Clinical value of artificial intelligence in reducing PET image acquisition time: routine clinical validation using qualitative, quantitative, and radiomic analysis on a cohort of 282 patients undergoing [18F]FDG and [68Ga]Ga-PSMA-11 PET/CT
SubtlePET® improves the image quality of PET acquisitions performed with reduced acquisition times using [<sup>18</sup>F]FDG and [<sup>68</sup>Ga]Ga-PSMA. However, clinician confidence remains limited and, while denoised acquisitions preserve most radiomic features, others are altered, potentially limiting model transposability.
Authors
- M. Lacombe
- F. Lacoeuille
- C. Guillerminet
- A. Dambrain
- C. Bouron
- O. Morel
- P. A. Dufour
- A. Testard
- S. Girault
Institutions
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Centre de Recherche en Cancérologie et Immunologie Intégrée Nantes Angers (FR)
- Institut de Cancérologie de l'Ouest (FR)
- Université d'Angers (FR)
Publication Details
- Journal
- EJNMMI Physics
- Published
- 2026-02-18
- DOI
- https://doi.org/10.1186/s40658-026-00835-x
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00