| 摘要: | 
			 
		     | 目的比较动态对比增强磁共振(DCE-MRI)渗透性参数Ktrans值、ve值及扩散加权成像(DWI)的ADC值对脑胶质瘤分级的诊断价值。方法回顾性分析经病理证实的16例高级别脑胶质瘤(HGG)和12例低级别脑胶质瘤(LGG)患者的磁共振资料,所用序列包括常规平扫、DWI和动态对比增强扫描LAVA序列,分别测量肿瘤感兴趣区域(ROI)DCE-MRI的渗透性参数Ktrans值、ve值和DWI的tADC值、rADC值。t检验比较HGG和LGG两组间参数的统计学差异。采用ROC曲线分析Ktrans值、Ve值、tADC值、rADC值的最佳阈值及其敏感度、特异度和AUC。结果HGGKtrans值、ve值均高于LGG,差异均有统计学意义(均P<0.01);而HGGtADC值、rADC值均明显低于LGG,差异均有统计学意义(均P<0.01)。ve值诊断HGG的AUC最大为0.906,取ve值最佳阈值0.142,对诊断HGG的敏感度和特异度分别为87.5%和91.7%。结论DCE-MRI渗透性参数及DWI的ADC值均有助于高级别和低级别脑胶质瘤的分级诊断,但ve值的价值更高。 | 
			
	         
				| 关键词:  胶质瘤  动态对比增强磁共振  扩散加权成像  表观弥散系数 | 
			 
                | DOI: | 
            
                | 分类号: | 
			 
             
                | 基金项目:湖州市科技局项目 | 
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                | Comparison  of  dynamic  contrast-enhanced  MRI(DCE-MRI)  with  diffusion  weighted  imaging(DWI)    in  diagnosis  and  grading  of  glioma | 
           
			
                | QIAN Haifeng, SUN Shengjie, WU Xiao, LI Fengqi, LI Zhangyu, HU Chunhong | 
           
		   
		   
                | Huzhou Central Hospital | 
		   
             
                | Abstract: | 
			
                | Objective   To compare of dynamic contrast-enhanced MRI(DCE-MRI) with diffusion weighted imaging (DWI) in diagnosis and grading of glioma. Methods MRI examinations were performed in 16 patients with high grade gliomas  (HGG) and 12 patients with low grade gliomas (LGG) confirmed by pathology. The values of volume transfer constant (Ktrans), volume fraction of extravascular extracellular space (ve) of the region of interest (ROI) were calculated on DCE-MRI by pharmacokinetic model, and the tumor apparent diffusion coefficient(tADC) and relative ADC (rADC) values were measured on DWI. The t test was used to calculate the statistical significance of Ktrans value, ve value, tADC value and rADC value between HGG and LGG. The receiver operating characteristic (ROC) curve analysis was also performed for evaluation of the sensitivity, specificity and area under curve(AUC). Results HGG showed higher Ktrans, ve values and lower tADC, rADC values than LGG(all P<0.01). ROC curve analysis showed the AUC of mean ve value was the highest (AUC=0.906), and taking 0.142 as a cut-off value of ve, the sensitivity and specificity to diagnose HGG were 87.5% and 91.7% , respectively. Conclusion Quantitative analysis parameters of DCE-MRI and ADC value on DWI are of value in the diagnosis and grading of glioma. | 
	       
                | Key words:  Glioma    DCE-MRI    DWI    Apparent diffusion coefficient |