摘要
随着全球肥胖率的上升,肥胖及其相关并发症,如2型糖尿病、心血管疾病和代谢综合征,已成为严重威胁公共健康的主要问题。肥胖的根源在于能量摄入与消耗之间的长期失衡,而脂肪组织,尤其是棕色脂肪(brown adipose tissue,BAT),在能量代谢中扮演了重要角色。与白色脂肪主要负责储存能量不同,BAT通过产热消耗能量,被视为预防和治疗肥胖的潜在靶点。本文详细介绍了当前用于定量分析BAT的磁共振成像方法,包括了水脂分离成像、化学交换饱和转移、磁共振波谱等,探讨了它们在定量BAT体积、脂肪成分及代谢活性中的应用现状。本综述旨在通过梳理和分析当前研究成果,深入分析各技术的潜力和局限性,并明确未来研究方向,推动BAT相关磁共振成像技术在肥胖和代谢疾病诊断与治疗中的应用,助力该领域标准化和临床转化的实现。
The global increase in obesity and its associated complications,such as type 2 diabetes,cardiovascular diseases,and metabolic syndrome,has become a major public health concern.The fundamental cause of obesity is a prolonged imbalance between energy intake and expenditure,with adipose tissue,particularly brown adipose tissue(BAT),playing a key role in energy metabolism.Unlike white adipose tissue,which primarily stores energy,BAT dissipates energy through thermogenesis,making it a potential target for obesity prevention and treatment.This review provides an overview of current magnetic resonance imaging(MRI)techniques for the quantitative assessment of BAT,including water-fat separation imaging,chemical exchange saturation transfer(CEST),and magnetic resonance spectroscopy(MRS).The applications and limitations of these techniques in quantifying BAT volume,lipid content,and metabolic activity are discussed.This review aims to analyze and evaluate current research findings,assess the potential and limitations of various techniques,identify future research directions,and promote the application of BAT-related magnetic resonance imaging technologies in the diagnosis and treatment of obesity and metabolic diseases,ultimately contributing to the standardization and clinical translation in this field.
作者
刘思恒
张莹
阿布都外力·艾沙
吕衍春
LIU Siheng;ZHANG Ying;AISHA Abuduwaili;LÜYanchun(Department of Imaging,Sun Yat-sen University Cancer Center,Guangzhou 510060,China)
出处
《磁共振成像》
CAS
CSCD
北大核心
2024年第12期228-234,共7页
Chinese Journal of Magnetic Resonance Imaging
关键词
棕色脂肪
磁共振成像
化学交换饱和转移成像
水脂分离成像
brown adipose tissue
magnetic resonance imaging
chemical exchange saturation transfer imaging
water-fat separation imaging