Evidence map›Paper›PMID 26158115›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2015

Fiber orientation measurements by diffusion tensor imaging improve hydrogen-1 magnetic resonance spectroscopy of intramyocellular lipids in human leg muscles.

Sunil K Valaparla, Feng Gao, Giuseppe Daniele, Muhammad Abdul-Ghani, Geoffrey D Clarke

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2015. 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
0.5field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Trial
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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

5 authors at 2 institutions in 2 countries.

Sunil K ValaparlaUniversity of Texas Health Science Center , Research Imaging Institute, 7703 Floyd Curl Drive, San Antonio, Texas 78229-3900, United States ; University of Texas Health Science Center , Department of Radiology, 7703 Floyd Curl Drive, San Antonio, Texas 78229-3900, United States.
Feng GaoUniversity of Texas Health Science Center , Research Imaging Institute, 7703 Floyd Curl Drive, San Antonio, Texas 78229-3900, United States.
Giuseppe DanieleUniversity of Texas Health Science Center , Department of Medicine, Diabetes Division, 7703 Floyd Curl Drive, San Antonio, Texas 78229-3900, United States ; University of Pisa , Department of Endocrinology, Via Paradisa 2, Pisa 56124, Italy.
Muhammad Abdul-GhaniUniversity of Texas Health Science Center , Department of Medicine, Diabetes Division, 7703 Floyd Curl Drive, San Antonio, Texas 78229-3900, United States.
Geoffrey D ClarkeUniversity of Texas Health Science Center , Research Imaging Institute, 7703 Floyd Curl Drive, San Antonio, Texas 78229-3900, United States ; University of Texas Health Science Center , Department of Radiology, 7703 Floyd Curl Drive, San Antonio, Texas 78229-3900, United States.
The University of Texas Health Science Center at San Antonio · USUniversity of Pisa · IT

Funding

Imaging Biomarkers for Evaluating Mitochondrial Function in DiabetesK25DK089012 · NIDDK · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI CLARKE, GEOFFREY DAVID · 2011 to 2013
$481k
NIDDK NIH HHS K25 DK089012
6 · The paper itself

Abstract

Twelve healthy subjects underwent hydrogen-1 magnetic resonance spectroscopy ([Formula: see text]) acquisition ([Formula: see text]), diffusion tensor imaging (DTI) with a [Formula: see text]-value of [Formula: see text], and fat-water magnetic resonance imaging (MRI) using the Dixon method. Subject-specific muscle fiber orientation, derived from DTI, was used to estimate the lipid proton spectral chemical shift. Pennation angles were measured as 23.78 deg in vastus lateralis (VL), 17.06 deg in soleus (SO), and 8.49 deg in tibialis anterior (TA) resulting in a chemical shift between extramyocellular lipids (EMCL) and intramyocellular lipids (IMCL) of 0.15, 0.17, and 0.19 ppm, respectively. IMCL concentrations were [Formula: see text], [Formula: see text], and [Formula: see text] in SO, VL, and TA, respectively. Significant differences were observed in IMCL and EMCL pairwise comparisons in SO, VL, and TA ([Formula: see text]). Strong correlations were observed between total fat fractions from [Formula: see text] and Dixon MRI for VL ([Formula: see text]), SO ([Formula: see text]), and TA ([Formula: see text]). Bland-Altman analysis between fat fractions (FFMRS and FFMRI) showed good agreement with small limits of agreement (LoA): [Formula: see text] (LoA: [Formula: see text] to 0.69%) in VL, [Formula: see text] (LoA: [Formula: see text] to 1.33%) in SO, and [Formula: see text] (LoA: [Formula: see text] to 0.47%) in TA. The results of this study demonstrate the variation in muscle fiber orientation and lipid concentrations in these three skeletal muscle types.

Indexed as

chemical shiftdiffusion tensor imagingintramyocellular lipidspennation angleproton magnetic resonance spectroscopysoleustibialis anteriortwo-point Dixon magnetic resonance imagingvastus lateralis

Identifiers

PMID26158115
PMCPMC4478933
OpenAlexW1941967215

What OpenQuestion holds

Textmetadata
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.