CT-derived pectoralis composition and incident pneumonia hospitalization using fully automated deep-learning algorithm: multi-ethnic study of atherosclerosis.

Journal: European radiology
Published Date:

Abstract

BACKGROUND: Pneumonia-related hospitalization may be associated with advanced skeletal muscle loss due to aging (i.e., sarcopenia) or chronic illnesses (i.e., cachexia). Early detection of muscle loss may now be feasible using deep-learning algorithms applied on conventional chest CT.

Authors

  • Hamza A Ibad
    Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Russell H. Morgan, Baltimore, MD, USA.
  • Quincy A Hathaway
    Division of Exercise Physiology, West Virginia University School of Medicine, PO Box 9227, 1 Medical Center Drive, Morgantown, WV, 26505, USA.
  • David A Bluemke
    From the Department of Radiology (B.A.-V.), Bloomberg School of Public Health (E.G.), and Department of Medicine, Cardiology and Radiology (J.A.C.L.), Johns Hopkins University, Baltimore, MD; George Washington University, DC (X.Y.); Office of Biostatistics, NHLBI, NIH, Bethesda, MD (C.O.W.); Department of Preventive Medicine, Northwestern University Medical School, Chicago, IL (K.L.); Department of Cardiology, Wake Forest University Health Sciences, Winston-Salem, NC (W.G.H.); Department of Biostatistics, University of Washington, Seattle (R.M.); Department of Radiology, UCLA School of Medicine, Los Angeles, CA (A.S.G.); Division of Epidemiology and Community Health, University of Minnesota, Minneapolis (A.R.F.); Departments of Medicine and Epidemiology, Columbia University, New York, NY (S.S.); and Radiology and Imaging Sciences, NIH Clinical Center, Bethesda, MD (D.A.B.).
  • Arta Kasaeian
    Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Russell H. Morgan, Baltimore, MD, USA.
  • Joshua G Klein
    From the Russell H. Morgan Department of Radiology and Radiological Science (S.D., J.G.K., E.G., H.A.I., K.M., K.T., E.K.F.) and Department of Biomedical Engineering (W.B.Z.), Johns Hopkins University School of Medicine, 601 N Carolina St, Baltimore, MD 21287; Division of Musculoskeletal Imaging, Department of Radiology, Mayo Clinic, Rochester, Minn (F.I.B.); Department of Radiology, New York University Grossman School of Medicine, New York, NY (J.F.); Department of Radiology and Imaging, Hospital for Special Surgery, New York, NY (J.A.C.); and Department of Radiology, Quantitative Imaging Center, Boston University School of Medicine, Boston, Mass (A.G.).
  • Matthew J Budoff
    Los Angeles Biomedical Research Institute at Harbor UCLA Medical Center, Torrance, CA, USA. mbudoff@labiomed.org.
  • R Graham Barr
    Columbia University, Division of General Medicine, New York, NY, USA.
  • Matthew Allison
    Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA.
  • Wendy S Post
    Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD.
  • João A C Lima
    From the Department of Radiology (B.A.-V.), Bloomberg School of Public Health (E.G.), and Department of Medicine, Cardiology and Radiology (J.A.C.L.), Johns Hopkins University, Baltimore, MD; George Washington University, DC (X.Y.); Office of Biostatistics, NHLBI, NIH, Bethesda, MD (C.O.W.); Department of Preventive Medicine, Northwestern University Medical School, Chicago, IL (K.L.); Department of Cardiology, Wake Forest University Health Sciences, Winston-Salem, NC (W.G.H.); Department of Biostatistics, University of Washington, Seattle (R.M.); Department of Radiology, UCLA School of Medicine, Los Angeles, CA (A.S.G.); Division of Epidemiology and Community Health, University of Minnesota, Minneapolis (A.R.F.); Departments of Medicine and Epidemiology, Columbia University, New York, NY (S.S.); and Radiology and Imaging Sciences, NIH Clinical Center, Bethesda, MD (D.A.B.). jlima@jhmi.edu.
  • Shadpour Demehri
    Department of Radiology, The Johns Hopkins Hospital, Baltimore, MD 21287.