Please use this identifier to cite or link to this item: http://ahro.austin.org.au/austinjspui/handle/1/11426
Title: Estimating dual-energy X-ray absorptiometry-derived total body skeletal muscle mass using single-slice abdominal magnetic resonance imaging in obese subjects with and without diabetes: a pilot study.
Authors: Baker, S T;Strauss, B J;Prendergast, L A;Panagiotopoulos, Sianna;Thomas, G E;Vu, T;Proietto, Joseph;Jerums, George
Affiliation: Endocrine Centre, Austin Health, Heidelberg Repatriation Hospital Campus, Heidelberg West, Victoria, Australia
Issue Date: 25-Jan-2012
Citation: European Journal of Clinical Nutrition 2012; 66(5): 628-32
Abstract: Single-slice abdominal computed tomography or magnetic resonance imaging (MRI) performed to measure visceral adipose tissue in individuals with obesity and diabetes mellitus can also image skeletal muscle. The aim of this study was to validate a method developed in cancer patients using a single abdominal cross-sectional image to estimate fat-free mass (FFM) and appendicular lean tissue mass index (LTMI), a total body skeletal muscle mass surrogate, in an obese cohort of subjects with and without type 2 diabetes.In total, 49 obese subjects (22 with diabetes) recruited into a weight loss study underwent dual-energy X-ray absorptiometry (DXA) and abdominal MRI at baseline. DXA-derived FFM and LTMI were compared with skeletal muscle area at the level of the third lumbar vertebra (L3) on MRI.L3 skeletal muscle area correlated with FFM (R (adj) (2)=0.825; P<0.001) and LTMI (R (adj) (2)=0.6; P<0.001). A simple formula, previously shown to predict LTMI in cancer patients, produced a good estimation of LTMI from L3 skeletal muscle area (95% confidence interval -3.70, 2.56%) in our obese cohort. Equations incorporating age, sex, height, weight and diabetic status improved the relationship between L3 skeletal muscle area and estimated FFM (r=0.976, P<0.001) and LTMI (r=0.879, P<0.001).A single-axial slice at the L3 level can be used to estimate FFM and LTMI in obese diabetic and non-diabetic subjects, allowing precise analysis of body composition using a single imaging modality in clinical research and practice.
Internal ID Number: 22274551
URI: http://ahro.austin.org.au/austinjspui/handle/1/11426
DOI: 10.1038/ejcn.2012.3
ORCID: 0000-0002-0845-0001
URL: http://www.ncbi.nlm.nih.gov/pubmed/22274551
Type: Journal Article
Subjects: Abdomen
Absorptiometry, Photon.methods
Body Composition
Body Fluid Compartments.radiography
Cohort Studies
Diabetes Mellitus, Type 2.complications
Female
Humans
Intra-Abdominal Fat
Lumbar Vertebrae
Magnetic Resonance Imaging.methods
Male
Mathematical Concepts
Middle Aged
Muscle, Skeletal.pathology.radiography
Obesity.complications.pathology
Pilot Projects
Appears in Collections:Journal articles

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