Diffusive sensitivity to muscle architecture:: a magnetic resonance diffusion tensor imaging study of the human calf

Diffusive sensitivity to muscle architecture:: a magnetic resonance diffusion tensor imaging study of the human calf
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DOI:
10.1007/s00421-004-1186-2
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发表时间:
2004-12-01
影响因子:
3
通讯作者:
Ladd, ME
Ladd, ME
中科院分区:
医学3区
文献类型:
--
作者:
Galbán, CJ;Maderwald, S;Ladd, ME

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本研究的目的是检查休息时邻近肌肉的扩散特性,并确定扩散和结构特性之间的关系,这是特定于肌肉的任务。利用扩散张量成像(diffusion tensor imaging, DTI)计算了人小腿各肌肉的原理、第二、第三特征值、扩散张量的迹线以及椭球偏心率(e)和分数各向异性(FA)两个各向异性参数。计算参数与肌肉生理截面积(PCSA)的线性相关,PCSA与最大肌肉力成正比,以确定肌肉结构与扩散率之间的线性关系。研究人员从六名健康男性志愿者那里获得了左小腿的图像。本研究调查了7块肌肉。这些肌肉包括比目鱼肌、腓肠肌外侧肌、腓肠肌内侧肌、胫后肌、胫前肌、指长伸肌和腓骨长肌。所有数据均以均数和均数的标准误差(SEM)表示。一般来说,扩散参数值的差异主要发生在功能不同的肌肉之间。PCSA与第三特征值e和FA之间也存在很强的相关性。数学推导揭示了PCSA和第三特征值之间的线性关系,因为它们依赖于单个肌肉内所有纤维的平均半径。这些发现证明了DTI根据其扩散特性区分身体同一区域功能不同肌肉的能力。
The aim of this study was to examine the diffusive properties of adjacent muscles at rest, and to determine the relationship between diffusive and architectural properties, which are task-specific to muscles. The principle, second, and third eigenvalues, trace of the diffusion tensor, and two anisotropic parameters, ellipsoid eccentricity (e) and fractional anisotropy (FA), of various muscles in the human calf were calculated by diffusion tensor imaging (DTI). Linear correlations of the calculated parameters to the muscle physiological cross-sectional area (PCSA), which is proportional to maximum muscle force, were performed to ascertain any linear relation between muscle architecture and diffusivity. Images of the left calf were acquired from six healthy male volunteers. Seven muscles were investigated in this study. These comprised the soleus, lateral gastrocnemius, medial gastrocnemius, posterior tibialis, anterior tibialis, extensor digitorum longus, and peroneus longus. All data were presented as the mean and standard error of the mean (SEM). In general, differences in diffusive parameter values occurred primarily between functionally different muscles. A strong correlation was also found between PCSA and the third eigenvalue, e, and FA. A mathematical derivation revealed a linear relationship between PCSA and the third eigenvalue as a result of their dependence on the average radius of all fibers within a single muscle. These findings demonstrated the ability of DTI to differentiate between functionally different muscles in the same region of the body on the basis of their diffusive properties.