Evidence map›Paper›PMID 30897280›Full record

ArticleNMR in biomedicine2019

Magnetic resonance elastography of skeletal muscle deep tissue injury.

Jules L Nelissen, Ralph Sinkus, Klaas Nicolay, Aart J Nederveen, Cees W J Oomens, Gustav J Strijkers

Open access · hybridAbstract read
In one paragraph

Article in NMR in biomedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.6field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

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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

6 authors at 3 institutions in 2 countries.

Jules L NelissenBiomedical NMR, Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.ORCID 0000-0001-8840-6723
Ralph SinkusImage Sciences & Biomedical Engineering, King's College London, London, UK.ORCID 0000-0002-6093-1654
Klaas NicolayBiomedical NMR, Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.ORCID 0000-0002-4179-616X
Aart J NederveenDepartment of Radiology and Nuclear Medicine, Academic Medical Center, Amsterdam, The Netherlands.ORCID 0000-0002-5477-973X
Cees W J OomensSoft Tissue Engineering and Mechanobiology, Biomedical Engineering, Eindhoven University of Technology, The Netherlands.ORCID 0000-0002-3325-132X
Gustav J StrijkersBiomedical Engineering and Physics, Academic Medical Center, Amsterdam, The Netherlands.ORCID 0000-0001-6700-5058
Amsterdam UMC Location University of Amsterdam · NLEindhoven University of Technology · NLKing's College London · GB

Funding

Dutch Technology Foundation (STW) 12398Myo-MRI COST action BM1304-250716-080500
6 · The paper itself

Abstract

The current state-of-the-art diagnosis method for deep tissue injury in muscle, a subcategory of pressure ulcers, is palpation. It is recognized that deep tissue injury is frequently preceded by altered biomechanical properties. A quantitative understanding of the changes in biomechanical properties preceding and during deep tissue injury development is therefore highly desired. In this paper we quantified the spatial-temporal changes in mechanical properties upon damage development and recovery in a rat model of deep tissue injury. Deep tissue injury was induced in nine rats by two hours of sustained deformation of the tibialis anterior muscle. Magnetic resonance elastography (MRE), T

Indexed as

Elasticity Imaging TechniquesMagnetic Resonance ImagingAnimalsMuscle, SkeletalRats, Sprague-Dawleybiomechanical propertiesdeep tissue injurymagnetic resonance elastographyMRImuscle damagepressure woundskeletal pressure ulcer

Identifiers

PMID30897280
PMCPMC6593838
OpenAlexW2924045911

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.