{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["9(19)"],"submitter":["Haueise T"],"pubmed_abstract":["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- an"],"journal":["Science advances"],"pagination":["eadd0433"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10181183"],"repository":["biostudies-literature"],"pubmed_title":["Analysis of volume and topography of adipose tissue in the trunk: Results of MRI of 11,141 participants in the German National Cohort."],"pmcid":["PMC10181183"],"pubmed_authors":["Machann J","Peters A","Norajitra T","Jockel KH","Gobel-Gueniot K","Volzke H","Stefan N","Haueise T","Schick F","Hosten N","Willich SN","Schlett CL","Umutlu L","Kroncke T","Weiss JB","Kauczor HU","Bamberg F","Maier-Hein KH","Rospleszcz S","Krist L","Nonnenmacher T","Pischon T","Nattenmuller J","Niendorf T"],"additional_accession":[]},"is_claimable":false,"name":"Analysis of volume and topography of adipose tissue in the trunk: Results of MRI of 11,141 participants in the German National Cohort.","description":"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- an","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 May","modification":"2025-04-21T22:44:14.392Z","creation":"2025-04-05T18:50:46.051Z"},"accession":"S-EPMC10181183","cross_references":{"pubmed":["37172093"],"doi":["10.1126/sciadv.add0433"]}}