The nomogram model based on the combination of intratumoral and peritumoral ultrasound radiomics scores and clinical factors demonstrates good predictive value for the efficacy of neoadjuvant chemotherapy in breast cancer
XU Yuqing
YANG Ru
CI Hongfei
PENG Xiaoyu
LI Yang
Abstract：Objective To explore an integrated model that combines intratumoral and peritumoral sonographic features along with clinicopathological factors for predicting the response to neoadjuvant chemotherapy in breast cancer.Methods A retrospective analysis was conducted on a total of 145 female breast cancer patients who underwent neoadjuvant chemotherapy in our hospital.Based on postoperative pathological results,the patients were divided into a pathological complete response(pCR)group(n=85)and a non-pCR group(n=60).The intratumoral and peritumoral regions were demarcated,and radiomics features were extracted using 3D Slicer software.The radiomics model was constructed,and radiomics scores were obtained through the support vector machine algorithm.The radiomics score with the highest performance from the radiomics model and the clinical independent predictors were selected to construct a nomogram model.The ROC curve was drawn to assess the predictive performance of each model.Results In comparison to single intratumoral and peritumoral models,the intratumoral+peritumoral model exhibited a superior prediction effect.ER and HER-2 were chosen as independent predictors to construct a clinical model.The AUC of the training set and validation set were 0.707 and 0.778 respectively.The diagnostic performance of the nomogram model was enhanced compared to the other models,and the AUC of the training set and validation set was increased to 0.874 and 0.885.Conclusion The nomogram model based on the intratumoral and peritumoral radiomics scores of primary breast cancer derived from pre-treatment ultrasound images in combination with clinical factors holds significant predictive value for the efficacy of neoadjuvant chemotherapy in breast cancer.This model is expected to guide clinical decision-making.
Keywords：breast cancerneoadjuvant therapyradiomicsperitumoralnomogram
Publication Date：2025-03-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 264-271 )