%0 Journal Article
%A Haueise, Tobias
%A Schick, Fritz
%A Stefan, Norbert
%A Grune, Elena
%A von Itter, Marc-Nicolas
%A Kauczor, Hans-Ulrich
%A Nattenmüller, Johanna
%A Norajitra, Tobias
%A Nonnenmacher, Tobias
%A Rospleszcz, Susanne
%A Maier-Hein, Klaus H
%A Schlett, Christopher L
%A Weiss, Jakob B
%A Fischer, Beate
%A Jöckel, Karl-Heinz
%A Krist, Lilian
%A Niendorf, Thoralf
%A Peters, Annette
%A Sedlmeier, Anja M
%A Willich, Stefan N
%A Bamberg, Fabian
%A Machann, Jürgen
%T Refining visceral adipose tissue quantification: Influence of sex, age, and BMI on single slice estimation in 3D MRI of the German National Cohort.
%J Zeitschrift für medizinische Physik
%V 36
%N 1
%@ 0939-3889
%C Amsterdam [u.a.]
%I Elsevier
%M DKFZ-2025-00611
%P 114-124
%D 2026
%Z 2026 Feb;36(1):114-124
%X 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.
%K Deep learning (Other)
%K Magnetic resonance imaging (Other)
%K Obesity (Other)
%K Single slice quantification (Other)
%K Visceral adipose tissue (Other)
%F PUB:(DE-HGF)16
%9 Journal Article
%$ pmid:40122750
%R 10.1016/j.zemedi.2025.02.005
%U https://inrepo02.dkfz.de/record/300113