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MR灌注参数(Ktrans)和扩散参数(ADC)在不同病理类型乳腺结节灶相关性的初步研究
A preliminary study on the correlation of MR perfusion parameters(ktrans) and diffusion parameters(ADC) in different pathological types of breast nodules
【摘要】 目的评估MR定量灌注参数(Ktrans)和扩散参数(ADC)在不同病理类型乳腺结节灶的相关性。方法对52例乳腺结节灶患者行动态对比增强MR灌注成像和扩散成像(GE SIGNAL 1.5T)检查。对每个病例,在相应的Ktrans和ADC图上选取感兴趣区(ROI)。记录所有ROI的Ktrans和ADC的最大值(max),平均值(mean),最小值(min),并进行Pearson相关性分析。结果 Ktrans(max)与ADC(max)呈负相关,Pearson相关系数,r=-0.483,P<0.001。Ktrans(min)亦与ADC(min)呈负相关,r=-0.550,P<0.001。Ktrans(mean)与ADC(mean)呈负相关,r=-0.527,P<0.001。结论不论乳腺结节灶的病理类型,Ktrans值与ADC值Ktrans值始终呈负相关,这些发现表明微血管渗透性、肿瘤微环境等因素,可能调节和/或影响肿瘤细胞数量、缺血性损伤及复杂的细胞外环境变化。
【Abstract】 Objective To study the relevance of volume transfer constant( Ktrans) values and apparent diffusion coefficient( ADC) values can facilitate deeply understanding the correlation between breast cancer cells and its microenvironment. This paper will evaluate the relevance of Ktrans and ADC including different pathological types of breast nodules. Methods A retrospective study was conducted with 52 patients with breast nodules,including 24 patients with breast cancer( average age 47. 3 years old),and 28 patients with benign breast tumors( average age 42. 1 years old). All patients underwent dynamic contrast-enhanced T1-weighted MR perfusion and diffusion-weighted imaging using a 1. 5 T scanner. Ktrans was estimated by specially designed software. For each tumor,regions of interest( ROIs) were manually selected on corresponding Ktrans and ADC maps. Pearson correlation coefficients were obtained for maximum,mean and minimum values of Ktrans and ADC of all ROIs. Results The results of statistical analysis show the negative relevance when compare the max,min,and mean Ktrans and ADC values. The three pearson correlation coefficient( rmax,rmin and rmean) are respectively-0. 483( P < 0. 001),-0. 55( P < 0. 001),and-0. 527( P <0. 001). However,there is no significant correlation between Ktrans and ADC values in sub-pathological groups including adenofibroma,papilloma and other benign breast tumors. Conclusion The results of this paper show that there is a negative correlation between quantitive parameters( Ktrans and ADC) of MR perfusion imaging and diffusion imaging in spite of the pathological types of breast nodules,which reveal that the number of tumor cells,ischemic injury,and complex changes of extracellular matrix may be modulated or influenced by the microvascular permeability.
【Key words】 Dynamic contrast-enhanced MRI; Diffusion weighted imaging; Breast cancer; Apparent diffusion coefficient; Permeability;
- 【文献出处】 医学影像学杂志 ,Journal of Medical Imaging , 编辑部邮箱 ,2016年04期
- 【分类号】R737.9;R445.2
- 【被引频次】4
- 【下载频次】166