Clinical value of machine learning-based interpretation of I-123 FP-CIT scans to detect Parkinson's disease: a two-center study.

Journal: Annals of nuclear medicine
Published Date: Mar 1, 2021

Abstract

PURPOSE: Our aim was to develop and validate a machine learning (ML)-based approach for interpretation of I-123 FP-CIT SPECT scans to discriminate Parkinson's disease (PD) from non-PD and to determine its generalizability and clinical value in two centers.

Authors

  • M Dotinga
    Department of Nuclear Medicine, Isala Hospital, PO Box 10400, 8000 GK, Zwolle, The Netherlands.
  • J D van Dijk
    Department of Nuclear Medicine, Isala Hospital, PO Box 10400, 8000 GK, Zwolle, The Netherlands. jorisvdijk@gmail.com.
  • B N Vendel
    Department of Nuclear Medicine, Isala Hospital, PO Box 10400, 8000 GK, Zwolle, The Netherlands.
  • C H Slump
    MIRA: Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands.
  • A T Portman
    Department of Neurology, Treant Zorggroep, Emmen, The Netherlands.
  • J A van Dalen
    Department of Medical Physics, Isala Hospital, Zwolle, The Netherlands.

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