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.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords