Evidence map›Paper›PMID 30620292›Full record

ArticleClinical and experimental rheumatology

Correlation between quantitative and semiquantitative magnetic resonance imaging and histopathology findings in dermatomyositis.

José César Milisenda, María Victoria Collado, Iago Pinal-Fernandez, Andres Hormaza Jaramillo, Marie Faruch Bilfeld, María Dolores Cano, Ana Isabel García, Xavier Tomás, Josep María Grau

Open access · greenAbstract readComparative Study
In one paragraph

Article in Clinical and experimental rheumatology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 15 citations in OpenAlex.

  1. Lumbar MRI-Based Deep Learning for Osteoporosis Prediction.Diagnostics (Basel, Switzerland) · 2026
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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

9 authors at 5 institutions in 5 countries.

José César MilisendaMuscle Research Unit, Internal Medicine Service, Hospital Clínic de Barcelona, Universidad de Barcelona IDIBAPS and CIBERER, Barcelona, Spain. jcmilise@clinic.cat.
María Victoria ColladoRheumatology Service, Instituto de Investigaciones Médicas Alfredo Lanari (UBA), Buenos Aires, Argentina.
Iago Pinal-FernandezMuscle Diseases Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland, USA.
Andres Hormaza JaramilloRheumatology Service, Fundación Valle del Lili, Cali, Colombia.
Marie Faruch BilfeldRadiology DepartmenT, CHU Toulouse Purpan, Toulouse, France.
María Dolores CanoPathology DepartmenT, Hospital Clínic de Barcelona, Spain.
Ana Isabel GarcíaMuscle Research Unit, Radiology Department, Hospital Clínic de Barcelona, Universidad de Barcelona, Spain.
Xavier TomásMuscle Research Unit, Radiology Department. Hospital Clínic de Barcelona, Universidad de Barcelona, Spain.
Josep María GrauMuscle Research Unit, Internal Medicine Service, Hospital Clínic de Barcelona, Universidad de Barcelona IDIBAPS and CIBERER, Barcelona, Spain.
Hospital Clínic de Barcelona · ESFundación Valle del Lili · COHôpital Purpan · FRInstituto de Diagnóstico e Investigaciones Metabólicas · ARNational Institute of Arthritis and Musculoskeletal and Skin Diseases · US

Funding

Intramural NIH HHS Z99 AR999999
6 · The paper itself

Abstract

objectivesThe aim of this study was to compare muscle biopsy findings, as well as clinical and analytical features, with those of magnetic resonance imaging (MRI) studies of muscle in patients with dermatomyositis.

methodsAll patients from the Longitudinal Myopathy Cohort of the Hospital Clínic de Barcelona were prospectively included in the study from 2009 to 2016. MRI images of muscle and fascial oedema were compared with muscle pathology results using both quantitative and semi-quantitative scores.

resultsWe found a statistically significant association between the inflammatory infiltrate and both muscle (r2=0.54, p=0.001) and fascial oedema (r2=0.54, p<0.001). In addition, muscle oedema was significantly associated with punched-out vacuoles (p=0.04) and muscle enzymes in serum (r2=0.34, p=<0.01 for CK and r2=0.22, p<0.05 for aldolase). The number of treatment drugs received at the time of MRI was inversely associated with the number of muscle inflammatory cells in the biopsy and with both muscle and fascial oedema (all p<0.05).

conclusionsKey MRI findings correlate with the main features of dermatomyositis muscle biopsy results, suggesting that MRI findings could be used as a surrogate marker of disease activity.

Indexed as

DermatomyositisMagnetic Resonance ImagingMuscular DiseasesBiopsyEdemaHumansMuscle, Skeletal

Identifiers

PMID30620292
PMCPMC11678784
OpenAlexW2995345370

What OpenQuestion holds

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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.