4.7 Article

Skeletal muscle radiodensity is prognostic for survival in patients with advanced non-small cell lung cancer

期刊

CLINICAL NUTRITION
卷 35, 期 6, 页码 1386-1393

出版社

CHURCHILL LIVINGSTONE
DOI: 10.1016/j.clnu.2016.03.010

关键词

Body composition; Non-small cell lung cancer; Prognostic factor; Survival; Sarcopenia; Radiodensity

资金

  1. South-Eastern Norway Regional Health Authority [2010094]
  2. Pierre Fabre, Norway

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Background & aims: Recent research indicates that severe muscular depletion (sarcopenia) is frequent in cancer patients and linked to cachexia and poor survival. Our aim was to investigate if measures of skeletal muscle hold prognostic information in advanced non-small cell lung cancer (NSCLC). Methods: We included NSCLC patients with disease stage IIIB/IV, performance status 0-2, enrolled in three randomised trials of first-line chemotherapy (n = 1305). Computed tomography (CT) images obtained before start of treatment were used for body composition analyses at the level of the third lumbar vertebra (L3). Skeletal muscle mass was assessed by measures of the cross sectional muscle area, from which the skeletal muscle index (SMI) was obtained. Skeletal muscle radiodensity (SMD) was measured as the mean Hounsfield unit (HU) of the measured muscle area. A high level of mean HU indicates a high SMD. Results: Complete data were available for 734 patients, mean age 65 years. Both skeletal muscle index (SMI) and muscle radiodensity (SMD) varied largely. Mean SMI and SMD were 47.7 cm(2)/m(2) and 37.4 HU in men (n = 420), 39.6 cm(2)/m(2) and 37.0 HU in women (n = 314). Multivariable Cox regression analyses, adjusted for established prognostic factors, showed that SMD was independently prognostic for survival (Hazard ratio (HR) 0.98, 95% CI 0.97-0.99, p = 0.001), whereas SMI was not (HR 0.99, 95% CI 0.98-1.01, p = 0.329). Conclusion: Low SMD is associated with poorer survival in advanced NSCLC. Further research is warranted to establish whether muscle measures should be integrated into routine practice to improve prognostic accuracy.(C) 2016 Elsevier Ltd and European Society for Clinical Nutrition and Metabolism. All rights reserved.

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