ArticleRMD open2019
MRI of skeletal muscles in patients with idiopathic inflammatory myopathies: characteristic findings and diagnostic performance in dermatomyositis.
Article in RMD open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.
- [Expert recommendations for magnetic resonance imaging of muscle disorders].Radiologie (Heidelberg, Germany) · 2024Guideline
- Magnetic resonance imaging changes of thigh muscles in dermatomyositis patients with anti-Mi2 antibody.Annals of medicine · 2026Article
- Acute Muscle Injury and Subcutaneous Edema in a Patient with Anti-nuclear Matrix Protein-2 Antibody Positive Dermatomyositis Sine Dermatitis.Internal medicine (Tokyo, Japan) · 2026Article
- Dermatomyositis masking late onset Pompe disease in a patient with proximal muscle weakness.Journal of neuromuscular diseases · 2026Article
- Idiopathic inflammatory myopathies: a comprehensive review, new concepts on diagnostic imaging and whole-body MRI.European radiology · 2026Review
- Myositis Mimics: Recognizing Red Flags and Diagnostic Pitfalls.Current rheumatology reports · 2026Review
- Semi-quantitative analyses of muscle magnetic resonance imaging for pattern recognition in early idiopathic inflammatory myopathies.Journal of neuromuscular diseases · 2026Article
- Magnetic resonance imaging for adult idiopathic inflammatory myopathies: A scoping review of protocols, grading systems and applications.Seminars in arthritis and rheumatism · 2025Article
- Clinicopathological profile of eosinophilic fasciitis: a retrospective cohort study from a neuromuscular disorder center in China.Arthritis research & therapy · 2025Article
- The feature and significance of lower limb MRI in adult myositis patients with anti-NXP2 antibody: a retrospective cohort study in China.Frontiers in medicine · 2025Article
- Anti-HMGCR myopathy: a first case report from North Africa and literature insights.Frontiers in immunology · 2025Review
- Shared and Distinctive Inflammation-Related Protein Profiling in Idiopathic Inflammatory Myopathy with/without Anti-MDA5 Autoantibodies.Journal of inflammation research · 2025Article
- The utility of muscle magnetic resonance imaging in idiopathic inflammatory myopathies: a scoping review.Frontiers in immunology · 2025Article
- [Expert recommendations for magnetic resonance imaging of muscle disorders].Der Nervenarzt · 2024Review
- Myofascial edema of gastrocnemius: A prominent MRI characteristic in dermatomyositis patients with anti-transcriptional intermediate factor 1-γ antibody.CNS neuroscience & therapeutics · 2024Observational
- Usefulness and Clinical Impact of Whole-Body MRI in Detecting Autoimmune Neuromuscular Disorders.Brain sciences · 2023Review
- Article
- Features of MRI honeycomb edema signals in cancer-associated dermatomyositis patients: a brief report.Clinical rheumatology · 2023Article
- Ultrasound and MR muscle imaging in new onset idiopathic inflammatory myopathies at diagnosis and after treatment: a comparative pilot study.Rheumatology (Oxford, England) · 2022Article
- Assessment of Thigh MRI Radiomics and Clinical Characteristics for Assisting in Discrimination of Juvenile Dermatomyositis.Journal of clinical medicine · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To define the characteristic findings on MRI of skeletal muscles in patients with dermatomyositis (DM) relative to those in patients with other idiopathic inflammatory myopathies (IIMs) and to assess their diagnostic performance in DM. Methods: Thirty-six patients with DM, 17 patients with amyopathic DM, 19 patients with polymyositis and 16 patients with non-IIM classified by the 2017 European League Against Rheumatism/American College of Rheumatology criteria were included in this study. The following MRI findings (short-tau inversion recovery [STIR] and gadolinium-enhanced fat-suppressed T1-weighted imaging [Gd-T1WI]) for proximal limb muscles were compared between the disease groups and between myositis-specific autoantibodies/myositis-associated autoantibodies (MSAs/MAAs)-positive and MSAs/MAAs-negative groups: structures with high signal intensity (HSI) (subcutaneous, fascia, muscle); distributions of HSI areas in muscle (diffuse, patchy, peripheral) and patterns of HSI in muscle (honeycomb, foggy, strong HSI). Univariate, multivariate and receiver-operating characteristic [ROC] analyses were performed to assess the diagnostic performance of MRI in DM. Results: The characteristic MRI findings in patients with DM were subcutaneous HSI, fascial HSI, peripheral distribution and honeycomb pattern. The MRI findings in the MSAs/MAAs-positive group included more frequent fascial HSI but less frequent foggy pattern compared with the MSAs/MAAs-negative group. Likelihood of DM score ≥ 3 (obtained by counting the number of characteristic MRI findings in patients with DM) showed good diagnostic performance in DM (STIR: sensitivity 72.2%, specificity 88.5%, area under ROC curve [AUC] 84.9%; Gd-T1WI: sensitivity 81.2%, specificity 91.5%, AUC 89.9%). Conclusion: The characteristic MRI findings of skeletal muscles can predict patients with DM as well as patients with MSAs/MAAs.
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.