Measurement of adipose body composition using an artificial intelligence-based CT Protocol and its association with severe acute pancreatitis in hospitalized patients.

Journal: Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
Published Date:

Abstract

BACKGROUND/OBJECTIVES: The clinical utility of body composition in predicting the severity of acute pancreatitis (AP) remains unclear. We aimed to measure body composition using artificial intelligence (AI) to predict severe AP in hospitalized patients.

Authors

  • Pedro Cortés
    Division of Gastroenterology and Hepatology, University of Washington, Seattle, WA, USA.
  • Tyler A Mistretta
    Division of Medicine, Mayo Clinic, Jacksonville, FL, USA.
  • Brittany Jackson
    Division of Medicine, Mayo Clinic, Jacksonville, FL, USA.
  • Caroline G Olson
    Division of Medicine, Mayo Clinic, Jacksonville, FL, USA.
  • Ahmed M Al Qady
    Division of Internal Medicine, Indiana University, Indianapolis, IN, USA.
  • Fernando F Stancampiano
    Division of Medicine, Mayo Clinic, Jacksonville, FL, USA.
  • Panagiotis Korfiatis
    From the Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905.
  • Jason R Klug
    Division of Radiology, Mayo Clinic, Rochester, MN, USA.
  • Dana M Harris
    Division of Medicine, Mayo Clinic, Jacksonville, FL, USA.
  • J Dan Echols
    Division of Medicine, Mayo Clinic, Jacksonville, FL, USA.
  • Rickey E Carter
    Department of Health Sciences Research, Mayo Clinic, Jacksonville, Florida.
  • Baoan Ji
    Division of Cancer Biology, Mayo Clinic, Jacksonville, FL, USA.
  • Heather D Hardway
    Digital Innovation Lab, Department of Health Sciences Research, Mayo Clinic, Jacksonville, Fla.
  • Michael B Wallace
  • Vivek Kumbhari
    Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida, USA.
  • Yan Bi
    Department of Endocrinology, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, 210008, China.