Development and external validation of a FDG PET-based radiomics model predicting occult lymph node metastasis in non-small cell lung cancer patients
This study presents a radiomics-based predictive model for OLNM in localized NSCLC, validated across several retrospective independent cohorts. Subject to a prospective evaluation, the model could be used to refine clinical decision-making.
Authors
- Arnaud Uguen (ORCID: https://orcid.org/0000-0002-0230-2905)
- Pierre Lovinfosse
- V. Bourbonne
- Bernard Duysinx
- JN Choplain
- Ronan Abgral (ORCID: https://orcid.org/0000-0002-5585-2564)
- Romain Le Pennec
- François Lallemand (ORCID: https://orcid.org/0000-0003-0582-8010)
- Olivier Pradier
- R. Magwenzi
- M. Geier
- K. Pluchon
- F. Lucia
- M. Hatt
- R. Hustinx
Institutions
- Inserm (FR)
- University of Liège (BE)
- Université de Bretagne Occidentale (FR)
- Centre Hospitalier Régional Universitaire de Brest (FR)
- Laboratoire de Traitement de l'Information Médicale (FR)
Publication Details
- Journal
- European Journal of Nuclear Medicine and Molecular Imaging
- Published
- 2026-01-16
- DOI
- https://doi.org/10.1007/s00259-025-07740-y
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00