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

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Authors: Johanna Thomä, Lionel Butry, Martijn Froeling, Marco Meixner, Johannes Forsting, Lara Schlaffke
Cited by: 0
References: 62

Abstract

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, λ 1 ]). 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 (ICC FF = 0.923, ICC wT2 = 0.792, ICC FA = 0.777, ICC MD = 0.708, ICC RD = 0.850), except for λ 1 (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.

Fields of Study & Subjects

Advanced MRI Techniques and Applications Muscle Physiology and Disorders Advanced Neuroimaging Techniques and Applications

Publication details

Journal / source
Magnetic Resonance Materials in Physics Biology and Medicine
Volume
39
Issue
4
Pages
631–643
Publication date
12 February 2026
Language
EN