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Prognostic value of low skeletal muscle mass in patient treated by exclusive curative radiochemotherapy for a NSCLC

Low skeletal muscle mass is a well-known prognostic factor for patients treated for a non-small-cell lung cancer by surgery or chemotherapy. However, its impact in patients treated by exclusive radiochemotherapy has never been explored. Our study tries to evaluate the prognostic value of low skeleta...

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Autores principales: Mallet, R., Decazes, P., Modzelewski, R., Lequesne, J., Vera, P., Dubray, B., Thureau, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8137692/
https://www.ncbi.nlm.nih.gov/pubmed/34017035
http://dx.doi.org/10.1038/s41598-021-90187-6
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author Mallet, R.
Decazes, P.
Modzelewski, R.
Lequesne, J.
Vera, P.
Dubray, B.
Thureau, S.
author_facet Mallet, R.
Decazes, P.
Modzelewski, R.
Lequesne, J.
Vera, P.
Dubray, B.
Thureau, S.
author_sort Mallet, R.
collection PubMed
description Low skeletal muscle mass is a well-known prognostic factor for patients treated for a non-small-cell lung cancer by surgery or chemotherapy. However, its impact in patients treated by exclusive radiochemotherapy has never been explored. Our study tries to evaluate the prognostic value of low skeletal muscle mass and other antropometric parameters on this population. Clinical, nutritional and anthropometric date were collected for 93 patients treated by radiochemotherapy for a NSCLC. Anthropometric parameters were measured on the PET/CT by two methods. The first method was a manual segmentation at level L3, used to define Muscle Body Area (MBA(L3)), Visceral Fat Area (VFA(L3)) and Subcutaneous Fat Area (SCFA(L3)). The second method was an software (Anthropometer3D), allowing an automatic multislice measurement of Lean Body Mass (LBM(Anthro3D)), Fat Body Mass (FBM(Anthro3D)), Muscle Body Mass (MBM(Anthro3D)), Visceral Fat Mass (VFM(Anthro3D)), and Sub-Cutaneous Fat Mass (SCFM(Anthro3D)) on the PET/CT. All anthropometrics parameters were normalised by the patient's height. The primary end point was overall survival time. Univariate and then stepwise multivariate cox analysis were performed for significant parameters. Finally, Spearman's correlation between MBA(L3) and MBM(Anthro3D) was assessed. Forty-one (44%) patients had low skeletal muscle mass. The median overall survival was 18 months for low skeletal muscle mass patients versus 36 months for non-low skeletal muscle mass patients (p = 0.019). Low skeletal muscle mass (HR = 1.806, IC95% [1.09–2.98]), serums albumin level < 35 g/l (HR = 2.203 [1.19–4.09]), Buzby Index < 97.5 (HR = 2.31 [1.23–4.33]), WHO score = 0 (HR = 0.59 [0.31–0.86] and MBM(Anthro3D) < 8.56 kg/m(2) (HR = 2.36 [1.41–3.90]) were the only significant features in univariates analysis. In the stepwise multivariate Cox analysis, only MBM(Anthro3D) < 8.56 kg/m(2) (HR = 2.16, p = 0.003) and WHO score = 0 (HR = 0.59, p = 0.04) were significant. Finally, muscle quantified by MBA(L3) and MBM(Anthro3D) were found to be highly correlated (Spearman = 0.9). Low skeletal muscle mass, assessed on the pre-treatment PET/CT is a powerful prognostic factor in patient treated by radiochemotherapy for a NSCLC. The automatic software Anthropometer3D can easily identify patients a risk that could benefit an adapted therapy.
