A Clinical and Imaging Fused Deep Learning Model Matches Expert Clinician Prediction of 90-Day Stroke Outcomes.

Journal: AJNR. American journal of neuroradiology
Published Date:

Abstract

BACKGROUND AND PURPOSE: Predicting long-term clinical outcome in acute ischemic stroke is beneficial for prognosis, clinical trial design, resource management, and patient expectations. This study used a deep learning-based predictive model (DLPD) to predict 90-day mRS outcomes and compared its predictions with those made by physicians.

Authors

  • Yongkai Liu
    Department of Radiological Sciences, University of California, Los Angeles, California, USA.
  • Preya Shah
    From the Department of Radiology (Y.L., P.S., Y.Y., J.O., B.J., J.J.H., S.M.H., G.Z.), Stanford University, Stanford, Calfornia.
  • Yannan Yu
  • Jai Horsey
    Meharry Medical College (J.H.), Nashville, Tennessee.
  • Jiahong Ouyang
    Stanford University, Stanford CA 94305, USA.
  • Bin Jiang
    Department of Urology, Chinese People's Liberation Army General Hospital, Beijing, 100039 China.
  • Guang Yang
    National Heart and Lung Institute, Imperial College London, London, UK.
  • Jeremy J Heit
    Department of Neuroradiology, Stanford University, 300 Pasteur Drive, Stanford, CA 94305, USA.
  • Margy E McCullough-Hicks
    Department of Neurology (M.E.M.-H.), University of Minnesota Medical School, Minneapolis, Minnesota.
  • Stephen M Hugdal
    From the Department of Radiology (Y.L., P.S., Y.Y., J.O., B.J., J.J.H., S.M.H., G.Z.), Stanford University, Stanford, Calfornia.
  • Max Wintermark
    Department of Radiology, Stanford University, Stanford, California, USA.
  • Patrik Michel
    3 Department of Radiology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland.
  • David S Liebeskind
    From the Biocomplexity Institute (V.A., R.Z.), Department of Industrial and Systems Engineering (G.T.), and Nutritional Immunology and Molecular Medicine Laboratory, Biocomplexity Institute (R.H., J.B.-R.), Virginia Tech, Blacksburg; Biomedical and Translational Informatics Institute (V.A.) and Department of Neurology (R.Z.), Geisinger Health System, Danville, PA; Department of Neurology, University of Tennessee Health Science Center, Memphis (N.G., G.T., L.E., J.E.M., A.W.A., A.V.A., R.Z.); Second Department of Neurology, "Attikon University Hospital," School of Medicine, University of Athens, Greece (N.H.); and Neurovascular Imaging Research Core and UCLA Stroke Center, University of California, Los Angeles (D.S.L.).
  • Maarten G Lansberg
    1 Stanford Stroke Center, Stanford University Medical Center, Stanford, CA, USA.
  • Gregory W Albers
    1 Stanford Stroke Center, Stanford University Medical Center, Stanford, CA, USA.
  • Greg Zaharchuk
    Stanford University, Stanford CA 94305, USA.