Deep-Learning Assessed Muscular Hypodensity Independently Predicts Mortality in DLBCL Patients Younger Than 60 Years - Inserm - Institut national de la santé et de la recherche médicale Access content directly
Journal Articles Cancers Year : 2021

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

1 CRCINA-ÉQUIPE 10 - Regulation of Bcl2 and p53 Networks in Multiple Myeloma and Mantle Cell Lymphoma
2 CHU Nantes - Centre hospitalier universitaire de Nantes
3 HCL - Hospices Civils de Lyon
4 CHLS - Centre Hospitalier Lyon Sud [CHU - HCL]
5 UCBL - Université Claude Bernard Lyon 1
6 IUCT Oncopole - UMR 1037 - Institut Universitaire du Cancer de Toulouse - Oncopole
7 CHU Lille
8 Recherche translationelle relations hôte-pathogènes
9 GRITA - Groupe de Recherche sur les formes Injectables et les Technologies Associées - ULR 7365
10 CLCC Henri Becquerel - Centre de Lutte Contre le Cancer Henri Becquerel Normandie Rouen
11 IGR - Institut Gustave Roussy
12 Université Paris-Saclay
13 Département d'hématologie [Gustave Roussy]
14 CHU Pontchaillou [Rennes]
15 AP-HP - Hopital Saint-Louis [AP-HP]
16 UPD7 - Université Paris Diderot - Paris 7
17 CHD Vendée - Centre Hospitalier Départemental - Hôpital de La Roche-sur-Yon
18 CHU - Centre Hospitalier Universitaire [Grenoble]
19 CHU Bordeaux [Bordeaux]
20 Hôpital Henri Mondor
21 IHBN - Institut d'Hématologie de Basse-Normandie
22 ICANS - Institut de Cancérologie de Strasbourg Europe
23 CHU Strasbourg
24 Institut Paoli-Calmettes
25 CHRU Nancy - Centre Hospitalier Régional Universitaire de Nancy
26 CHU Necker - Enfants Malades [AP-HP]
27 CHU Montpellier
28 IGMM - Institut de Génétique Moléculaire de Montpellier
29 CHU-Liège - Centre Hospitalier Universitaire de Liège
30 Université de Liège
31 CHU UCL Namur
32 UCL - Université Catholique de Louvain = Catholic University of Louvain
33 CHU Dijon - Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand
34 LNC - Lipides - Nutrition - Cancer [Dijon - U1231]
Olivier Hermine

Abstract

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 practice.
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Dates and versions

inserm-03540506 , version 1 (24-01-2022)

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Maxime Jullien, Benoit Tessoulin, Hervé Ghesquières, Lucie Oberic, Franck Morschhauser, et al.. Deep-Learning Assessed Muscular Hypodensity Independently Predicts Mortality in DLBCL Patients Younger Than 60 Years. Cancers, 2021, 13 (18), pp.4503. ⟨10.3390/cancers13184503⟩. ⟨inserm-03540506⟩
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