Evidence map›Paper›PMID 40172709›Full record

ArticleJournal of neurology2025

Natural history of facioscapulohumeral muscular dystrophy evaluated by multiparametric quantitative MRI: a prospective cohort study.

M Paoletti, M Monforte, L Barzaghi, G Tasca, N Bergsland, A Faggioli, F Solazzo, G Manco, S Bortolani, E Torchia and 8 more

Abstract read
In one paragraph

Article in Journal of neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Whole-Body Pattern of Muscle Degeneration and Progression in Sarcoglycanopathies.Annals of clinical and translational neurology · 2026
    Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

M Paoletti *Advanced Imaging and Artificial Intelligence, Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy.
M Monforte *Dipartimento di Neuroscienze, Organi di Senso e Torace, UOC di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo Agostino Gemelli, 8, 00168, Rome, Italy. mauro.monforte@policlinicogemelli.it.ORCID http://orcid.org/0000-0002-4327-6969
L BarzaghiAdvanced Imaging and Artificial Intelligence, Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy.
G TascaJohn Walton Muscular Dystrophy Research Centre, Newcastle University and Newcastle Hospitals NHS Foundation Trusts, Newcastle Upon Tyne, UK.
N BergslandDepartment of Neurology, Jacobs School of Medicine and Biomedical Sciences, Buffalo Neuroimaging Analysis Center, University of Buffalo, the State University of New York, Buffalo, NY, USA.
A FaggioliAdvanced Imaging and Artificial Intelligence, Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy.
F SolazzoAdvanced Imaging and Artificial Intelligence, Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy.
G MancoAdvanced Imaging and Artificial Intelligence, Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy.
S BortolaniDipartimento di Neuroscienze, Organi di Senso e Torace, UOC di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo Agostino Gemelli, 8, 00168, Rome, Italy.
E TorchiaUniversità Cattolica del Sacro Cuore, Rome, Italy.
B RaveraUniversità Cattolica del Sacro Cuore, Rome, Italy.
X DeligianniDepartment of Radiology, University Hospital Basel, Basel, Switzerland.
F SantiniDepartment of Radiology, University Hospital Basel, Basel, Switzerland.
E BallanteDepartment of Political and Social Sciences, University of Pavia, Pavia, Italy.
S FiginiDepartment of Political and Social Sciences, University of Pavia, Pavia, Italy.
T TartaglioneUniversità Cattolica del Sacro Cuore, Rome, Italy.
E Ricci *Dipartimento di Neuroscienze, Organi di Senso e Torace, UOC di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Largo Agostino Gemelli, 8, 00168, Rome, Italy.
A Pichiecchio *Advanced Imaging and Artificial Intelligence, Neuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy.

Funding

Ministero della Salute RF-2016-02362914
6 · The paper itself

Abstract

backgroundFacioscapulohumeral muscular dystrophy (FSHD) is a genetic disorder characterized by progressive skeletal muscle wasting. Longitudinal muscle magnetic resonance imaging (MRI) studies demonstrated that the risk of developing irreversible fatty replacement is higher in muscles showing edematous lesions. The quantification of this phenomenon is an understudied topic in FSHD and intramuscular water content can also represent a potential biomarker sensitive to the effect of investigational drugs. We applied a multiparametric quantitative muscle MRI protocol to assess disease progression quantifying fatty replacement and muscle edema over 2 years, using fat fraction (FF) and water-T2 (wT2) metrics.

methodsThirty FSHD patients with at least one muscle showing signs of edema on conventional MRI were enrolled. FF and wT2 maps were assessed in 12 thigh and 6 leg muscles for each side, and a linear mixed model was employed to explore their variations over time. The measurements were acquired at baseline, 12, and 24 months. Quantitative MRI parameters were also correlated with clinical scales and functional assessments collected at baseline.

resultsThe average yearly increase in FF was 2 ± 0.6% at thigh level and 1.9 ± 0.7% at leg level. No significant longitudinal changes in wT2 were observed. Muscles with intermediate FF (15-30%) at baseline and those with baseline wT2 values above 41 ms showed the highest increase in fat replacement. Both FF and wT2 showed significant correlations with clinical scales and functional assessments.

conclusionsOur longitudinal study identified muscles and compartments more likely to show FF increase in FSHD subjects. Multiparametric quantitative MRI metrics should be incorporated into clinical trial frameworks to explore their potential in detecting early therapeutic effects.

Indexed as

Multiparametric Magnetic Resonance ImagingMuscle, SkeletalMuscular Dystrophy, FacioscapulohumeralAdultAgedCohort StudiesDisease ProgressionEdemaFemaleHumansLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesFat fractionFSHDImagingMuscleQMRIQuantitative MRIWT2

Identifiers

PMID40172709
PMCPMC11965262

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.