Cited by 18Body Composition Measurement TechniquesSpinal Cord Injury ResearchMuscle Physiology and Disorders

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Anthropometric prediction of skeletal muscle cross-sectional area in persons with spinal cord injury

Wade, Rodney C., Gorgey, Ashraf S.·2017·Journal of Applied Physiology

Abstract

Finding an accurate and affordable method to quantify muscle size following spinal cord injury (SCI) could provide benefits clinically and in research settings. The purpose of this study was to validate the use of anthropometric measurements vs. magnetic resonance imaging (MRI) to evaluate muscle cross-sectional area (CSA) and develop a field equation to predict muscle CSA specific to the SCI population. Twenty-two men with chronic (>1 yr) motor complete SCI participated in the current study. Anthropometric measurements, including midthigh circumference and anterior skinfold thickness (SF T ), were taken on the right thigh. The anthropometric muscle cross-sectional area (muscle CSA anthro ) was predicted using the following equation: muscle CSA anthro = π[ r - (SF T /2)] 2 , where r = thigh circumference/2π. MRI analysis yielded whole thigh CSA (thigh CSA MRI ), midthigh muscle CSA (muscle CSA MRI ), midthigh absolute muscle CSA after subtracting intramuscular fat and bone (muscle CSA-IMF MRI ), subcutaneous adipose tissue (SAT T ) measured at one site as well as at four sites, and bone CSA. Anthropometric measurements were correlated to the thigh CSA MRI [ r 2 = 0.90, standard error of the estimate (SEE) = 17.6 cm 2 , P anthro was correlated to muscle CSA MRI ( r 2 = 0.78, SEE = 16.6 cm 2 , P MRI ( r 2 = 0.75, SEE = 17.6 cm 2 , P T was correlated to the polar four-site SAT T ( r 2 = 0.78, SEE = 0.37 cm, P predicted = π[(Thigh circum /2π) - (SF T /2)] 2 - 23.2. Anthropometric…

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Metadata

Authors
Wade, R. C., & Gorgey, A. S.
Affiliations
  • Hunter Holmes McGuire VA Medical Center (US)
  • Virginia Commonwealth University (US)
Corresponding author
Gorgey, Ashraf S.
Venue
Journal of Applied Physiology
Published
2017-05-01
Volume
122
Issue
5
Pages
1255-1261
ISSN
  • 0161-7567 (ISSN-L)
  • 8750-7587
  • 1522-1601
OpenAlex
W2594364626
Cited by
18
References
3
Citations by year
2025: 2 · 2024: 1 · 2023: 3 · 2022: 2 · 2021: 3 · 2019: 3 · 2018: 3 · 2017: 1
FWCI
1.42
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Applied Physiology (publishedVersion)
  • PubMed (publishedVersion)
Funders
Department of Veteran Affairs (B7867)
Topics
  • Health Sciences › Medicine › Physiology (medical) › Body Composition Measurement Techniques
  • Health Sciences › Medicine › Clinical Neurology › Spinal Cord Injury Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Muscle Physiology and Disorders
Keywords
spinal cord injury, muscle cross-sectional area, anthropometric prediction, thigh muscle, skinfold thickness, thigh circumference, subcutaneous adipose tissue, intramuscular fat, bone cross-sectional area, field equations, motor complete injury, chronic spinal cord injury, magnetic resonance imaging validation, muscle atrophy
MeSH terms
Adult, Anthropometry, Femur, Humans, Magnetic Resonance Imaging, Male, Skinfold Thickness, Spinal Cord Injuries, Thigh, Muscle, Skeletal, Anatomy, Cross-Sectional

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CoChat. (2026). Citation check: Anthropometric prediction of skeletal muscle cross-sectional area in persons with spinal cord injury. https://app.cochat.ai/papers/10.1152/japplphysiol.01042.2016
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Wade, R. C., & Gorgey, A. S. (2017). Anthropometric prediction of skeletal muscle cross-sectional area in persons with spinal cord injury. Journal of Applied Physiology. https://doi.org/10.1152/japplphysiol.01042.2016