Deep-Learning Assessed Muscular Hypodensity ...
Type de document :
Article dans une revue scientifique: Article original
DOI :
PMID :
URL permanente :
Titre :
Deep-Learning Assessed Muscular Hypodensity Independently Predicts Mortality in DLBCL Patients Younger Than 60 Years.
Auteur(s) :
Jullien, Maxime [Auteur]
Tessoulin, Benoît [Auteur]
Ghesquieres, Herve [Auteur]
Oberic, Lucie [Auteur]
Morschhauser, Franck [Auteur]
Groupe de Recherche sur les formes Injectables et les Technologies Associées (GRITA) - ULR 7365
Tilly, Hervé [Auteur]
Ribrag, Vincent [Auteur]
Lamy, Thierry [Auteur]
Thieblemont, Catherine [Auteur]
Villemagne, Bruno [Auteur]
Gressin, Rémy [Auteur]
Bouabdallah, Kamal [Auteur]
Haioun, Corinne [Auteur]
Damaj, Gandhi [Auteur]
Fornecker, Luc-Matthieu [Auteur]
Schiano De Colella, Jean-Marc [Auteur]
Feugier, P. [Auteur]
Hermine, O. [Auteur]
Cartron, G. [Auteur]
Bonnet, C. [Auteur]
André, M. [Auteur]
Bailly, C. [Auteur]
Casasnovas, R. O. [Auteur]
Le Gouill, S. [Auteur]
Tessoulin, Benoît [Auteur]
Ghesquieres, Herve [Auteur]
Oberic, Lucie [Auteur]
Morschhauser, Franck [Auteur]
Groupe de Recherche sur les formes Injectables et les Technologies Associées (GRITA) - ULR 7365
Tilly, Hervé [Auteur]
Ribrag, Vincent [Auteur]
Lamy, Thierry [Auteur]
Thieblemont, Catherine [Auteur]
Villemagne, Bruno [Auteur]
Gressin, Rémy [Auteur]
Bouabdallah, Kamal [Auteur]
Haioun, Corinne [Auteur]
Damaj, Gandhi [Auteur]
Fornecker, Luc-Matthieu [Auteur]
Schiano De Colella, Jean-Marc [Auteur]
Feugier, P. [Auteur]
Hermine, O. [Auteur]
Cartron, G. [Auteur]
Bonnet, C. [Auteur]
André, M. [Auteur]
Bailly, C. [Auteur]
Casasnovas, R. O. [Auteur]
Le Gouill, S. [Auteur]
Titre de la revue :
Cancers (Basel)
Numéro :
13
Pagination :
4503
Éditeur :
MDPI
Date de publication :
2021-09-29
ISSN :
2072-6694
Mot(s)-clé(s) :
diffuse large B-cell lymphoma
muscle depletion
sarcopenia
muscle hypodensity
U-NET
convolutional neural network
muscle depletion
sarcopenia
muscle hypodensity
U-NET
convolutional neural network
Discipline(s) HAL :
Sciences du Vivant [q-bio]
Résumé en anglais : [en]
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 ...
Lire la suite >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. Methods. This study reports the development of a Deep-Learning automatic segmentation algorithm (DLASA) to measure MD, and investigate its predictive value in a cohort of 656 diffuse large B cell lymphoma (DLBCL) patients included in the GAINED phase III prospective trial (NCT01659099). Results. After training on a series of 190 patients, the DLASA achieved a Dice coefficient of 0.97 ± 0.03. In the cohort, the median skeletal muscle index was 50.2 cm2/m2 and median muscle attenuation (MA) was 36.1 Hounsfield units (HU). No impact of sarcopenia was found on either progression free survival (PFS) or overall survival (OS). Muscular hypodensity, defined as MA below the tenth percentile according to sex, was associated with a lower OS and PFS, respectively (HR = 2.80 (95% CI 1.58–4.95), p < 0.001, and HR = 2.22 (95% CI 1.43–3.45), p < 0.001). Muscular hypodensity appears to be an independent risk factor for mortality in DLBCL and because of DLASA can be estimated in routine practiceLire moins >
Lire la suite >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. Methods. This study reports the development of a Deep-Learning automatic segmentation algorithm (DLASA) to measure MD, and investigate its predictive value in a cohort of 656 diffuse large B cell lymphoma (DLBCL) patients included in the GAINED phase III prospective trial (NCT01659099). Results. After training on a series of 190 patients, the DLASA achieved a Dice coefficient of 0.97 ± 0.03. In the cohort, the median skeletal muscle index was 50.2 cm2/m2 and median muscle attenuation (MA) was 36.1 Hounsfield units (HU). No impact of sarcopenia was found on either progression free survival (PFS) or overall survival (OS). Muscular hypodensity, defined as MA below the tenth percentile according to sex, was associated with a lower OS and PFS, respectively (HR = 2.80 (95% CI 1.58–4.95), p < 0.001, and HR = 2.22 (95% CI 1.43–3.45), p < 0.001). Muscular hypodensity appears to be an independent risk factor for mortality in DLBCL and because of DLASA can be estimated in routine practiceLire moins >
Langue :
Anglais
Audience :
Internationale
Établissement(s) :
Université de Lille
CHU Lille
CHU Lille
Collections :
Date de dépôt :
2023-05-25T02:58:11Z
2023-08-23T08:51:43Z
2023-08-23T08:51:43Z
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