ReviewEuropean radiology2010
Neuromuscular imaging in inherited muscle diseases.
Review in European radiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04233255 (The Role of Neuromuscular Ultrasound in Diagnosis of Muscle Diseases), which is not on this map. Cited by 128 papers, 2 of them syntheses that pooled 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.
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.
The Role of Neuromuscular Ultrasound in Diagnosis of Muscle Diseases
Who cites it
128 citing papers in PubMed, 2 syntheses or guidelines pooled it, 319 citations in OpenAlex.
- [Expert recommendations for magnetic resonance imaging of muscle disorders].Radiologie (Heidelberg, Germany) · 2024Guideline
- Magnetic resonance imaging patterns of muscle involvement in genetic muscle diseases: a systematic review.Journal of neurology · 2017Pooled it
- Thigh muscle segmentation of chemical shift encoding-based water-fat magnetic resonance images: The reference database MyoSegmenTUM.PloS one · 2018Trial
- Multicenter prospective longitudinal study of magnetic resonance biomarkers in a large duchenne muscular dystrophy cohort.Annals of neurology · 2016Trial
- Combined qualitative and quantitative MRI reveals short-term progression in facioscapulohumeral muscular dystrophy.Journal of neuromuscular diseases · 2026Article
- Whole-Body Muscle MRI in Non-5q Spinal Muscular Atrophy: Patterns, Genotype Prediction, and Diagnostic Implications.Neurology. Genetics · 2026Article
- Beyond Biomarkers: Reclaiming the Central Role of Clinical Neurophysiology in Neuromuscular Disorders.Brain sciences · 2026Review
- Late-Onset Tay-Sachs Disease With SMALED-Like Muscle MRI Pattern Despite a Distinct Clinical Phenotype.Journal of the peripheral nervous system : JPNS · 2026Article
- Time-efficient coronal MRI reflects clinical and pathological features of myopathies.Journal of neuromuscular diseases · 2026Article
- Idiopathic inflammatory myopathies: a comprehensive review, new concepts on diagnostic imaging and whole-body MRI.European radiology · 2026Review
- [Expert recommendations for magnetic resonance imaging of muscle disorders].Der Nervenarzt · 2024Review
- Imaging spectrum of atraumatic muscle disorders: a radiologist's guide.Skeletal radiology · 2024Review
- Convolutional Neural Network-Based Automated Segmentation of Skeletal Muscle and Subcutaneous Adipose Tissue on Thigh MRI in Muscular Dystrophy Patients.Journal of functional morphology and kinesiology · 2024Article
- Exome sequencing in undiagnosed congenital myopathy reveals new genes and refines genes-phenotypes correlations.Genome medicine · 2024Article
- Classification of Muscular Dystrophies from MR Images Improves Using the Swin Transformer Deep Learning Model.Bioengineering (Basel, Switzerland) · 2024Article
- Contractile properties and magnetic resonance imaging-assessed fat replacement of muscles in myotonia congenita.European journal of neurology · 2024Article
- Neuromuscular imaging in clinical practice: an ESNR survey of 30 centers.Neuroradiology · 2024Article
- Severity of muscle impairment and its progression assessed using musculoskeletal magnetic resonance imaging and diffusion tension imaging in 78 boys with Duchenne muscular dystrophy: a retrospective study.Polish journal of radiology · 2024Article
- Ultrasonographic Features of Muscular Weakness and Muscle Wasting in Critically Ill Patients.Journal of clinical medicine · 2023Review
- A Straightforward Approach to Analyze Skeletal Muscle MRI in Limb-Girdle Muscular Dystrophy for Differential Diagnosis: A Systematic Review.Muscles (Basel, Switzerland) · 2023Review
68 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Driven by increasing numbers of newly identified genetic defects and new insights into the field of inherited muscle diseases, neuromuscular imaging in general and magnetic resonance imaging (MRI) in particular are increasingly being used to characterise the severity and pattern of muscle involvement. Although muscle biopsy is still the gold standard for the establishment of the definitive diagnosis, muscular imaging is an important diagnostic tool for the detection and quantification of dystrophic changes during the clinical workup of patients with hereditary muscle diseases. MRI is frequently used to describe muscle involvement patterns, which aids in narrowing of the differential diagnosis and distinguishing between dystrophic and non-dystrophic diseases. Recent work has demonstrated the usefulness of muscle imaging for the detection of specific congenital myopathies, mainly for the identification of the underlying genetic defect in core and centronuclear myopathies. Muscle imaging demonstrates characteristic patterns, which can be helpful for the differentiation of individual limb girdle muscular dystrophies. The aim of this review is to give a comprehensive overview of current methods and applications as well as future perspectives in the field of neuromuscular imaging in inherited muscle diseases. We also provide diagnostic algorithms that might guide us through the differential diagnosis in hereditary myopathies.
Indexed as
Identifiers
What OpenQuestion holds
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.