Pierre Decazes, Samy Ammari, Younes Belkouchi, Léo Mottay, Littisha Lawrance, Antoine de Prévia, Hugues Talbot, Siham Farhane, Paul-Henry Cournède, Aurelien Marabelle, Florian Guisier, David Planchard, Tony Ibrahim, Caroline Robert, Fabrice Barlesi, Pierre Vera, Nathalie Lassau
BACKGROUND: Our aim was to explore the prognostic value of anthropometric parameters in a large population of patients treated with immunotherapy. METHODS: We retrospectively included 623 patients with advanced non-small cell lung cancer (NSCLC) (n=318) or melanoma (n=305) treated by an immune-checkpoint-inhibitor having a pretreatment (thorax-)abdomen-pelvis CT scan. An external validation cohort of 55 patients with NSCLC was used. Anthropometric parameters were measured three-dimensionally (3D) by a deep learning software (Anthropometer3DNet) allowing an automatic multislice measurement of lean body mass, fat body mass (FBM), muscle body mass (MBM), visceral fat mass (VFM) and sub-cutaneous fat mass (SFM)...
September 2023: Journal for Immunotherapy of Cancer