Deep-Learning Assessed Muscular Hypodensity Independently Predicts Mortality in DLBCL Patients Younger Than 60 Years.
Fiche publication
Date publication
septembre 2021
Journal
Cancers
Auteurs
Membres identifiés du Cancéropôle Est :
Dr CASASNOVAS Olivier, Pr FEUGIER Pierre, Pr FORNECKER Luc-Matthieu
Tous les auteurs :
Jullien M, Tessoulin B, Ghesquières H, Oberic L, Morschhauser F, Tilly H, Ribrag V, Lamy T, Thieblemont C, Villemagne B, Gressin R, Bouabdallah K, Haioun C, Damaj G, Fornecker LM, Schiano De Colella JM, Feugier P, Hermine O, Cartron G, Bonnet C, André M, Bailly C, Casasnovas RO, Le Gouill S
Lien Pubmed
Résumé
Muscle depletion (MD) assessed by computed tomography (CT) has been shown to be a predictive marker in solid tumors, but has not been assessed in non-Hodgkin's lymphomas. Despite software improvements, MD measurement remains highly time-consuming and cannot be used in clinical practice.
Mots clés
U-NET, convolutional neural network, diffuse large B-cell lymphoma, muscle depletion, muscle hypodensity, sarcopenia
Référence
Cancers (Basel). 2021 Sep 7;13(18):