Female patients diagnosed with breast cancer by breast biopsy and receiving neoadjuvant chemotherapy in our hospital from 2020 to 2024 were selected as the study objects, and their puncture pathology data, general clinical characteristics, hematology test data, imaging data and surgical pathology data were collected, and the data were collated for statistical analysis. The influencing factors of pCR after neoadjuvant therapy were determined by univariate and multivariate logistic regression analysis, and the nomogram and ROC curve were drawn. The model was verified internally through bootstrap resampling 1000 times, and the correction curve was drawn to evaluate the prediction ability of the model.
