Evidence map›Paper›PMID 42853898›Full record

ArticleJournal of neuromuscular diseases2026

Combined qualitative and quantitative MRI reveals short-term progression in facioscapulohumeral muscular dystrophy.

Anna-Lena Mayer, Anika Starke, Valentina Schunk, Matthias Türk, Michael Uder, Arnd Dörfler, Armin M Nagel, Pierre-Yves Baudin, Elisabetta Gazzerro, Teresa Gerhalter

Abstract read
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Article in Journal of neuromuscular diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Anna-Lena MayerDepartment of Neuroradiology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany.
Anika StarkeInstitute of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany.
Valentina SchunkInstitute of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany.
Matthias TürkDepartment of Neurology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Michael UderInstitute of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany.
Arnd DörflerDepartment of Neuroradiology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany.
Armin M NagelInstitute of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany.
Pierre-Yves BaudinInstitute of Myology, Neuromuscular Investigation Center, NMR Laboratory, Paris, France.
Elisabetta GazzerroUniversity Outpatient Clinic for Muscle Disorders, ECRC, Charité and Max-Delbrück-Center for Molecular Medicine, Berlin, Germany.
Teresa GerhalterInstitute of Radiology, Universitätsklinikum Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Erlangen, Germany.ORCID 0000-0001-9734-4632

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Facioscapulohumeral muscular dystrophy (FSHD) is characterized by slowly progressive and heterogeneous muscle involvement; therefore, clinical measures show limited sensitivity to short-term change. Magnetic resonance imaging (MRI) provides useful biomarkers of muscle degeneration and disease activity. To investigate one-year longitudinal changes in lower leg muscles of patients with FSHD using qualitative (T1-weighted [T1w], STIR) and quantitative MRI (fat fraction [FF], water T2), and to assess their relationship with clinical function. Thirty-one patients with FSHD (21 men; age 44.2±17 years) and 30 matched controls underwent 3T MRI. Twenty-seven patients completed one-year follow-up. Semi-quantitative grading and quantitative measures were analyzed muscle-wise. Longitudinal changes and correlations with clinical scores were assessed. At baseline, T1w imaging showed marked inter- and intra-individual variability, with heterogeneous proximal-distal involvement in 22% of muscles and asymmetric involvement in 77% of patients. STIR hyperintensity was present in 25 patients. Over one-year, clinical decline was small (MRC: Δ=-0.26, p=0.018, SRM=-0.23; mobility: Δ=-0.41, p=0.031, SRM=-0.44). In contrast, quantitative MRI detected progression, with increases in FF (0.17±0.13 to 0.22±0.15, p<0.001, SRM=0.87), FF heterogeneity, and water T2 heterogeneity, while T1w scores and mean water T2 showed limited change. Progression was greatest in muscles with intermediate baseline FF (ΔFF/year: 0.049 vs 0.007, p<0.001). Baseline STIR and water T2 abnormalities predicted increases in FF but not T1w scores. FF correlated more strongly with clinical measures than T1w grading. Quantitative MRI is more sensitive than qualitative grading for detecting short-term disease progression in FSHD. Measures of heterogeneity and disease activity predict structural progression and represent promising biomarkers for clinical trials.

Indexed as

fat fractionFSHDlongitudinal studyMRC scoreSTIRT1w MRIT2 mapping

Identifiers

PMID42853898
PMCPMC13654013

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.