Evidence map›Paper›PMID 35508609›Full record

ArticleScientific reports2022

Dynamic magnetic resonance imaging of muscle contraction in facioscapulohumeral muscular dystrophy.

Xeni Deligianni, Francesco Santini, Matteo Paoletti, Francesca Solazzo, Niels Bergsland, Giovanni Savini, Arianna Faggioli, Giancarlo Germani, Mauro Monforte, Enzo Ricci and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. 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
0.7field-weighted citation impact, top 34% of its field
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, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Compositional and Functional MRI of Skeletal Muscle: A Review.Journal of magnetic resonance imaging : JMRI · 2024
    Review
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

12 authors at 5 institutions in 3 countries.

Xeni DeligianniRadiology, Division of Radiological Physics, University Hospital of Basel, Petersgraben 4, 4031, Basel, Switzerland.
Francesco SantiniRadiology, Division of Radiological Physics, University Hospital of Basel, Petersgraben 4, 4031, Basel, Switzerland. francesco.santini@unibas.ch.
Matteo PaolettiNeuroradiology Department, Advanced Imaging and Radiomics Center, IRCCS Mondino Foundation, Pavia, Italy.
Francesca SolazzoSchool of Specialization in Clinical Pharmacology and Toxicology Center of Research in Medical Pharmacology, School of Medicine, University of Insubria, Varese, Italy.
Niels BergslandDepartment of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY, USA.
Giovanni SaviniNeuroradiology Department, Advanced Imaging and Radiomics Center, IRCCS Mondino Foundation, Pavia, Italy.
Arianna FaggioliNeuroradiology Department, Advanced Imaging and Radiomics Center, IRCCS Mondino Foundation, Pavia, Italy.
Giancarlo GermaniNeuroradiology Department, Advanced Imaging and Radiomics Center, IRCCS Mondino Foundation, Pavia, Italy.
Mauro MonforteUnità Operativa Complessa di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Enzo RicciUnità Operativa Complessa di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Giorgio TascaUnità Operativa Complessa di Neurologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Anna PichiecchioNeuroradiology Department, Advanced Imaging and Radiomics Center, IRCCS Mondino Foundation, Pavia, Italy.
Agostino Gemelli University Polyclinic · ITUniversity Hospital of Basel · CHDon Carlo Gnocchi Foundation · ITUniversity of Insubria · ITUniversity of Pavia · IT

Funding

Swiss National Science Foundation 320030_172876
6 · The paper itself

Abstract

Quantitative muscle MRI (water-T2 and fat mapping) is being increasingly used to assess disease involvement in muscle disorders, while imaging techniques for assessment of the dynamic and elastic muscle properties have not yet been translated into clinics. In this exploratory study, we quantitatively characterized muscle deformation (strain) in patients affected by facioscapulohumeral muscular dystrophy (FSHD), a prevalent muscular dystrophy, by applying dynamic MRI synchronized with neuromuscular electrical stimulation (NMES). We evaluated the quadriceps muscles in 34 ambulatory patients and 13 healthy controls, at 6-to 12-month time intervals. While a subgroup of patients behaved similarly to controls, for another subgroup the median strain decreased over time (approximately 57% over 1.5 years). Dynamic MRI parameters did not correlate with quantitative MRI. Our results suggest that the evaluation of muscle contraction by NMES-MRI is feasible and could potentially be used to explore the elastic properties and monitor muscle involvement in FSHD and other neuromuscular disorders.

Indexed as

Muscular Dystrophy, FacioscapulohumeralHumansMagnetic Resonance ImagingMuscle ContractionMuscle, SkeletalQuadriceps Muscle

Identifiers

PMID35508609
PMCPMC9068910
OpenAlexW4225410273

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.