Evidence map›Paper›PMID 34033127›Full record

ArticleMuscle & nerve2021

Three-dimensional quantitative muscle ultrasound in a healthy population.

Leon de Jong, Anton Nikolaev, Anna Greco, Gert Weijers, Chris L de Korte, Jurgen J Fütterer

Abstract read
In one paragraph

Article in Muscle & nerve, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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.

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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Review
  4. Article
  5. Article
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.

Leon de JongDepartment of Imaging, Nuclear Medicine and Anatomy, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
Anton NikolaevDepartment of Imaging, Nuclear Medicine and Anatomy, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
Anna GrecoDepartment of Neurology, Radboud University Medical Center, Nijmegen, The Netherlands.
Gert WeijersDepartment of Imaging, Nuclear Medicine and Anatomy, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
Chris L de KorteDepartment of Imaging, Nuclear Medicine and Anatomy, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
Jurgen J FüttererDepartment of Imaging, Nuclear Medicine and Anatomy, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

INTRODUCTION/

aimsQuantitative muscle ultrasound offers biomarkers that aid in the diagnosis, detection, and follow-up of neuromuscular disorders. At present, quantitative muscle ultrasound methods are 2D and are often operator and device dependent. The aim of this study was to combine an existing device independent method with an automated ultrasound machine and perform 3D quantitative muscle ultrasound, providing new normative data of healthy controls.

methodsIn total, 123 healthy volunteers were included. After physical examination, 3D ultrasound scans of the tibialis anterior muscle were acquired using an automated ultrasound scanner. Image postprocessing was performed to obtain calibrated echo intensity values based on a phantom reference.

resultsTibialis anterior muscle volumes of 61.2 ± 24.1 mL and 53.7 ± 22.7 mL were scanned in males and females, respectively. Echo intensity correlated with gender**, age**, fat fraction*, histogram kurtosis**, skewness* and standard deviation** (*P < .05, **P < .01). Outcome measures did not differ significantly for different acquisition presets. The 3D quantitative muscle ultrasound revealed the non-uniformity of echo intensity values over the length of the tibialis anterior muscle. DISCUSSION: Our method extended 2D measurements and confirmed previous findings. Our method and reported normative data of (potential) biomarkers can be used to study neuromuscular disorders.

Indexed as

Imaging, Three-DimensionalUltrasonographyAdultBiomarkersFemaleHumansMaleMiddle AgedMuscle, SkeletalReproducibility of ResultsBiomarkersmuscle ultrasoundneuromuscular disordernormative dataquantitative ultrasound

Identifiers

PMID34033127
PMCPMC8361719

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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.