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Screening for low muscularity in colorectal cancer patients: a valid, clinic‐friendly approach that predicts mortality

BACKGROUND: Low skeletal muscle quantified using computed tomography (CT) scans is associated with morbidity and mortality among cancer patients. However, existing methods to assess skeletal muscle from CT are time‐consuming, expensive, and require training. Clinic‐friendly tools to screen for low s...

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Autores principales: Cespedes Feliciano, Elizabeth M., Avrutin, Egor, Caan, Bette J., Boroian, Adam, Mourtzakis, Marina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6204585/
https://www.ncbi.nlm.nih.gov/pubmed/30066490
http://dx.doi.org/10.1002/jcsm.12317
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author Cespedes Feliciano, Elizabeth M.
Avrutin, Egor
Caan, Bette J.
Boroian, Adam
Mourtzakis, Marina
author_facet Cespedes Feliciano, Elizabeth M.
Avrutin, Egor
Caan, Bette J.
Boroian, Adam
Mourtzakis, Marina
author_sort Cespedes Feliciano, Elizabeth M.
collection PubMed
description BACKGROUND: Low skeletal muscle quantified using computed tomography (CT) scans is associated with morbidity and mortality among cancer patients. However, existing methods to assess skeletal muscle from CT are time‐consuming, expensive, and require training. Clinic‐friendly tools to screen for low skeletal muscle in cancer patients are urgently needed. METHODS: We included 807 scans from non‐metastatic colorectal cancer patients. With the digital ruler available in most radiological software, we implemented an abbreviated method to assess skeletal muscle area at the third lumbar vertebra (L3), which consisted of assessing the height and width of the psoas and paraspinal muscles and computing their combined ‘linear area’ in centimetres squared (cm(2)). A subset of CT scans was assessed twice by two analysts to compute intra‐rater and inter‐rater reliability. We derived cut‐points for ‘low’ linear area using optimal stratification and then calculated the sensitivity and specificity of these cut‐points relative to standard methods (total L3 cross‐sectional area assessed with Slice‐O‐Matic research software). We further evaluated the association of low linear area with death from any cause after colorectal cancer diagnosis in Cox proportional hazards models adjusting for demographics, smoking, body mass index category, and tumour characteristics. RESULTS: The linear area was highly correlated with total cross‐sectional area assessed using standard methods [r = 0.92; 95% confidence interval (CI): 0.91, 0.93] overall and within subgroups defined by age, sex, and body mass index group. Intra‐rater and inter‐rater reliability were equally high (both intra‐class correlations = 0.98). Cut‐points for low linear area were sensitive (0.75; 95% CI: 0.70, 0.80) and specific (0.77; 95% CI: 0.73, 0.80) for identifying low skeletal muscle relative to the standard of total L3 cross‐sectional area. The hazard ratio and 95% CI for death associated with a low linear area were hazard ratio = 1.66; 95% CI: 1.22, 2.25. CONCLUSIONS: Clinic‐friendly methods that assess linear area from CT scans are an accurate screening tool to identify low skeletal muscle among non‐metastatic colorectal cancer patients. These linear measures are associated with mortality after colorectal cancer, suggesting they could be clinically useful both to improve prognostication and to provide a practical screening tool to identify cancer patients who require nutrition or exercise intervention.
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spelling pubmed-62045852018-11-05 Screening for low muscularity in colorectal cancer patients: a valid, clinic‐friendly approach that predicts mortality Cespedes Feliciano, Elizabeth M. Avrutin, Egor Caan, Bette J. Boroian, Adam Mourtzakis, Marina J Cachexia Sarcopenia Muscle Original Articles BACKGROUND: Low skeletal muscle quantified using computed tomography (CT) scans is associated with morbidity and mortality among cancer patients. However, existing methods to assess skeletal muscle from CT are time‐consuming, expensive, and require training. Clinic‐friendly tools to screen for low skeletal muscle in cancer patients are urgently needed. METHODS: We included 807 scans from non‐metastatic colorectal cancer patients. With the digital ruler available in most radiological software, we implemented an abbreviated method to assess skeletal muscle area at the third lumbar vertebra (L3), which consisted of assessing the height and width of the psoas and paraspinal muscles and computing their combined ‘linear area’ in centimetres squared (cm(2)). A subset of CT scans was assessed twice by two analysts to compute intra‐rater and inter‐rater reliability. We derived cut‐points for ‘low’ linear area using optimal stratification and then calculated the sensitivity and specificity of these cut‐points relative to standard methods (total L3 cross‐sectional area assessed with Slice‐O‐Matic research software). We further evaluated the association of low linear area with death from any cause after colorectal cancer diagnosis in Cox proportional hazards models adjusting for demographics, smoking, body mass index category, and tumour characteristics. RESULTS: The linear area was highly correlated with total cross‐sectional area assessed using standard methods [r = 0.92; 95% confidence interval (CI): 0.91, 0.93] overall and within subgroups defined by age, sex, and body mass index group. Intra‐rater and inter‐rater reliability were equally high (both intra‐class correlations = 0.98). Cut‐points for low linear area were sensitive (0.75; 95% CI: 0.70, 0.80) and specific (0.77; 95% CI: 0.73, 0.80) for identifying low skeletal muscle relative to the standard of total L3 cross‐sectional area. The hazard ratio and 95% CI for death associated with a low linear area were hazard ratio = 1.66; 95% CI: 1.22, 2.25. CONCLUSIONS: Clinic‐friendly methods that assess linear area from CT scans are an accurate screening tool to identify low skeletal muscle among non‐metastatic colorectal cancer patients. These linear measures are associated with mortality after colorectal cancer, suggesting they could be clinically useful both to improve prognostication and to provide a practical screening tool to identify cancer patients who require nutrition or exercise intervention. John Wiley and Sons Inc. 2018-07-31 2018-10 /pmc/articles/PMC6204585/ /pubmed/30066490 http://dx.doi.org/10.1002/jcsm.12317 Text en © 2018 The Authors. Journal of Cachexia, Sarcopenia and Muscle published by John Wiley & Sons Ltd on behalf of the Society on Sarcopenia, Cachexia and Wasting Disorders This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Cespedes Feliciano, Elizabeth M.
Avrutin, Egor
Caan, Bette J.
Boroian, Adam
Mourtzakis, Marina
Screening for low muscularity in colorectal cancer patients: a valid, clinic‐friendly approach that predicts mortality
title Screening for low muscularity in colorectal cancer patients: a valid, clinic‐friendly approach that predicts mortality
title_full Screening for low muscularity in colorectal cancer patients: a valid, clinic‐friendly approach that predicts mortality
title_fullStr Screening for low muscularity in colorectal cancer patients: a valid, clinic‐friendly approach that predicts mortality
title_full_unstemmed Screening for low muscularity in colorectal cancer patients: a valid, clinic‐friendly approach that predicts mortality
title_short Screening for low muscularity in colorectal cancer patients: a valid, clinic‐friendly approach that predicts mortality
title_sort screening for low muscularity in colorectal cancer patients: a valid, clinic‐friendly approach that predicts mortality
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6204585/
https://www.ncbi.nlm.nih.gov/pubmed/30066490
http://dx.doi.org/10.1002/jcsm.12317
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