Personalized medicine, biomarkers of risk and breast MRI Book Section
| Authors: | Sutton, E. J.; Purvis, N.; Pinker-Domenig, K.; Morris, E. A. |
| Editors: | Heller, S. L.; Moy, L. |
| Article/Chapter Title: | Personalized medicine, biomarkers of risk and breast MRI |
| Abstract: | Breast cancer is a heterogeneous disease with inter- and intra-tumor genetic variation impacting predictive and prognostic risk. This chapter discusses the use of breast MRI, the most sensitive imaging modality for high-risk screening and pre-operative assessment, to predict breast cancer risk, to define extent of disease and to monitor neoadjuvant chemotherapeutic response at the level of the individual patient. In the current clinical landscape, immunohistochemical surrogates are used to define molecular subtypes and personalized cancer treatment and care. Radiogenomics involves the correlation of genomic information with imaging features. Feature extraction from breast MRI is being pursued on a large scale as a potential non-invasive means of defining molecular subtypes and/or developing phenotypic biomarkers that can be clinically analogous to commercially available genomic assays. Neoadjuvant chemotherapy, treatment administered in operable cancers before surgery, is increasingly used, allowing for breast conservation in women who would traditionally require mastectomy. As breast cancer genetic molecular subtypes are predictive of recurrence free and overall survival, treatment based on breast cancer molecular subtype and breast MRI is critical in evaluating response though improvement in its sensitivity for pathologic complete response. Breast MRI in the neoadjuvant cohort has provided biomarkers of response and insight into the biologic basis of disease. MRI is at the forefront of technology providing prognostic indicators as well as a crucial tool in personalizing medicine. © Springer International Publishing Switzerland 2017. All rights reserved. |
| Keywords: | genetics; biomarkers; neoadjuvant chemotherapy; texture features; breast mri; personalized medicine; response assessment; background parenchymal enhancement; tumor segmentation; radiogenomics; big data; radiomics; breast cancer molecular subtype; high-risk screening; risk markers |
| Book Title: | Breast Oncology: Techniques, Indications, and Interpretation |
| ISBN: | 978-3-319-42561-0 |
| Publisher: | Springer |
| Publication Place: | Cham, Switzerland |
| Date Published: | 2017-01-01 |
| Start Page: | 337 |
| End Page: | 349 |
| Language: | English |
| DOI: | 10.1007/978-3-319-42563-4_17 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Book Chapter: 17 -- Export Date: 3 July 2017 -- Source: Scopus |
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