A deep learning analysis of stroke onset time prediction and comparison to DWI-FLAIR mismatch.

Journal: NeuroImage. Clinical
Published Date:

Abstract

INTRODUCTION: When time since stroke onset is unknown, DWI-FLAIR mismatch rating is an established technique for patient stratification. A visible DWI lesion without corresponding parenchymal hyperintensity on FLAIR suggests time since onset of under 4.5 h and thus a potential benefit from intravenous thrombolysis. To improve accuracy and availability of the mismatch concept, deep learning might be able to augment human rating and support decision-making in these cases.

Authors

  • Ela Marie Z Akay
    Charité Lab for Artificial Intelligence in Medicine (CLAIM), Charité Universitätsmedizin Berlin, Berlin, Germany. Electronic address: ela-marie.akay@charite.de.
  • Jana Rieger
    Charité Lab for Artificial Intelligence in Medicine (CLAIM), Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Ricardo Schöttler
    Charité Lab for Artificial Intelligence in Medicine (CLAIM), Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Jonas Behland
    CLAIM - Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Raphael Schymczyk
    Charité Lab for Artificial Intelligence in Medicine (CLAIM), Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Ahmed A Khalil
    Centre for Stroke Research Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Ivana Galinovic
    Centre for Stroke Research Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Jan Sobesky
    Centre for Stroke Research Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Jochen B Fiebach
    Centre for Stroke Research Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Vince I Madai
    CLAIM - Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Adam Hilbert
    CLAIM - Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany.
  • Dietmar Frey
    CLAIM - Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany.