Machine learning prediction of malignant middle cerebral artery infarction after mechanical thrombectomy for anterior circulation large vessel occlusion.

Journal: Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
PMID: 36652789

Abstract

OBJECTIVE: Prediction of malignant middle cerebral artery infarction (MMI) could identify patients for early intervention. We trained and internally validated a ML model that predicts MMI following mechanical thrombectomy (MT) for ACLVO.

Authors

  • Haydn Hoffman
    Department of Neurosurgery, University of California Los Angeles, 300 Stein Plaza, Suite 536, Los Angeles, CA 90095-6901, USA.
  • Jacob S Wood
    Department of Neurosurgery, State University of New York Upstate Medical University, Syracuse, NY, USA.
  • John R Cote
    Department of Neurosurgery, State University of New York Upstate Medical University, Syracuse, NY, USA.
  • Muhammad S Jalal
    Department of Neurosurgery, State University of New York Upstate Medical University, Syracuse, NY, USA.
  • Hesham E Masoud
    Department of Neurology, State University of New York Upstate Medical University, Syracuse, NY, USA.
  • Grahame C Gould
    Department of Neurosurgery, State University of New York Upstate Medical University, Syracuse, NY, USA.

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