Artificial intelligence for the detection of airway nodules in chest CT scans
Question Incidental airway tumors are rare and are susceptible to being overlooked on chest CT. Findings An AI system can detect most benign and malignant airway nodules with an acceptable false positive rate, including nodules that have very subtle features. Clinical relevance An AI system shows potential for supporting radiologists in detecting airway tumors.
Authors
- Colin Jacobs (ORCID: https://orcid.org/0000-0003-1180-3805)
- Ward Hendrix (ORCID: https://orcid.org/0000-0002-3357-2959)
- Matthieu Rutten
- Mathias Prokop (ORCID: https://orcid.org/0000-0001-8157-8055)
- Bram van Ginneken (ORCID: https://orcid.org/0000-0003-2028-8972)
- Nils Hendrix (ORCID: https://orcid.org/0000-0003-3332-6245)
- Ernst T. Scholten (ORCID: https://orcid.org/0000-0002-1982-2763)
Institutions
- University Medical Center Groningen (NL)
- Radboud University Nijmegen (NL)
- Radboud University Medical Center (NL)
- Arq Psychotrauma Expert Group (NL)
- Radboud Institute for Molecular Life Sciences (NL)
- Jeroen Bosch Ziekenhuis (NL)
Publication Details
- Journal
- European Radiology
- Published
- 2025-03-05
- DOI
- https://doi.org/10.1007/s00330-025-11468-6
- Citations
- 1
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.52
Funders
- Radboud Universiteit
- Radboud Universitair Medisch Centrum
- Radboud Institute for Health Sciences
- National Cancer Institute