Universität zu Köln

Zopfs, David, dos Santos, Daniel Pinto, Kottlors, Jonathan, Reimer, Robert P., Lennartz, Simon, Kloeckner, Roman, Schlaak, Max, Theurich, Sebastian, Kabbasch, Christoph, Schlamann, Marc and Hokamp, Nils Grosse (2022). Two-dimensional CT measurements enable assessment of body composition on head and neck CT. Eur. Radiol., 32 (9). S. 6427 - 6435. NEW YORK: SPRINGER. ISSN 1432-1084

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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.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Zopfs, David UNSPECIFIED UNSPECIFIED UNSPECIFIED dos Santos, Daniel Pinto UNSPECIFIED UNSPECIFIED UNSPECIFIED Kottlors, Jonathan UNSPECIFIED UNSPECIFIED UNSPECIFIED Reimer, Robert P. UNSPECIFIED UNSPECIFIED UNSPECIFIED Lennartz, Simon UNSPECIFIED UNSPECIFIED UNSPECIFIED Kloeckner, Roman UNSPECIFIED UNSPECIFIED UNSPECIFIED Schlaak, Max UNSPECIFIED UNSPECIFIED UNSPECIFIED Theurich, Sebastian UNSPECIFIED UNSPECIFIED UNSPECIFIED Kabbasch, Christoph UNSPECIFIED UNSPECIFIED UNSPECIFIED Schlamann, Marc UNSPECIFIED UNSPECIFIED UNSPECIFIED Hokamp, Nils Grosse UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-688518
DOI:	10.1007/s00330-022-08773-9
Journal or Publication Title:	Eur. Radiol.
Volume:	32
Number:	9
Page Range:	S. 6427 - 6435
Date:	2022
Publisher:	SPRINGER
Place of Publication:	NEW YORK
ISSN:	1432-1084
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language SKELETAL-MUSCLE MASS; COMPUTED-TOMOGRAPHY; SLICE THICKNESS; SARCOPENIA; CONTRAST Multiple languages Radiology, Nuclear Medicine & Medical Imaging Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/68851