yiqiu Shen
  • Samuel J Galgano
    University of Alabama at Birmingham, Birmingham, USA.
  • Ajit H Goenka
    Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA. Electronic address: goenka.ajit@mayo.edu.
  • Elizabeth M Hecht
    Department of Radiology, Weill Cornell Medicine, 520 East 70th Street, New York, NY, 10021, USA.
  • Avinash Kambadakone
    Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts. Electronic address: akambadakone@mgh.harvard.edu.
  • Zhen Jane Wang
    University of California, San Francisco, San Francisco, USA.
  • Linda C Chu
    The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland. Electronic address: lindachu@jhmi.edu.

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