Liu Xingli, Gao Meng, Li Zhonglin, Wang Ling, Wang Wu, Yue Yan, Guo Yinghai, He Xiao, Lyu Liang, Wang Gang
Department of Radiology, The First People's Hospital of Yunnan Province, Kunming, Yunnan, China.
Department of Radiology, Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, China.
BMJ Open. 2025 Mar 13;15(3):e083165. doi: 10.1136/bmjopen-2023-083165.
This study aims to identify the optimal lumbar vertebral level for CT-based assessments of trunk muscles in relation to physical function and muscle strength, and to establish a foundation for opportunistic CT screening for sarcopenia.
A cross-sectional study was conducted between April 2022 and December 2022. Pearson's correlation coefficients and multiple linear regression analyses were employed to estimate the correlation between CT parameters of trunk muscle with physical function and muscle strength.
The study included community residents aged 50 years and older from Kunming, Yunnan Province, China, who were part of the SOY (Sarcopenia and Osteoporosis Study of Yunnan) cohort. A total of 615 participants were enrolled, comprising 424 men and 191 women. Among these, 31 individuals (20 men and 11 women) were diagnosed with sarcopenia.
Each participant underwent lumbar CT scanning, the Short Physical Performance Battery (SPPB) and handgrip strength (HGS) assessment.
A correlation analysis was conducted for both the general and sarcopenia groups, after adjusting for age and body mass index. Additionally, a gender-stratified analysis was performed.
Muscle density and muscle area at all levels exhibited a moderate correlation with grip strength, with the correlation for muscle area being more pronounced (correlation β of muscle density =0.48-0.54, p value <0.001; correlation β of muscle area=0.66-0.68, p value <0.001). However, only muscle density demonstrated a weak correlation in the correlation analysis with SPPB (correlation β of muscle density =0.09-0.12, p value <0.01). When stratified by gender, trunk muscle attenuation at the L1 vertebral level in the male group showed a more pronounced correlation with physical performance (L1-βHGS =0.25, p value <0.001 vs L2-L5-βHGS =0.16-0.19, p value =0.01-0.04; L1-βSPPB =0.31, p value <0.001 vs L2-L5-βSPPB =0.23-0.29, p value <0.01). In the female cohort, both the muscle area and muscle density at all levels showed correlations with grip strength, and the muscle area at L3 vertebrae showed the best performance (L3-βHGS =0.23, p value <0.001). In the sarcopenia group, the L1 level correlates better with HGS and SPPB than other levels. (L1-βHGS =0.54, p value =0.03 and L1-βSPPB =-0.35, p value =0.04).
In this study, the area and density of lumbar muscles based on CT showed correlations of varying degrees with grip strength or SPPB. The L1 layer exhibited superior performance in those aged more than 50 years, especially in the male and sarcopenia groups. This study suggests that CT-based muscle assessment at the L1 vertebra may be a feasible option for opportunistic sarcopenia screening.
ChiCTR210005215; Pre-results.
本研究旨在确定基于CT评估躯干肌肉与身体功能和肌肉力量相关的最佳腰椎水平,并为肌少症的机会性CT筛查奠定基础。
于2022年4月至2022年12月进行了一项横断面研究。采用Pearson相关系数和多元线性回归分析来估计躯干肌肉CT参数与身体功能和肌肉力量之间的相关性。
该研究纳入了来自中国云南省昆明市的50岁及以上社区居民,他们是SOY(云南肌少症和骨质疏松症研究)队列的一部分。共招募了615名参与者,包括424名男性和191名女性。其中,31人(20名男性和11名女性)被诊断为肌少症。
每位参与者均接受了腰椎CT扫描、简短身体功能量表(SPPB)和握力(HGS)评估。
在调整年龄和体重指数后,对总体组和肌少症组均进行了相关性分析。此外,还进行了性别分层分析。
所有水平的肌肉密度和肌肉面积与握力均呈中度相关,其中肌肉面积的相关性更为明显(肌肉密度的相关β值=0.48-0.54,p值<0.001;肌肉面积的相关β值=0.66-0.68,p值<0.001)。然而,在与SPPB的相关性分析中,只有肌肉密度显示出弱相关性(肌肉密度 的相关β值=0.09-0.12,p值<0.01)。按性别分层时,男性组L1椎体水平的躯干肌肉衰减与身体表现的相关性更为明显(L1-βHGS =0.25,p值<0.001,而L2-L5-βHGS =0.16-0.19,p值=0.01-0.04;L1-βSPPB =0.31,p值<0.001,而L2-L5-βSPPB =0.23-0.29,p值<0.01)。在女性队列中,所有水平的肌肉面积和肌肉密度均与握力相关,L3椎体的肌肉面积表现最佳(L3-βHGS =0.23,p值<0.001)。在肌少症组中,L1水平与HGS和SPPB的相关性优于其他水平。(L1-βHGS =0.54,p值=0.03,L1-βSPPB =-0.35,p值=0.04)。
在本研究中,基于CT的腰椎肌肉面积和密度与握力或SPPB呈不同程度的相关性。L1层在50岁以上人群中表现优异,尤其是在男性和肌少症组中。本研究表明,基于CT对L1椎体进行肌肉评估可能是机会性肌少症筛查的可行选择。
ChiCTR210005215;预结果。