Evidence map›Paper›PMID 26010830›Full record

ArticlePloS one2015

Anisotropic Smoothing Improves DT-MRI-Based Muscle Fiber Tractography.

Amanda K W Buck, Zhaohua Ding, Christopher P Elder, Theodore F Towse, Bruce M Damon

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  10. Review
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.

Amanda K W BuckVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America.
Zhaohua DingVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, United States of America.
Christopher P ElderVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America.
Theodore F TowseVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Physical Medicine and Rehabilitation, Vanderbilt University, Nashville, Tennessee, United States of America.
Bruce M DamonVanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America; Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, Tennessee, United States of America.

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
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
NCATS NIH HHS 2 ULI TR000445-06NCATS NIH HHS UL1 TR000445NIAMS NIH HHS R01 AR050101NIBIB NIH HHS T32 EB001628
6 · The paper itself

Abstract

purposeTo assess the effect of anisotropic smoothing on fiber tracking measures, including pennation angle, fiber tract length, and fiber tract number in the medial gastrocnemius (MG) muscle in healthy subjects using diffusion-weighted magnetic resonance imaging (DW-MRI). MATERIALS AND

methods3T DW-MRI data were used for muscle fiber tractography in the MG of healthy subjects. Anisotropic smoothing was applied at three levels (5%, 10%, 15%), and pennation angle, tract length, fiber tract number, fractional anisotropy, and principal eigenvector orientation were quantified for each smoothing level.

resultsFiber tract length increased with pre-fiber tracking smoothing, and local heterogeneities in fiber direction were reduced. However, pennation angle was not affected by smoothing.

conclusionModest anisotropic smoothing (10%) improved fiber-tracking results, while preserving structural features.

Indexed as

Diffusion Magnetic Resonance ImagingDiffusion Tensor ImagingAdultAnisotropyFemaleHumansMaleMuscle Fibers, Skeletal

Identifiers

PMID26010830
PMCPMC4444336

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Registered trials

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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.