title: Preclinical validation of automated dual-energy X-ray absorptiometry and computed tomography-based body composition measurements.
abstract: BACKGROUND
  The aim of this study was to determine and validate a set of Hounsfield unit (HU) ranges to segment computed tomography (CT) images into tissue types and to test the validity of dual-energy X-ray absorptiometry (DXA) tissue segmentation on pure, unmixed porcine tissues.
  
  
  METHODS
  This preclinical prospective study was approved by the local ethical committee. Different quantities of porcine bone tissue (BT), lean tissue (LT) and adipose tissue (AT) were scanned using DXA and CT. Tissue type segmentation in DXA was performed via the standard clinical protocol and in CT through different sets of HU ranges. Percent coefficients of variation (%CV) were used to assess precision while % differences of observed masses were tested against zero using the Wilcoxon signed-rank Test.
  
  
  RESULTS
  Total mass DXA measurements differ little but significantly (P=0.016) from true mass, while total mass CT measurements based on literature values show non-significant (P=0.69) differences of 1.7% and 2.0%. BT mass estimates with DXA differed more from true mass (median -78.2 to -75.8%) than other tissue types (median -11.3 to -8.1%). Tissue mass estimates with CT and literature HU ranges showed small differences from true mass for every tissue type (median -10.4 to 8.8%).
  
  
  CONCLUSIONS
  The most suited method for automated tissue segmentation is CT and can become a valuable tool in quantitative nuclear medicine.
authors.affiliation: Department of Public Health and Primary Care, Kulak, KU Leuven campus Kortrijk, Kortrijk, Belgium - Hans.Pottel@kuleuven-kulak.be.
authors.forename: Joke
authors.initials: J
authors.lastname: Devriese
authors.forename: Laurence
authors.initials: L
authors.lastname: Beels
authors.forename: Christophe
authors.initials: C
authors.lastname: Van De Wiele
authors.forename: Alex
authors.initials: A
authors.lastname: Maes
authors.forename: Olivier
authors.initials: O
authors.lastname: Gheysens
authors.forename: Hans
authors.initials: H
authors.lastname: Pottel
mesh_terms: D015502:Absorptiometry, Photon; D000818:Animals; D001331:Automation; D001823:Body Composition; D007091:Image Processing, Computer-Assisted; D013552:Swine; D014057:Tomography, X-Ray Computed