ADC值及Ktrans值与前列腺癌Gleason评分的相关性研究

目的探讨前列腺癌表观弥散系数(ADC)值及容积转换常数(K~(trans))与前列腺癌病理分级(Gleason评分)的相关性,并对两者进行比较。方法回顾性分析病理证实的前列腺癌患者30例,根据病理结果中的Gleason评分将患者分为高分化、中分化及低分化组,比较组间ADC值及K~(trans)值的差异,并分析ADC值、K~(trans)值及Gleason评分间的相关性。结果三组前列腺癌ADC值及K~(trans)值组间整体差异均具有统计学意义(P0.01)。ADC值与Gleason评分、K~(trans)值呈负相关(r=-0.633,P0.01,r=-0.609,P0.01),K~(trans)与Gleason评分呈正相关(r=0.579,P0.01)。高分化组与中低分化组之间的ADC值及K~(trans)值差异均具有显著统计学意义(P0.01),利用ROC曲线分析显示ADC值与K~(trans)值的曲线下面积分别为0.861、0.838,区分高分化组与中低分化组的敏感性和特异性分别为83.3%、88.9%,75.0%、77.8%。结论前列腺癌的ADC值及K~(trans)值与Gleason评分之间具有相关性,且ADC值与Gleason评分之间的相关性较K~(trans)值高,它们能够在一定程度上帮助预测前列腺癌的分化程度。

Correlative Study of ADC Value,Ktrans Value and Gleason Score of Prostate Cancer

Objective To evaluate the correlation among ADC value, Ktrans value and pathology grade(Gleason score) of prostate cancer. Methods A retrospective analysis was carried with 30 patients with prostate cancer confirmed by pathology, According to the gleason score, we divided the patients into three groups, high grade, medium grade and slow grade, Then comparing the variation between the value of ADC and Ktrans, and analyzing the correlation between ADC, Ktrans and gleason score. Results There were statistical difference in ADC and Ktrans among these three groups(P<0.01). The value of ADC in prostate cancer showed negative correlation with Gleason score and Ktrans value(r=-0.633, P<0.01, r=-0.609, P<0.01), Ktrans value showed positive correlation with Gleason score (r=0.579, P<0.01), there were statistical differences between high-grade and medium, slow grade group in ADC and Ktrans value (P<0.01). ROC curves showed that the area under the ROC curve of ADC and Ktrans were 0.861, 0.838, the sensitivity, specificity of ADC, Ktrans were83.3%, 88.9% and 75.0%, 77.8% respectively. Conclusion There were significant correlation between ADC value, Ktrans value and Gleason scores of prostate cancer, and the correlation between ADC value and Gleason score were higher than Ktrans, they could help to predict the differentiation degree of prostate cancer.