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

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

https://www.ncbi.nlm.nih.gov/pubmed/34572728

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):