Evidence map›Paper›PMID 31295936›Full record

ArticleMethods and protocols2019

Validity of Ultrasound Imaging Versus Magnetic Resonance Imaging for Measuring Anterior Thigh Muscle, Subcutaneous Fat, and Fascia Thickness.

Filippo Mechelli, Lars Arendt-Nielsen, Maria Stokes, Sandra Agyapong-Badu

Registry-linked trialAbstract read
In one paragraph

Article in Methods and protocols, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04721431 (The Affect of Obesity to Muscle Tone and Viscoelastic Properties), which is not on this map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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.

NCT04721431 nacompletednot on this mapstarted 2020, after this paper: background citation

The Affect of Obesity to Muscle Tone and Viscoelastic Properties

TypeinterventionalSponsorHasan Kalyoncu UniversityRan2020 to 2021Enrolled300ConditionsBody Fat Disorder, Obesity, Muscular Tone, ViscoelasticityArmsMyotonometric assessment
3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Trial
  2. Sex-specific predictive equations for estimating trochanteric soft tissue thickness across body positions and imaging modalities.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 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

4 authors.

Filippo MechelliCentre of Sensory Motor Interaction, Department of Health Science and Technology, School of Medicine, University of Aalborg, 9220 Aalborg, Denmark. fmechelli@gmail.com.
Lars Arendt-NielsenCentre of Sensory Motor Interaction, Department of Health Science and Technology, School of Medicine, University of Aalborg, 9220 Aalborg, Denmark.
Maria StokesSchool of Health Sciences, University of Southampton, Southampton SO17 1BJ, UK.
Sandra Agyapong-BaduSchool of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Edgbaston B15 2TT, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to determine the validity of ultrasound (US) imaging versus magnetic resonance imaging (MRI) for measuring anterior thigh muscle, subcutaneous adipose tissue (SAT), and fascia thickness. Twenty healthy, moderately active participants (aged 49.1 ± 9.74 [36-64] years), underwent imaging of the anterior thigh, using ultrasound and MRI modalities on the same day. Images were analyzed offline to assess the level of agreement between US and MRI measurements. Pearson's correlation coefficient showed an excellent relationship between US imaging and MRI for measuring muscle (r = 0.99,

Indexed as

fascia thicknessMRImuscle thicknessrectus femorissubcutaneous adipose tissue thicknessultrasound imagingvalidityvastus intermedius

Identifiers

PMID31295936
PMCPMC6789827

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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.