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The clinical impact of observer variability in lung nodule classification in children with Wilms tumour.

Jesper Sune BrokSusan ShelmerdineFrederikke DamsgaardAnne SmetsSabine IrtanSophie SwinsonVenus HedayatiJoseph JacobArjun NairMinou OostveenKathy Pritchard-JonesØystein Olsen
Published in: Pediatric blood & cancer (2022)
A significant intra-inter observer variation was found when measuring lung nodules on CT for patients with WT. This may have significant implications on treatment stratification, and thereby outcome, when applying a threshold of ≥3 mm for a lung nodule to dictate metastatic status.
Keyphrases
  • squamous cell carcinoma
  • small cell lung cancer
  • machine learning
  • young adults
  • deep learning
  • magnetic resonance imaging
  • contrast enhanced
  • image quality
  • magnetic resonance