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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