Predictive modeling of efficacy of neoadjuvant chemotherapy for breast cancer using ultrasound and immunohistochemistry
10.7644/j.issn.1674-9960.2025.09.007
- VernacularTitle:超声特征联合免疫组化建立乳腺癌新辅助化疗疗效的预测模型及价值分析
- Author:
Zhaoyun LI
1
;
Yue PANG
;
Cuijing CHEN
;
Jingning MAO
;
Rui DU
;
Wanqing HAN
;
Hongli TIAN
;
Yuejuan GAO
;
Ling BAI
Author Information
1. 解放军总医院第五医学中心超声诊断科,北京 100071
- Keywords:
breast cancer;
neoadjuvant chemotherapy;
pathological complete response;
ultrasound features;
immunohis-tochemistry;
nomogram
- From:
Military Medical Sciences
2025;49(9):687-693
- CountryChina
- Language:Chinese
-
Abstract:
Objective To establish a model that integrates ultrasound features and immunological characteristics for predicting the efficacy of neoadjuvant chemotherapy(NAC)in breast cancer patients.Methods A total of 203 breast cancer patients undergoing preoperative NAC at the Fifth Medical Center of the PLA General Hospital between July 2021 and July 2024 were screened.In line with the inclusion/exclusion criteria,177 patients were included.Data on ultrasound and immunohistochemistry was collected.These patients were divided into pathological complete response(pCR)and non-pathological complete response(non-pCR)groups based on postoperative pathology.Factors with P＜0.0 1 in univariate analysis were evaluated using multivariate Logistic regression.Independent predictive factors were used to construct and validate the ultrasound-immunohistochemical model via Bootstrap.Results The reduction rateof the maximum diameter of lesions,posterior echo attenuation,PR status and HER-2 status were identified as independent predictors of pCR(all P＜0.05).The model proved to be highly accurate and stable.Conclusion The model that combines ultrasound and immunohistochemical features can effectively evaluatep CR after NAC in breast cancer patients.
