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Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
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Reproducibility and repeatability of MRI-based body composition analysis.

Magnus Borga1,2,3, André Ahlgren3, Thobias Romu3

  • 1Department of Biomedical Engineering, Linköping University, Linköping, Sweden.

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|June 11, 2020
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Summary

This study demonstrates that MRI body composition analysis is reproducible across different scanners and repeatable within scanners. The method minimizes scanner variability, aiding clinical study power calculations.

Keywords:
MRIbody composition analysischemical shift encoded MRIfat fractionrepeatabilityreproducibilitywater-fat imaging

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Area of Science:

  • Medical imaging
  • Radiology
  • Body composition analysis

Background:

  • Reproducibility studies for MRI-based body composition analysis are lacking in current literature.
  • Standardized methods are needed to ensure reliable body composition measurements across different MRI scanners.

Purpose of the Study:

  • To assess the between-scanner reproducibility and within-scanner repeatability of an MRI-based body composition analysis method.
  • To evaluate the impact of scanner differences on body composition measurements.

Main Methods:

  • Eighteen healthy volunteers underwent MRI scans on five scanners (1.5T and 3T) from three vendors.
  • Measurements included visceral adipose tissue (VAT) volume, abdominal subcutaneous adipose tissue (ASAT) volume, thigh muscle volume, muscle fat infiltration (MFI), and liver proton density fat fraction (PDFF).
  • Analysis of variance was used to calculate repeatability and reproducibility coefficients.

Main Results:

  • Repeatability coefficients ranged from 0.53% (MFI) to 24 cl (ASAT).
  • Reproducibility coefficients ranged from 1.44% (MFI) to 42 cl (ASAT).
  • Within-scanner repeatability accounted for a significant portion of the overall reproducibility for most measures.

Conclusions:

  • The investigated MRI method demonstrates good repeatability and reproducibility across different scanners.
  • The method effectively minimizes scanner-induced variability, making it suitable for clinical applications and power calculations.
  • Both assessed methods for liver fat quantification showed similar reproducibility.