Keywords: Breast, Breast, Axillary lymph node; metastasis
Motivation: The aim of this study was to investigate whether synthetic MRI-derived quantitative maps can predict metastasis of axillary lymph nodes (ALNs) in breast cancer.
Goal(s): Searching for a noninvasive method to predict lymph node metastasis in breast cancer.
Approach: 61 breast cancer patients were recruited for the study and the status of ALNs was confirmed by pathology. T1, T2, and PD maps were obtained for each patient.
Results: Statistically significant differences in PD, minimal ADC , anatomic features of tumor shape and size were observed between patients with and without metastatic ALNs metastasis. It was shown that PD+Min ADC+shape+size with highest AUC of 0.86.
Impact: it can be concluded that syMRI derived relaxation maps may be useful for predicting ALNs status in breast cancer.
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