Population‐based cohort imaging: skeletal muscle mass by magnetic resonance imaging in correlation to bioelectrical‐impedance analysis
Lena S. Kiefer, Jana Fabian, Susanne Rospleszcz, Roberto Lorbeer, Jürgen Machann, Mareen Sarah Kraus, Marc Fischer, Frank W. Roemer, Wolfgang Rathmann, Christa Meisinger, Margit Heier, Konstantin Nikolaou, Annette Peters, Corinna Storz, Christopher L. Schlett, Fabian Bamberg
Abstract
Abstract Background 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. Methods 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 height 2 (abdominal muscle mass indices: AMMI MRI ). Results Among 335 included subjects (56.3 ± 9.1 years, 56.1% male), 95 (28.4%) were obese (BMI ≥ 30 kg/m 2 ). MRI‐based and BIA‐based measures of muscle mass were strongly correlated, particularly in non‐obese subjects [ r < 0.74 in non‐obese ( P < 0.001) vs. r < 0.56 in obese ( P < 0.001)]. Median AMMI Total(MRI) was significantly higher in obese as compared with non‐obese subjects (3246.7 ± 606.1 mm 2 /m 2 vs. 2839.0 ± 535.8 mm 2 /m 2 , P < 0.001, respectively), whereas the ratio AMMI Fat‐free /AMMI Total (by MRI) was significantly higher in non‐obese individuals (59.3 ± 10.1% vs. 53.5 ± 10.6%, P < 0.001, respectively). No significant difference was found regarding AMMI Fat‐free(MRI) ( P = 0.424). In analyses adjusted for age and sex, impaired glucose tolerance and measures of obesity were significantly and positively associated with AMMI Total(MRI) and significantly and inversely with the ratio AMMI Fat‐free(MRI) /AMMI Total(MRI) ( P < 0.001). Conclusions MRI‐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.