Evidence map›Paper›PMID 30496308›Full record

SynthesisPloS one2018

Quantifying skeletal muscle volume and shape in humans using MRI: A systematic review of validity and reliability.

Christelle Pons, Bhushan Borotikar, Marc Garetier, Valérie Burdin, Douraied Ben Salem, Mathieu Lempereur, Sylvain Brochard

3 registry-linked trialsAbstract readSystematic Review
In one paragraph

Synthesis in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 56 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 4 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.

NCT05091502 nacompletednot on this mapstarted 2022, after this paper: background citation

ForceLoss: Part I - Healthy Volunteers. Development and Validation of Methods to Generate Personalised Models for the Differential Diagnosis of the Loss of Muscle Force

TypeinterventionalSponsorIstituto Ortopedico RizzoliRan2022 to 2022Enrolled20ConditionsHealthyArmsPersonalised musculoskeletal modeling
NCT05795348 nacompletednot on this mapstarted 2023, after this paper: background citation

ForceLoss: Part II - Osteoarthritic Patients. Development and Validation of Methods to Generate Personalised Models for the Differential Diagnosis of the Loss of Muscle Force

TypeinterventionalSponsorIstituto Ortopedico RizzoliRan2023 to 2024Enrolled20ConditionsOsteoarthritis, KneeArmsPersonalised Musculoskeletal Modeling
NCT07502989 recruitingnot on this mapstarted 2025, after this paper: background citation

Convenient Quantification of Myopathic Change in Muscle Via Electrical Impedance Myography

Typeobservational_patient_registrySponsorBeth Israel Deaconess Medical CenterRan2025 to 2027Enrolled150ConditionsMyopathy, Muscular Dystrophies, Myositis, Myofibrillar MyopathyArmsElectrical Impedance Myography
3 · Its place in the literature

Who cites it

56 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  16. Childhood muscle growth: Reference curves for lower leg muscle volumes and their clinical application in cerebral palsy.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Article
  18. Article
  19. Compositional and Functional MRI of Skeletal Muscle: A Review.Journal of magnetic resonance imaging : JMRI · 2024
    Review
  20. 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

7 authors.

Christelle PonsPediatric rehabilitation department, Fondation ILDYS, Brest, France.ORCID 0000-0003-3924-6035
Bhushan BorotikarLaboratoire de Traitement de l'Information Médicale, INSERM, Brest, France.ORCID 0000-0002-3404-6547
Marc GaretierLaboratoire de Traitement de l'Information Médicale, INSERM, Brest, France.
Valérie BurdinLaboratoire de Traitement de l'Information Médicale, INSERM, Brest, France.ORCID 0000-0001-6012-9883
Douraied Ben SalemLaboratoire de Traitement de l'Information Médicale, INSERM, Brest, France.
Mathieu LempereurLaboratoire de Traitement de l'Information Médicale, INSERM, Brest, France.
Sylvain BrochardPediatric rehabilitation department, Fondation ILDYS, Brest, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe aim of this study was to report the metrological qualities of techniques currently used to quantify skeletal muscle volume and 3D shape in healthy and pathological muscles.

methodsA systematic review was conducted (Prospero CRD42018082708). PubMed, Web of Science, Cochrane and Scopus databases were searched using relevant keywords and inclusion/exclusion criteria. The quality of the articles was evaluated using a customized scale.

resultsThirty articles were included, 6 of which included pathological muscles. Most evaluated lower limb muscles. Partially or completely automatic and manual techniques were assessed in 10 and 24 articles, respectively. Manual slice-by-slice segmentation reliability was good-to-excellent (n = 8 articles) and validity against dissection was moderate to good(n = 1). Manual slice-by-slice segmentation was used as a gold-standard method in the other articles. Reduction of the number of manually segmented slices (n = 6) provided good to excellent validity if a sufficient number of appropriate slices was chosen. Segmentation on one slice (n = 11) increased volume errors. The Deformation of a Parametric Specific Object (DPSO) method (n = 5) decreased the number of manually-segmented slices required for any chosen level of error. Other automatic techniques combined with different statistical shape or atlas/images-based methods (n = 4) had good validity. Some particularities were highlighted for specific muscles. Except for manual slice by slice segmentation, reliability has rarely been reported.

conclusionsThe results of this systematic review help the choice of appropriate segmentation techniques, according to the purpose of the measurement. In healthy populations, techniques that greatly simplified the process of manual segmentation yielded greater errors in volume and shape estimations. Reduction of the number of manually segmented slices was possible with appropriately chosen segmented slices or with DPSO. Other automatic techniques showed promise, but data were insufficient for their validation. More data on the metrological quality of techniques used in the cases of muscle pathology are required.

Indexed as

HumansMagnetic Resonance ImagingMuscle, SkeletalOrgan SizeReproducibility of Results

Identifiers

PMID30496308
PMCPMC6264864

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.