Department of Physiology, Medical School, University of Novi Sad, Novi Sad, Serbia.
J Sports Sci. 2011 Mar;29(6):635-41. doi: 10.1080/02640414.2010.549498.
The aim of this study was to determine whether triceps brachii muscle volume can be adequately estimated from a single anatomical cross-sectional area (ACSA) and can the same model be used for prediction after training. Thirty-five healthy male non-athletes (age 21.6 ± 2.5 years, body mass index 24.8 ± 3.5 kg · m(-2)) volunteered for this study. The volumes of the upper arm extensors were calculated from magnetic resonance imaging (MRI) sequence scans and regression models were developed, which were used to predict muscle volumes from single MRI cross-sectional scans taken at different points along the humerus length. The same procedure was repeated after 12 weeks of maximal resistance training of the elbow extensors. Correlation coefficients were calculated for Model A with CSA(max), humerus length (HL), and body mass index (r = 0.919), a model with CSA(50%) and HL (r = 0.922), and a model with CSA(60%) and HL (r = 0.920) (P < 0.001). The standard error of estimate for Model A, Model CSA(50%), and Model CSA(60%) was 8.0%, 7.7%, and 7.8% respectively. Thesame prediction formula can be used for the left arm (r = 0.904). If a single ACSA is used for triceps brachii volume prediction, the best fit is with Model CSA(60%) and HL, both before and after training (r = 0.941). By introducing humerus length into the calculation, we simplify the procedure for volume measurement, since it can be obtained during MRI scanning.
本研究旨在确定肱三头肌肌肉体积是否可以仅通过单个解剖横截面积 (ACSA) 进行充分估计,并且相同的模型是否可以在训练后用于预测。35 名健康的男性非运动员(年龄 21.6 ± 2.5 岁,体重指数 24.8 ± 3.5 kg · m(-2)) 自愿参加了这项研究。使用磁共振成像 (MRI) 序列扫描计算上臂伸肌的体积,并建立了回归模型,该模型用于从沿肱骨长度的不同点获取的单个 MRI 横截面扫描中预测肌肉体积。在 12 周的最大肘部伸肌阻力训练后,重复了相同的程序。模型 A 与 CSA(max)、肱骨长度 (HL) 和体重指数 (r = 0.919)、CSA(50%)和 HL (r = 0.922) 以及 CSA(60%)和 HL (r = 0.920) 的相关系数计算 (P < 0.001)。模型 A、模型 CSA(50%)和模型 CSA(60%)的估计标准误差分别为 8.0%、7.7%和 7.8%。左手臂的相同预测公式也可以使用 (r = 0.904)。如果仅使用单个 ACSA 进行肱三头肌体积预测,则在训练前后,CSA(60%)和 HL 的最佳拟合度最高 (r = 0.941)。通过在计算中引入肱骨长度,我们简化了体积测量的过程,因为它可以在 MRI 扫描过程中获得。