Key result
Computed tomography accurately determined thigh muscle cross-sectional area, which highly correlated with mean fibre area from biopsy (r = 0.91; P<0.001).
Cross-Sectional (n=9)
Effect estimate: r = 0.91
p-value: p=<0.001
Computed tomography is an accurate and reproducible non-invasive method for determining the cross-sectional area of thigh muscle, which correlates highly with muscle fiber area.
CT-derived vastus lateralis area offers noninvasive sizing; leaves open correlation with fiber types in larger cohorts.
Nine subjects with different training background were studied by means of muscle biopsy from musculus vastus lateralis. The cross-cut area of the different muscle fibre types was measured. By the use of a soft tissue X-ray technique, computed tomography, a cross-sectional picture of the thigh was produced at the same level as the biopsy was taken. The total cross-cut area of the vastus lateralis muscle was measured from this picture. This technique to measure a cross-cut muscle area from an X-ray picture was evaluated and found to be accurate and reproducible. The mean fibre area was highly correlated (r = 0.91; P less than 0.001) to the cross-cut area of the vastus lateralis muscle. The total number of fibres in the vastus lateralis muscle was estimated. It was concluded that the cross-sectional area of the thigh muscle can be accurately determined by means of computed tomography. The larger cross-sectional area of the vastus lateralis muscle in well trained subjects was primarily explained by a larger cross-sectional area of the fibre, while the total number of fibres in the vastus lateralis muscle seemed to be fairly equal among the subjects.
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Häggmark et al. (1978) reported a cross-sectional. Computed tomography vs. Muscle biopsy was evaluated on Correlation between mean fibre area and cross-cut area of the vastus lateralis muscle (r = 0.91, p=<0.001). Computed tomography accurately determined thigh muscle cross-sectional area, which highly correlated with mean fibre area from biopsy (r = 0.91; P<0.001).
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