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Related Experiment Video

Updated: Jun 29, 2025

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
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Objective comparison of commonly used computed tomography body composition analysis software.

Alain R Viddeleer1, Issi R Vedder1, Ronald Dob1

  • 1Medical Imaging Center, Department of Radiology, University Medical Center Groningen, Groningen, Netherlands.

Nutrition (Burbank, Los Angeles County, Calif.)
|April 6, 2024
PubMed
Summary

Seven sarcopenia analysis software packages yield identical results for body composition analysis, ensuring consistent data for meta-analysis. One package showed minor deviations, impacting comparability.

Keywords:
AnalysisBody compositionComparisonFrailtySarcopenia, Muscle massSoftwareValidation

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Area of Science:

  • Medical imaging analysis
  • Sarcopenia research
  • Body composition assessment

Background:

  • Sarcopenia, an age-related loss of muscle mass and strength, is a significant predictor of adverse outcomes in various diseases.
  • Accurate body composition analysis using computed tomography (CT) is crucial for sarcopenia research and clinical management.
  • Global efforts to establish standardized cutoff values for sarcopenia rely on meta-analyses of diverse studies, necessitating comparable data.

Purpose of the Study:

  • To objectively compare the performance of eight commonly used software packages for body composition analysis in CT images.
  • To determine if measurements obtained from different software are interchangeable for sarcopenia research and meta-analysis.

Main Methods:

  • Eight leading software packages were evaluated using a standardized synthetic CT image with known muscle and fat compartments.
  • Measurements of area and radiodensity for predefined regions of interest were performed using each software.
  • The accuracy and consistency of the results from each package were assessed against the known values.

Main Results:

  • Seven software packages (sliceOmatic, OsiriX, ImageJ/Fiji, Mimics, CoreSlicer, SarcoMeas, and 3D Slicer) produced identical and accurate measurements for muscle and fat areas and radiodensities.
  • Aquarius iNtuition demonstrated slight deviations (≤ 5%) in area measurements and minor variations in radiodensity values compared to the other seven packages.

Conclusions:

  • Seven of the evaluated software packages demonstrate high consistency, allowing for the direct comparison and combination of their body composition analysis results.
  • The findings support the use of these seven software packages in sarcopenia research and meta-analysis, promoting data standardization.
  • Users should be aware of potential minor discrepancies when using Aquarius iNtuition for area measurements in sarcopenia-related body composition analysis.