Evaluation of a deep-learning segmentation model for patients with colorectal cancer liver metastases (COALA) in the radiological workflow.

Journal: Insights into imaging
Published Date:

Abstract

OBJECTIVES: For patients with colorectal liver metastases (CRLM), total tumor volume (TTV) is prognostic. A deep-learning segmentation model for CRLM to assess TTV called COlorectal cAncer Liver metastases Assessment (COALA) has been developed. This study evaluated COALA's performance and practical utility in the radiological picture archiving and communication system (PACS). A secondary aim was to provide lessons for future researchers on the implementation of artificial intelligence (AI) models.

Authors

  • Michiel Zeeuw
    Department of Surgery, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands. j.m.zeeuw@amsterdamumc.nl.
  • Jacqueline Bereska
    Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Marius Strampel
    Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Luuk Wagenaar
    Department of Biomedical Engineering and Physics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Boris Janssen
    Department of Surgery, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Henk Marquering
    Biomedical Engineering and Physics, Amsterdam UMC, Location AMC, Meibergdreef 15, 1105 AZ Amsterdam, the Netherlands; Radiology & Nuclear Medicine, Amsterdam UMC, Location AMC, Meibergdreef 15, 1105 AZ Amsterdam, the Netherlands.
  • Ruby Kemna
    Department of Surgery, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV, Amsterdam, the Netherlands.
  • Jan Hein van Waesberghe
    Cancer Center Amsterdam, Amsterdam, The Netherlands.
  • Janneke van den Bergh
    Cancer Center Amsterdam, Amsterdam, The Netherlands.
  • Irene Nota
    Cancer Center Amsterdam, Amsterdam, The Netherlands.
  • Shira Moos
    Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
  • Yung Nio
    Cancer Center Amsterdam, Amsterdam, The Netherlands.
  • Marnix Kop
    Cancer Center Amsterdam, Amsterdam, The Netherlands.
  • Jakob Kist
    Cancer Center Amsterdam, Amsterdam, The Netherlands.
  • Femke Struik
    Cancer Center Amsterdam, Amsterdam, The Netherlands.
  • Nina Wesdorp
    Department of Surgery, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Jules Nelissen
    Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Katinka Rus
    Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
  • Alexandra de Sitter
    From the MS Center Amsterdam (H.V., A.d.S., V.W.), Amsterdam Neuroscience, Department of Radiology and Nuclear Medicine, Amsterdam UMC (M.P.), the Netherlands; Wellcome Centre for Integrative Neuroimaging (WIN), FMRIB (M.J.), Nuffield Department of Clinical Neurosciences (NDCN), University of Oxford, UK; Human Imaging and Image Processing Core (D.L.P.), Center for Neuroscience and Regenerative Medicine, The Henry M. Jackson Foundation, Bethesda, MD; Center for Neurological Imaging (C.R.G.G.), Department of Radiology, Brigham and Women's Hospital, Boston, MA; Section of Neuroradiology (Department of Radiology) (D.P.), Vall d'Hebron University Hospital and Research Institute (VHIR), Autonomous University Barcelona, Spain; Neuroimaging Research Unit (M.A.R.), Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; AMIGO (M.J.C.), School of Biomedical Engineering and Imaging Sciences, King's College London; and Institutes of Neurology & Healthcare Engineering (F.B.), UCL London, UK.
  • 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.
  • Joost Huiskens
    SAS Institute B.V, Huizen, The Netherlands.
  • Inez Verpalen
    Cancer Center Amsterdam, Amsterdam, The Netherlands.
  • Geert Kazemier
    Department of Surgery, VU University Medical Center, Cancer Center Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands.

Keywords

No keywords available for this article.