Deep-Learning Assessed Muscular Hypodensity Independently Predicts Mortality in DLBCL Patients Younger Than 60 Years.

Fiche publication

Date publication

septembre 2021




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


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


Cancers (Basel). 2021 Sep 7;13(18):