Evidence map›Paper›PMID 33478467›Full record

ArticleBMC musculoskeletal disorders2021

New insights into intrinsic foot muscle morphology and composition using ultra-high-field (7-Tesla) magnetic resonance imaging.

Melinda M Franettovich Smith, James M Elliott, Aiman Al-Najjar, Kenneth A Weber, Mark A Hoggarth, Bill Vicenzino, Paul W Hodges, Natalie J Collins

Open access · goldAbstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 15 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

8 authors at 5 institutions in 2 countries.

Melinda M Franettovich SmithSchool of Health and Rehabilitation Sciences, The University of Queensland, 4072, Brisbane, QLD, Australia. melinda.smith@uq.edu.au.
James M ElliottSchool of Health and Rehabilitation Sciences, The University of Queensland, 4072, Brisbane, QLD, Australia.
Aiman Al-NajjarCentre for Advanced Imaging, The University of Queensland, 4072, Brisbane, QLD, Australia.
Kenneth A WeberSystems Neuroscience and Pain Lab, Division of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, USA.
Mark A HoggarthDepartment of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, USA.
Bill VicenzinoSchool of Health and Rehabilitation Sciences, The University of Queensland, 4072, Brisbane, QLD, Australia.
Paul W HodgesSchool of Health and Rehabilitation Sciences, The University of Queensland, 4072, Brisbane, QLD, Australia.
Natalie J CollinsSchool of Health and Rehabilitation Sciences, The University of Queensland, 4072, Brisbane, QLD, Australia.
University of Queensland · AUCenter for Pain and the Brain · USLa Trobe University · AUNorthern Sydney Local Health District · AUNorthwestern University · US

Funding

Neuroimaging-Based Brain and Spinal Cord Biomarkers for Cervical RadiculopathyK23NS104211 · NINDS · STANFORD UNIVERSITY · PI WEBER, KENNETH ARNOLD · 2018 to 2022
$875k
National Health and Medical Research Council of Australia APP1091302 and APP1102905NINDS NIH HHS K23 NS104211NINDS NIH HHS K23NS104211 and L30NS108301NINDS NIH HHS L30 NS108301University of Queensland UQFEL1832429
6 · The paper itself

Abstract

backgroundThe intrinsic muscles of the foot are key contributors to foot function and are important to evaluate in lower limb disorders. Magnetic resonance imaging (MRI), provides a non-invasive option to measure muscle morphology and composition, which are primary determinants of muscle function. Ultra-high-field (7-T) magnetic resonance imaging provides sufficient signal to evaluate the morphology of the intrinsic foot muscles, and, when combined with chemical-shift sequences, measures of muscle composition can be obtained. Here we aim to provide a proof-of-concept method for measuring intrinsic foot muscle morphology and composition with high-field MRI.

methodsOne healthy female (age 39 years, mass 65 kg, height 1.73 m) underwent MRI. A T1-weighted VIBE - radio-frequency spoiled 3D steady state GRE - sequence of the whole foot was acquired on a Siemens 7T MAGNETOM scanner, as well as a 3T MAGNETOM Prisma scanner for comparison. A high-resolution fat/water separation image was also acquired using a 3D 2-point DIXON sequence at 7T. Coronal plane images from 3T and 7T scanners were compared. Using 3D Slicer software, regions of interest were manually contoured for each muscle on 7T images. Muscle volumes and percentage of muscle fat infiltration were calculated (muscle fat infiltration % = Fat/(Fat + Water) x100) for each muscle.

resultsCompared to the 3T images, the 7T images provided superior resolution, particularly at the forefoot, to facilitate segmentation of individual muscles. Muscle volumes ranged from 1.5 cm

conclusionsThis proof-of-concept study demonstrates a feasible method of quantifying muscle morphology and composition for individual intrinsic foot muscles using advanced high-field MRI techniques. This method can be used in future studies to better understand intrinsic foot muscle morphology and composition in healthy individuals, as well as those with lower disorders.

Indexed as

Magnetic Resonance ImagingMuscle, SkeletalAdultFemaleFootHumansSoftwareFootFoot coreMagnetic resonance imagingMorphologyMuscle fat infiltrationMuscle segmentationMusculoskeletal imagingPlantar intrinsic muscles

Identifiers

PMID33478467
PMCPMC7818930
OpenAlexW3120595062

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LicenceCC BY
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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.