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Standardizing quantitative muscle MRI: an inter-vendor evaluation in healthy adults

  • Johanna Thomä
  • , Lionel Butry
  • , Martijn Froeling
  • , Marco Meixner
  • , Johannes Forsting
  • , Lara Schlaffke*
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Objectives: Quantitative muscle MRI (qMRI) is applied to detect muscular alterations, particularly in neuromuscular diseases (NMDs). As studies on rare NMDs benefit from multi-center designs, inter-vendor reproducibility must be assessed to ensure data comparability. However, manufacturer-related variability has been limited investigated. This study evaluates inter-vendor reproducibility of qMRI parameters in healthy subjects. Methods: Ten healthy volunteers were investigated within 1 week on two 3T MRI systems (Siemens, Philips). Twelve leg muscles were analyzed using Dixon (fat fraction, FF), T2 mapping (water T2, wT2), and diffusion-weighted-sequence (diffusion parameters: fractional anisotropy (FA), mean, radial, axial diffusivity [MD, RD, λ1]). Reproducibility was assessed using intraclass correlation coefficient (ICC), within-subject coefficients of variation, t tests, and Bland–Altman analysis. Results: ICCs demonstrated moderate to excellent reproducibility for most parameters (ICCFF = 0.923, ICCwT2 = 0.792, ICCFA = 0.777, ICCMD = 0.708, ICCRD = 0.850), except for λ1 (ICC = 0.361). Significant inter-vendor differences were observed for all parameters (p < 0.05), with systematic biases ranging from 44.2% for FF to 3.6% for FA. Discussion: qMRI parameters were generally reproducible in healthy volunteers. However, absolute values differed between manufacturers and require correction. These differences should be considered to minimize manufacturer-related discrepancies and to facilitate data pooling in multi-center and longitudinal studies.

Original languageEnglish
Pages (from-to)631-643
JournalMagma - Magnetic Resonance Materials In Physics Biology And Medicine
Volume39
Early online date12 Feb 2026
DOIs
Publication statusPublished - Aug 2026

Keywords

  • Magnet resonance imaging
  • Medical imaging
  • Muscle tissue
  • Reproducibility of results

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