Evidence map›Paper›PMID 31367086›Full record

ArticleThe Indian journal of radiology & imaging

Pelvic muscle size and myosteatosis: Relationship with age, gender, and obesity.

Thomas Pacicco, Shayna Ratner, Yin Xi, Takeshi Yokoo, David Fetzer, Orhan K Oz, Craig D Rubin, Avneesh Chhabra

Open access · diamondAbstract read
In one paragraph

Article in The Indian journal of radiology & imaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Thomas PaciccoRadiology, UT Southwestern Medical Center, Dallas, TX, USA.
Shayna RatnerRadiology, UT Southwestern Medical Center, Dallas, TX, USA.
Yin XiRadiology, UT Southwestern Medical Center, Dallas, TX, USA.
Takeshi YokooRadiology, UT Southwestern Medical Center, Dallas, TX, USA.
David FetzerRadiology, UT Southwestern Medical Center, Dallas, TX, USA.
Orhan K OzRadiology, UT Southwestern Medical Center, Dallas, TX, USA.
Craig D RubinGeriatric Division, Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA.
Avneesh ChhabraRadiology, UT Southwestern Medical Center, Dallas, TX, USA.
Southwestern Medical CenterThe University of Texas Southwestern Medical Center · USSouthwestern Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate interreader performance in the measurement of the cross-sectional area and myosteatosis of pelvic skeletal muscles using fat quantification magnetic resonance imaging (MRI) and correlate with patient anthropomorphic characteristics. MATERIALS AND

methodsA Health Insurance Portability and Accountability Act-compliant retrospective cross-sectional study was performed. Between January and April 2016, 61 patients (26 males and 35 females) underwent a lumbosacral plexus 3T MRI with a modified three-dimensional spoiled gradient echo sequence dedicated to fat quantification (mDixon Quant; Philips Healthcare). Two independent reviewers outlined muscle cross-sectional area on axial images using a freehand region of interest tool and documented proton-density fat fraction (FF) and muscle area (cm

resultsExcellent interreader agreement was obtained (ICC ≥0.74) for all muscle groups except for the left gluteus medius area and right psoas FF which showed good agreement (0.65 and 0.61, respectively). Statistically significant (

conclusionFat quantification MRI is a highly reproducible imaging technique for the assessment of myosteatosis and muscle size. Intramuscular FF and cross-sectional area were correlated with age and BMI across multiple muscle groups.

Indexed as

AdultsfatmeasurementMRImuscular

Identifiers

PMID31367086
PMCPMC6639865
OpenAlexW2960386861

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.