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Haueise, T. ; Schick, F. ; Stefan, N. ; Grune, E.* ; von Itter, M.N.* ; Kauczor, H.U.* ; Nattenmüller, J.* ; Norajitra, T.* ; Nonnenmacher, T.* ; Rospleszcz, S. ; Maier-Hein, K.H.* ; Schlett, C.L.* ; Weiss, J.B.* ; Fischer, B.* ; Jöckel, K.H.* ; Krist, L.* ; Niendorf, T.* ; Peters, A. ; Sedlmeier, A.M.* ; Willich, S.N.* ; Bamberg, F.* ; Machann, J.

Refining visceral adipose tissue quantification: Influence of sex, age, and BMI on single slice estimation in 3D MRI of the German National Cohort.

Z. Med. Phys. 36, 114-124 (2025)
Postprint DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
OBJECTIVES: 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. MATERIALS AND METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Deep Learning ; Magnetic Resonance Imaging ; Obesity ; Single Slice Quantification ; Visceral Adipose Tissue; Body-mass; Risk; Fat; Volumes
ISSN (print) / ISBN 0939-3889
e-ISSN 1876-4436
Zeitschrift Zeitschrift für Medizinische Physik
Quellenangaben Band: 36, Heft: 1, Seiten: 114-124 Artikelnummer: , Supplement: ,
Verlag Elsevier
Verlagsort Radarweg 29, 1043 Nx Amsterdam, Netherlands
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Diabetes Research and Metabolic Diseases (IDM)
Institute of Epidemiology (EPI)
Förderungen Institutes of the Leibniz Association
Federal Ministry of Education and Research (BMBF)
German National Cohort (NAKO)
Federal states of Germany
Helmholtz Association
Deutsche Forschungsgemeinschaft (DFG, German Research foundation)