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中华肥胖与代谢病电子杂志 ›› 2020, Vol. 06 ›› Issue (01) : 10 -15. doi: 10.3877/cma.j.issn.2095-9605.2020.01.003

所属专题: 文献

论著

IDEAL-IQ序列对不同程度肥胖患者内脏脂肪的定量研究
陈永光1, 黄家喜1, 马孟杰1, 莫旭凯1, 林铭霞1, 梁建业1, 张冬1, 史长征1,()   
  1. 1. 510632 广州,暨南大学附属第一医院医学影像中心
  • 收稿日期:2020-01-16 出版日期:2020-02-28
  • 通信作者: 史长征
  • 基金资助:
    广州市科技计划项目(201905010003)

Quantitative study on visceral fat in patients with different degrees of obesity by IDEAL-IQ sequence

Yongguang Chen1, Jiaxi Huang1, Mengjie Ma1, Xukai Mo1, Mingxia Lin1, Jianye Liang1, Dong Zhang1, Changzheng Shi1,()   

  1. 1. Medical imaging center, the First Affiliated Hospital of Jinan University, GuangZhou 510632, China
  • Received:2020-01-16 Published:2020-02-28
  • Corresponding author: Changzheng Shi
  • About author:
    Correspongding author: Shi Changzheng, Email:
引用本文:

陈永光, 黄家喜, 马孟杰, 莫旭凯, 林铭霞, 梁建业, 张冬, 史长征. IDEAL-IQ序列对不同程度肥胖患者内脏脂肪的定量研究[J]. 中华肥胖与代谢病电子杂志, 2020, 06(01): 10-15.

Yongguang Chen, Jiaxi Huang, Mengjie Ma, Xukai Mo, Mingxia Lin, Jianye Liang, Dong Zhang, Changzheng Shi. Quantitative study on visceral fat in patients with different degrees of obesity by IDEAL-IQ sequence[J]. Chinese Journal of Obesity and Metabolic Diseases(Electronic Edition), 2020, 06(01): 10-15.

目的

探讨磁共振成像(MRI)中的非对称回波的最小二乘估算法迭代水脂分离序列(IDEAL-IQ)成像技术对不同程度肥胖患者内脏脂肪含量的检测价值。

方法

选取130例于2016年1月至2019年6月期间在暨南大学附属第一医院就诊的肥胖患者作为研究对象,根据体质量指数(BMI)分为超重组(24 kg/m2≤BMI<28 kg/m2)和肥胖组(BMI≥28 kg/m2),均进行IDEAL-IQ成像检查获得各脏器脂肪分数,统计学上主要进行两样本t检验和Pearson相关分析。

结果

130例肥胖患者中超重组(A组)44例,肥胖组(B组)86例,A组和B组患者组内比较,肝左叶与肝右叶间的脂肪分数无统计学差异,B组患者肝脏(t=2.93,P=0.04)和胰腺(t=3.01,P=0.03)的脂肪分数明显高于A组患者,有统计学差异;两组患者在脾脏(t=0.53,P=0.60)、网膜(t=0.71,P=0.48)、皮下的脂肪分数(t=0.50,P=0.62)及皮下脂肪层厚度(t=1.53,P=0.13)均无统计学差异。肝脏(r=0.269,P=0.002)及胰腺(r=0.238,P=0.005)的脂肪含量与BMI呈正相关关系。

结论

肥胖程度越高,肝脏、胰腺沉积的脂肪成分越多,IDEA-IQ技术可以有效定量腹部各脏器的脂肪含量,并能鉴别不同程度肥胖患者脏器脂肪含量的差异。

Objective

To evaluate body fat content in patients with different degrees of obese patients using the iterative decomposition of water and fat with echo asymmetry and least squares estimation quantification sequence (IDEAL-IQ).

Methods

One hundred and thirty obese patients were recruited in this study. According to body mass index (BMI), they were divided into overweight group (24 kg/m2≤BMI<28 kg/m2, group A) and obesity group (BMI≥28 kg/m2, group B), and performed with IDEAL-IQ imaging sequence to acquire the fat fraction in each organ. Two-sample t test and Pearson correlation analysis were performed.

Results

Among the 130 patients, 44 were included in group A and 86 in group B. There was no significant difference in the fat content between the left lobe and the right lobe in group A or group B, the fat contents of liver (t=2.93, P=0.04) and pancreas (t=3.01, P=0.03) in group B were significantly higher than that in group A, with statistical difference. There was no significant difference in fat content between the two groups in spleen (t=0.53, P=0.60), omentum (t=0.71, P=0.48), and subcutaneous tissues (t=0.50, P=0.62), as well as the thickness of subcutaneous fat layer (t=1.53, P=0.13). Fat contents of liver (r=0.269, P=0.002) and pancreas (r=0.238, P=0.005) was positively correlated with BMI.

Conclusions

The higher degree of obesity, the more fat components deposited in liver and pancreas. IDEA-IQ technology can effectively measure the fat content in abdominal organs and identify the differences of fat content in patients with different degrees of obesity.

表1 超重组(A组)与肥胖组(B组)一般资料及测量指标比较
图1 腹部IDEAL-IQ图像。1A和1C示肝脏感兴趣区,1B和1D示胰腺感兴趣区。1A、1B为超重组患者,BMI=27.9 kg/m2,脂肪定量:肝左叶10.66%,肝右叶12.88%,胰体5.19%,胰尾5.85%、1C、1D为肥胖组患者,BMI=48.2 kg/m2,脂肪定量:肝左叶29.24%,肝右叶38.91%,胰体11.16%,胰尾8.52%。
表2 两组患者肝左右叶和各胰腺部位脂肪含量比较
表3 两组患者各型脂肪肝所比例
图2 肥胖患者肝脏、胰腺脂肪含量与BMI的分析散点图
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