Medscape March 14, 2025
Edited by Gargi Mukherjee

TOPLINE:

A deep learning–based artificial intelligence (AI) system detected 75.1% of airway nodules, with 0.25 false positives per scan in patients without airway nodules. The system achieved an increased sensitivity of 79% in detecting tumorous nodules, including subtle cases often missed by radiologists.

METHODOLOGY:

  • Researchers retrospectively analysed a dataset of 320 chest and chest-abdomen CT scans, including patients with airway nodules (n = 160; median age, 64 years; 58 women) and those without airway nodules (n = 160; median age, 60 years; 80 women).
  • An airway nodule was defined as a focal opacity primarily confined within the lumen of the airway (bronchus or trachea).
  • Primary cancers were verified through bronchoscopy with biopsy or cytologic testing. The malignancy status of...

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