Analysis of volume and topography of adipose tissue in the trunk: Results of MRI of 11,141 participants in the German National Cohort
Science Advances(2023)
摘要
This research addresses the assessment of adipose tissue (AT) and spatial distribution of visceral (VAT) and sub-cutaneous 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 (approximate to 15 s per dataset versus 3 to 4 hours for manual processing) and assess-ment of its spatial distribution from magnetic resonance images in large cohort studies.
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关键词
adipose tissue,mri,german national cohort,topography
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