Fig. 3From: Construction of a risk stratification model integrating ctDNA to predict response and survival in neoadjuvant-treated breast cancerPredicting response and DFS combing mutation characteristics and clinical characteristics. A The ROC curve of predictive model in RCB index system. B Nomogram from stepwise logistic regression for predicting pCR in RCB index system. C The ROC curve of predictive model in MP scoring system. D Nomogram from stepwise logistic regression for predicting pCR in MP scoring system. E Predicting DFS combing important mutation and clinical characteristics. F Kaplan–Meier curves for patients in high- and low-risk groups. Response rate refers to the probability of a patient responding to treatmentBack to article page