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Relationships of 35 lower limb muscles to height and body mass quantified using MRI
Authors:Geoffrey G. Handsfield  Craig H. Meyer  Joseph M. Hart  Mark F. Abel  Silvia S. Blemker
Affiliation:1. Department of Biomedical Engineering, University of Virginia, United States;2. Department of Radiology and Medical Imaging, University of Virginia, United States;3. Department of Orthopaedic Surgery, University of Virginia, United States;4. Department of Kinesiology, University of Virginia, United States;5. Department of Mechanical and Aerospace Engineering, University of Virginia, United States
Abstract:Skeletal muscle is the most abundant tissue in the body and serves various physiological functions including the generation of movement and support. Whole body motor function requires adequate quantity, geometry, and distribution of muscle. This raises the question: how do muscles scale with subject size in order to achieve similar function across humans? While much of the current knowledge of human muscle architecture is based on cadaver dissection, modern medical imaging avoids limitations of old age, poor health, and limited subject pool, allowing for muscle architecture data to be obtained in vivo from healthy subjects ranging in size. The purpose of this study was to use novel fast-acquisition MRI to quantify volumes and lengths of 35 major lower limb muscles in 24 young, healthy subjects and to determine if muscle size correlates with bone geometry and subject parameters of mass and height. It was found that total lower limb muscle volume scales with mass (R2=0.85) and with the height–mass product (R2=0.92). Furthermore, individual muscle volumes scale with total muscle volume (median R2=0.66), with the height–mass product (median R2=0.61), and with mass (median R2=0.52). Muscle volume scales with bone volume (R2=0.75), and muscle length relative to bone length is conserved (median s.d.=2.1% of limb length). These relationships allow for an arbitrary subject's individual muscle volumes to be estimated from mass or mass and height while muscle lengths may be estimated from limb length. The dataset presented here can further be used as a normative standard to compare populations with musculoskeletal pathologies.
Keywords:Muscle   Length   Musculoskeletal   Volume   Allometry
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