Machine learning-based approach reveals essential features for simplified TSPO PET quantification in ischemic stroke patients.

Journal: Zeitschrift fur medizinische Physik
PMID: 36682921

Abstract

INTRODUCTION: Neuroinflammation evaluation after acute ischemic stroke is a promising option for selecting an appropriate post-stroke treatment strategy. To assess neuroinflammation in vivo, translocator protein PET (TSPO PET) can be used. However, the gold standard TSPO PET quantification method includes a 90 min scan and continuous arterial blood sampling, which is challenging to perform on a routine basis. In this work, we determine what information is required for a simplified quantification approach using a machine learning algorithm.

Authors

  • Artem Zatcepin
    Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany. Current address: Department of Nuclear Medicine, University Hospital of LMU Munich, Marchioninistr. 15, 81377 Munich, Germany.
  • Anna Kopczak
    Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.
  • Adrien Holzgreve
    University Hospital, LMU Munich, Nuclear Medicine, Munich, Germany.
  • Sandra Hein
    Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.
  • Andreas Schindler
    Department of Neuroradiology, University Hospital, LMU Munich, Munich, Germany.
  • Marco Duering
    Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität LMU, Munich, Germany.
  • Lena Kaiser
    Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany.
  • Simon Lindner
    Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany.
  • Martin Schidlowski
    Department of Epileptology, University Hospital Bonn, Bonn, Germany; German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
  • Peter Bartenstein
    German Cancer Consortium, Heidelberg, Germany.
  • Nathalie Albert
    Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany.
  • Matthias Brendel
    Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany.
  • Sibylle I Ziegler

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