External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules.

Journal: Thorax
Published Date: Mar 5, 2020

Abstract

BACKGROUND: Estimation of the risk of malignancy in pulmonary nodules detected by CT is central in clinical management. The use of artificial intelligence (AI) offers an opportunity to improve risk prediction. Here we compare the performance of an AI algorithm, the lung cancer prediction convolutional neural network (LCP-CNN), with that of the Brock University model, recommended in UK guidelines.

Authors

  • David R Baldwin
    Respiratory Medicine, Nottingham University Hospitals, City Campus, Nottingham, UK david.baldwin@nuh.nhs.uk.
  • Jennifer Gustafson
    Radiology, Churchill Hospital, Oxford, UK.
  • Lyndsey Pickup
    Optellum Ltd, Oxford, UK.
  • Carlos Arteta
  • Petr Novotny
    Respiratory Medicine, Glenfield General Hospital, Leicester, UK.
  • Jérôme Declerck
    Siemens Molecular Imaging, Oxford, UK.
  • Timor Kadir
    Mirada Medical, Oxford, UK.
  • Catarina Figueiras
    Radiology, Churchill Hospital, Oxford, UK.
  • Albert Sterba
    Motol Teaching Hospital V, Prague, Czech Republic.
  • Alan Exell
    Oxford University Hospitals NHS Foundation Trust, Oxford, Oxfordshire, UK.
  • Vaclav Potesil
    Optellum Ltd, Oxford, UK.
  • Paul Holland
    Radiology, Nottingham University Hospitals NHS Trust, Nottingham, UK.
  • Hazel Spence
    Radiology, Nottingham University Hospitals NHS Trust, Nottingham, UK.
  • Alison Clubley
    Radiology, Nottingham University Hospitals NHS Trust, Nottingham, UK.
  • Emma O'Dowd
    Respiratory Medicine, Nottingham University Hospitals, City Campus, Nottingham, UK.
  • Matthew Clark
    Radiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
  • Victoria Ashford-Turner
    Respiratory Medicine, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
  • Matthew Ej Callister
    Respiratory Medicine, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
  • Fergus V Gleeson
    Radiology, Churchill Hospital, Oxford, UK.

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