
doi: 10.1111/cpf.12081
pmid: 24034154
SummaryThe purpose of this study was to establish an accurate estimation of muscle atrophy in the quadriceps femoris (QF) muscle group. Eighteen individuals who underwent meniscectomy participated in the study (nine men and nine women, mean age 44·4 years). Both operated and non‐operated thighs were scanned by magnetic resonance imaging to determine the volume and thickness of the QF muscle group. Muscle volume was estimated using eleven axial images, and muscle thickness was measured at the anterior, lateral and medial regions of the proximal, mid‐ and distal thigh, respectively. A stepwise linear regression analysis was performed to obtain the relationship between the difference in muscle volume and the difference in muscle thickness between operated and non‐operated limbs. There was no significant difference in muscle volume of the QF between operated (806·6 ± 220·0 cm3) and non‐operated (913·7 ± 241·5 cm3) limbs. Based on the stepwise linear regression analysis, the difference in muscle volume was significantly correlated with the difference in muscle thickness at the anterior proximal thigh and lateral mid‐thigh and anterior mid‐thigh (R = 0·93, P<0·01). In conclusion, the difference in muscle volume between operated and non‐operated limbs can be estimated accurately by measuring muscle thickness of the QF at three sites: the anterior proximal thigh, the lateral mid‐thigh and anterior mid‐thigh. Muscle thickness can be measured easily using imaging techniques such as ultrasonography. We propose that this method provides an easy and accurate estimate of knee surgery‐induced muscle atrophy in clinical medicine.
Adult, Male, Knee Joint, Middle Aged, Magnetic Resonance Imaging, Quadriceps Muscle, Muscular Atrophy, Young Adult, Treatment Outcome, Predictive Value of Tests, Linear Models, Humans, Female, Orthopedic Procedures, Aged
Adult, Male, Knee Joint, Middle Aged, Magnetic Resonance Imaging, Quadriceps Muscle, Muscular Atrophy, Young Adult, Treatment Outcome, Predictive Value of Tests, Linear Models, Humans, Female, Orthopedic Procedures, Aged
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