机构地区:[1]北京协和医学院中国医学科学院肿瘤医院影像诊断科,北京100021
出 处:《中国医学影像技术》2013年第11期1751-1755,共5页Chinese Journal of Medical Imaging Technology
摘 要:目的探讨动态对比增强MRI(DCE-MRI)半定量参数预测乳腺癌新辅助化疗(NAC)疗效的价值。方法对48例经核芯针穿刺证实为乳腺浸润性癌的患者分别于NAC前和NAC 2周期后行DCE-MRI,采用两种ROI选取方法 (ROIwhole法和ROIhs法)测量最大线性斜率(Smax)、第二期强化程度(SI2%)和峰值强化程度(SIpeak%)。按照Miller&Pay-ne病理疗效分级系统,将患者分为组织学非显著反应(NMHR)组和组织学显著反应(MHR)组,比较两组NAC 2周期后各参数的变化值及两种方法测得的参数预测乳腺癌NAC疗效的ROC曲线下面积。结果 48例中,NMHR组35例,MHR组13例。MHR组中应用ROIwhole法测得的Smax、SI2%和SIpeak%的变化值分别为-54.6%(-86.8%^-19.8%)、-54.5%(-88.5%^-13.3%)和-23.3%(-63.5%~28.1%),NMHR组应用ROIwhole法得到的参数变化值分别为-14.7%(-68.8%~113.8%)、-18.7%(-74.3%~228.6%)和1.0%(-54.5%~29.6%),差异有统计学意义(P均<0.05);MHR组应用ROIhs法测得的参数变化值分别为-57.3%(-82.2%~15.3%)、-41.1%(-84.3%^-16.8%)和-19.3%(-58.0%~5.8%),NMHR组应用ROIhs法得到的参数变化值分别为-10.5%(-49.4%~130.8%)、-13.0%(-55.1%~216.7%)和-3.9%(-55.7%~51.2%),差异亦有统计学意义(P均<0.01)。两种方法测得的Smax、SI2%和SIpeak%的变化值预测NAC疗效的ROC曲线下面积的差异无统计学意义(P=0.85、0.61和0.84)。结论 DCE-MRI半定量参数可早期预测乳腺癌NAC的疗效;ROI选取方法对参数预测价值的影响不大。Objective To explore the value of sembquantitative parameters in dynamic contrast enhanced MRI (DCE- MRI) for predicting final pathologic response in primary breast cancer patients who underwent neoadjuvant chemotherapy (NAC). Methods Totally 48 patients with pathologically proved infiltrating ductal carcinoma through core needle puncture biopsy underwent DCE-MRI before NAC and 2 cycles after the beginning of treatment. Semi-quantitative parameters (S SI2 % and Slpeak %) were obtained by two ROI methods (ROIwhole and ROIhs). The patients were categorized as non-major histological response (NMHR) group and major histological response (MHR) group according to histological response evaluated using Miller & Payne system. The changes of semi-quantitative parameter 2 cycles after NAC were compared between MHR group and NMHR group. Areas under ROC for parameters predicting NAC were compared between ROIwholo and ROIhs. Results Among 48 patients, 35 were grouped into NMHR group and 13 into MHR group. Changes in kinetic parameters (S SI2 % and SIpeak %) obtained by ROlwhole were - 54. 6% ( - 86. 8% to - 9.8%), - 54. 5% (-88. 5% to -13.3%)and - 23.3% (- 63.5% to 28.1%) in MHR group, while were - 14.7% (-68.8% to 113.8%), -18.7% (-74.3% to 228.6%) and 1.0% (-54.5~ to 29.6~//oo) in NMHR group, respectively (all P〈 0.05). Changes of kinetic parameters obtained by ROIhs were - 57.3 % (- 82.2 % to 15. 3 %), - 41. 1% ( - 84. 3 % to -16.8%) and-19.3% (-58.0% to 5.8%) in MHR group, while were -10.5% (-49.4% to 130.8%), -13.0% (-55.1% to 216.7%) and -3.9% (-55.7% to 51.2%) in NMHR group, respectively (all P〈0.01). No significant difference of areas under ROC curve for kinetic parameters predicting NAC between the two ROI methods (ROIwhole and ROIh,) was found (P=0.85, 0.61 and 0.84). Conclusion Semi-quantitative dynamic parameters of DCE-MRI can predict final pathologic response of primary breast cancer 2 cycles after NAC. ROI methods h
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