The role of computer-assisted radiographer reporting in lung cancer screening programmes.
Helen HallMamta RuparelSamantha L QuaifeJennifer L DicksonCarolyn HorstSophie TisiJames BattyNicholas WoznitzaAsia AhmedStephen BurkePenny ShawMay Jan SooMagali TaylorNeal NavaniAngshu BhowmikDavid R BaldwinStephen W DuffyAnand DevarajArjun NairSamuel M JanesPublished in: European radiology (2022)
• Successful roll-out of mass screening programmes for lung cancer depends on timely, accurate CT scan reporting, placing a demand on existing radiology resources. • This observational cohort study examines the accuracy of trained radiographers using computer-assisted detection (CADe) software to report lung cancer screening CT scans, as a potential means of supporting reporting workflows in LCS programmes. • CADe-supported radiographers were less sensitive than radiologists at identifying clinically significant pulmonary nodules, but had a low false-positive rate and good sensitivity for detection of confirmed cancers.
Keyphrases
- computed tomography
- dual energy
- adverse drug
- contrast enhanced
- artificial intelligence
- image quality
- label free
- positron emission tomography
- loop mediated isothermal amplification
- pulmonary hypertension
- magnetic resonance imaging
- emergency department
- high resolution
- deep learning
- magnetic resonance
- resistance training
- human health
- electronic health record