Deep Learning Diagnosis and Classification of Rotator Cuff Tears on Shoulder MRI.

Journal: Investigative radiology
PMID:

Abstract

BACKGROUND: Detection of rotator cuff tears, a common cause of shoulder disability, can be time-consuming and subject to reader variability. Deep learning (DL) has the potential to increase radiologist accuracy and consistency.

Authors

  • Dana J Lin
    Division of Musculoskeletal Radiology, Department of Radiology, NYU Langone Health, New York, New York.
  • Michael Schwier
    Siemens Medical Solutions USA, Princeton, NJ.
  • Bernhard Geiger
    Technology Excellence, Digital Technology & Innovation, Siemens Healthineers, Princeton, NJ, USA.
  • Esther Raithel
    Siemens Healthcare GmbH, Erlangen, Germany.
  • Heinrich von Busch
    Digital Health, Siemens Healthineers, Erlangen, Germany.
  • Jan Fritz
    The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N. Caroline St., Room 4223, Baltimore, MD, 21287, USA. jfritz9@jhmi.edu.
  • Mitchell Kline
    Department of Radiology, New York University Grossman School of Medicine, 660 First Ave, 3rd Fl, New York, NY 10016.
  • Michael Brooks
    From the Department of Radiology, NYU Grossman School of Medicine, New York, NY.
  • Kevin Dunham
    From the Department of Radiology, NYU Grossman School of Medicine, New York, NY.
  • Mehool Shukla
    From the Department of Radiology, NYU Grossman School of Medicine, New York, NY.
  • Erin F Alaia
    Department of Radiology, New York University Grossman School of Medicine, 660 First Ave, 3rd Fl, New York, NY 10016.
  • Mohammad Samim
    Department of Radiology, New York University Grossman School of Medicine, 660 First Ave, 3rd Fl, New York, NY 10016.
  • Vivek Joshi
    From the Department of Radiology, NYU Grossman School of Medicine, New York, NY.
  • William R Walter
    Department of Radiology, New York University Grossman School of Medicine, 660 First Ave, 3rd Fl, New York, NY 10016.
  • Jutta M Ellermann
    Department of Radiology, Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN.
  • Hakan Ilaslan
    Imaging Institute, Cleveland Clinic, Cleveland, OH.
  • David Rubin
  • Carl S Winalski
    Imaging Institute, Cleveland Clinic, Cleveland, OH.
  • Michael P Recht
    Center for Biomedical Imaging, Department of Radiology, NYU School of Medicine, New York, New York, USA.