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

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

Background. 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....

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Bibliographic Details
Main Authors: Maxime Jullien, Benoit Tessoulin, Hervé Ghesquières, Lucie Oberic, Franck Morschhauser, Hervé Tilly, Vincent Ribrag, Thierry Lamy, Catherine Thieblemont, Bruno Villemagne, Rémy Gressin, Kamal Bouabdallah, Corinne Haioun, Gandhi Damaj, Luc-Matthieu Fornecker, Jean-Marc Schiano De Colella, Pierre Feugier, Olivier Hermine, Guillaume Cartron, Christophe Bonnet, Marc André, Clément Bailly, René-Olivier Casasnovas, Steven Le Gouill
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Cancers
Subjects:
diffuse large B-cell lymphoma
muscle depletion
sarcopenia
muscle hypodensity
U-NET
convolutional neural network
Online Access:https://www.mdpi.com/2072-6694/13/18/4503

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https://www.mdpi.com/2072-6694/13/18/4503

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