分子影像学杂志2025，Vol.48Issue(9)：1078-1084,7.DOI:10.12122/j.issn.1674-4500.2025.09.04
超声影像组学联合临床特征对乳腺癌新辅助化疗疗效后病理完全缓解的预测价值
Predictive value of ultrasound radiomics combined with clinical features for pathological complete response after neoadjuvant chemotherapy in breast cancer
摘要
Abstract
Objective To explore the clinical value of a combined model constructed based on ultrasound radiomics features and clinicopathological features in predicting pathological complete response after neoadjuvant chemotherapy(NAC)for breast cancer.Methods Retrospective analysis included 160 breast cancer patients receiving NAC before surgery at the First Affiliated Hospital of Bengbu Medical College from August 2021 to July 2024.By analyzing the ultrasound images,the radiomics features were extracted,and the features with statistical significance were screened out for subsequent modeling.Multivariate Logistic regression analysis and the XGBoost algorithm were used to construct joint models based on ultrasound radiomics features,clinicopathological features,and their combination,respectively,and nomograms were drawn.Model performance for NAC response was evaluated using AUC and decision curve analysis,with calibration curves assessing prediction-actuality agreement in the combined model.Results Estrogen receptor(P=0.006),progesterone receptor(P=0.024),and human epidermal growth factor receptor-2(P=0.034)emerged as independent predictors of NAC response among clinicopathological features.The integrated model combining these three clinical predictors with radiomics features demonstrated optimal predictive performance,achieving a training-set AUC of 0.863,significantly higher than individual models.Calibration curves confirmed robust agreement between predicted and observed outcomes,while decision curve analysis indicated substantial clinical net benefit.Conclusion The combined model constructed based on the characteristics of ultrasound radiomics and clinicopathological features can effectively predict the efficacy of NAC in breast cancer and provide strong support for clinical decision-making.This model has high predictive accuracy and clinical application value,and is expected to become an important tool for individualized treatment of breast cancer.关键词
乳腺癌/新辅助化疗/影像组学/病理完全缓解Key words
breast cancer/neoadjuvant chemotherapy/radiomics/pathologic complete response引用本文复制引用
卜文,李阳,杨心怡,朱芸,李陆..超声影像组学联合临床特征对乳腺癌新辅助化疗疗效后病理完全缓解的预测价值[J].分子影像学杂志,2025,48(9):1078-1084,7.基金项目
安徽省高校自然科学研究重点项目(2022AH051473) （2022AH051473）
