Evidence map›Paper›PMID 37929681›Full record

ReviewJournal of magnetic resonance imaging : JMRI2024

Compositional and Functional MRI of Skeletal Muscle: A Review.

Melissa T Hooijmans, Lara Schlaffke, Bart Bolsterlee, Sarah Schlaeger, Benjamin Marty, Valentina Mazzoli

Abstract readReview
In one paragraph

Review in Journal of magnetic resonance imaging : JMRI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

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

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  12. Higher lumbodorsal epimuscular fat associated with recurrent low back pain: an exploratory secondary analysis of cross-sectional MRI data with 1-year follow-up.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 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

6 authors.

Melissa T HooijmansDepartment of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands.ORCID 0000-0002-2233-1383
Lara SchlaffkeDepartment of Neurology BG-University Hospital Bergmannsheil, Ruhr-University Bochum, Bochum, Germany.ORCID 0000-0002-0716-3780
Bart BolsterleeNeuroscience Research Australia (NeuRA), Sydney, New South Wales, Australia.ORCID 0000-0001-8277-5026
Sarah SchlaegerDepartment of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.ORCID 0000-0002-2736-9225
Benjamin MartyInstitute of Myology, Neuromuscular Investigation Center, NMR Laboratory, Paris, France.ORCID 0000-0002-4983-647X
Valentina MazzoliDepartment of Radiology, Stanford University, Stanford, California, USA.ORCID 0000-0002-6700-8424

Funding

Quantitative assessment of early structural and functional changes in aging skeletal muscleR00AG071735 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MAZZOLI, VALENTINA · 2023 to 2025
$742k
Quantitative assessment of early structural and functional changes in aging skeletal muscleK99AG071735 · NIA · STANFORD UNIVERSITY · PI MAZZOLI, VALENTINA · 2021 to 2022
$206k
National Health and Medical Research Council APP1156394Nederlandse Wetenschappelijk Onderzoek 18103NIA NIH HHS K99 AG071735NIA NIH HHS K99AG07173501NIA NIH HHS K99AG07173502NIA NIH HHS R00 AG071735
6 · The paper itself

Abstract

Due to its exceptional sensitivity to soft tissues, MRI has been extensively utilized to assess anatomical muscle parameters such as muscle volume and cross-sectional area. Quantitative Magnetic Resonance Imaging (qMRI) adds to the capabilities of MRI, by providing information on muscle composition such as fat content, water content, microstructure, hypertrophy, atrophy, as well as muscle architecture. In addition to compositional changes, qMRI can also be used to assess function for example by measuring muscle quality or through characterization of muscle deformation during passive lengthening/shortening and active contractions. The overall aim of this review is to provide an updated overview of qMRI techniques that can quantitatively evaluate muscle structure and composition, provide insights into the underlying biological basis of the qMRI signal, and illustrate how qMRI biomarkers of muscle health relate to function in healthy and diseased/injured muscles. While some applications still require systematic clinical validation, qMRI is now established as a comprehensive technique, that can be used to characterize a wide variety of structural and compositional changes in healthy and diseased skeletal muscle. Taken together, multiparametric muscle MRI holds great potential in the diagnosis and monitoring of muscle conditions in research and clinical applications. EVIDENCE LEVEL: 5 TECHNICAL EFFICACY: Stage 2.

Indexed as

Magnetic Resonance ImagingMuscle, SkeletalHumansMuscle ContractionMuscular DiseasescompositionfunctionqMRIskeletal muscle

Identifiers

PMID37929681
PMCPMC11070452

What OpenQuestion holds

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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.