18F-FDG PET radiomic analysis to predict outcomes in metastatic melanoma treated with immune checkpoint inhibitors
The MEL-RAD radiomic model based on pre-treatment FDG-PET/CT offers a non-invasive biomarker to stratify metastatic CM patients treated with immunotherapy.
Authors
- Coline Le Meur
- François Salmon
- M. Étienne
- Olivier Pradier
- Délphine Legoupil (ORCID: https://orcid.org/0000-0002-1194-7668)
- C. Leleu
- Romain Floch
- Ronan Abgral (ORCID: https://orcid.org/0000-0002-5585-2564)
- David Bourhis (ORCID: https://orcid.org/0000-0001-8224-2027)
- Georges-Philippe Fontaine
- Karim Amrane
- Laurent Misery
- Vincent Bourbonne
- Christian Berthou
Institutions
- Inserm (FR)
- Université de Bretagne Occidentale (FR)
- Centre Hospitalier de Cornouaille (FR)
- Centre Hospitalier Régional Universitaire de Brest (FR)
- Laboratoire Interactions, Dynamiques et Lasers (FR)
- Institut de Biomécanique Humaine Georges Charpak (FR)
- Centre Hospitalier des Pays de Morlaix (FR)
- Laboratoire de Traitement de l'Information Médicale (FR)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2026-02-25
- DOI
- https://doi.org/10.3389/fimmu.2026.1642620
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00