Evidence map›Paper›PMID 37127427›Full record

ArticleJournal of cachexia, sarcopenia and muscle2023

Diffusion-tensor magnetic resonance imaging captures increased skeletal muscle fibre diameters in Becker muscular dystrophy.

Donnie Cameron, Tooba Abbassi-Daloii, Laura G M Heezen, Nienke M van de Velde, Zaïda Koeks, Thom T J Veeger, Melissa T Hooijmans, Salma El Abdellaoui, Sjoerd G van Duinen, Jan J G M Verschuuren and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 22 citations in OpenAlex.

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  12. Magnetic Resonance Imaging Biomarkers of Muscle.Tomography (Ann Arbor, Mich.) · 2024
    Review
  13. Compositional and Functional MRI of Skeletal Muscle: A Review.Journal of magnetic resonance imaging : JMRI · 2024
    Review
  14. Article
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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

16 authors at 2 institutions in 1 country.

Donnie CameronC.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-9841-6909
Tooba Abbassi-DaloiiDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-4904-3269
Laura G M HeezenDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-0789-0347
Nienke M van de VeldeDepartment of Neurology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-1541-130X
Zaïda KoeksDepartment of Neurology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-4721-4965
Thom T J VeegerC.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-8153-8862
Melissa T HooijmansRadiology and Nuclear Medicine, Amsterdam University Medical Center, University of Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands.ORCID 0000-0002-2233-1383
Salma El AbdellaouiDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Sjoerd G van DuinenDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-4682-8869
Jan J G M VerschuurenDepartment of Neurology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-4572-1501
Maaike van PuttenDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-0683-8897
Annemieke Aartsma-RusDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-1565-654X
Vered RazDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-3152-1952
Pietro SpitaliDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-2783-688X
Erik H NiksDepartment of Neurology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0001-5892-5143
Hermien E KanC.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-5772-7177
Leiden University Medical Center · NLAmsterdam Neuroscience · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBecker muscular dystrophy (BMD) is an X-linked disorder characterized by slow, progressive muscle damage and muscle weakness. Hallmarks include fibre-size variation and replacement of skeletal muscle with fibrous and adipose tissues, after repeated cycles of regeneration. Muscle histology can detect these features, but the required biopsies are invasive, are difficult to repeat and capture only small muscle volumes. Diffusion-tensor magnetic resonance imaging (DT-MRI) is a potential non-invasive alternative that can calculate muscle fibre diameters when applied with the novel random permeable barrier model (RPBM). In this study, we assessed muscle fibre diameters using DT-MRI in BMD patients and healthy controls and compared these with histology.

methodsWe included 13 BMD patients and 9 age-matched controls, who underwent water-fat MRI and DT-MRI at multiple diffusion times, allowing RPBM parameter estimation in the lower leg muscles. Tibialis anterior muscle biopsies were taken from the contralateral leg in 6 BMD patients who underwent DT-MRI and from an additional 32 BMD patients and 15 healthy controls. Laminin and Sirius-red stainings were performed to evaluate muscle fibre morphology and fibrosis. Twelve ambulant patients from the MRI cohort underwent the North Star ambulatory assessment, and 6-min walk, rise-from-floor and 10-m run/walk functional tests.

resultsRPBM fibre diameter was significantly larger in BMD patients (P = 0.015): mean (SD) = 68.0 (25.3) μm versus 59.4 (19.2) μm in controls. Inter-muscle differences were also observed (P ≤ 0.002). Both inter- and intra-individual RPBM fibre diameter variability were similar between groups. Laminin staining agreed with the RPBM, showing larger median fibre diameters in patients than in controls: 72.5 (7.9) versus 63.2 (6.9) μm, P = 0.006. However, despite showing similar inter-individual variation, patients showed more intra-individual fibre diameter variability than controls-mean variance (SD) = 34.2 (7.9) versus 21.4 (6.9) μm, P < 0.001-and larger fibrosis areas: median (interquartile range) = 21.7 (5.6)% versus 14.9 (3.4)%, P < 0.001. Despite good overall agreement of RPBM and laminin fibre diameters, they were not associated in patients who underwent DT-MRI and muscle biopsy, perhaps due to lack of colocalization of DT-MRI with biopsy samples.

conclusionsDT-MRI RPBM metrics agree with histology and can quantify changes in muscle fibre size that are associated with regeneration without the need for biopsies. They therefore show promise as imaging biomarkers for muscular dystrophies.

Indexed as

Muscular Dystrophy, DuchenneHumansLamininMagnetic Resonance ImagingMuscle Fibers, SkeletalMuscle, SkeletalLamininBecker muscular dystrophydiffusion-tensor MRIhistopathologyimmunohistochemistryskeletal muscle

Identifiers

PMID37127427
PMCPMC10235880
OpenAlexW4367626553

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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.