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

作　　者：彭姊鑫 孙鹤[1] 孙念念 PENG Zixin;SUN He;SUN Niannian(Department of Radiology,the Fourth Affiliated Hospital of China Medical University,Shenyang 110032,China;Department of Medical Imaging,Liaoning Electric Power Center Hospital,Shenyang 110006,China)

机构地区：[1]中国医科大学附属第四医院放射科,辽宁沈阳110032 [2]辽宁电力中心医院医学影像科,辽宁沈阳110006

出　　处：《中国介入影像与治疗学》2025年第3期216-219,共4页Chinese Journal of Interventional Imaging and Therapy

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。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.

关 键 词：肥胖症 脂肪组织 诊断显像 人工智能 

分 类 号：R723.14[医药卫生—儿科] R445[医药卫生—临床医学]