Feasibility of AI as first reader in the 4-IN-THE-LUNG-RUN lung cancer screening trial: impact on negative-misclassifications and clinical referral rate.

Journal: European journal of cancer (Oxford, England : 1990)
Published Date: Dec 28, 2024

Abstract

BACKGROUND: Lung cancer screening (LCS) with low-dose CT (LDCT) reduces lung-cancer-related mortality in high-risk individuals. AI can potentially reduce radiologist workload as first-read-filter by ruling-out negative cases. The feasibility of AI as first reader was evaluated in the European 4-IN-THE-LUNG-RUN (4ITLR) trial, comparing its negative-misclassifications (NMs) to those of radiologists and the impact on referral rates.

Authors

  • Anna N H Walstra
    Institute for Diagnostic Accuracy, Groningen, the Netherlands.
  • Harriet L Lancaster
    Institute for Diagnostic Accuracy, Groningen, the Netherlands; University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands.
  • Marjolein A Heuvelmans
    University Medical Center Groningen, Department of Epidemiology, University of Groningen, 9700 RB Groningen, Netherlands; Department of Pulmonology, Medisch Spectrum Twente, Enschede, Netherlands. Electronic address: m.a.heuvelmans@umcg.nl.
  • Carlijn M van der Aalst
  • Juul Hubert
    Department of Public Health, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands.
  • Dana Moldovanu
    Department of Public Health, Erasmus MC - University Medical Center Rotterdam, Rotterdam, the Netherlands.
  • Sytse F Oudkerk
    Radiology Department, Link2Care Clinics, Bilthoven, the Netherlands.
  • Daiwei Han
    University Medical Center Groningen, Department of Radiology, University of Groningen, Groningen, The Netherlands.
  • Jan Willem C Gratama
  • Mario Silva
    Department of Medicine and Surgery, University of Parma, Parma, Italy.
  • Harry J de Koning
  • Matthijs Oudkerk
    University Medical Center, Groningen, The Netherlands.

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