Functional Outcome Prediction in Acute Ischemic Stroke Using a Fused Imaging and Clinical Deep Learning Model.

Journal: Stroke
Published Date: Jul 24, 2023

Abstract

BACKGROUND: Predicting long-term clinical outcome based on the early acute ischemic stroke information is valuable for prognostication, resource management, clinical trials, and patient expectations. Current methods require subjective decisions about which imaging features to assess and may require time-consuming postprocessing. This study's goal was to predict ordinal 90-day modified Rankin Scale (mRS) score in acute ischemic stroke patients by fusing a Deep Learning model of diffusion-weighted imaging images and clinical information from the acute period.

Authors

  • Yongkai Liu
    Department of Radiological Sciences, University of California, Los Angeles, California, USA.
  • Yannan Yu
  • 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.
  • Sophie Ostmeier
    Department of Radiology (Y.L., Y.Y., J.O., B.J., S.O., G.Z.).
  • 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.

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