This study aimed to investigate the discriminative performance of pharmacokinetic quantitative parameters with histogram and texture features on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in predicting axillary lymph nodes metastasis in breast cancer. Results showed that 6 pharmacokinetic quantitative and their histogram parameters,53 texture features of DCE-MRI were statistically difference between the positive and negative group. In cross-validation, the accuracy of the classifier obtained 90% for identifying the metastatic axillary lymph node. The radiomic features based on quantitatively pharmacokinetic DCE-MRI demonstrated promising application in discriminating between metastatic positive and negative axillary nodes of breast cancer.
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