剪切波弹性成像参数早期预测浸润性乳腺癌新辅助化疗病理反应的临床应用

Clinical application of shear wave elastography parameters in early assessment of neoadjuvant pathological response in patients with breast cancer

  • 摘要:
    目的 探讨剪切波弹性成像(SWE)参数早期预测浸润性乳腺癌新辅助化疗(NAC)病理反应的价值。
    方法 纳入96例接受全程NAC的浸润性乳腺癌患者, NAC前及NAC第2周期后均对患者进行常规超声和SWE检查, 获得NAC第2周期末病灶最大直径变化率(ΔD)以及NAC第2个周期末弹性最大值变化率(ΔEmax)和NAC第2个周期末弹性平均值变化率(ΔEmean)。所有患者均进行手术治疗并根据Miller & Payne病理反应分级将患者分为病理完全缓解(PCR)组(33例)和非PCR组(63例),并对上述2组临床病理资料和弹性定量参数进行比较。运用多因素Logistic回归分析获得对NAC病理反应有效的关键影响因素。绘制受试者工作特征(ROC)曲线分析和比较其预测能力。
    结果 多因素Logistic回归分析发现,人表皮生长因子受体2(HER2)和ΔEmax是乳腺癌患者NAC后是否达到PCR的独立预测因子(OR=6.25, P < 0 05; OR=3.72, P < 0 05)。HER2和ΔEmax联合模型的预测效能最优,曲线下面积(AUC)为0.87(95%CI: 0.79~0.94)。
    结论 SWE弹性参数的变化率在乳腺癌NAC早期具有预测价值, HER2和ΔEmax联合模型可提高预测NAC病理反应的效能。

     

    Abstract:
    Objective To investigate the value of shear wave elastography (SWE) parameters in early prediction of pathological response to neoadjuvant chemotherapy (NAC) in invasive breast cancer.
    Methods A total of 96 patients with invasive breast cancer who received full course NAC treatment were included. Routine two-dimensional ultrasound and SWE were performed in patients before NAC and after the second cycle to obtain change rate of maximum lesion diameter at the end of the second cycle of NAC (ΔD), change rate of maximum elastic value at the end of the second cycle of NAC (ΔEmax) and change rate of average elastic value at the end of secondcycle of NAC(ΔEmean). All patients were treated surgically and were divided into pathological complete response (PCR) group(n=33) and non-PCR group(n=63) according to Miller&Payne's pathological grade. The clinicopathological data and elastic quantitative parameters of the two groups were compared. Receiver operating characteristic (ROC) curves were plotted to analyze and compare their predictive efficacy.
    Results Multivariate Logistic regression analysis showed that human epidermal growth factor receptor 2 (HER2) and ΔEmax were independent predictors of NAC pathological response (OR=6.25, P < 0.05; OR=3.72, P < 0.05). The prediction efficiency of the combined model of HER2 and ΔEmax was optimal, with the area under the curve (AUC) of 0.87 (95%CI, 0.79 to 0.94).
    Conclusion The change rates of SWE elastic parameters have predictive value in the early stage of NAC for breast cancer. The combined HER2 and ΔEmax model can improve the diagnostic efficiency in predicting the pathological response of NAC.

     

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