摘要
目的通过乳腺自动全容积扫查系统(ABVS)在乳腺癌新辅助化疗(NACT)期间观察肿瘤体积变化,探讨其与乳腺癌原癌基因人类表皮生长因子受体2基因(HER2)表达的相关性。方法使用ABVS分析109例乳腺癌患者NACT期间各个化疗周期后肿瘤体积的变化,追踪病理及免疫组化结果,采用t检验进行单因素分析,再进行Logistic回归分析筛选独立的预测指标,并建立回归方程;使用受试者工作特征(ROC)曲线评价回归方程预测HER2表达情况的价值。结果与HER2表达有显著相关性的参数包含:NACT第二周期后肿瘤体积(V2)、NACT第三周期后肿瘤体积(V3)及术前肿瘤体积(V4)(P均<0.05),但进入Logistic回归方程的变量为V2及V4;由回归方程产生的预测概率PnewROC曲线下面积为0.875,预测价值良好。结论 ABVS观察肿瘤体积变化对评估乳腺癌患者HER2表达有良好的预测价值。
Objective To investigate the relationship between the volume change of breast carcinoma by Automatic Breast Volume Scanning of neoadjuvant chemotherapy(NACT)and Human epidermalgrowth factor receptor-2(HER2)expression.Methods The volume changes in NACT and pathological characteristics of 109 patients with breast carcinoma were collected,and were firstly tested with t test,secondly,analyzed by Logistic regression,then,established a regression equation.Finally,the Receiver operating characteristic(ROC)cure was used to assess the accuracy of the regression equation.Results Analysis showed that the expression of HER2 was significantly associated with those parameters,such as,at the end of the second cycle of NACT(V2),the third(V3)and the final cycle(V4),whereas,V2 and V4 entered into the Logistic regression equation.And,area under the ROC curve of pre-probability p(pnew)generated by the regression equation was 0.875.Conclusions The volume changes have better predictive value for HER2 expression in patients with breast carcinoma.
引文
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