Evidence map›Paper›PMID 25429308›Full record

ArticleImaging in medicine2011

Diffusion-Tensor MRI Based Skeletal Muscle Fiber Tracking.

Bruce M Damon, Amanda K W Buck, Zhaohua Ding

Abstract read
In one paragraph

Article in Imaging in medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Trial
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  5. Article
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  11. Article
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  13. Discovering fiber type architecture over the entire muscle using data-driven analysis.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2021
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease.Journal of visualized experiments : JoVE · 2016
    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

3 authors.

Bruce M DamonInstitute of Imaging Science, Vanderbilt University, Nashville TN USA ; Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville TN USA ; Department of Biomedical Engineering, Vanderbilt University, Nashville TN USA ; Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville TN USA ; Program in Chemical and Physical Biology, Vanderbilt University, Nashville TN USA.
Amanda K W BuckInstitute of Imaging Science, Vanderbilt University, Nashville TN USA ; Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville TN USA.
Zhaohua DingInstitute of Imaging Science, Vanderbilt University, Nashville TN USA ; Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville TN USA ; Department of Biomedical Engineering, Vanderbilt University, Nashville TN USA ; Program in Chemical and Physical Biology, Vanderbilt University, Nashville TN USA ; Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville TN USA.

Funding

Postdoctoral Training in Biomedical MRI and MRST32EB001628 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI John C Gore · 2003 to 2026
$7.0M
Biophysical Basis of Muscle Functional MRIR01AR050101 · NIAMS · VANDERBILT UNIVERSITY · PI DAMON, BRUCE M. · 2005 to 2014
$3.1M
NMR RELAXATION MECHANISMS IN EXERCISING MUSCLEF32AR008614 · NIAMS · YALE UNIVERSITY · PI DAMON, BRUCE M · 2001 to 2002
$79k
NIAMS NIH HHS F32 AR008614NIAMS NIH HHS R01 AR050101NIBIB NIH HHS T32 EB001628
6 · The paper itself

Abstract

A skeletal muscle's function is strongly influenced by the internal organization and geometric properties of its fibers, a property known as muscle architecture. Diffusion-tensor magnetic resonance imaging-based fiber tracking provides a powerful tool for non-invasive muscle architecture studies, has three-dimensional sensitivity, and uses a fixed frame of reference. Significant advances have been made in muscle fiber tracking technology, including defining seed points for fiber tracking, quantitatively characterizing muscle architecture, implementing denoising procedures, and testing validity and repeatability. Some examples exist of how these data can be integrated with those from other advanced MRI and computational methods to provide novel insights into muscle function. Perspectives are offered regarding future directions in muscle diffusion-tensor imaging, including needs to develop an improved understanding for the microstructural basis for reduced and anisotropic diffusion, establish the best practices for data acquisition and analysis, and integrate fiber tracking with other physiological data.

Indexed as

DTIDT-MRImicrostructuremuscle mechanicsmuscle physiologyPennationstriated muscletractography

Identifiers

PMID25429308
PMCPMC4241547

What OpenQuestion holds

Textmetadata
LicenceTDM
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.