| 彭姊鑫,孙鹤,孙念念.影像学精准评估不同肥胖代谢表型身体成分特征进展[J].中国介入影像与治疗学,2025,22(3):216-219 |
| 影像学精准评估不同肥胖代谢表型身体成分特征进展 |
| Progresses in imaging accurate evaluation on body composition characteristics for different obesity metabolic phenotype |
| 投稿时间：2024-12-15 修订日期：2025-01-14 |
| DOI：10.13929/j.issn.1672-8475.2025.03.014 |
| 中文关键词: 肥胖症 脂肪组织 诊断显像 人工智能 |
| 英文关键词:obesity adipose tissue diagnostic imaging artificial intelligence |
| 基金项目: |
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| 摘要点击次数: 185 |
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| 中文摘要: |
| 肥胖与多种慢性疾病风险增加有关，区分代谢健康型肥胖与代谢异常型肥胖对于理解肥胖复杂性至关重要。应用多种影像学技术及人工智能（AI）可更为精确地定量分析身体成分。本文就影像学精准评估不同肥胖代谢表型身体成分特征进展进行综述。 |
| 英文摘要: |
| Obesity increases the risk of numerous chronic diseases， and differentiating metabolically healthy or unhealthy obesity is crucial for understanding the complexity of obesity. With the application of various imaging techniques and artificial intelligence （AI）， analysis of body composition became more precise. The progresses in imaging accurate evaluation on body composition characteristics for different obesity metabolic phenotype were reviewed in this article. |
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