An AI deep learning algorithm for detecting pulmonary nodules on ultra-low-dose CT in an emergency setting: a reader study.

Journal: European radiology experimental
PMID:

Abstract

BACKGROUND: To retrospectively assess the added value of an artificial intelligence (AI) algorithm for detecting pulmonary nodules on ultra-low-dose computed tomography (ULDCT) performed at the emergency department (ED).

Authors

  • Inge A H van den Berk
    From the Department of Medical Imaging, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA Nijmegen, the Netherlands (K.G.v.L., S.S., M.J.C.M.R., M.H., C.M.S.P., M.d.R., B.v.G., B.H.J.G., J.M.); Department of Radiology (M.J.C.M.R.) and Department of MICT and Imaging Techniques (T.S.), Jeroen Bosch Hospital, 's-Hertogenbosch, the Netherlands; Department of Radiology, Meander Medical Centre, Amersfoort, the Netherlands (C.M.S.P., M.V.); Department of Radiology, Hospital Gelderse Vallei, Ede, the Netherlands (B.M., M.M.V.); Department of Radiology, Noordwest Ziekenhuisgroep, Alkmaar, the Netherlands (C.F.v.D., P.A.); Department of Radiology & Nuclear Medicine, Máxima Medical Center, Eindhoven, the Netherlands (E.L.K., F.v.d.W.); Department of Radiology, Ziekenhuisgroep Twente, Almelo, the Netherlands (E.V.H., F.M.t.B., M.M., O.V., Y.H.G.v.B.F.); Center for Radiology and Nuclear Medicine, Deventer Hospital, Deventer, the Netherlands (E.L.V., J.M.L., M.N.); Department of Radiology, Catharina Hospital, Eindhoven, the Netherlands (E.M.J.M., J.N., K.M.E.M.); Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands (F.A.A.M.H.); Department of Radiology, Zaans Medisch Centrum, Zaandam, the Netherlands (F.v.H.); Department of Radiology and Nuclear Medicine, Amsterdam UMC-Location University of Amsterdam, Amsterdam, the Netherlands (I.A.H.v.d.B.); Department of Radiology & Nuclear Medicine, Haaglanden Medical Center, The Hague, the Netherlands (J.H.); Department of Radiology, Amsterdam University Medical Center, Amsterdam, the Netherlands (J.I.M.L.V.); Department of Radiology and Nuclear Medicine, Rijnstate, Arnhem, the Netherlands (L.N.D.); Department of Radiology, St Antonius Hospital, Nieuwegein, the Netherlands (L.C.M.L., S.A.); Department of Radiology, Isala Hospital, Zwolle, the Netherlands (M.F.B.); and Department of Radiology, Groene Hart Hospital, Gouda, the Netherlands (S.M.B.).
  • Colin Jacobs
    Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Maadrika M N P Kanglie
    Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Onno M Mets
    Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Miranda Snoeren
    Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.
  • Alexander D Montauban van Swijndregt
    Department of Radiology and Nuclear Medicine, OLVG, Amsterdam, The Netherlands.
  • Elisabeth M Taal
    Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Tjitske S R van Engelen
    Division of Infectious Diseases, Department of Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Jan M Prins
    Division of Infectious Diseases, Department of Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Shandra Bipat
    Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Patrick M M Bossuyt
    Department of Epidemiology & Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Jaap Stoker
    Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers - location AMC, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam University Medical Centers - location AMC, Amsterdam, the Netherlands.