目的探讨3.0 T MR功能成像多定量参数(K^(trans)、K_(ep)、V_e)与乳腺癌生物学预后因子Ki-67之间的相关性。方法回顾性分析经病理证实的24例女性乳腺癌患者的3.0 T MR动态增强扫描资料,以及病灶各定量参数值(K^(trans)、K_(ep)、V_e)和...目的探讨3.0 T MR功能成像多定量参数(K^(trans)、K_(ep)、V_e)与乳腺癌生物学预后因子Ki-67之间的相关性。方法回顾性分析经病理证实的24例女性乳腺癌患者的3.0 T MR动态增强扫描资料,以及病灶各定量参数值(K^(trans)、K_(ep)、V_e)和免疫组化Ki-67阳性表达结果。用秩相关统计方法观察各定量参数与Ki-67阳性表达率间是否存在相关性。结果 K^(trans)值及K_(ep)值与Ki-67阳性表达率统计学上存在正相关关系(P=0.000及P=0.040,均<0.05),V_e值与Ki-67阳性表达率无相关关系(P=0.392,>0.05)。结论 MRI定量参数K^(trans)、K_(ep)值可作为乳腺癌生物学行为评价的参考指标,具有无创性评价乳腺癌预后的应用价值。展开更多
The spatial structure of scenic spots to a certain extent determines the spatial pattern of tourism over an entire region.This study examined the spatiotemporal evolution of A-level tourist attractions of Qiandongnan ...The spatial structure of scenic spots to a certain extent determines the spatial pattern of tourism over an entire region.This study examined the spatiotemporal evolution of A-level tourist attractions of Qiandongnan Prefecture during 2012,2015 and 2018 using GIS spatial analysis methods such as the nearest-neighbor index,kernel density,standard deviation ellipse and geographically weighted regression.The results indicated continuous growth of tourist attractions in Qiandongnan Prefecture in 2012–2018,which could be divided into three growth stages,namely low,stable and rapid.Although tourist attractions were clustered,the degree of clustering declined with an unbalanced spatial distribution,mainly concentrated in areas around the city and areas with high tourism value.The area of highest density of tourist attractions shifted from northwest to southeast.Based on these results,resource availability,social and economic conditions,traffic accessibility and policy factors were identified as the main factors influencing the spatiotemporal differentiation of scenic spots in Qiandongnan Prefecture.展开更多
文摘目的探讨3.0 T MR功能成像多定量参数(K^(trans)、K_(ep)、V_e)与乳腺癌生物学预后因子Ki-67之间的相关性。方法回顾性分析经病理证实的24例女性乳腺癌患者的3.0 T MR动态增强扫描资料,以及病灶各定量参数值(K^(trans)、K_(ep)、V_e)和免疫组化Ki-67阳性表达结果。用秩相关统计方法观察各定量参数与Ki-67阳性表达率间是否存在相关性。结果 K^(trans)值及K_(ep)值与Ki-67阳性表达率统计学上存在正相关关系(P=0.000及P=0.040,均<0.05),V_e值与Ki-67阳性表达率无相关关系(P=0.392,>0.05)。结论 MRI定量参数K^(trans)、K_(ep)值可作为乳腺癌生物学行为评价的参考指标,具有无创性评价乳腺癌预后的应用价值。
基金supported by the Natural Science Foundation of Education Department of Guizhou,China(Grant No.KY[2018]367).
文摘The spatial structure of scenic spots to a certain extent determines the spatial pattern of tourism over an entire region.This study examined the spatiotemporal evolution of A-level tourist attractions of Qiandongnan Prefecture during 2012,2015 and 2018 using GIS spatial analysis methods such as the nearest-neighbor index,kernel density,standard deviation ellipse and geographically weighted regression.The results indicated continuous growth of tourist attractions in Qiandongnan Prefecture in 2012–2018,which could be divided into three growth stages,namely low,stable and rapid.Although tourist attractions were clustered,the degree of clustering declined with an unbalanced spatial distribution,mainly concentrated in areas around the city and areas with high tourism value.The area of highest density of tourist attractions shifted from northwest to southeast.Based on these results,resource availability,social and economic conditions,traffic accessibility and policy factors were identified as the main factors influencing the spatiotemporal differentiation of scenic spots in Qiandongnan Prefecture.