Department of Respiratory Medicine, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre, Maastricht, the Netherlands,
Department of Respiratory Medicine, GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, the Netherlands.
Int J Chron Obstruct Pulmon Dis. 2019 Apr 3;14:781-789. doi: 10.2147/COPD.S194003. eCollection 2019.
Computed tomography (CT) is increasingly used in clinical research for single-slice assessment of muscle mass to correlate with clinical outcome and evaluate treatment efficacy. The third lumbar level (L3) is considered as reference for muscle, but chest scans generally do not reach beyond the first lumbar level (L1). This study investigates if pectoralis muscle and L1 are appropriate alternatives for L3.
CT scans of 115 stage IV non-small cell lung cancer patients were analyzed before and during tumor therapy. Skeletal muscle assessed at pectoralis and L1 muscle was compared to L3 at baseline. Furthermore, the prognostic significance of changes in muscle mass determined at different locations was investigated.
Pearson's correlation coefficient between skeletal muscle at L3 and L1 was stronger (=0.90, <0.001) than between L3 and pectoralis muscle (=0.71, <0.001). Cox regression analysis revealed that L3 (HR 0.943, 95% CI: 0.92-0.97, <0.001) and L1 muscle loss (HR 0.954, 95% CI: 0.93-0.98, <0.001) predicted overall survival, whereas pectoralis muscle loss did not.
L1 is a better alternative than pectoralis muscle to substitute L3 for analysis of muscle mass from regular chest CT scans.
计算机断层扫描(CT)越来越多地用于单层面肌肉量评估的临床研究,以与临床结果相关联并评估治疗效果。第三腰椎(L3)水平被认为是肌肉的参考水平,但胸部扫描通常无法超过第一腰椎(L1)水平。本研究探讨了胸肌和 L1 是否可以替代 L3。
分析了 115 例 IV 期非小细胞肺癌患者在肿瘤治疗前后的 CT 扫描。在基线时,比较了胸肌和 L1 处的骨骼肌与 L3 处的骨骼肌。此外,还研究了不同部位肌肉量变化的预后意义。
L3 与 L1 之间的骨骼肌的 Pearson 相关系数(=0.90,<0.001)强于 L3 与胸肌之间的相关系数(=0.71,<0.001)。Cox 回归分析显示,L3(HR 0.943,95%CI:0.92-0.97,<0.001)和 L1 肌肉减少(HR 0.954,95%CI:0.93-0.98,<0.001)预测总生存期,而胸肌减少则没有。
与胸肌相比,L1 是替代 L3 进行常规胸部 CT 扫描肌肉量分析的更好选择。