Universität zu Köln

Zopfs, David ORCID: 0000-0001-9978-7453, Theurich, Sebastian ORCID: 0000-0001-5706-8258, Grosse Hokamp, Nils, Knuever, Jana, Gerecht, Lukas, Borggrefe, Jan ORCID: 0000-0003-2908-7560, Schlaak, Max and Pinto dos Santos, Daniel ORCID: 0000-0003-4785-6394 (2020). Single-slice CT measurements allow for accurate assessment of sarcopenia and body composition. Eur. Radiol., 30 (3). S. 1701 - 1709. NEW YORK: SPRINGER. ISSN 1432-1084

Full text not available from this repository.

Abstract

Objectives To evaluate the correlation between simple planimetric measurements in axial computed tomography (CT) slices and measurements of patient body composition and anthropometric data performed with bioelectrical impedance analysis (BIA) and metric clinical assessments. Methods In this prospective cross-sectional study, we analyzed data of a cohort of 62 consecutive, untreated adult patients with advanced malignant melanoma who underwent concurrent BIA assessments at their radiologic baseline staging by CT between July 2016 and October 2017. To assess muscle and adipose tissue mass, we analyzed the areas of the paraspinal muscles as well as the cross-sectional total patient area in a single CT slice at the height of the third lumbar vertebra. These measurements were subsequently correlated with anthropometric (body weight) and body composition parameters derived from BIA (muscle mass, fat mass, fat-free mass, and visceral fat mass). Linear regression models were built to allow for estimation of each parameter based on CT measurements. Results Linear regression models allowed for accurate prediction of patient body weight (adjusted R-2 = 0.886), absolute muscle mass (adjusted R-2 = 0.866), fat-free mass (adjusted R-2 = 0.855), and total as well as visceral fat mass (adjusted R-2 = 0.887 and 0.839, respectively). Conclusions Our data suggest that patient body composition can accurately and quantitatively be determined by using simple measurements in a single axial CT slice. This could be useful in various medical and scientific settings, where the knowledge of the patient's anthropometric parameters is not immediately or easily available.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Zopfs, David UNSPECIFIED orcid.org/0000-0001-9978-7453 UNSPECIFIED Theurich, Sebastian UNSPECIFIED orcid.org/0000-0001-5706-8258 UNSPECIFIED Grosse Hokamp, Nils UNSPECIFIED UNSPECIFIED UNSPECIFIED Knuever, Jana UNSPECIFIED UNSPECIFIED UNSPECIFIED Gerecht, Lukas UNSPECIFIED UNSPECIFIED UNSPECIFIED Borggrefe, Jan UNSPECIFIED orcid.org/0000-0003-2908-7560 UNSPECIFIED Schlaak, Max UNSPECIFIED UNSPECIFIED UNSPECIFIED Pinto dos Santos, Daniel UNSPECIFIED orcid.org/0000-0003-4785-6394 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-127019
DOI:	10.1007/s00330-019-06526-9
Journal or Publication Title:	Eur. Radiol.
Volume:	30
Number:	3
Page Range:	S. 1701 - 1709
Date:	2020
Publisher:	SPRINGER
Place of Publication:	NEW YORK
ISSN:	1432-1084
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language BIOELECTRICAL-IMPEDANCE ANALYSIS; SKELETAL-MUSCLE MASS; ADIPOSE-TISSUE; SOLID TUMORS; WEIGHT; ASSOCIATION; PREVALENCE; PRECISION; HEIGHT Multiple languages Radiology, Nuclear Medicine & Medical Imaging Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/12701