Machine learning volumetry of ischemic brain lesions on CT after thrombectomy-prospective diagnostic accuracy study in ischemic stroke patients.

Journal: Neuroradiology
Published Date: Oct 1, 2020

Abstract

PURPOSE: Ischemic lesion volume (ILV) is an important radiological predictor of functional outcome in patients with anterior circulation stroke. Our aim was to assess the agreement between automated ILV measurements on NCCT using the Brainomix software and manual ILV measurements on diffusion-weighted imaging (DWI).

Authors

  • Jiri Kral
    Department of Neurology, Faculty Hospital Ostrava, 17. Listopadu 1790/5, 708 52, Ostrava-Poruba, Czech Republic.
  • Martin Cabal
    Department of Neurology, Faculty Hospital Ostrava, 17. Listopadu 1790/5, 708 52, Ostrava-Poruba, Czech Republic.
  • Linda Kasickova
    Department of Neurology, Faculty Hospital Ostrava, 17. Listopadu 1790/5, 708 52, Ostrava-Poruba, Czech Republic.
  • Jaroslav Havelka
    Department of Neuroradiology, Faculty Hospital Ostrava, Ostrava, Czech Republic.
  • Tomas Jonszta
    Department of Neuroradiology, Faculty Hospital Ostrava, Ostrava, Czech Republic.
  • Ondrej Volny
    International Clinical Research Centre, Stroke Research Program, St. Anne's University Hospital, Brno, Czech Republic.
  • Michal Bar
    Department of Neurology, Faculty Hospital Ostrava, 17. Listopadu 1790/5, 708 52, Ostrava-Poruba, Czech Republic. michal.bar@fno.cz.

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