Evidence map›Paper›PMID 31956536›Full record

ArticleQuantitative imaging in medicine and surgery2020

Association of thigh and paraspinal muscle composition in young adults using chemical shift encoding-based water-fat MRI.

Egon Burian, Stephanie Inhuber, Sarah Schlaeger, Michael Dieckmeyer, Elisabeth Klupp, Daniela Franz, Dominik Weidlich, Nico Sollmann, Maximilian Löffler, Ansgar Schwirtz and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed, 8 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

15 authors at 2 institutions in 1 country.

Egon BurianDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Stephanie InhuberDepartment of Sport and Health Sciences, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Sarah SchlaegerDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Michael DieckmeyerDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Elisabeth KluppDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Daniela FranzDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Dominik WeidlichDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Nico SollmannDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Maximilian LöfflerDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Ansgar SchwirtzDepartment of Sport and Health Sciences, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Ernst J RummenyDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Claus ZimmerDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Jan S KirschkeDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Dimitrios C KarampinosDepartment of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Thomas BaumDepartment of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Klinikum rechts der Isar · DETechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundParaspinal and thigh muscles comprise the major muscle groups of the body. We investigated the composition of the psoas, erector spinae, quadriceps femoris and hamstring muscle groups and their association to each other using chemical shift encoding-based water-fat magnetic resonance imaging (MRI) in adult volunteers. Our aim was to elucidate fat distribution patterns within these muscle groups.

methodsThirty volunteers [15 males, age: 30.5±4.9 years, body mass index (BMI): 27.6±2.8 kg/m

resultsCSA and CMI values calculated for the erector spinae, psoas, quadriceps and hamstring muscle groups showed significant differences between men and women (P<0.05). With regard to PDFF measurement only the erector spinae showed significant differences between men and women (9.5%±2.4%

conclusionsCMI values of the erector spinae and psoas muscles were associated with those of the quadriceps femoris and hamstring musculature. These findings suggest a concordant spatial fat accumulation within the analyzed muscles in young adults and warrants further investigations in ageing and diseased muscle.

Indexed as

Magnetic resonance imaging (MRI)muscle compositionparaspinal muscleproton density fat fraction (PDFF)quantitative imagingthigh muscle

Identifiers

PMID31956536
PMCPMC6960431
OpenAlexW2994007917

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.