Evidence map›Paper›PMID 31026060›Full record

ReviewMuscle & nerve2019

Advancements in magnetic resonance imaging-based biomarkers for muscular dystrophy.

Doris G Leung

Registry-linked trialAbstract readReview
In one paragraph

Review in Muscle & nerve, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07502989 (Convenient Quantification of Myopathic Change in Muscle Via Electrical Impedance Myography), which is not on this map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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.

NCT07502989 recruitingnot on this mapstarted 2025, after this paper: background citation

Convenient Quantification of Myopathic Change in Muscle Via Electrical Impedance Myography

Typeobservational_patient_registrySponsorBeth Israel Deaconess Medical CenterRan2025 to 2027Enrolled150ConditionsMyopathy, Muscular Dystrophies, Myositis, Myofibrillar MyopathyArmsElectrical Impedance Myography
3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Multiparametric quantitative magnetic resonance imaging of skeletal muscle in CKD.American journal of physiology. Renal physiology · 2025
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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

1 author.

Doris G LeungCenter for Genetic Muscle Disorders, Hugo W. Moser Research Institute at Kennedy Krieger Institute, 716 North Broadway, Room 411, Baltimore, Maryland, 21205.ORCID 0000-0002-2558-7798

Funding

Magnetic resonance imaging and spectroscopy biomarkers for facioscapulohumeral muscular dystrophyK23NS091379 · NINDS · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI LEUNG, DORIS G · 2015 to 2019
$885k
NINDS NIH HHS K23 NS091379
6 · The paper itself

Abstract

Recent years have seen steady progress in the identification of genetic muscle diseases as well as efforts to develop treatment for these diseases. Consequently, sensitive and objective new methods are required to identify and monitor muscle pathology. Magnetic resonance imaging offers multiple potential biomarkers of disease severity in the muscular dystrophies. This Review uses a pathology-based approach to examine the ways in which MRI and spectroscopy have been used to study muscular dystrophies. Methods that have been used to quantitate intramuscular fat, edema, fiber orientation, metabolism, fibrosis, and vascular perfusion are examined, and this Review describes how MRI can help diagnose these conditions and improve upon existing muscle biomarkers by detecting small increments of disease-related change. Important challenges in the implementation of imaging biomarkers, such as standardization of protocols and validating imaging measurements with respect to clinical outcomes, are also described.

Indexed as

Adipose TissueDiffusion Magnetic Resonance ImagingEdemaElasticity Imaging TechniquesFibrosisHumansMagnetic Resonance ImagingMuscle Fibers, SkeletalMuscle, SkeletalMuscular DystrophiesPerfusion Imagingmagnetic resonance imagingmagnetic resonance spectroscopymuscular dystrophyoutcome measuresquantitative imagingskeletal muscle biomarkers

Identifiers

PMID31026060
PMCPMC8132307

What OpenQuestion holds

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Registered trials

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.