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

David Zopfs*, Daniel Pinto dos Santos, Jonathan Kottlors, Robert P. Reimer, Simon Lennartz, Roman Kloeckner, Max Schlaak, Sebastian Theurich, Christoph Kabbasch, Marc Schlamann, Nils Große Hokamp

*Korrespondierende/r Autor/-in für diese Arbeit

Abstract

Objectives: 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. Methods: 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. Results: 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. Conclusions: Body composition information can be obtained with comparable reliability from head and neck CT using simple biplanar measurements as from abdominal CT. Key Points: • 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.

OriginalspracheEnglisch
ZeitschriftEuropean Radiology
Jahrgang32
Ausgabenummer9
Seiten (von - bis)6427-6434
Seitenumfang8
ISSN0938-7994
DOIs
PublikationsstatusVeröffentlicht - 09.2022

Fördermittel

Open Access funding enabled and organized by Projekt DEAL. Supported by the Cologne Clinician Scientist Program (CCSP) / Faculty of Medicine / University of Cologne. Funded by the German Research Foundation (DFG, FI 773/15-1). Supported by the Koeln Fortune Program / Faculty of Medicine, University of Cologne (330/2020).

TrägerTrägernummer
Deutsche ForschungsgemeinschaftFI 773/15-1, 330/2020
Universität zu Köln

    UN SDGs

    Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

    1. SDG 3 – Gesundheit und Wohlergehen
      SDG 3 – Gesundheit und Wohlergehen
    2. SDG 9 – Industrie, Innovation und Infrastruktur
      SDG 9 – Industrie, Innovation und Infrastruktur

    Strategische Forschungsbereiche und Zentren

    • Forschungsschwerpunkt: Biomedizintechnik

    DFG-Fachsystematik

    • 2.22-30 Radiologie

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