PuSH - Publication Server of Helmholtz Zentrum München: Analysis of volume and topography of adipose tissue in the trunk: Results of MRI of 11,141 participants in the German National Cohort.

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Haueise, T. ; Schick, F. ; Stefan, N. ; Schlett, C.L.* ; Weiss, J.B.* ; Nattenmüller, J.* ; Göbel-Guéniot, K.* ; Norajitra, T.* ; Nonnenmacher, T.* ; Kauczor, H.U.* ; Maier-Hein, K.H.* ; Niendorf, T.* ; Pischon, T.* ; Jöckel, K.H.* ; Umutlu, L.* ; Peters, A. ; Rospleszcz, S. ; Kröncke, T.* ; Hosten, N.* ; Völzke, H.* ; Krist, L.* ; Willich, S.N.* ; Bamberg, F.* ; Machann, J.

Analysis of volume and topography of adipose tissue in the trunk: Results of MRI of 11,141 participants in the German National Cohort.

Sci. Adv. 9:eadd0433 (2023)

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This research addresses the assessment of adipose tissue (AT) and spatial distribution of visceral (VAT) and subcutaneous fat (SAT) in the trunk from standardized magnetic resonance imaging at 3 T, thereby demonstrating the feasibility of deep learning (DL)-based image segmentation in a large population-based cohort in Germany (five sites). Volume and distribution of AT play an essential role in the pathogenesis of insulin resistance, a risk factor of developing metabolic/cardiovascular diseases. Cross-validated training of the DL-segmentation model led to a mean Dice similarity coefficient of >0.94, corresponding to a mean absolute volume deviation of about 22 ml. SAT is significantly increased in women compared to men, whereas VAT is increased in males. Spatial distribution shows age- and body mass index-related displacements. DL-based image segmentation provides robust and fast quantification of AT (≈15 s per dataset versus 3 to 4 hours for manual processing) and assessment of its spatial distribution from magnetic resonance images in large cohort studies.

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Publication type Article: Journal article

Document type Scientific Article

Corresponding Author

Keywords Multi-atlas Segmentation; Body-fat Distribution; Obesity; Population; Design; Burden; Images; Risk; Men

ISSN (print) / ISBN 2375-2548

e-ISSN 2375-2548

Journal Science Advances

Quellenangaben Volume: 9, Issue: 19, Article Number: eadd0433

Publisher American Association for the Advancement of Science (AAAS)

Publishing Place Washington, DC [u.a.]

Non-patent literature Publications

Reviewing status Peer reviewed

Institute(s) Institute of Diabetes Research and Metabolic Diseases (IDM)
Institute of Epidemiology II (EPI2)

Grants Leibniz Association
Helmholtz Association
federal states
Federal Ministry of Education and Research (BMBF)
German Federal Ministry of Education and Research (BMBF)
German Research Foundation