Sarcopenia identified by computed tomography imaging using a deep learning-based segmentation approach impacts survival in patients with newly diagnosed multiple myeloma.

Journal: Cancer
Published Date: Nov 22, 2022

Abstract

BACKGROUND: Sarcopenia increases with age and is associated with poor survival outcomes in patients with cancer. By using a deep learning-based segmentation approach, clinical computed tomography (CT) images of the abdomen of patients with newly diagnosed multiple myeloma (NDMM) were reviewed to determine whether the presence of sarcopenia had any prognostic value.

Authors

  • Bharat Nandakumar
    Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA.
  • Francis Baffour
    Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Nadine H Abdallah
    Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA.
  • Shaji K Kumar
    Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA.
  • Angela Dispenzieri
    Division of Hematology, Mayo Clinic College of Medicine, Rochester, Minnesota, USA.
  • Francis K Buadi
    Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA.
  • David Dingli
    Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA.
  • Martha Q Lacy
    Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA.
  • Suzanne R Hayman
    Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA.
  • Prashant Kapoor
    Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA.
  • Nelson Leung
    Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA.
  • Amie Fonder
    Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA.
  • Miriam Hobbs
    Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA.
  • Yi Lisa Hwa
    Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA.
  • Eli Muchtar
    Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA.
  • Rahma Warsame
    Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA.
  • Taxiarchis V Kourelis
    Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA.
  • Ronald S Go
    Mayo Clinic Rochester, Rochester, MN.
  • Robert A Kyle
    Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA.
  • Morie A Gertz
    Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA.
  • S Vincent Rajkumar
    Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA.
  • Jason Klug
    Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA.
  • Panagiotis Korfiatis
    From the Department of Radiology, Mayo Clinic, 200 First St SW, Rochester, MN 55905.
  • Wilson I Gonsalves
    Division of Hematology, Mayo Clinic, Rochester, Minnesota, USA.

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