Application of artificial intelligence using a novel EUS-based convolutional neural network model to identify and distinguish benign and malignant hepatic masses.

Journal: Gastrointestinal endoscopy
Published Date: Aug 28, 2020

Abstract

BACKGROUND AND AIMS: Detection and characterization of focal liver lesions (FLLs) is key for optimizing treatment for patients who may have a primary hepatic cancer or metastatic disease to the liver. This is the first study to develop an EUS-based convolutional neural network (CNN) model for the purpose of identifying and classifying FLLs.

Authors

  • Neil B Marya
    Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.
  • Patrick D Powers
    Independent Researcher, Chelsea, Massachusetts.
  • Larissa Fujii-Lau
    Department of Gastroenterology, The Queen's Medical Center, Honolulu, Hawaii.
  • Barham K Abu Dayyeh
    Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.
  • Ferga C Gleeson
    Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.
  • 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.
  • Vinay Chandrasekhara
    Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.
  • Prasad G Iyer
    Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.
  • Elizabeth Rajan
    Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA.
  • William Sanchez
    Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.
  • Tarek Sawas
    Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.
  • Andrew C Storm
    Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.
  • Kenneth K Wang
    Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 55905, USA. Electronic address: wang.kenneth@mayo.edu.
  • Michael J Levy
    Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota.

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