An artificial intelligence algorithm for pulmonary embolism detection on polychromatic computed tomography: performance on virtual monochromatic images.

Journal: European radiology
Published Date: Aug 5, 2023

Abstract

OBJECTIVES: Virtual monochromatic images (VMI) are increasingly used in clinical practice as they improve contrast-to-noise ratio. However, due to their different appearances, the performance of artificial intelligence (AI) trained on conventional CT images may worsen. The goal of this study was to assess the performance of an established AI algorithm trained on conventional polychromatic computed tomography (CT) images (CPI) to detect pulmonary embolism (PE) on VMI.

Authors

  • Eline Langius-Wiffen
    Department of Radiology, Isala Hospital, Dr. Van Heesweg 2, 8025 AB, Zwolle, The Netherlands. elinelangius@gmail.com.
  • Ingrid M Nijholt
    Department of Radiology and Nuclear Medicine, Isala, P.O. Box 10400, 8000 GK Zwolle, The Netherlands.
  • Rogier A van Dijk
    Department of Radiology, Isala Hospital, Dr. Van Heesweg 2, 8025 AB, 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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