Evidence map›Paper›PMID 39031753›Full record

ReviewJournal of magnetic resonance imaging : JMRI2025

From Voxels to Physiology: A Review of Diffusion Magnetic Resonance Imaging Applications in Skeletal Muscle.

David B Berry, Joseph A Gordon, Vincent Adair, Lawrence R Frank, Samuel R Ward

Abstract readReview
In one paragraph

Review in Journal of magnetic resonance imaging : JMRI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Impact of Wrist and Finger Extension on Passive Joint Torques and Their Association with Forearm Flexor Muscle Structure in Hemiparetic Cerebral Palsy: Early Findings.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2025
    Article
  9. Article
  10. Article
  11. 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

5 authors.

David B BerryDepartment of Orthopaedic Surgery, University of California, San Diego, California, USA.ORCID https://orcid.org/0000-0001-8275-8322
Joseph A GordonDepartment of Orthopaedic Surgery, University of California, San Diego, California, USA.
Vincent AdairDepartment of Medicine, University of California, San Diego, California, USA.
Lawrence R FrankCenter for Scientific Computation in Imaging, University of California, San Diego, California, USA.
Samuel R WardDepartment of Orthopaedic Surgery, University of California, San Diego, California, USA.

Funding

Joint Estimate Diffusion Imaging (JEDI) for improved Tissue Characterization and Neural Connectivity in Aging and Alzheimer's DiseaseR01AG079280 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Mark W Bondi, LAWRENCE R FRANK · 2023 to 2026
$6.0M
Non Invasive Measurements of Muscle Microstructures Assessed by Diffusion Tensor ImagingR01AR070830 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI David Barnes Berry, LAWRENCE R FRANK · 2017 to 2026
$4.0M
Rheumatic Diseases Research Training GrantT32AR064194 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GARY S FIRESTEIN, Monica Guma · 2013 to 2026
$3.8M
National Institute of Health Sciences R01AG079280National Institute of Health Sciences R01AR070830National Institute of Health Sciences T32 AR64194-10NIAMS NIH HHS R01 AR070830NIAMS NIH HHS T32 AR064194NIA NIH HHS R01 AG079280
6 · The paper itself

Abstract

Skeletal muscle has a classic structure function relationship; both skeletal muscle microstructure and architecture are directly related to force generating capacity. Biopsy, the gold standard for evaluating muscle microstructure, is highly invasive, destructive to muscle, and provides only a small amount of information about the entire volume of a muscle. Similarly, muscle fiber lengths and pennation angles, key features of muscle architecture predictive of muscle function, are traditionally studied via cadaveric dissection. Noninvasive techniques such as diffusion magnetic resonance imaging (dMRI) offer quantitative approaches to study skeletal muscle microstructure and architecture. Despite its prevalence in applications for musculoskeletal research, clinical adoption is hindered by a lack of understanding regarding its sensitivity to clinically important biomarkers such as muscle fiber cross-sectional area. This review aims to elucidate how dMRI has been utilized to study skeletal muscle, covering fundamentals of muscle physiology, dMRI acquisition techniques, dMRI modeling, and applications where dMRI has been leveraged to noninvasively study skeletal muscle changes in response to disease, aging, injury, and human performance. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY: Stage 2.

Indexed as

Diffusion Magnetic Resonance ImagingMuscle, SkeletalAnimalsHumansdiffusiondiffusion tensor imagingdiffusion‐weighted imagingmuscle architecturemuscle microstructureskeletal muscle

Identifiers

PMID39031753
PMCPMC11659509

What OpenQuestion holds

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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.