Inhuber Stephanie, Sollmann Nico, Schlaeger Sarah, Dieckmeyer Michael, Burian Egon, Kohlmeyer Caroline, Karampinos Dimitrios C, Kirschke Jan S, Baum Thomas, Kreuzpointner Florian, Schwirtz Ansgar
Department of Sport and Health Sciences, Technische Universität München, Georg-Brauchle-Ring 60/62, 80992, Munich, Germany.
Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, Munich, Germany.
Eur Radiol Exp. 2019 Nov 20;3(1):45. doi: 10.1186/s41747-019-0123-4.
Assessment of the thigh muscle fat composition using magnetic resonance imaging (MRI) can provide surrogate markers in subjects suffering from various musculoskeletal disorders including knee osteoarthritis or neuromuscular diseases. However, little is known about the relationship with muscle strength. Therefore, we investigated the associations of thigh muscle fat with isometric strength measurements.
Twenty healthy subjects (10 females; median age 27 years, range 22-41 years) underwent chemical shift encoding-based water-fat MRI, followed by bilateral extraction of the proton density fat fraction (PDFF) and calculation of relative cross-sectional area (relCSA) of quadriceps and ischiocrural muscles. Relative maximum voluntary isometric contraction (relMVIC) in knee extension and flexion was measured with a rotational dynamometer. Correlations between PDFF, relCSA, and relMVIC were evaluated, and multivariate regression was applied to identify significant predictors of muscle strength.
Significant correlations between the PDFF and relMVIC were observed for quadriceps and ischiocrural muscles bilaterally (p = 0.001 to 0.049). PDFF, but not relCSA, was a statistically significant (p = 0.001 to 0.049) predictor of relMVIC in multivariate regression models, except for left-sided relMVIC in extension. In this case, PDFF (p = 0.005) and relCSA (p = 0.015) of quadriceps muscles significantly contributed to the statistical model with R = 0.548.
Chemical shift encoding-based water-fat MRI could detect changes in muscle composition by quantifying muscular fat that correlates well with both extensor and flexor relMVIC of the thigh. Our results help to initiate early, individualised treatments to maintain or improve muscle function in subjects who do not or not yet show pathological fatty muscle infiltration.
使用磁共振成像(MRI)评估大腿肌肉脂肪成分可为患有各种肌肉骨骼疾病(包括膝关节骨关节炎或神经肌肉疾病)的受试者提供替代标志物。然而,关于其与肌肉力量的关系知之甚少。因此,我们研究了大腿肌肉脂肪与等长力量测量之间的关联。
20名健康受试者(10名女性;年龄中位数27岁,范围22 - 41岁)接受基于化学位移编码的水脂MRI检查,随后双侧提取股四头肌和坐骨神经支配肌的质子密度脂肪分数(PDFF)并计算相对横截面积(relCSA)。使用旋转测力计测量膝关节伸展和屈曲时的相对最大自主等长收缩(relMVIC)。评估PDFF、relCSA和relMVIC之间的相关性,并应用多元回归来确定肌肉力量的重要预测因素。
双侧股四头肌和坐骨神经支配肌的PDFF与relMVIC之间均观察到显著相关性(p = 0.001至0.049)。在多元回归模型中,除了左侧伸展时的relMVIC外,PDFF而非relCSA是relMVIC的统计学显著预测因素(p = 0.001至0.049)。在这种情况下,股四头肌的PDFF(p = 0.005)和relCSA(p = 0.015)对统计模型有显著贡献,R = 0.548。
基于化学位移编码的水脂MRI可通过量化与大腿伸肌和屈肌relMVIC均密切相关的肌肉脂肪来检测肌肉成分变化。我们的结果有助于启动早期个体化治疗,以维持或改善未出现或尚未出现病理性脂肪肌肉浸润的受试者的肌肉功能。