title: Evaluation of DXA vs. MRI for body composition measures in 1-month olds.
abstract: BACKGROUND
  Detailed measures of infant body composition are needed for understanding the impact of genes and environment on growth early in life.
  
  
  OBJECTIVE
  The purpose of this study was to compare the accuracy and bias of body composition in infants.
  
  
  METHODS
  Dual energy X-ray absorptiometry (DXA) and magnetic resonance imaging (MRI) were used to determine body composition and the trunk depot. The depots measured were total fat mass (FM), total fat-free mass (FFM) and trunk FM and FFM using DXA and MRI in 14 infants.
  
  
  RESULTS
  None of the regression lines between DXA and MRI significantly deviate from the line of identity for any of the depots studied. However, Bland-Altman analyses revealed bias for trunk FM and trunk FFM.
  
  
  CONCLUSIONS
  Our data showed DXA to be accurate (regression not significantly deviating from the line of identity), with high agreement (indicated by high R(2) ) and without bias (non-significant Bland-Altman) when estimating total FM and FFM. This could not be said for trunk estimates.
authors.affiliation: CMRI Metabolic Research Program, the Harold Hamm Diabetes Center, Section of Endocrinology and Diabetes, Department of Pediatrics, University of Oklahoma Health Sciences, Oklahoma City, OK, USA.
authors.forename: D A
authors.initials: DA
authors.lastname: Fields
authors.affiliation: CMRI Metabolic Research Program, the Harold Hamm Diabetes Center, Section of Endocrinology and Diabetes, Department of Pediatrics, University of Oklahoma Health Sciences, Oklahoma City, OK, USA.
authors.forename: A M
authors.initials: AM
authors.lastname: Teague
authors.affiliation: CMRI Metabolic Research Program, the Harold Hamm Diabetes Center, Section of Endocrinology and Diabetes, Department of Pediatrics, University of Oklahoma Health Sciences, Oklahoma City, OK, USA.
authors.forename: K R
authors.initials: KR
authors.lastname: Short
authors.affiliation: CMRI Metabolic Research Program, the Harold Hamm Diabetes Center, Section of Endocrinology and Diabetes, Department of Pediatrics, University of Oklahoma Health Sciences, Oklahoma City, OK, USA.
authors.forename: S D
authors.initials: SD
authors.lastname: Chernausek
mesh_terms: D015502:Absorptiometry, Photon; D000273:Adipose Tissue; D001823:Body Composition; D017097:Electric Impedance; D005260:Female; D006801:Humans; D007223:Infant; D016014:Linear Models; D008279:Magnetic Resonance Imaging; D008297:Male; D015203:Reproducibility of Results
keywords: Body composition; fat mass; fat-free mass; growth; validation
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