About this Research Topic
Breast Magnetic Resonance Imaging (MRI) has become a fundamental method in the management of breast cancer patients. In addition to morphology assessment, MRI can provide functional information that contributes to the characterization of breast tumors. MRI has thus proven to be superior to conventional imaging (mammography and ultrasound) for preoperative staging and response evaluation to neoadjuvant chemotherapy. In spite of the evidence that MRI can be used to improve breast cancer treatment, guidelines differ widely in their recommendations for the performance of breast MRI in women with newly diagnosed breast cancer. MRI can also provide information on tumor aggressiveness and intratumoral heterogeneity, which will likely play an important role in personalized medicine. While many patients are now being submitted to neoadjuvant treatment based on a pathological diagnosis made from core needle biopsies - which represent only a small portion of the tumor - imaging can better provide whole tumor evaluation.
The aim of this Research Topic is therefore, to discuss the role of breast MRI in improving the treatment and prognosis of breast cancer patients. Manuscripts will be considered of interest should they focus on any aspect of the use of MRI in the management of breast cancer patients, including technical advances, use of radiomics and artificial intelligence (AI) algorithms, correlation between MRI findings and histologic, immunohistochemical, and molecular features, response evaluation, treatment outcomes, recurrence and survival.
This collection will welcome Original Research, Review, Opinion, Perspective and Method articles addressing, but not limited to, the following themes:
1. Role of Breast MRI on locoregional staging and therapeutic planning
2. Response assessment to neoadjuvant chemotherapy
3. MR-based radiomics and AI algorithms
4. Multiparametric breast MRI and technical advances, including Diffusion-Weighted imaging, MR spectroscopic
imaging and Ultrafast DCE
5. Prognostic value of MRI features
Keywords: Breast neoplasms, Magnetic resonance imaging, Artificial Intelligence, Radiomics, Prognosis
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.