曹开明,郝楠馨,王葳,常时新,王轶彬,宗根林.肾脏3.0T单体素1H-MRS定量观察[J].中国医学影像技术,2009,25(7):1248~1250
肾脏3.0T单体素1H-MRS定量观察
Quantitative analysis of kidney on 3.0T 1H-MRS
投稿时间:2008-12-05  修订日期:2009-03-13
DOI:
中文关键词:  磁共振波谱  癌,肾细胞  定量分析
英文关键词:Magnetic resonance spectroscopy  Carcinoma, renal cell  Quantitative analysis
基金项目:
作者单位E-mail
曹开明 Department of Radiology, Shanghai East Hospital Affiliated to Tongji University, Shanghai 200120, China caokaiming100@sina.com 
郝楠馨   
王葳 Department of Radiology, Shanghai East Hospital Affiliated to Tongji University, Shanghai 200120, China  
常时新 Department of Radiology, Shanghai East Hospital Affiliated to Tongji University, Shanghai 200120, China  
王轶彬 Department of Radiology, Shanghai East Hospital Affiliated to Tongji University, Shanghai 200120, China  
宗根林 Department of Radiology, Shanghai East Hospital Affiliated to Tongji University, Shanghai 200120, China  
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中文摘要:
       目的 分析肾脏3.0T 1H-MRS特点,探讨肾脏1H-MRS代谢物峰值的变化及其应用。方法 利用3.0T磁共振仪对50名正常志愿者及15例肾癌患者进行单体素1H-MRS成像,所用技术为定点分辨选择波谱技术。结果 15例肾癌患者共13例获得满意谱线,50名正常志愿者共48名获得满意MRS谱线。1H-MRS能够检测出肾脏中四组主要共振峰:胆固醇和不饱和脂肪酸的混合峰(Chol+Unsat)、水峰(Water)、胆碱峰(Cho)以及脂质峰(Lip)等。肾癌组Chol+Unsat/Lip峰高比约为正常组的1/5,两者之间差异有统计学意义(F=4.764,P=0.04)。结论 1H-MRS能够检测出肾脏中多种代谢物,并可以定量测量、研究其谱峰变化,对肾癌的诊断可提供一定的参考价值。
英文摘要:
      Objective To analyze proton MR spectroscopy (1H-MRS) characteristics of kidney in vivo, and to investigate the changes and applications of metabolites of kidney on 3.0T MR. Methods Fifteen patients with renal cell carcinoma and 50 healthy volunteers underwent single-voxel PRESS sequence MR scan on 3.0T scanner. Results Satisfied spectra of 13 patients and 48 volunteers were obtained. There were four main groups resonance peak: cholesterol and the unsaturated parts of the olefinic region of fatty acids (Chol+Unsat), water, choline metabolites (Cho) and lipids (Lip). The ratio of the Chol+Unsat to Lip was 5-fold lower in renal cell carcinomas group than that in contrast group (F=4.764, P=0.04). Conclusion A number of chemical compounds pertaining to metabolism in kidney can be quantitative analyzed, which may offer assistance for diagnosis of renal cell carcinoma.
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