Deep Learning Based Software to Identify Large Vessel Occlusion on Noncontrast Computed Tomography.

Journal: Stroke
PMID: 32842922

Abstract

BACKGROUND AND PURPOSE: Reliable recognition of large vessel occlusion (LVO) on noncontrast computed tomography (NCCT) may accelerate identification of endovascular treatment candidates. We aim to validate a machine learning algorithm (MethinksLVO) to identify LVO on NCCT.

Authors

  • Marta Olive-Gadea
    Stroke Unit, Neurology Department, Hospital Vall d'Hebron, Departament de Medicina, Universitat Autònoma de Barcelona (M.O.-G., M.R.).
  • Carlos Crespo
    Methinks Software, Barcelona, Spain (C.C., C.G., C.M.).
  • Cristina Granes
    Methinks Software, Barcelona, Spain (C.C., C.G., C.M.).
  • Maria Hernandez-Perez
    Stroke Unit, Hospital Germans Trias i Pujol, Badalona, Spain (M.H.-P., N.P.d.l.O.).
  • Natalia Pérez de la Ossa
    Stroke Unit, Hospital Germans Trias i Pujol, Badalona, Spain (M.H.-P., N.P.d.l.O.).
  • Carlos Laredo
    Comprehensive Stroke Center, Hospital Clínic, Barcelona, Spain (C.L., X.U.).
  • Xabier Urra
    Comprehensive Stroke Center, Hospital Clínic, Barcelona, Spain (C.L., X.U.).
  • Juan Carlos Soler
    Radiology Department, Hospital Clínic, Barcelona, Spain (J.C.S., A.S.).
  • Alexander Soler
    Radiology Department, Hospital Clínic, Barcelona, Spain (J.C.S., A.S.).
  • Paloma Puyalto
    Radiology Department, Hospital Germans Trias i Pujol, Badalona, Spain (P.P., P.C.).
  • Patricia Cuadras
    Radiology Department, Hospital Germans Trias i Pujol, Badalona, Spain (P.P., P.C.).
  • Cristian Marti
    Methinks Software, Barcelona, Spain (C.C., C.G., C.M.).
  • Marc Ribo
    Stroke Unit, Neurology Department, Hospital Vall d'Hebron, Departament de Medicina, Universitat Autònoma de Barcelona (M.O.-G., M.R.).

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