Evidence map›Paper›PMID 31974637›Full record

ArticleClinical neuroradiology2021

Quantitative Muscle MRI Protocol as Possible Biomarker in Becker Muscular Dystrophy.

Lorenzo Maggi, Marco Moscatelli, Rita Frangiamore, Federica Mazzi, Mattia Verri, Alberto De Luca, Maria Barbara Pasanisi, Giovanni Baranello, Irene Tramacere, Luisa Chiapparini and 3 more

Abstract read
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In one paragraph

Article in Clinical neuroradiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

13 authors.

Lorenzo MaggiNeuroimmunology and Neuromuscular Diseases Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy. lorenzo.maggi@istituto-besta.it.ORCID http://orcid.org/0000-0002-0932-5173
Marco MoscatelliNeuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Rita FrangiamoreNeuroimmunology and Neuromuscular Diseases Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Federica MazziNeuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Mattia VerriNeuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Alberto De LucaImage Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands.
Maria Barbara PasanisiNeuroimmunology and Neuromuscular Diseases Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Giovanni BaranelloDevelopmental Neurology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Irene TramacereDepartment of Research and Clinical Development, Scientific Directorate, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Luisa ChiappariniNeuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Maria Grazia BruzzoneNeuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Renato MantegazzaNeuroimmunology and Neuromuscular Diseases Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.
Domenico AquinoNeuroradiology Unit, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAim of this study is to compare Quantitative Magnetic Resonance Imaging (qMRI) measures between Becker Muscular Dystrophy (BMD) and Healthy Subjects (HS) and to correlate these parameters with clinical scores.

methodsTen BMD patients (mean age ±standard deviation: 38.7 ± 15.0 years) and ten age-matched HS, were investigated through magnetic resonance imaging (MRI) at thigh and calf levels, including: 1) a standard axial T1-weighted sequence; 2) a volumetric T2-weighted sequence; 3) a multiecho spin-echo sequence; 4) a 2-point Dixon sequence; 5) a Diffusion Tensor Imaging (DTI) sequence.

resultsMean Fat Fraction (FF), T2-relaxation time and Fractional Anisotropy (FA) DTI at thigh and calf levels were significantly higher in BMD patients than in HS (p-values < 0.01). FF at thigh and calf levels significantly correlated with North Star Ambulatory Assessment (NSAA) score (p-values < 0.01) and6 Minutes Walking Test (6MWT) (p-values < 0.01), whereas only calf muscle FF was significantly associated with time to get up from floor (p-value = 0.01). T2 significantly correlated with NSAA score (p-value < 0.01), 6MWT (p-value = 0.02) and time to get up from floor (p-value < 0.01) only at calf level. Among DTI values, only FA in thigh and calf muscles significantly correlated with NSAA score, 6MWT and 10-m walk (all p-values < 0.05); only FA in calf muscles significantly correlated with time to get up from floor (p = 0.01).

conclusionsMuscle FF, T2-relaxometry and DTI, seem to be a promising biomarker to assess BMD disease severity, although further studies are needed to evaluate changes over the time.

Indexed as

Muscular Dystrophy, DuchenneBiomarkersDiffusion Tensor ImagingHumansMagnetic Resonance ImagingMuscle, SkeletalBiomarkersBecker muscular dystrophyDiffusion tensor imagingFat fractionqMRIT2 relaxometry

Identifiers

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Registered trials

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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.