Evidence map›Paper›PMID 31654124›Full record

ArticleEuropean journal of applied physiology2019

A clinically applicable tool for rapidly estimating muscle volume using ultrasound images.

Daniel T Rothwell, Daniel T P Fong, Sarah A Stapley, David J Williams

Open access · hybridAbstract read
In one paragraph

Article in European journal of applied physiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 7 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

4 authors at 2 institutions in 1 country.

Daniel T RothwellNational Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK. d.rothwell@lboro.ac.uk.ORCID http://orcid.org/0000-0002-5602-0217
Daniel T P FongNational Centre for Sport and Exercise Medicine, School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK.ORCID http://orcid.org/0000-0001-7314-189X
Sarah A StapleyAcademic Department of Military Surgery and Trauma, Royal Centre for Defence Medicine, Birmingham, UK.
David J WilliamsWolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough, UK.ORCID http://orcid.org/0000-0002-4943-8543
Loughborough University · GBRoyal Navy · GB

Funding

Engineering and Physical Sciences Research Council EP EP/N509516/1
6 · The paper itself

Abstract

purposeThis study aimed to identify a safe, rapid, and accessible method of estimating muscle volume of key lower limb muscle groups to reduce the time-demand of acquiring this measurement and potentially facilitate its application as a clinical monitoring tool.

methodsUnilateral MRI images were acquired from the 12th thoracic vertebrae to the base of the foot in 18 recreationally active males. Panoramic B-mode ultrasound images were acquired from the same leg at the mid-hip, 25%, 50%, and 75% of thigh length, and 25% of shank length. Body mass, height, limb lengths, and circumferences at the sites corresponding to the ultrasound images were acquired. A single investigator manually analysed all images. Regression analyses were conducted to identify models for estimating volume of the hip extensor, knee extensor and flexor, and ankle plantarflexor muscle groups.

resultsModels were developed for estimating hip extensor (SEE = 8.92%, R

conclusionsHip extensor, knee extensor and flexor, and ankle plantarflexor muscle group volumes can be estimated using B-mode ultrasound images and anthropometric measurements. The error shown for each of the models was sufficient to identify previously reported differences in muscle volume due to training or injury, supporting their clinical application.

Indexed as

AdultAnkleAnkle JointFootHipHip JointHumansKneeKnee JointMaleMuscle ContractionMuscle, SkeletalUltrasonographyClinical applicationMuscle groupMuscle sizeMusculoskeletal imagingUltrasound

Identifiers

PMID31654124
PMCPMC6858406
OpenAlexW2981329656

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.