Predictive value of quantitative regression model based on ultrasound elastography in neoadjuvant chemo-therapy for breast cancer
10.3969/j.issn.1006-5725.2018.12.028
- VernacularTitle:化疗期间超声弹性成像指标对预测乳腺癌新辅助化疗疗效的评估模型及其效能
- Author:
Lei CHEN
1
Author Information
1. 河北省唐山市开滦总医院超声医学科
- Keywords:
breast cancer;
neoadjuvant chemotherapy;
efficacy;
ultrasound elastography
- From:
The Journal of Practical Medicine
2018;34(12):2035-2038
- CountryChina
- Language:Chinese
-
Abstract:
Objective To construct a model to predict the clinical efficacy of neoadjuvant chemotherapy for breast cancer based on ultrasound elastography,and to investigate the value of the model. Methods A total of 102 patients with breast cancer treated with surgery after neoadjuvant chemotherapy were enrolled. According to Miller&Payne classification,they were divided into effective group and ineffective group. Ultrasound elastography was performed before the chemotherapy,2 cycles after the chemotherapy,and at the end of the chemotherapy, then the predictive model of the curative effect was established and verified. Results The chemotherapy was effec-tive in 82 cases out of the 102 patients. After 2 cycles of the chemotherapy,the maximum tumor diameter,systolic peak velocity in tumor(PSV),arterial resistance index in RI(RI),and lesion side shear wave velocity to contra-lateral side shear wave velocity ratio(SWVr)of the effective group were significantly less than those of ineffective group(P<0.05). PSV and SWVr after 2 cycles of the chemotherapy were independent predictors of the prognosis in patients(P<0.05). The area under the ROC curve for predicting the efficacy by the regression model made by PSV and SWVr after 2 cycles of the chemotherapy was 0.913. Conclusion PSV and SWVr after 2 cycles of the chemotherapy can predict the efficacy of neoadjuvant chemotherapy in patients with breast cancer.