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spelling pubmed-81376922021-05-25 Prognostic value of low skeletal muscle mass in patient treated by exclusive curative radiochemotherapy for a NSCLC Mallet, R. Decazes, P. Modzelewski, R. Lequesne, J. Vera, P. Dubray, B. Thureau, S. Sci Rep Article Low skeletal muscle mass is a well-known prognostic factor for patients treated for a non-small-cell lung cancer by surgery or chemotherapy. However, its impact in patients treated by exclusive radiochemotherapy has never been explored. Our study tries to evaluate the prognostic value of low skeletal muscle mass and other antropometric parameters on this population. Clinical, nutritional and anthropometric date were collected for 93 patients treated by radiochemotherapy for a NSCLC. Anthropometric parameters were measured on the PET/CT by two methods. The first method was a manual segmentation at level L3, used to define Muscle Body Area (MBA(L3)), Visceral Fat Area (VFA(L3)) and Subcutaneous Fat Area (SCFA(L3)). The second method was an software (Anthropometer3D), allowing an automatic multislice measurement of Lean Body Mass (LBM(Anthro3D)), Fat Body Mass (FBM(Anthro3D)), Muscle Body Mass (MBM(Anthro3D)), Visceral Fat Mass (VFM(Anthro3D)), and Sub-Cutaneous Fat Mass (SCFM(Anthro3D)) on the PET/CT. All anthropometrics parameters were normalised by the patient's height. The primary end point was overall survival time. Univariate and then stepwise multivariate cox analysis were performed for significant parameters. Finally, Spearman's correlation between MBA(L3) and MBM(Anthro3D) was assessed. Forty-one (44%) patients had low skeletal muscle mass. The median overall survival was 18 months for low skeletal muscle mass patients versus 36 months for non-low skeletal muscle mass patients (p = 0.019). Low skeletal muscle mass (HR = 1.806, IC95% [1.09–2.98]), serums albumin level < 35 g/l (HR = 2.203 [1.19–4.09]), Buzby Index < 97.5 (HR = 2.31 [1.23–4.33]), WHO score = 0 (HR = 0.59 [0.31–0.86] and MBM(Anthro3D) < 8.56 kg/m(2) (HR = 2.36 [1.41–3.90]) were the only significant features in univariates analysis. In the stepwise multivariate Cox analysis, only MBM(Anthro3D) < 8.56 kg/m(2) (HR = 2.16, p = 0.003) and WHO score = 0 (HR = 0.59, p = 0.04) were significant. Finally, muscle quantified by MBA(L3) and MBM(Anthro3D) were found to be highly correlated (Spearman = 0.9). Low skeletal muscle mass, assessed on the pre-treatment PET/CT is a powerful prognostic factor in patient treated by radiochemotherapy for a NSCLC. The automatic software Anthropometer3D can easily identify patients a risk that could benefit an adapted therapy. Nature Publishing Group UK 2021-05-20 /pmc/articles/PMC8137692/ /pubmed/34017035 http://dx.doi.org/10.1038/s41598-021-90187-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Mallet, R.
Decazes, P.
Modzelewski, R.
Lequesne, J.
Vera, P.
Dubray, B.
Thureau, S.
Prognostic value of low skeletal muscle mass in patient treated by exclusive curative radiochemotherapy for a NSCLC
title Prognostic value of low skeletal muscle mass in patient treated by exclusive curative radiochemotherapy for a NSCLC
title_full Prognostic value of low skeletal muscle mass in patient treated by exclusive curative radiochemotherapy for a NSCLC
title_fullStr Prognostic value of low skeletal muscle mass in patient treated by exclusive curative radiochemotherapy for a NSCLC
title_full_unstemmed Prognostic value of low skeletal muscle mass in patient treated by exclusive curative radiochemotherapy for a NSCLC
title_short Prognostic value of low skeletal muscle mass in patient treated by exclusive curative radiochemotherapy for a NSCLC
title_sort prognostic value of low skeletal muscle mass in patient treated by exclusive curative radiochemotherapy for a nsclc
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8137692/
https://www.ncbi.nlm.nih.gov/pubmed/34017035
http://dx.doi.org/10.1038/s41598-021-90187-6
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