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Population-based cohort imaging: skeletal muscle mass by magnetic resonance imaging in correlation to bioelectrical-impedance analysis

Authors :
Lena S, Kiefer
Jana, Fabian
Susanne, Rospleszcz
Roberto, Lorbeer
Jürgen, Machann
Mareen S, Kraus
Marc, Fischer
Frank, Roemer
Wolfgang, Rathmann
Christa, Meisinger
Margit, Heier
Konstantin, Nikolaou
Annette, Peters
Corinna, Storz
Christopher L, Schlett
Fabian, Bamberg
Source :
Journal of cachexia, sarcopenia and muscle. 13(2)
Publication Year :
2021

Abstract

Skeletal muscle mass is subjected to constant changes and is considered a good predictor for outcome in various diseases. Bioelectrical-impedance analysis (BIA) and magnetic resonance imaging (MRI) are approved methodologies for its assessment. However, muscle mass estimations by BIA may be influenced by excess intramuscular lipids and adipose tissue in obesity. The objective of this study was to evaluate the feasibility of quantitative assessment of skeletal muscle mass by MRI as compared with BIA.Subjects from a population-based cohort underwent BIA (50 kHz, 0.8 mA) and whole-body MRI including chemical-shift encoded MRI (six echo times). Abdominal muscle mass by MRI was quantified as total and fat-free cross-sectional area by a standardized manual segmentation-algorithm and normalized to subjects' body heightAmong 335 included subjects (56.3 ± 9.1 years, 56.1% male), 95 (28.4%) were obese (BMI ≥ 30 kg/mMRI-based assessment of muscle mass is feasible in population-based imaging and strongly correlated with BIA. However, the observed weaker correlation in obese subjects may explain the known limitation of BIA in obesity and promote MRI-based assessments. Thus, skeletal muscle mass parameters by MRI may serve as practical imaging biomarkers independent of subjects' body weight.

Details

ISSN :
21906009
Volume :
13
Issue :
2
Database :
OpenAIRE
Journal :
Journal of cachexia, sarcopenia and muscle
Accession number :
edsair.pmid..........13c632ea1e82be3fc284a6295d6cb6b8