Evaluation of axillary lymph node metastasis of breast cancer via an ultrasonic multi parameter regression model / 军事医学

ABSTRACT

Objective To evaluate conventional ultrasound combined with real-time elastography in differential diagnosis of metastatic axillary lymph nodes of breast cancer with a logistic regression model.Methods Conventional ultrasound and real-time elastography were performed in 112 breast cancer patients with 113 axillary lymph nodes.All the cases were confirmed with pathological examinations after surgery. A binary logistic regression model based on ultrasonographic features was developed.A receiver operator characteristic ( ROC) curve was constructed to assess the performance of the model.Results There were 28 nodes with no metastasis and 85 with metastasis in a total of 113 axillary lymph nodes.Three ultrasonographic features including the elastic strain ratio(SR), elastic score and shape were finally selected into the logistic regression model .The correct rate of the logistic regression model for predicting axillary lymph node metastasis was 93.8%, and the area under ROC curve was 0.962.Conclusion The binary classification logistic regression model has a good diagnostic efficacy in the diagnosis of benign and malignant axillary lymph nodes,while real-time elastography can improve the accuracy of conventional ultrasound in the diagnosis of axillary lymph nodes.