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

Magnetic resonance imaging (MRI) muscle composition paraspinal muscle proton density fat fraction (PDFF) quantitative imaging thigh muscle

Journal

Quantitative imaging in medicine and surgery
ISSN: 2223-4292
Titre abrégé: Quant Imaging Med Surg
Pays: China
ID NLM: 101577942

Informations de publication

Date de publication:
Jan 2020
Historique:
entrez: 21 1 2020
pubmed: 21 1 2020
medline: 21 1 2020
Statut: ppublish

Résumé

Paraspinal 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. Thirty volunteers [15 males, age: 30.5±4.9 years, body mass index (BMI): 27.6±2.8 kg/m CSA 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% CMI 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.

Sections du résumé

BACKGROUND BACKGROUND
Paraspinal 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.
METHODS METHODS
Thirty volunteers [15 males, age: 30.5±4.9 years, body mass index (BMI): 27.6±2.8 kg/m
RESULTS RESULTS
CSA 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%
CONCLUSIONS CONCLUSIONS
CMI 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.

Identifiants

pubmed: 31956536
doi: 10.21037/qims.2019.11.08
pii: qims-10-01-128
pmc: PMC6960431
doi:

Types de publication

Journal Article

Langues

eng

Pagination

128-136

Informations de copyright

2020 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest: The authors have no conflicts of interest to declare.

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Auteurs

Egon Burian (E)

Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Stephanie Inhuber (S)

Department of Sport and Health Sciences, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Sarah Schlaeger (S)

Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.
Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Michael Dieckmeyer (M)

Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Elisabeth Klupp (E)

Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Daniela Franz (D)

Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Dominik Weidlich (D)

Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Nico Sollmann (N)

Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Maximilian Löffler (M)

Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Ansgar Schwirtz (A)

Department of Sport and Health Sciences, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Ernst J Rummeny (EJ)

Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Claus Zimmer (C)

Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Jan S Kirschke (JS)

Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Dimitrios C Karampinos (DC)

Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Thomas Baum (T)

Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.

Classifications MeSH