  In this study, 529 variables extracted from dynamic contrast-enhanced
magnetic resonance imaging (DCE-MRI) of 922 breast cancer patients have been
evaluated, focusing on distinguishing between recurrent and non-recurrent
cases, as well as those with and without metastasis. Special emphasis is placed
on the differences among invasive breast cancer subtypes (Luminal A, Luminal B,
HER2 positive, and TNBC). The accurate identification of the subtype is crucial
as it impacts both treatment and prognosis. The analysis is based on the
dataset from Saha et al., highlighting key factors for predicting recurrences
and metastases, providing valuable information for proper monitoring and the
selection of effective treatments.
