Conclusion
breast cancer
PATHOLOGY, BREAST CANCER
This study described a cN-based prediction model for ALNM in breast cancer patients, presenting a novel personalized clinical decision nomogram that can be used to predict ALNM status. The integrated nomogram is valuable for determining preoperative ALNM. When removing the pathGrade signature based on puncture pathology results from the integrated model, the nomogram did not reduce the predictive accuracy of the nomogram. But removing cN signature significantly reduced the predictive ability of the prediction model. Our results suggest that cN staging based on preoperative ultrasound is valuable for determining preoperative ALNM. The cN-based nomograms are useful clinical tools for predicting ALNM and can provide a preoperative prediction.