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

IF 40 1区医学 Q1 ENDOCRINOLOGY & METABOLISM

Nature Reviews Endocrinology Pub Date : 2025-08-08 DOI:10.1038/s41574-025-01166-0

Mickael Tordjman, Zahi A. Fayad, Tammie L. S. Benzinger, Maria G. Trivieri, Meena Bansal, Reshmi Srinath, Bachir Taouli

引用次数: 0

Abstract

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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肥胖症患者的影像学：挑战、应用和未来方向

影像学在评估肥胖相关疾病和减肥效果方面的作用越来越大，特别是考虑到胰高血糖素样肽受体激动剂的使用越来越多。新的成像生物标志物正在出现。人工智能应用于身体成分的自动量化，强调了全身MRI全面评估肥胖患者的未来能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nature Reviews Endocrinology 医学-内分泌学与代谢

CiteScore

42.00

自引率

0.70%

发文量

158

审稿时长

6-12 weeks

期刊介绍： Nature Reviews Endocrinology aspires to be the foremost platform for reviews and commentaries catering to the scientific communities it serves. The journal aims to publish articles characterized by authority, accessibility, and clarity, enhanced with easily understandable figures, tables, and other visual aids. The goal is to offer an unparalleled service to authors, referees, and readers, striving to maximize the usefulness and impact of each article. Nature Reviews Endocrinology publishes Research Highlights, Comments, News & Views, Reviews, Consensus Statements, and Perspectives relevant to researchers and clinicians in the fields of endocrinology and metabolism. Its broad scope ensures that the work it publishes reaches the widest possible audience.