External validation of the RSNA 2020 pulmonary embolism detection challenge winning deep learning algorithm.

Journal: European journal of radiology
PMID: 38401407

Abstract

PURPOSE: To evaluate the diagnostic performance and generalizability of the winning DL algorithm of the RSNA 2020 PE detection challenge to a local population using CTPA data from two hospitals.

Authors

  • Eline Langius-Wiffen
    Department of Radiology, Isala Hospital, Dr. Van Heesweg 2, 8025 AB, Zwolle, The Netherlands. elinelangius@gmail.com.
  • Derk J Slotman
    Department of Radiology, Isala Hospital, Zwolle, The Netherlands. d.j.slotman@isala.nl.
  • Jorik Groeneveld
    Department of Radiology, Isala Hospital, Zwolle, the Netherlands.
  • Jochen Ac van Osch
    Department of Medical Physics, Isala Hospital, Zwolle, the Netherlands.
  • Ingrid M Nijholt
    Department of Radiology and Nuclear Medicine, Isala, P.O. Box 10400, 8000 GK Zwolle, The Netherlands.
  • Erwin de Boer
    Department of Radiology, Isala Hospital, Zwolle, The Netherlands.
  • Jacqueline Nijboer-Oosterveld
    Department of Radiology, Isala Hospital, Dr. Van Heesweg 2, 8025 AB, Zwolle, The Netherlands.
  • Wouter B Veldhuis
    Department of Radiology, University Medical Center Utrecht, Utrecht University, Utrecht, 3584 CX, the Netherlands.
  • Pim A de Jong
    University Medical Center, Utrecht, The Netherlands.
  • Martijn F Boomsma
    Department of Radiology and Nuclear Medicine, Isala, P.O. Box 10400, 8000 GK Zwolle, The Netherlands.

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