Evidence map›Paper›PMID 32761398›Full record

ArticleMagma (New York, N.Y.)2021

Segmentation of the fascia lata and reproducible quantification of intermuscular adipose tissue (IMAT) of the thigh.

Oliver Chaudry, Andreas Friedberger, Alexandra Grimm, Michael Uder, Armin Michael Nagel, Wolfgang Kemmler, Klaus Engelke

Open access · hybridAbstract read
In one paragraph

Article in Magma (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 19 citations in OpenAlex.

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  11. Magnetic Resonance Imaging Biomarkers of Muscle.Tomography (Ann Arbor, Mich.) · 2024
    Review
  12. Journal of orthopaedic translation · 2023
    Review
  13. Article
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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

7 authors at 1 institution in 1 country.

Oliver ChaudryDepartment of Medicine 3, Friedrich-Alexander-Universität Erlangen-Nürnberg and University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Germany. oliver.chaudry@imp.uni-erlangen.de.ORCID http://orcid.org/0000-0002-2179-3770
Andreas FriedbergerInstitute of Medical Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Henkestrasse 91, 91052, Erlangen, Germany.
Alexandra GrimmInstitute of Medical Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Henkestrasse 91, 91052, Erlangen, Germany.
Michael UderInstitute of Radiology, Friedrich-Alexander-Universität Erlangen-Nürnberg and University Hospital Erlangen, Maximiliansplatz 3, 91054, Erlangen, Germany.
Armin Michael NagelInstitute of Medical Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Henkestrasse 91, 91052, Erlangen, Germany.
Wolfgang KemmlerInstitute of Medical Physics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Henkestrasse 91, 91052, Erlangen, Germany.
Klaus EngelkeDepartment of Medicine 3, Friedrich-Alexander-Universität Erlangen-Nürnberg and University Hospital Erlangen, Ulmenweg 18, 91054, Erlangen, Germany.
Friedrich-Alexander-Universität Erlangen-Nürnberg · DE

Funding

Bayerische Forschungsstiftung 1044-12
6 · The paper itself

Abstract

objectiveTo develop a precise semi-automated segmentation of the fascia lata (FL) of the thigh to quantify IMAT volume in T MATERIALS AND

methodsA multi-step segmentation approach was developed to identify fibrous structures of the FL and combining them into a closed 3D surface. 23 healthy young men with low and 50 elderly sarcopenic men with moderate levels of IMAT were measured by T

resultsThe segmentation was successfully applied to all 73 datasets and took about 7 min per 28 slices. In particular, in elderly subjects, it includes a large amount of adipose tissue below the FL typically not accounted for in other segmentation approaches. Inter- and intra-operator RMS-CVs were 0.33% and 0.14%, respectively, for IMAT volume and 0.04% and 0.02%, respectively, for FF DISCUSSION: The FL segmentation is an important step to quantify IMAT with high precision and may be useful to investigate effects of aging and treatment on changes of IMAT and FF. ClinicalTrials.gov identifier NCT2857660, August 5, 2016.

trial registrationClinicalTrials.gov identifier NCT2857660, August 5, 2016.

Indexed as

Adipose TissueFascia LataThighHumansMagnetic Resonance ImagingMaleMuscle, SkeletalAdipose tissueFascia lataMRI

Identifiers

PMID32761398
PMCPMC8154773
OpenAlexW3046968662

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.