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Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic stroke

Author

Listed:
  • Gianluca Brugnara

    (Heidelberg University Hospital
    Heidelberg University Hospital)

  • Michael Baumgartner

    (German Cancer Research Center (DKFZ)
    Helmholtz Imaging
    Heidelberg University)

  • Edwin David Scholze

    (Heidelberg University Hospital
    Heidelberg University Hospital)

  • Katerina Deike-Hofmann

    (Bonn University Hospital
    German Center for Neurodegenerative Diseases, DZNE)

  • Klaus Kades

    (German Cancer Research Center (DKFZ)
    Heidelberg University)

  • Jonas Scherer

    (German Cancer Research Center (DKFZ))

  • Stefan Denner

    (German Cancer Research Center (DKFZ)
    University of Heidelberg)

  • Hagen Meredig

    (Heidelberg University Hospital
    Heidelberg University Hospital)

  • Aditya Rastogi

    (Heidelberg University Hospital
    Heidelberg University Hospital)

  • Mustafa Ahmed Mahmutoglu

    (Heidelberg University Hospital
    Heidelberg University Hospital)

  • Christian Ulfert

    (Heidelberg University Hospital)

  • Ulf Neuberger

    (Heidelberg University Hospital)

  • Silvia Schönenberger

    (Heidelberg University Hospital)

  • Kai Schlamp

    (Thoraxklinik at University of Heidelberg)

  • Zeynep Bendella

    (Bonn University Hospital)

  • Thomas Pinetz

    (University of Bonn)

  • Carsten Schmeel

    (Bonn University Hospital
    German Center for Neurodegenerative Diseases, DZNE)

  • Wolfgang Wick

    (Heidelberg University Hospital)

  • Peter A. Ringleb

    (Heidelberg University Hospital)

  • Ralf Floca

    (German Cancer Research Center (DKFZ)
    National Center for Radiation Research in Oncology (NCRO))

  • Markus Möhlenbruch

    (Heidelberg University Hospital)

  • Alexander Radbruch

    (Bonn University Hospital
    German Center for Neurodegenerative Diseases, DZNE)

  • Martin Bendszus

    (Heidelberg University Hospital)

  • Klaus Maier-Hein

    (German Cancer Research Center (DKFZ)
    Heidelberg University Hospital)

  • Philipp Vollmuth

    (Heidelberg University Hospital
    Heidelberg University Hospital
    German Cancer Research Center (DKFZ))

Abstract

Swift diagnosis and treatment play a decisive role in the clinical outcome of patients with acute ischemic stroke (AIS), and computer-aided diagnosis (CAD) systems can accelerate the underlying diagnostic processes. Here, we developed an artificial neural network (ANN) which allows automated detection of abnormal vessel findings without any a-priori restrictions and in

Suggested Citation

  • Gianluca Brugnara & Michael Baumgartner & Edwin David Scholze & Katerina Deike-Hofmann & Klaus Kades & Jonas Scherer & Stefan Denner & Hagen Meredig & Aditya Rastogi & Mustafa Ahmed Mahmutoglu & Chris, 2023. "Deep-learning based detection of vessel occlusions on CT-angiography in patients with suspected acute ischemic stroke," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-40564-8
    DOI: 10.1038/s41467-023-40564-8
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