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Imaging in patients with obesity: challenges, applications and future directions

Nature Reviews Endocrinology volume 21, pages 588–590 (2025)Cite this article

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Imaging has a growing role in the evaluation of obesity-related disorders and the effects of weight loss, especially given the increasing use of glucagon-like peptide 1 agonists. New imaging biomarkers are emerging. Artificial intelligence applications for automated quantification of body composition underline future capabilities of whole-body MRI to comprehensively assess patients with obesity.

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Fig. 1: Imaging biomarkers for organ-specific obesity-related conditions.

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Authors and Affiliations

  1. BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA

    Mickael Tordjman, Zahi A. Fayad, Maria G. Trivieri & Bachir Taouli

  2. Mallinckrodt Institute of Radiology, Washington University, Saint Louis, MO, USA

    Tammie L. S. Benzinger

  3. The Lauder Family Cardiovascular Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA

    Maria G. Trivieri

  4. Department of Medicine, Division of Liver Disease, Icahn School of Medicine at Mount Sinai Hospital, New York, NY, USA

    Meena Bansal

  5. Department of Medicine, Division of Endocrinology, Diabetes and Bone Disease, Icahn School of Medicine at Mount Sinai, New York, NY, USA

    Reshmi Srinath

  6. Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA

    Bachir Taouli

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  1. Mickael Tordjman
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  2. Zahi A. Fayad
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Correspondence to Mickael Tordjman.

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The authors declare no competing interests.

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Tordjman, M., Fayad, Z.A., Benzinger, T.L.S. et al. Imaging in patients with obesity: challenges, applications and future directions. Nat Rev Endocrinol 21, 588–590 (2025). https://doi.org/10.1038/s41574-025-01166-0

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