TY  - JOUR
AU  - Haueise, Tobias
AU  - Schick, Fritz
AU  - Stefan, Norbert
AU  - Grune, Elena
AU  - von Itter, Marc-Nicolas
AU  - Kauczor, Hans-Ulrich
AU  - Nattenmüller, Johanna
AU  - Norajitra, Tobias
AU  - Nonnenmacher, Tobias
AU  - Rospleszcz, Susanne
AU  - Maier-Hein, Klaus H
AU  - Schlett, Christopher L
AU  - Weiss, Jakob B
AU  - Fischer, Beate
AU  - Jöckel, Karl-Heinz
AU  - Krist, Lilian
AU  - Niendorf, Thoralf
AU  - Peters, Annette
AU  - Sedlmeier, Anja M
AU  - Willich, Stefan N
AU  - Bamberg, Fabian
AU  - Machann, Jürgen
TI  - Refining visceral adipose tissue quantification: Influence of sex, age, and BMI on single slice estimation in 3D MRI of the German National Cohort.
JO  - Zeitschrift für medizinische Physik
VL  - 36
IS  - 1
SN  - 0939-3889
CY  - Amsterdam [u.a.]
PB  - Elsevier
M1  - DKFZ-2025-00611
SP  - 114-124
PY  - 2026
N1  - 2026 Feb;36(1):114-124
AB  - High prevalence of visceral obesity and its associated complications underscore the importance of accurately quantifying visceral adipose tissue (VAT) depots. While whole-body MRI offers comprehensive insights into adipose tissue distribution, it is resource-intensive. Alternatively, evaluation of defined single slices provides an efficient approach for estimation of total VAT volume. This study investigates the influence of sex-, age-, and BMI on VAT distribution along the craniocaudal axis and total VAT volume obtained from single slice versus volumetric assessment in 3D MRI and aims to identify age-independent locations for accurate estimation of VAT volume from single slice assessment.This secondary analysis of the prospective population-based German National Cohort (NAKO) included 3D VIBE Dixon MRI from 11,191 participants (screened between May 2014 and December 2016). VAT and spine segmentations were automatically generated using fat-selective images. Standardized craniocaudal VAT profiles were generated. Axial percentage of total VAT was used for identification of reference locations for volume estimation of VAT from a single slice.Data from 11,036 participants (mean age, 52 ± 11 years, 5681 men) were analyzed. Craniocaudal VAT distribution differed qualitatively between men/women and with respect to age/BMI. Age-independent single slice VAT estimates demonstrated strong correlations with reference VAT volumes. Anatomical locations for accurate VAT estimation varied with sex/BMI.The selection of reference locations should be different depending on BMI groups, with a preference for caudal shifts in location with increasing BMI. For women with obesity (BMI >30 kg/m2), the L1 level emerges as the optimal reference location.
KW  - Deep learning (Other)
KW  - Magnetic resonance imaging (Other)
KW  - Obesity (Other)
KW  - Single slice quantification (Other)
KW  - Visceral adipose tissue (Other)
LB  - PUB:(DE-HGF)16
C6  - pmid:40122750
DO  - DOI:10.1016/j.zemedi.2025.02.005
UR  - https://inrepo02.dkfz.de/record/300113
ER  -