扩散峰度成像预估宫颈鳞癌病理分级的价值

目的：探讨扩散峰度成像(DKI)定量参数预估宫颈鳞状细胞癌(CSCC)病理分级的价值。方法回顾性分析45例CSCC患者的DKI图像,按照病理结果分为低分化组22例,高中分化组23例。由2位观察者分别测量2组病灶实质区DKI各参数值,包括平均扩散峰度值(MK)、平行扩散峰度值(Ka)、垂直扩散峰度值(Kr)、峰度各向异性分数(FAk)、平均扩散系数值(MD)、平行扩散系数值(Da)、垂直扩散系数值(Dr)及各向异性分数(FA)。采用组内相关系数(ICC)对2位观察者各参数测量结果一致性进行检验；采用两独立样本t检验比较2组各参数值；采用受试者工作特征曲线(ROC)评估各参数预估低分化 CSCC的效能,并找出相应界值。结果2位观察者测得2组病灶各参数值的一致性良好(ICC>0.75)。低分化组MK、Ka及Kr值大于高中分化组(P<0.05),低分化组 MD、Da及Dr值小于高中分化组(P<0.05),2组 FAk及 FA值间无差异(P>0.05)。MK、Ka、Kr、MD、Da、Dr值预估低分化CSCC的曲线下面积(AUC)分别为0.914、0.831、0.865、0.850、0.778、0.865,MK≥0.973、Ka≥1.075、Kr≥0.823、MD≤0.974μm2/ms、Da≤1.185μm2/ms、Dr≤0.762μm2/ms为预估低分化CSCC的界值。结论 DKI能够有效地预估CSCC的病理分级,有着很好的临床应用前景。

The value of diffusion kurtosis imaging in evaluating pathological grade of cervical squamous cell carcinoma

Objective To investigate the value of diffusion kurtosis imaging (DKI)quantitative parameters in evaluating patholog-ical grade of cervical squamous cell carcinoma (CSCC).Methods The DKI images of 45 patients with CSCC were analyzed retrospec-tively.According to the results of pathology,22 cases were divided into poorly differentiated group and 23 cases well-moderately dif-ferentiated group.The DKI parameters of two groups were measured by two observers,which included mean kurtosis (MK),axial kurtosis (Ka),radial kurtosis (Kr),fractional anisotropy of kurtosis (FAk),mean diffusivity (MD),axial diffusivity (Da),radial diffusivity (Dr)and fractional anisotropy (FA).The intra-class correlation coefficients (ICC)was used to test the consistency of the parameters measured results on two observers.The two independent samples t test was used to compare the parameters of two groups,and the ROC curve was used to evaluate the effectiveness of each parameter in order to evaluate the poorly differentiated CSCC and find the boundary values.Results The data consistency of two observers were good (ICC>0.75).The MK,Ka and Kr values on poorly differentiated CSCC were greater than that on well-moderately differentiated (P<0.05),the MD,Da and Dr values were less than that on well-moderately differentiated (P<0.05),the FAk and FA values had no difference (P>0.05).Thearea un-der curve (AUC)of MK,Ka,Kr,MD,Da and Dr values to diagnose poorly differentiated CSCC were 0.914,0.831,0.865,0.850, 0.778 and 0.865,respectively.The boundary values of diagnosing poorly differentiated CSCC were MK≥0.973,Ka≥1.075,Kr≥0.823, MD≤0.974μm2/ms,Da≤1.185μm2/ms and Dr≤0.762μm2/ms,respectively.Conclusion DKI can effectively predict the patho-logical grading of CSCC,which has a good clinical application prospects.