Evidence map›Paper›PMID 19763830›Full record

ArticleAnnals of biomedical engineering2009

Myofiber ellipticity as an explanation for transverse asymmetry of skeletal muscle diffusion MRI in vivo signal.

Dimitrios C Karampinos, Kevin F King, Bradley P Sutton, John G Georgiadis

Open access · greenAbstract read
In one paragraph

Article in Annals of biomedical engineering, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

35 citing papers in PubMed, 60 citations in OpenAlex.

  1. Trial
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  5. Article
  6. Magnetic Resonance Imaging Biomarkers of Muscle.Tomography (Ann Arbor, Mich.) · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Diffusion MRI fiber diameter for muscle denervation assessment.Quantitative imaging in medicine and surgery · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Paraspinal Muscle DTI Metrics Predict Muscle Strength.Journal of magnetic resonance imaging : JMRI · 2019
    Article
  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

4 authors at 3 institutions in 1 country.

Dimitrios C KarampinosDepartment of Mechanical Science & Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Kevin F King
Bradley P Sutton
John G Georgiadis
University of Illinois Urbana-Champaign · USApplied Sciences Laboratory (United States) · USUrbana University · US

Funding

Muscle quality, exercise and weight loss in older women: A quantitative MRI studR21HL090455 · NHLBI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI GEORGIADIS, JOHN G · 2007 to 2009
$667k
NHLBI NIH HHS R21 HL090455NHLBI NIH HHS R21HL090455
6 · The paper itself

Abstract

Due to its unique non-invasive microstructure probing capabilities, diffusion tensor imaging (DTI) constitutes a valuable tool in the study of fiber orientation in skeletal muscles. By implementing a DTI sequence with judiciously chosen directional encoding to quantify in vivo the microarchitectural properties in the calf muscles of three healthy volunteers at rest, we report that the secondary eigenvalue is significantly higher than the tertiary eigenvalue, a phenomenon corroborated by prior DTI findings. Toward a physics-based explanation of this phenomenon, we propose a composite medium model that accounts for water diffusion in the space within the muscle fiber and the extracellular space. The muscle fibers are abstracted as cylinders of infinite length with an elliptical cross section, the latter closely approximating microstructural features well documented in prior histological studies of excised muscle. The range of values of fiber ellipticity predicted by our model agrees with these studies, and the spatial orientation of the cross-sectional ellipses is consistent with local muscle strain fields and the putative direction of lateral transmission of stress between fibers in certain regions in three antigravity muscles (Tibialis Anterior, Soleus, and Gastrocnemius), as well as independent measurements of deformation in active calf muscles. As a metric, fiber cross-sectional ellipticity may be useful for quantifying morphological changes in skeletal muscle fibers with aging, hypertrophy, or sarcopenia.

Indexed as

AlgorithmsModels, AnatomicModels, BiologicalAnisotropyComputer SimulationDiffusion Magnetic Resonance ImagingImage EnhancementImage Interpretation, Computer-AssistedMuscle Fibers, SkeletalReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID19763830
PMCPMC6617521
OpenAlexW2089998288

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.