摘要
目的建立超声特征与免疫组化特征相结合的乳腺癌新辅助化疗(NAC)疗效预测模型。方法对2021年7月至2024年7月在解放军总医院第五医学中心203例行术前NAC乳腺癌患者进行筛查。根据纳入/排除标准筛选后,最终纳入177例患者。收集超声及免疫组化资料。根据术后病理情况将患者分为病理完全缓解组(pCR)和非病理完全缓解组(非pCR组)。单因素分析中P<0.01的因素采用多因素Logistic回归进行评价。采用独立预测因素构建超声-免疫组化联合模型并进行Bootstrap验证。结果病灶的最大径缩小率、后方回声衰减、PR和Her-2为pCR的独立预测因素(P<0.05),构建的联合模型具有良好的准确性和稳定性。结论超声与免疫组化特征相结合的联合模型能有效评价乳腺癌患者NAC后的pCR结果。
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<0.01 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.
作者
李兆云
庞月
陈翠京
毛京宁
杜芮
汉婉晴
田红丽
皋月娟
白玲
LI Zhaoyun;PANG Yue;CHEN Cuijing;MAO Jingning;DU Rui;HAN Wanqing;TIAN Hongli;GAO Yuejuan;BAI Ling(Ultrasound Department,the Fifth Medical Center,Chinese PLA General Hospital,Beijing 100071,China;Ultrasound Department,Jinan Fifth People’s Hospital,Jinan 250022,China;Ultrasound Department,Beijing Electric Power Hospital,State Grid Corporation,Beijing 100073,China;Ultrasound Department,Nanjing Gaochun People’s Hospital,Nanjing 211303,China)
出处
《军事医学》
2025年第9期687-693,共7页
Military Medical Sciences
关键词
乳腺癌
新辅助化疗
病理完全缓解
超声特征
免疫组化
诺模图
breast cancer
neoadjuvant chemotherapy
pathological complete response
ultrasound features
immunohis-tochemistry
nomogram
