高频超声联合磁共振扩散加权成像对乳腺癌预后的预测价值

Prognostic Value of High Frequency Ultrasound Combined with Diffusion-weighted Magnetic Resonance Imaging in Breast Cancer

目的 探讨高频超声联合磁共振扩散加权成像对乳腺癌预后的预测价值。方法 选取本院2020年7月到2022年12月收治的95例乳腺癌患者作为研究对象,均行根治性手术治疗,患者术前行高频超声及磁共振扩散加权成像检查。术后随访2年,根据预后分为预后良好组(70例)和预后不良组(25例)。比较组间表观弥散系数(ADC)、收缩期峰值血流速度(PSV)、阻力指数(RI)等参数变化。单因素及多因素Logistic回归分析高频超声及磁共振扩散加权成像对乳腺癌预后的预测风险价值,绘制受试者工作特征(ROC)曲线评估其对乳腺癌预后的预测价值。结果 相较于预后良好组,预后不良组ADC降低,PSV、RI升高(P<0.05);多因素Logistic回归分析显示,ADC、PSV、RI为预测乳腺癌预后的影响因素(P<0.05);ROC曲线显示,ADC、PSV、RI联合检测时对乳腺癌预后不良的预测价值较高。结论 高频超声与磁共振扩散加权成像联合检测对乳腺癌预后有一定的预测价值。

Objective To investigate the prognostic value of high frequency ultrasound combined with diffusion-weighted magnetic resonance imaging in breast cancer.Methods A total of 95 patients with breast cancer admitted to our hospital from July 2020 to December 2022 were selected as the study objects.All of them underwent radical surgery,Patients underwent preoperative high-frequency ultrasound and magnetic resonance diffusion weighted imaging examination.After 2 years of follow-up,the patients were divided into good prognosis group(70 cases) and poor prognosis group(25 cases).The apparent dispersion coefficient(ADC),peak systolic velocity(PSV),resistance index(RI) and other parameters were compared between groups.Univariate and multivariate Logistic regression were used to analyze the predictive risk value of high frequency ultrasound and magnetic resonance diffusion-weighted imaging for breast cancer prognosis,and receiver operating characteristic(ROC)cu rves were plotted to evaluate their predictive value for breast cancer prognosis.Results Compa red with the good prognosis group,ADC in the poor prognosis group was decreased,PSV and RI were increased(P<0.05).Multivariate Logistic regression analysis showed that ADC,PSV and RI were the influential factors in predicting the prognosis of breast cancer(P<0.05).ROC curve showed that the combined detection of ADC,PSV and RI had high predictive value for poor prognosis of breast cancer.Conclusion The combination of high frequency ultrasound and MRI with diffusion-weighted imaging can predict the prognosis of breast cancer.