Artificial Intelligence–based, Volumetric Assessment of the Bone Marrow Metabolic Activity in [18F]FDG PET/CT Predicts Survival in Multiple Myeloma

Christos Sachpekidis,Olof Enqvist,Johannes Ulén,Annette Kopp‑Schneider,Leyun Pan,Elias K. Mai,Marina Hajiyianni,Maximilian Merz,Marc S. Raab,Anna Jauch,Hartmut Goldschmidt,Lars Edenbrandt,Antonia Dimitrakopoulou‑Strauss

European Journal of Nuclear Medicine and Molecular Imaging（2025）

Cited 1|Views35

Key words

Multiple myeloma,Prognosis,Patient survival,[18F]FDG PET/CT,Deep learning,Artificial intelligence,Metabolic tumor volume (MTV),Total lesion glycolysis (TLG)

AI Read Science

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper

Chat Paper

Summary is being generated by the instructions you defined