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The accuracy of volume estimates using ultrasound muscle thickness measurements in different muscle groups.

机译:使用不同肌肉群的超声肌肉厚度测量来估算体积的准确性。

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This study aimed to investigate the accuracy of estimating the volume of limb muscles (MV) using ultrasonographic muscle thickness (MT) measurements. The MT and MV of each of elbow flexors and extensors, knee extensors and ankle plantar flexors were determined from a single ultrasonographic image and multiple magnetic resonance imaging (MRI) scans, respectively, in 27 healthy men (23-40 years of age) who were allocated to validation ( n=14) and cross-validation groups ( n=13). In the validation group, simple and multiple regression equations using MT and a set of MT and limb length, respectively, as independent variables were derived to estimate the MV measured by MRI. However, only the multiple regression equations were cross-validated, and so the prediction equations with r(2) of 0.787-0.884 and the standard error of estimate of 22.1 cm(3) (7.3%) for the elbow flexors to 198.5 cm(3) (11.1%) for the knee extensors were developed using the pooled data. This approach did not induce significant systematic error in any muscle group, with no significant difference in the accuracy of estimating MV between muscle groups. In the multiple regression equations, the relative contribution of MT for predicting MV varied from 41.9% for the knee extensors to 70.4% for the elbow flexors. Thus, ultrasonographic MT measurement was a good predictor of MV when combined with limb length. For predicting MV, however, the unsuitability of a simple equation using MT only and the difference between muscle groups in the relative contribution of MT in multiple regression equations indicated a need for further research on the limb site selected and muscle analyzed for MT measurement.
机译:这项研究旨在调查使用超声肌肉厚度(MT)测量估算肢体肌肉(MV)的准确性。分别从27位年龄在23-40岁的健康男性中,通过单次超声图像和多次磁共振成像(MRI)扫描确定肘部屈肌和伸肌,膝部伸肌和踝足屈肌的MT和MV。被分配给验证组(n = 14)和交叉验证组(n = 13)。在验证组中,推导了分别使用MT和一组MT和肢体长度作为独立变量的简单回归方程和多个回归方程,以估算MRI测量的MV。但是,仅对多个回归方程进行了交叉验证,因此对于肘屈肌至198.5 cm(r)的预测方程,r(2)为0.787-0.884,估计标准误为22.1 cm(3)(7.3%)。 3)(11.1%)使用合并的数据开发了膝盖伸肌。这种方法不会在任何肌肉群中引起明显的系统误差,并且在估计肌肉群之间的MV的准确性上没有显着差异。在多元回归方程中,MT用于预测MV的相对贡献从膝部伸肌的41.9%到肘部屈肌的70.4%不等。因此,当结合肢体长度时,超声MT测量是MV的良好预测指标。但是,对于预测MV,仅使用MT的简单方程式不合适,并且在多个回归方程式中肌肉群之间MT的相对贡献之间的差异表明需要进一步研究所选肢体部位并分析肌肉以进行MT测量。

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