Bennett Jonathan P, Prado Carla M, Gonzalez Maria Cristina, Heymsfield Steven B
Department of Epidemiology, University of Hawai'i Cancer Center, Honolulu, HI, United States.
Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada.
Am J Clin Nutr. 2025 Sep;122(3):661-670. doi: 10.1016/j.ajcnut.2025.06.023. Epub 2025 Jun 30.
The evaluation of skeletal muscle (SM) mass has significant clinical and research relevance in the diagnosis and management of conditions, such as malnutrition, sarcopenia, sarcopenic obesity, and cancer cachexia. Dual-energy X-ray absorptiometry (DXA) is now the most widely used method for estimating SM mass; however, it does not directly measure SM but instead provides proxies that require careful interpretation. A major issue in the field is the inconsistent and sometimes incorrect use of DXA-derived terminology in both scientific literature and clinical practice, leading to potential misdiagnoses and inaccurate research conclusions. This review highlights the importance of using proper terminology and the errors that arise when DXA-based estimates of SM mass are misrepresented. Focusing on the appendicular regions, where most SM is located, we first describe the principles of DXA measurement, including its ability to quantify appendicular lean soft tissue (ALST) and appendicular lean mass (ALM) and their relationship to appendicular skeletal muscle (ASM). We then examined inconsistencies in manufacturer-reported DXA outputs and common reporting errors in the literature, particularly the interchangeable use of ALST and ASM. Additionally, we present data demonstrating how these inconsistencies impact the clinical assessment of sarcopenia and influence population-level prevalence estimates. ALM refers to all nonfat components of the arms and legs, whereas ALST also removes bone mass. Both measures include non-SM components and are, therefore, larger than SM. To address the use of these terms, we propose standardizing DXA terminology and reporting practices in both research and clinical settings. We also highlight the importance of consistent terminology in other clinical and field-based methods of body composition assessment, including bioelectrical impedance analysis and 3-dimensional optical imaging. These recommendations will enhance the clarity of SM-related measures (e.g., ALST, ALM), improve diagnostic accuracy, and facilitate meaningful comparisons across studies.
骨骼肌(SM)质量评估在诸如营养不良、肌肉减少症、肌肉减少性肥胖和癌症恶病质等病症的诊断和管理中具有重要的临床和研究意义。双能X线吸收法(DXA)是目前估算SM质量最广泛使用的方法;然而,它并非直接测量SM,而是提供需要仔细解读的替代指标。该领域的一个主要问题是,在科学文献和临床实践中,DXA衍生术语的使用不一致,有时甚至错误,这可能导致潜在的误诊和不准确的研究结论。本综述强调了使用恰当术语的重要性,以及在错误表述基于DXA的SM质量估计时所产生的错误。我们聚焦于大多数SM所在的四肢区域,首先描述DXA测量的原理,包括其量化四肢瘦软组织(ALST)和四肢瘦体重(ALM)的能力,以及它们与四肢骨骼肌(ASM)的关系。然后,我们研究了制造商报告的DXA输出结果中的不一致性以及文献中常见的报告错误,特别是ALST和ASM的互换使用。此外,我们展示了数据,说明这些不一致性如何影响肌肉减少症的临床评估以及影响人群水平的患病率估计。ALM指的是手臂和腿部的所有非脂肪成分,而ALST还去除了骨量。这两种测量方法都包括非SM成分,因此都大于SM。为解决这些术语的使用问题,我们建议在研究和临床环境中规范DXA术语和报告做法。我们还强调了在其他身体成分评估的临床和基于现场的方法(包括生物电阻抗分析和三维光学成像)中使用一致术语的重要性。这些建议将提高与SM相关测量(如ALST、ALM)的清晰度,提高诊断准确性,并促进不同研究之间有意义的比较。