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| Item Type: | Article |
|---|---|
| Title: | Effects of lipid-induced magnetic microstructure on fat fraction quantification in muscular dystrophies |
| Creators: |
Baudin, Pierre-Yves  ORCID: https://orcid.org/0000-0001-8955-4648, Reyngoudt, Harmen ORCID: https://orcid.org/0000-0002-0777-2711, Schunk, Valentina, Graf, Sina, Mayer, Anna-Lena, Starke, Anika, Roemer, Frank, Trollmann, Regina, Türk, Matthias ORCID: https://orcid.org/0000-0001-9812-3794, Dörfler, Arnd, Uder, Michael, Nagel, Armin M. ORCID: https://orcid.org/0000-0003-0948-1421, Rauh, Susanne S. ORCID: https://orcid.org/0000-0001-6526-7847, Gazzerro, Elisabetta ORCID: https://orcid.org/0000-0003-2428-0302, Marty, Benjamin ORCID: https://orcid.org/0000-0002-4983-647X and Gerhalter, Teresa ORCID: https://orcid.org/0000-0001-9734-4632
|
| Abstract: | PURPOSE: To study the impact of mesoscopic magnetic susceptibility heterogeneity on chemical shift-encoded (CSE) proton density fat-fraction (PDFF) quantification in muscular dystrophies, a subgroup of neuromuscular disorders. THEORY AND METHODS: In MRI, extramyocellular lipid deposits induce orientation-dependent Larmor frequency variations due to microstructural anisotropy, resulting in spatially varying frequency shifts between fat and water and increased transverse relaxation rates. A newly developed PDFF quantification method accounting for resonance shifts and dual R(2)* rates was applied on standard 6-point CSE acquisitions of Duchenne (n = 15), Becker (n = 31), and facioscapulohumeral (n = 30) muscular dystrophy patients, and control subjects (n = 40). The impact of frequency shifts, decay functions, and lipid models on PDFF estimation was systematically assessed. RESULTS: Accounting for resonance shifts resulted in large PDFF quantification differences compared to a reference method (−3.8% [−14.8%, 7.2%]), significantly improved fitting quality (Bayesian Information Criterion (BIC) difference ≥ 10), and reduced fat/water separation artifacts, confirming predictions by numerical simulations. Bias and variability due to the lipid model were reduced to less than 1%. Fitting quality in high R(2)* regions was further improved using a dual relaxation model with linear/quadratic decay (BIC difference ≥ 2). Sensitivity to change was improved on the tested cohorts (SRM increased by 0.18). DTI-estimated angular dependencies reflected theoretical and numerical predictions for elongated axially symmetric lipid deposits. CONCLUSION: The proposed approach improvements could enhance the PDFF quantification reliability in neuromuscular disorders studies and support more accurate monitoring of myosteatosis. |
| Keywords: | Chemical Shift-Encoded Fat-Water Imaging, Magnetic Microstructure, Magnetic Susceptibility, Muscular Dystrophies, Proton Density Fat Fraction |
| Source: | Magnetic Resonance in Medicine |
| ISSN: | 0740-3194 |
| Publisher: | Wiley / International Society for Magnetic Resonance in Medicine |
| Date: | 13 August 2026 |
| Official Publication: | https://doi.org/10.1002/mrm.70565 |
| PubMed: | View item in PubMed |
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