2020/12/28 by Anne‐Ségolène Cottereau, Christophe Nioche, Cottereau, Anne-Ségolène +13
Medicine · #FOS: Physical sciences #Lymphoma Diagnosis and Treatment #Medical Imaging Techniques and Applications #Medical Physics (physics.med-ph) #Radiomics and Machine Learning in Medical Imaging #Sarcoma Diagnosis and Treatment
paper · pdf · doi:10.48550/arxiv.2012.14179
openalex publication_date 2020/12/28 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
We assessed the predictive value of new radiomic features characterizing the\nlesion dissemination in baseline 18F-FDG PET and tested whether combining them\nwith baseline metabolic tumour volume (MTV) could improve prediction of\nprogression free survival (PFS) and overall survival (OS) in diffuse large B\ncell lymphoma (DLBCL) patients.\n