Hemodynamic factors of spontaneous vertebral artery dissecting aneurysms assessed with numerical and deep learning algorithms: Role of blood pressure and asymmetry.

Journal: Neuro-Chirurgie
PMID: 38280371

Abstract

BACKGROUND AND OBJECTIVES: The pathophysiology of spontaneous vertebral artery dissecting aneurysms (SVADA) is poorly understood. Our goal is to investigate the hemodynamic factors contributing to their formation using computational fluid dynamics (CFD) and deep learning algorithms.

Authors

  • Tristan Martin
    Division of Neurosurgery, Department of Surgery, University of Montreal Hospital Center 1000, rue St-Denis Montréal, QC H2X 0C, Canada.
  • Gilles El Hage
    Division of Neurosurgery, Department of Surgery, University of Montreal Hospital Center 1000, rue St-Denis Montréal, QC H2X 0C, Canada.
  • Chiraz Chaalala
    Division of Neurosurgery, Department of Surgery, University of Montreal Hospital Center 1000, rue St-Denis Montréal, QC H2X 0C, Canada.
  • Jean-Baptiste Peeters
    Division of Neurosurgery, Department of Surgery, University of Montreal Hospital Center 1000, rue St-Denis Montréal, QC H2X 0C, Canada.
  • Michel W Bojanowski
    Division of Neurosurgery, Department of Surgery, University of Montreal Hospital Center 1000, rue St-Denis Montréal, QC H2X 0C, Canada. Electronic address: michel.bojanowski.med@ssss.gouv.qc.ca.

Keywords

External Resources

Popular Topics
Recent Journals