Analysis of volume and topography of adipose tissue in the trunk: Results of MRI of 11,141 participants in the German National Cohort-Reference-Cited by-同舟云学术

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

Published:2023-05-12 Issue:19 Volume:9 Page:
ISSN:2375-2548
Container-title:Science Advances
language:en
Short-container-title:Sci. Adv.

Author:

Haueise Tobias¹²³^ORCID,Schick Fritz¹²³^ORCID,Stefan Norbert¹²⁴^ORCID,Schlett Christopher L.⁵^ORCID,Weiss Jakob B.⁵,Nattenmüller Johanna⁵⁶^ORCID,Göbel-Guéniot Katharina⁵,Norajitra Tobias⁷,Nonnenmacher Tobias⁶,Kauczor Hans-Ulrich⁶,Maier-Hein Klaus H.⁸⁹^ORCID,Niendorf Thoralf¹⁰¹¹^ORCID,Pischon Tobias¹²¹³¹⁴¹⁵^ORCID,Jöckel Karl-Heinz¹⁶^ORCID,Umutlu Lale¹⁷^ORCID,Peters Annette¹⁸¹⁹²⁰²¹^ORCID,Rospleszcz Susanne¹⁸¹⁹²⁰^ORCID,Kröncke Thomas²²²³^ORCID,Hosten Norbert²⁴^ORCID,Völzke Henry²⁵²⁶,Krist Lilian²⁷^ORCID,Willich Stefan N.²⁷,Bamberg Fabian⁵,Machann Juergen¹²³^ORCID

Affiliation:

1. Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich at the University of Tuebingen, Tuebingen, Germany.

2. German Center for Diabetes Research (DZD), Tuebingen, Germany.

3. Section on Experimental Radiology, Department of Diagnostic and Interventional Radiology, University Hospital Tuebingen, Tuebingen, Germany.

4. Department of Internal Medicine, Division of Diabetology, Endocrinology and Nephrology, Eberhard-Karls University Tuebingen, Tuebingen, Germany.

5. Department of Diagnostic and Interventional Radiology, Medical Center–University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.

6. Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany.

7. Division of Medical and Biological Informatics, German Cancer Research Center, Heidelberg, Germany.

8. Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany.

9. Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.

10. Berlin Ultrahigh Field Facility (B.U.F.F.), Max-Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.

11. Experimental and Clinical Research Center, A Joint Cooperation Between the Charité Medical Faculty and the Max-Delbrueck Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.

12. Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Molecular Epidemiology Research Group, Berlin, Germany.

13. Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Biobank Technology Platform, Berlin, Germany.

14. Berlin Institute of Health at Charité–Universitätsmedizin Berlin, Core Facility Biobank, Berlin, Germany.

15. Charité–Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.

16. Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), University Hospital Essen, Essen, Germany.

17. Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.

18. Department of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-Universität München, Munich, Germany.

19. Institute of Epidemiology, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany.

20. German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany.

21. German Center for Diabetes Research (DZD), Partner Site Neuherberg, Neuherberg, Germany.

22. Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Faculty of Medicine, University of Augsburg, Augsburg, Germany.

23. Centre for Advanced Analytics and Predictive Sciences (CAAPS), University Augsburg, Augsburg, Germany.

24. Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany.

25. Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.

26. German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany.

27. Institute of Social Medicine, Epidemiology and Health Economics, Charité–Universitätsmedizin Berlin, Berlin, Germany.

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- 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.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Link

https://www.science.org/doi/pdf/10.1126/sciadv.add0433

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