Computer-Aided Detection AI Reduces Interreader Variability in Grading Hip Abnormalities With MRI.

Journal: Journal of magnetic resonance imaging : JMRI
Published Date:

Abstract

BACKGROUND: Accurate interpretation of hip MRI is time-intensive and difficult, prone to inter- and intrareviewer variability, and lacks a universally accepted grading scale to evaluate morphological abnormalities.

Authors

  • Radhika Tibrewala
    Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
  • Eugene Ozhinsky
    From the Department of Radiology and Biomedical Imaging (C.E.v.S., J.H.S., E.O., P.M.J., M.P., S.C.F., T.M.L., V.P.) and Department of Epidemiology and Biostatistics (F.L., M.C.N.), University of California, San Francisco, 185 Berry St, Suite 350, San Francisco, CA 94107; Department of Diagnostic and Interventional Radiology, Technische Universität München, Munich, Germany (C.E.v.S., S.C.F.); Department of Diagnostic and Interventional Radiology, Medical Center-University of Freiburg, Faculty of Medicine, Freiburg, Germany (P.M.J.); and Department of Radiology, University of California Davis Health, Sacramento, Calif (L.N.).
  • Rutwik Shah
    Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
  • Io Flament
    Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
  • Kay Crossley
    La Trobe Sport and Exercise Medicine Research Centre, College of Science, Health and Engineering, La Trobe University, Melbourne, Victoria, Australia.
  • Ramya Srinivasan
    Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
  • Richard Souza
    Department of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
  • Thomas M Link
    Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143, USA.
  • Valentina Pedoia
    Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143, USA.
  • Sharmila Majumdar
    Department of Radiology and Biomedical Imaging, University of California San Francisco, 1700 4th Street, Byers Hall, Suite 203, Room 203D, San Francisco, CA 94158, USA.