期刊
EUROPEAN JOURNAL OF RADIOLOGY
卷 146, 期 -, 页码 -出版社
ELSEVIER IRELAND LTD
DOI: 10.1016/j.ejrad.2021.110051
关键词
Digital breast tomosynthesis; Contrast-enhanced mammography; Automated breast ultrasound; Magnetic resonance imaging; Radionuclide breast imaging; Artificial intelligence
Breast cancer is a heterogeneous disease with various subtypes, and recent studies focus on using breast imaging to predict these subtypes and treatment response. The introduction of multiparametric studies and radiogenomics provides new insights for accurate diagnosis and treatment.
Breast cancer is a heterogeneous disease nowadays, including different biological subtypes with a variety of possible treatments, which aim to achieve the best outcome in terms of response to therapy and overall survival. In recent years breast imaging has evolved considerably, and the ultimate goal is to predict these strong phenotypic differences noninvasively. Indeed, breast cancer multiparametric studies can highlight not only qualitative imaging parameters, as the presence/absence of a likely malignant finding, but also quantitative parameters, suggesting clinical-pathological features through the evaluation of imaging biomarkers. A further step has been the introduction of artificial intelligence and in particular radiogenomics, that investigates the relationship between breast cancer imaging characteristics and tumor molecular, genomic and proliferation features. In this review, we discuss the main techniques currently in use for breast imaging, their respective fields of use and their technological and diagnostic innovations.
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