An AI deep learning algorithm for detecting pulmonary nodules on ultra-low-dose CT in an emergency setting: a reader study
An AI deep learning algorithm was tested on 870 ULDCT examinations acquired in the ED. AI detected 5.8 times more pulmonary nodules requiring follow-up (true positives). AI resulted in the detection of 42.9 times more false positive results, clustered in patients with major abnormalities. AI in the ED setting may aid in early pulmonary cancer detection with a high trade-off in terms of false positives.
Authors
- Saskia Middeldorp (ORCID: https://orcid.org/0000-0002-1006-6420)
- Onno M. Mets (ORCID: https://orcid.org/0000-0002-6031-4904)
- Elisabeth M. Taal
- Maadrika M. N. P. Kanglie (ORCID: https://orcid.org/0000-0001-6786-5859)
- Johannes A. Romijn (ORCID: https://orcid.org/0000-0003-0676-0409)
- Colin Jacobs (ORCID: https://orcid.org/0000-0003-1180-3805)
- Tjitske S. R. van Engelen (ORCID: https://orcid.org/0000-0001-6186-2550)
- Jaap Stoker (ORCID: https://orcid.org/0000-0002-9822-3784)
- Ibtisam Yahya
- Jacqueline Otker
- Betty Frankemölle
- Elizabeth M. Taal
- Matthew Vogel (ORCID: https://orcid.org/0009-0005-5216-444X)
- Dorine Hulzebosch
- Alexander D. Montauban van Swijndregt
- Maeke J. Scheerder
- Brenda Elzer
- Shandra Bipat (ORCID: https://orcid.org/0000-0002-3214-2359)
- Antoinet J. N. Schoonderwoerd
- Frank F. Smithuis (ORCID: https://orcid.org/0000-0001-9210-7144)
- Alexander Montauban van Swijndregt
- Ludo F.M. Beenen (ORCID: https://orcid.org/0000-0001-9204-1026)
- Milan L. Ridderikhof (ORCID: https://orcid.org/0000-0002-1561-7252)
- Jan M. Prins (ORCID: https://orcid.org/0000-0002-5415-8933)
- Inge A. H. van den Berk (ORCID: https://orcid.org/0000-0001-8724-6502)
- Erwin Hoolwerf
- Mélanie A. Monraats
- Geert J. Streekstra (ORCID: https://orcid.org/0000-0002-5590-7633)
- Laura J. Schijf
- Dominique Bekebrede-Kaufman
- N. H. J. Lobé (ORCID: https://orcid.org/0000-0002-7991-5021)
- Peter A. Leenhouts (ORCID: https://orcid.org/0000-0002-6840-6627)
- Saskia Kolkman
- Jouke T. Annema (ORCID: https://orcid.org/0000-0001-5010-2812)
- Glenn de Vries
- Maarten Groenink (ORCID: https://orcid.org/0000-0002-5837-0472)
- Adriënne van Randen (ORCID: https://orcid.org/0009-0003-1753-8755)
- Miranda Snoeren (ORCID: https://orcid.org/0000-0002-7613-5433)
- Jan S. K. Luitse
Institutions
- Radboud University Nijmegen (NL)
- Dutch Cancer Society (NL)
- Radboud University Medical Center (NL)
- OLVG (NL)
- Amsterdam Neuroscience (NL)
- GGD Amsterdam (NL)
- Amsterdam University Medical Centers (NL)
- Spaarne Gasthuis (NL)
- Cancer Center Amsterdam (NL)
- Amsterdam University of Applied Sciences (NL)
- University of Amsterdam (NL)
Publication Details
- Journal
- European Radiology Experimental
- Published
- 2024-11-20
- DOI
- https://doi.org/10.1186/s41747-024-00518-1
- Citations
- 3
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.26
Funders
- Amsterdam University Medical Centers
- ZonMw