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Longitudinal changes in skeletal muscle mass in patients with advanced squamous cell lung cancer

BACKGROUND: Skeletal muscle depletion (sarcopenia) is associated with poor prognosis in patients with lung cancer. We analyzed changes in skeletal muscle area using serial computed tomography (CT) until the death of patients with advanced squamous cell lung cancer (SQCLC). METHODS: This retrospectiv...

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Autores principales: Lee, Jongsoo, Kim, Eun Young, Kim, Eunji, Kim, Kwang Gi, Kim, Young Jae, Kim, Young Saing, Ahn, Hee Kyung, Lee, Sang‐Woong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169285/
https://www.ncbi.nlm.nih.gov/pubmed/33829665
http://dx.doi.org/10.1111/1759-7714.13958
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author Lee, Jongsoo
Kim, Eun Young
Kim, Eunji
Kim, Kwang Gi
Kim, Young Jae
Kim, Young Saing
Ahn, Hee Kyung
Lee, Sang‐Woong
author_facet Lee, Jongsoo
Kim, Eun Young
Kim, Eunji
Kim, Kwang Gi
Kim, Young Jae
Kim, Young Saing
Ahn, Hee Kyung
Lee, Sang‐Woong
author_sort Lee, Jongsoo
collection PubMed
description BACKGROUND: Skeletal muscle depletion (sarcopenia) is associated with poor prognosis in patients with lung cancer. We analyzed changes in skeletal muscle area using serial computed tomography (CT) until the death of patients with advanced squamous cell lung cancer (SQCLC). METHODS: This retrospective study comprised 70 consecutive patients who underwent palliative chemotherapy for SQCLC. The cross‐sectional area of the skeletal muscle at the level of the first lumbar vertebra (L1) was measured using chest CT. An artificial intelligence algorithm was developed and used for the serial assessment of the muscle area. Sarcopenia was defined as an L1 skeletal muscle index <46 cm(2)/m(2) in men and < 29 cm(2)/m(2) in women. RESULTS: The median age was 69 years; 62 patients (89%) had metastatic disease at the time of initial diagnosis. Sarcopenia was present in 58 patients (82.9%) at baseline; all patients experienced net muscle loss over the disease trajectory. The median overall survival was 8.7 (95% confidence interval 5.9–11.5) months. The mean percentage loss of skeletal muscle between the first and last CT was 16.5 ± 11.0%. Skeletal muscle loss accelerated over time and was the highest in the last 3 months of life (p < 0.001). Patients losing skeletal muscle rapidly (upper tertile, >3.24 cm(2)/month) had shorter overall survival than patients losing skeletal muscle slowly (median, 5.7 vs. 12.0 months, p < 0.001). CONCLUSIONS: Patients with advanced SQCLC lose a significant amount of skeletal muscle until death. The rate of muscle area reduction is faster at the end of life.
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spelling pubmed-81692852021-06-05 Longitudinal changes in skeletal muscle mass in patients with advanced squamous cell lung cancer Lee, Jongsoo Kim, Eun Young Kim, Eunji Kim, Kwang Gi Kim, Young Jae Kim, Young Saing Ahn, Hee Kyung Lee, Sang‐Woong Thorac Cancer Original Articles BACKGROUND: Skeletal muscle depletion (sarcopenia) is associated with poor prognosis in patients with lung cancer. We analyzed changes in skeletal muscle area using serial computed tomography (CT) until the death of patients with advanced squamous cell lung cancer (SQCLC). METHODS: This retrospective study comprised 70 consecutive patients who underwent palliative chemotherapy for SQCLC. The cross‐sectional area of the skeletal muscle at the level of the first lumbar vertebra (L1) was measured using chest CT. An artificial intelligence algorithm was developed and used for the serial assessment of the muscle area. Sarcopenia was defined as an L1 skeletal muscle index <46 cm(2)/m(2) in men and < 29 cm(2)/m(2) in women. RESULTS: The median age was 69 years; 62 patients (89%) had metastatic disease at the time of initial diagnosis. Sarcopenia was present in 58 patients (82.9%) at baseline; all patients experienced net muscle loss over the disease trajectory. The median overall survival was 8.7 (95% confidence interval 5.9–11.5) months. The mean percentage loss of skeletal muscle between the first and last CT was 16.5 ± 11.0%. Skeletal muscle loss accelerated over time and was the highest in the last 3 months of life (p < 0.001). Patients losing skeletal muscle rapidly (upper tertile, >3.24 cm(2)/month) had shorter overall survival than patients losing skeletal muscle slowly (median, 5.7 vs. 12.0 months, p < 0.001). CONCLUSIONS: Patients with advanced SQCLC lose a significant amount of skeletal muscle until death. The rate of muscle area reduction is faster at the end of life. John Wiley & Sons Australia, Ltd 2021-04-07 2021-06 /pmc/articles/PMC8169285/ /pubmed/33829665 http://dx.doi.org/10.1111/1759-7714.13958 Text en © 2021 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Lee, Jongsoo
Kim, Eun Young
Kim, Eunji
Kim, Kwang Gi
Kim, Young Jae
Kim, Young Saing
Ahn, Hee Kyung
Lee, Sang‐Woong
Longitudinal changes in skeletal muscle mass in patients with advanced squamous cell lung cancer
title Longitudinal changes in skeletal muscle mass in patients with advanced squamous cell lung cancer
title_full Longitudinal changes in skeletal muscle mass in patients with advanced squamous cell lung cancer
title_fullStr Longitudinal changes in skeletal muscle mass in patients with advanced squamous cell lung cancer
title_full_unstemmed Longitudinal changes in skeletal muscle mass in patients with advanced squamous cell lung cancer
title_short Longitudinal changes in skeletal muscle mass in patients with advanced squamous cell lung cancer
title_sort longitudinal changes in skeletal muscle mass in patients with advanced squamous cell lung cancer
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169285/
https://www.ncbi.nlm.nih.gov/pubmed/33829665
http://dx.doi.org/10.1111/1759-7714.13958
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