Evidence map›Paper›PMID 37392410›Full record

ArticleMagnetic resonance in medicine2023

Double pulsed field gradient diffusion MRI to assess skeletal muscle microstructure.

D B Berry, V L Galinsky, E B Hutchinson, J P Galons, S R Ward, L R Frank

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Magnetic resonance in medicine, 2023. 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
–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

4 citing papers in PubMed.

  1. Article
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  3. Review
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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.

D B BerryDepartment of Orthopedic Surgery, University of California, San Diego, California, USA.ORCID 0000-0001-8275-8322
V L GalinskyCenter for Scientific Computation in Imaging, University of California, San Diego, San Diego, California, USA.
E B HutchinsonDepartment of Biomedical Engineering, University of Arizona, Tucson, Arizona, USA.
J P GalonsDepartment of Medical Imaging, University of Arizona, Tucson, Arizona, USA.
S R WardDepartment of Orthopedic Surgery, University of California, San Diego, California, USA.ORCID 0000-0002-4470-155X
L R FrankCenter for Scientific Computation in Imaging, University of California, San Diego, San Diego, California, USA.ORCID 0000-0001-7235-587X

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
New Quantitative Neuroimaging Metrics of Structural and Functional Connectivity of the Locus Coeruleus as a Novel Biomarker of Alzheimer's Disease Pathogenesis and ProgressionR01AG054049 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BONDI, MARK W, FRANK, LAWRENCE R · 2017 to 2021
$4.1M
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
Diffusion Imaging in Gray MatterR01MH096100 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FRANK, LAWRENCE R · 2012 to 2016
$1.9M
NIAMS NIH HHS R01 AR070830NIA NIH HHS R01 AG054049NIA NIH HHS R01 AG079280NIH HHS R01 AG054049NIH HHS R01 AR070830NIH HHS R01 MH096100NIMH NIH HHS R01 MH096100
6 · The paper itself

Abstract

purposePreliminary study to determine whether double pulsed field gradient (PFG) diffusion MRI is sensitive to key features of muscle microstructure related to function.

methodsThe restricted diffusion profile of molecules in models of muscle microstructure derived from histology were systematically simulated using a numerical simulation approach. Diffusion tensor subspace imaging analysis of the diffusion signal was performed, and spherical anisotropy (SA) was calculated for each model. Linear regression was used to determine the predictive capacity of SA on the fiber area, fiber diameter, and surface area to volume ratio of the models. Additionally, a rat model of muscle hypertrophy was scanned using a single PFG and a double PFG pulse sequence, and the restricted diffusion measurements were compared with histological measurements of microstructure.

resultsExcellent agreement between SA and muscle fiber area (r

conclusionsThis study demonstrates that SA-a scalar value from diffusion tensor subspace imaging analysis-is highly sensitive to muscle microstructural features predictive of function. Furthermore, these techniques and analysis tools can be translated to real experiments in skeletal muscle. The increased dynamic range of SA compared with fractional anisotropy in the same tissue suggests increased sensitivity to detecting changes in tissue microstructure.

Indexed as

Diffusion Magnetic Resonance ImagingMuscle, SkeletalAnimalsAnisotropyComputer SimulationDiffusion Tensor ImagingMuscle Fibers, SkeletalRatsdiffusion anisotropydiffusion tensor imaging (DTI)diffusion tensor subspace imaging (DiTSI)double pulsed field gradientskeletal muscle

Identifiers

PMID37392410
PMCPMC11390096

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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.