Deep learning-based model for difficult transfemoral access prediction compared with human assessment in stroke thrombectomy.

Journal: Journal of neurointerventional surgery
Published Date:

Abstract

BACKGROUND: In mechanical thrombectomy (MT), extracranial vascular tortuosity is among the main determinants of procedure duration and success. Currently, no rapid and reliable method exists to identify the anatomical features precluding fast and stable access to the cervical vessels.

Authors

  • Pere Canals
    Stroke Unit, Neurology, Vall d'Hebron University Hospital, Barcelona, Spain pere.canals@vhir.org.
  • Álvaro Garcia-Tornel
    Vall d'Hebron Research Institute, Passeig de la Vall d'Hebron, Barcelona, Spain (G.C., M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera).
  • Manuel Requena
    Vall d'Hebron Research Institute, Passeig de la Vall d'Hebron, Barcelona, Spain (G.C., M. Ribo, M.O.-G., M.M., Á.G.-T., M. Requena, J.P., J.J., D.R.-L., N.R.-V., F.R., B.T., C.A.M., M. Rubiera).
  • Magda Jabłońska
    Stroke Unit, Neurology, Vall d'Hebron University Hospital, Barcelona, Spain.
  • Jiahui Li
    College of Communication Engineering, Jilin University, Changchun, Jilin China.
  • Simone Balocco
    Department de Matemàtiques I Informàtica, Universitat de Barcelona, Barcelona, Spain.
  • Oliver Díaz
    VICOROB, Department of Computer Architecture and Technology, University of Girona, Spain; Department of Mathematics and Computer Science, University of Barcelona, Spain. Electronic address: oliver.diaz@ub.edu.
  • Alejandro Tomasello
    Neuroradiology, Vall d'Hebron University Hospital, Barcelona, Spain.
  • Marc Ribo
    Stroke Unit, Neurology Department, Hospital Vall d'Hebron, Departament de Medicina, Universitat Autònoma de Barcelona (M.O.-G., M.R.).