Prediction of axillary lymph node metastasis in breast cancer with multi-modal ultrasound plus immunohistochemistry-based nomogram
Objective:To construct a nomogram based on multi-modal ultrasound features plus immunohistochemical characteristics,and investigate the clinical value in predicting axillary lymph node metastasis(ALNM)in breast cancer.Methods:The clinical and imaging data were reviewed in 234 patients with breast cancer.Univariate and multivariate logistic regression models were used to screen the independent risk factors for predicting ALNM with reference to the pathological findings.Nomogram prediction model was developed in accordance the independent risk factors identified,and receiver operating characteristic(ROC)curve was used to evaluate the diagnostic efficiency of the model.Results:Multivariate logistic regression analysis showed that maximum lesion diameter＞20 mm,microcalcification,retraction sign and Ki-67＞20％were independent risk factors for ALNM in breast cancer(P＜0.05).The area under ROC curve of the nomogram model based on these factors was 0.747.Conclusion:Multi-modal ultrasound plus immunohistochemistry-based nomogram is clinically valuable,because it can be used to predict ALNM and help clinicians to develop individualized treatment plans.
breast cancernomogramaxillary lymph nodeultrasound
万方数据
维普
