Utilisation of artificial intelligence for the development of an EUS-convolutional neural network model trained to enhance the diagnosis of autoimmune pancreatitis.

Journal: Gut
Published Date: Jul 1, 2021

Abstract

OBJECTIVE: The diagnosis of autoimmune pancreatitis (AIP) is challenging. Sonographic and cross-sectional imaging findings of AIP closely mimic pancreatic ductal adenocarcinoma (PDAC) and techniques for tissue sampling of AIP are suboptimal. These limitations often result in delayed or failed diagnosis, which negatively impact patient management and outcomes. This study aimed to create an endoscopic ultrasound (EUS)-based convolutional neural network (CNN) model trained to differentiate AIP from PDAC, chronic pancreatitis (CP) and normal pancreas (NP), with sufficient performance to analyse EUS video in real time.

Authors

  • Neil B Marya
    Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.
  • Patrick D Powers
    Independent Researcher, Chelsea, Massachusetts.
  • Suresh T Chari
    Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX, 77030, USA.
  • Ferga C Gleeson
    Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.
  • Cadman L Leggett
    Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.
  • Barham K Abu Dayyeh
    Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.
  • Vinay Chandrasekhara
    Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.
  • Prasad G Iyer
    Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.
  • Shounak Majumder
    Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA.
  • Randall K Pearson
    Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA.
  • Bret T Petersen
    Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA.
  • Elizabeth Rajan
    Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA.
  • Tarek Sawas
    Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.
  • Andrew C Storm
    Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.
  • Santhi S Vege
    Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA.
  • Shigao Chen
    Division of Diagnostic Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Zaiyang Long
    Division of Diagnostic Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • David M Hough
    Division of Diagnostic Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Kristin Mara
    Biomedical Statistics and Informatics, Mayo Clinic Rochester, Rochester, Minnesota, USA.
  • Michael J Levy
    Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.

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