Data-Driven Prognostication in Distal Medium Vessel Occlusions Using Explainable Machine Learning.

Journal: AJNR. American journal of neuroradiology
Published Date:

Abstract

BACKGROUND AND PURPOSE: Distal medium vessel occlusions (DMVOs) are estimated to cause acute ischemic stroke in 25%-40% of cases. Prognostic models can inform patient counseling and research by enabling outcome predictions. However, models designed specifically for DMVOs are lacking.

Authors

  • Mert Karabacak
    Department of Neurosurgery, Mount Sinai Health System, New York, New York, USA.
  • Burak Berksu Ozkara
    Department of Neuroradiology, MD Anderson Cancer Center, Houston, TX, USA.
  • Tobias D Faizy
    Department of Neuroradiology, Stanford University, 300 Pasteur Drive, Stanford, CA 94305, USA.
  • Trevor Hardigan
    From the Departments of Neurosurgery (M.K., T.H., K.M., J.M.), Mount Sinai Health System, New York, New York.
  • Jeremy J Heit
    Department of Neuroradiology, Stanford University, 300 Pasteur Drive, Stanford, CA 94305, USA.
  • Dhairya A Lakhani
    Russell H. Morgan Department of Radiology and Radiological Sciences (D.A.L., V.S.Y.), Johns Hopkins Medicine, Baltimore, Maryland.
  • Konstantinos Margetis
    Department of Neurosurgery, Mount Sinai Health System, New York, New York, USA.
  • J Mocco
    Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, USA.
  • Kambiz Nael
    Department of Radiology, University of California, Los Angeles, Los Angeles, CA, USA.
  • Max Wintermark
    Department of Radiology, Stanford University, Stanford, California, USA.
  • Vivek S Yedavalli
    Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Hospital, Baltimore, Maryland, USA.