Comparison of Two Deep Learning Models and Their Combination for 1-year Lung Cancer Detection in Two Screening Cohorts
Sybil and a Medical Open Network for Artificial Intelligence (MONAI)–based nodule model demonstrated stable discrimination for 1-year lung cancer detection across geographically distinct screening cohorts. A prespecified combination of Sybil and MONAI-derived nodule features achieved high-sensitivity triage while correctly classifying a substantial proportion of noncancer baseline low-dose CT examinations as negative.
Authors
- Morteza Naghavi (ORCID: https://orcid.org/0000-0001-8112-175X)
- Claudia I. Henschke (ORCID: https://orcid.org/0000-0002-6085-5305)
- Rozemarijn Vliegenthart (ORCID: https://orcid.org/0000-0002-7262-3376)
- Amir Azimi (ORCID: https://orcid.org/0000-0002-8317-7009)
- David F. Yankelevitz (ORCID: https://orcid.org/0000-0001-7364-4294)
- Rowena Yip (ORCID: https://orcid.org/0000-0002-6208-2780)
- José Alberto Neder (ORCID: https://orcid.org/0000-0002-8019-281X)
- Juan Pablo de-Torres (ORCID: https://orcid.org/0000-0003-1231-4894)
- Anthony P. Reeves (ORCID: https://orcid.org/0000-0002-1451-3080)
- Jessica González (ORCID: https://orcid.org/0000-0002-6847-5315)
- Thomas Atlas (ORCID: https://orcid.org/0009-0004-1060-9271)
- Chenyu Zhang (ORCID: https://orcid.org/0000-0002-9799-8772)
- Ali Hashemi
- Luis Seijo
- Seyed Reza Mirjalili
- Kyle Atlas (ORCID: https://orcid.org/0000-0003-3061-3855)
- Mohammad Mozafary
Institutions
- University Medical Center Groningen (NL)
- University of Groningen (NL)
- Queen's University (CA)
- Cornell University (US)
- Instituto de Salud Carlos III (ES)
- Hospital Universitari Arnau de Vilanova (ES)
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (ES)
- Centro de Investigación Biomédica en Red (ES)
- Clinica Universidad de Navarra (ES)
- Kingston Health Sciences Centre (CA)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Radiology Cardiothoracic Imaging
- Published
- 2026-11-05
- DOI
- https://doi.org/10.1148/ryct.260087
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00