Two-dimensional CT measurements enable assessment of body composition on head and neck CT.


Journal

European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774

Informations de publication

Date de publication:
Sep 2022
Historique:
received: 17 11 2021
accepted: 26 03 2022
revised: 19 03 2022
pubmed: 8 4 2022
medline: 19 8 2022
entrez: 7 4 2022
Statut: ppublish

Résumé

The aim of this study was to evaluate whether simple 2D measurements in axial slices of head and neck CT examinations correlate with generally established measurements of body composition in abdominal CT at the height of the third lumbar vertebra and thus allow for an estimation of muscle and fat masses. One hundred twenty-two patients who underwent concurrent CT of the head and neck and the abdomen between July 2016 and July 2020 were retrospectively included. For a subset of 30 patients, additional bioelectrical impedance analysis (BIA) was available. Areas of paraspinal muscles at the height of the third (C3) and fifth cervical vertebrae (C5) as well as the total cross-sectional area at the height of C3 and at the submandibular level were correlated with the results of abdominal measurements and BIA. Furthermore, intra- and interreader variabilities of all measurements were assessed. Regarding adipose tissue, good correlations were found between the total cross-sectional area of the patient's body at the submandibular level and at the height of C3 between both abdominal measurements and BIA results (r = 0.8-0.92; all p < 0.001). Regarding muscle, the total paraspinal muscle area at the height of C3 and C5 showed strong correlations with abdominal measurements and moderate to strong correlations with BIA results (r = 0.44-0.80; all p < 0.001), with the muscle area on C5 yielding slightly higher correlations. Body composition information can be obtained with comparable reliability from head and neck CT using simple biplanar measurements as from abdominal CT. • The total paraspinal muscle area at the height of C3 and C5 correlates strongly with abdominal muscle mass. • The total cross-sectional area at the submandibular level and at the height of C3 shows good correlations with abdominal fat mass. • The described measurements facilitate a rapid, opportunistic assessment of relevant body composition parameters.

Identifiants

pubmed: 35389049
doi: 10.1007/s00330-022-08773-9
pii: 10.1007/s00330-022-08773-9
pmc: PMC9381610
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

6427-6434

Subventions

Organisme : Cologne Clinician Scientist Program (CCSP) / Faculty of Medicine / University of Cologne
ID : Funded by the German Research Foundation (DFG, FI 773/15-1).
Organisme : Koeln Fortune Program / Faculty of Medicine, University of Cologne
ID : 330/2020

Informations de copyright

© 2022. The Author(s).

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Auteurs

David Zopfs (D)

Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany. david.zopfs@uk-koeln.de.

Daniel Pinto Dos Santos (D)

Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Institute for Diagnostic and Interventional Radiology, University Hospital Frankfurt, Frankfurt am Main, Germany.

Jonathan Kottlors (J)

Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.

Robert P Reimer (RP)

Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.

Simon Lennartz (S)

Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.

Roman Kloeckner (R)

Department of Diagnostic and Interventional Radiology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.

Max Schlaak (M)

Department of Dermatology, Venerology and Allergology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität, Berlin, Germany.

Sebastian Theurich (S)

Cancer- and Immunometabolism Research Group, Gene Center LMU, Ludwig Maximilian University, Munich, Germany.
Department of Medicine III, University Hospital LMU, Ludwig Maximilian University, Munich, Germany.

Christoph Kabbasch (C)

Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.

Marc Schlamann (M)

Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.

Nils Große Hokamp (N)

Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Kerpener Str. 62, 50937, Cologne, Germany.

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