王玉丽,胡莹莹,王晔,陈佳良,谢晟.MR定量分析非酒精性脂肪性肝病患者肝脂肪含量与代谢综合征的相关性[J].中国医学影像技术,2020,36(12):1853~1857
MR定量分析非酒精性脂肪性肝病患者肝脂肪含量与代谢综合征的相关性
MR quantitative analysis of relationship of liver fat content and metabolic syndrome in patients with non-alcoholic fatty liver disease
投稿时间:2019-12-25  修订日期:2020-07-19
DOI:10.13929/j.issn.1003-3289.2020.12.020
中文关键词:  非酒精性脂肪肝  脂肪组织  代谢综合征  磁共振成像
英文关键词:non-alcoholic fatty liver disease  adipose tissue  metabolic syndrome  magnetic resonance imaging
基金项目:
作者单位E-mail
王玉丽 中日友好医院放射诊断科, 北京 100029  
胡莹莹 中日友好医院放射诊断科, 北京 100029  
王晔 中日友好医院放射诊断科, 北京 100029  
陈佳良 中日友好医院消化内科, 北京 100029  
谢晟 中日友好医院放射诊断科, 北京 100029 xs_mri@126.com 
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中文摘要:
      目的 分析mDIXON-Quant测量非酒精性脂肪性肝病(NAFLD)患者肝脂肪含量与肝功能及脂质代谢指标间的关系。方法 对135名体检者行mDixon-Quant序列全肝脏扫描,经后处理测量肝脂肪分数图(FF);记录受检者身高、体质量、血压及肝功能、血脂、空腹血糖(FBG)等实验室指标。根据肝脏FF将受检者分为NAFLD组(96例)和对照组(39名),NAFLD组分为轻度(62例)、中度(25例)和重度(9例)亚组,比较各亚组间指标差异,并对肝脏FF与其他指标进行相关性分析,比较不同程度NAFLD亚组间代谢综合征的分布差异,分析代谢综合征的危险因素。结果 NAFLD组与对照组体质量指数(BMI)、收缩压(SBP)、舒张压(DBP)、总胆固醇(TC)、甘油三酯(TG)、丙氨酸转氨酶(ALT)及天冬氨酸转氨酶(AST)差异均有统计学意义(P均<0.05)。肝脏FF与BMI、FBG、SBP、DBP、TC、TG、ALT、AST及高密度脂蛋白(HDL)均存在相关性(P均<0.05)。NAFLD组53例(53/96,55.21%)合并代谢综合征,不同程度NAFLD亚组间代谢综合征分布差异有统计学意义(χ2=9.32,P<0.05)。肝脏FF、BMI、DBP、FBG、TC及TG均为代谢综合征的危险因素(P均<0.05),HDL则为其保护因素(P=0.006)。结论 NAFLD患者肝脏FF与代谢综合征密切相关。mDIXON-Quant可用于实时评估NAFLD患者肝脂肪含量,对临床治疗及监测病变具有重要指导意义。
英文摘要:
      Objective To analyze the relationship of liver fat content and liver function parameters and lipid metabolism in non-alcoholic fatty liver disease (NAFLD) patients with mDIXON-Quant. Methods A total of 135 physical examinees who underwent liver MR scanning were collected. The whole liver was scanned using mDIXON-Quant sequence, and liver fat fraction (FF) was measured after post-processing. The height, weight, blood pressure, liver function, blood lipids, fasting blood glucose (FBG) of all subjects were measured. According to liver FF, the subjects were divided into NAFLD group (n=96) and control group (n=39), and then patients in NAFLD group was further divided into mild subgroup (n=62), moderate subgroup (n=25) and severe subgroup (n=9). The above indexes were compared between groups and among subgroups, and the correlations of liver FF and other indexes were analyzed. The distributions of metabolic syndrome in different NAFLD subgroups were compared, and the risk factors of metabolic syndrome were explored. Results Significant differences of body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), total cholesterol (TC), triglyceride (TG), alanine aminotransferase (ALT) and aspartate aminotransferase (AST) were found between NAFLD group and control group (all P<0.05). Liver FF was correlated with BMI, FBG, SBP, DBP, TC, TG, ALT, AST and high density lipoprotein (HDL) (all P<0.05) in all subjects. Totally 55.21% (53/96) NAFLD patients had metabolic syndrome, and significant differences of the distribution of metabolic syndrome were detected among subgroups of NAFLD (χ2=9.32, P<0.05). Liver FF, BMI, DBP, FBG, TC and TG were all risk factors of metabolic syndrome (all P<0.05), whereas HDL was the protective factor for metabolic syndrome (P=0.006). Conclusion Liver FF in NAFLD patients closely related to metabolic syndrome. mDIXON-Quant could real-timely evaluate liver fat content of NAFLD patients, having great significance for clinical treatment and monitoring of NAFLD.
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