Deep learning-based white matter lesion volume on CT is associated with outcome after acute ischemic stroke.

Journal: European radiology
PMID: 38285103

Abstract

BACKGROUND: Intravenous thrombolysis (IVT) before endovascular treatment (EVT) for acute ischemic stroke might induce intracerebral hemorrhages which could negatively affect patient outcomes. Measuring white matter lesions size using deep learning (DL-WML) might help safely guide IVT administration. We aimed to develop, validate, and evaluate a DL-WML volume on CT compared to the Fazekas scale (WML-Faz) as a risk factor and IVT effect modifier in patients receiving EVT directly after IVT.

Authors

  • Henk van Voorst
    Department of Radiology and Nuclear Medicine, Amsterdam UMC, location University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands. h.vanvoorst@amsterdamumc.nl.
  • Johanna Pitkänen
    Department of Neurology, University of Helsinki and Helsinki University Hospital, PO Box 302, 00029 HUS, Helsinki, Finland. johanna.pitkanen@hus.fi.
  • Laura van Poppel
    Department of Radiology and Nuclear Medicine, Amsterdam UMC, location University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
  • Lucas de Vries
    Department of Radiology and Nuclear Medicine, Amsterdam UMC, location University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
  • Mahsa Mojtahedi
    Department of Radiology and Nuclear Medicine, Amsterdam UMC, location University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
  • Laura Martou
    Department of Brain Sciences, Imperial College London, Charing Cross Hospital, London, England.
  • Bart J Emmer
    Department of Radiology and Nuclear Medicine, Amsterdam UMC, location University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
  • Yvo B W E M Roos
    Amsterdam UMC, Amsterdam, the Netherlands.
  • Robert van Oostenbrugge
    Department of Neurology, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center, Maastricht, The Netherlands.
  • Alida A Postma
    Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.
  • Henk A Marquering
    Department of Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, The Netherlands.
  • Charles B L M Majoie
    Department of Radiology and Nuclear Medicine, Academic Medical Center, Amsterdam, The Netherlands.
  • Sami Curtze
    Department of Neurology, University of Helsinki and Helsinki University Hospital, PO Box 302, 00029 HUS, Helsinki, Finland.
  • Susanna Melkas
    Department of Neurology, University of Helsinki and Helsinki University Hospital, PO Box 302, 00029 HUS, Helsinki, Finland.
  • Paul Bentley
    Division of Brain Sciences, Department of Medicine, Imperial College London, Fulham Palace Road, London W6 8RF, UK.
  • Matthan W A Caan
    Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands.

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