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作 者:吴朋[1] 崔蕾[2] 郭宏兵[1] 王成瑶 崔书君[1] WU Peng;CUI Lei;GUO Hongbing;WANG Chengyao;CUI Shujun(Department of Imaging,the First Hospital Affiliated to Hebei North University,Zhangjiakou 075000,China;Department of Breast Surgery,the First Hospital Affiliated to Hebei North University,Zhangjiakou 075000,China)
机构地区:[1]河北北方学院附属第一医院医学影像部,河北张家口075000 [2]河北北方学院附属第一医院乳腺外科,河北张家口075000
出 处:《中国医学影像技术》2019年第7期1022-1027,共6页Chinese Journal of Medical Imaging Technology
基 金:河北省医学科学研究重点课题计划(20180867)
摘 要:目的探讨动态增强MRI(DCE-MRI)定量参数全域直方图鉴别诊断乳腺导管原位癌(DCIS)与 DCIS伴微浸润(DCIS-Mi)的价值。方法收集41例DCIS-Mi和37例DCIS患者,术前行DCE-MRI,计算容积转运常数(K^trans)、速率常数(KeP)、血浆容积分数(VP),并记录其全域直方图参数,包括平均值、中位数及10%、25%、50%、75%、90%分位数(P10、P25、P50、P75、P90)。比较DCIS-Mi和DCIS组间各参数差异,并分析最佳参数的诊断效能。结果 DCIS-Mi组K^trans 参数中的平均值及各百分位数,KeP参数中的平均值、中位数、P50、P75、P90 ,VP参数中的平均值、中位数、P25、P50、P75 均高于DCIS组(P均<0.05)。 Logistic 回归结果显示K^trans 平均值、K^trans -P25、K^trans -P50、K^trans -P75、K^trans -P90、KeP-P50、KeP-P75、KeP-P90、VP平均值、VP-P75 为诊断DCIS-Mi的最佳变量,且其诊断DCIS-Mi的ROC曲线AUC均>0.80。联合变量 Logistic 回归模型具有最高的AUC(0.968),其临界值、敏感度和特异度分别为2.152、0.962和0.947。结论 DCE-MRI全域直方图分析能量化反映肿瘤特征,准确诊断及鉴别诊断乳腺DCIS与DCIS-Mi。Objective To explore the value of dynamic enhanced MRI (DCE-MRI) quantitative parameter global histogram in differential diagnosis of breast ductal carcinoma in situ (DCIS) and DCIS with micro-invasion (DCIS-Mi).Methods Totally 41 patients with DCIS-Mi and 37 patients with DCIS underwent DCE-MRI before operation.The volume transport constant (K^trans),rate constant (Kep) and plasma volume fraction (Vp) were calculated,and the parameters of the global histogram were recorded,including mean,median and the quantiles of 10%,25%,50%,75% and 90%(P10,P25,P50,P75 and P90).The parameters were compared between DCIS-Mi and DCIS patients,and the diagnostic values were evaluated.Results The mean and percentiles of K^trans parameters,the mean,median,P 50,P 75 and P 90 of Kep parameters,the mean,median,P 25,P 50 and P 75 of V p parameters of DCIS-Mi patients were all higher than those of DCIS patients (all P< 0.05).Logistic regression results showed that K^trans mean,K^trans -P 25,K^trans -P 50,K^trans -P 75,K^trans -P90,Kep -P50,Kep -P75,Kep -P90,Vp mean,Vp-P75 were the best variables for diagnosis of DCIS-Mi,and AUC>0.80.The joint variable Logistic regression model had the highest AUC (0.968),and its cut-off value,sensitivity and specificity was 2.152,0.962 and 0.947,respectively.Conclusion DCE-MRI global histogram analysis can quantitatively reflect tumor characteristics,accurately differentiate breast DCIS and DCIS-Mi.
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