Artificial intelligence assisted whole organ pancreatic fat estimation on magnetic resonance imaging and correlation with pancreas attenuation on computed tomography.

Journal: Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.]
Published Date: Apr 26, 2023

Abstract

BACKGROUND: Fatty pancreas is associated with inflammatory and neoplastic pancreatic diseases. Magnetic resonance imaging (MRI) is the diagnostic modality of choice for measuring pancreatic fat. Measurements typically use regions of interest limited by sampling and variability. We have previously described an artificial intelligence (AI)-aided approach for whole pancreas fat estimation on computed tomography (CT). In this study, we aimed to assess the correlation between whole pancreas MRI proton-density fat fraction (MR-PDFF) and CT attenuation.

Authors

  • Laurens P Janssens
    Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA.
  • Hiroaki Takahashi
    Department of Radiology, Mayo Clinic, Rochester, MN, USA.
  • Hiroki Nagayama
    Department of Radiology, Mayo Clinic, Rochester, MN, USA.
  • Fred Nugen
    Department of Radiology, Mayo Clinic, Rochester, MN, USA.
  • William R Bamlet
    Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
  • Ann L Oberg
    Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
  • Eric Fuemmeler
    Department of Radiology, Mayo Clinic, Rochester, MN, USA.
  • Ajit H Goenka
    Department of Radiology, Mayo Clinic, Rochester, MN 55905, USA. Electronic address: goenka.ajit@mayo.edu.
  • Bradley J Erickson
    Department of Radiology, Radiology Informatics Lab, Mayo Clinic, Rochester, MN 55905, United States.
  • Naoki Takahashi
    1 Department of Radiology, Radiology Informatics Laboratory, Mayo Clinic, 3507 17th Ave NW, Rochester, MN 55901.
  • Shounak Majumder
    Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA.

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