The potential of multiparametric MRI of the breast Journal Article
| Authors: | Pinker, K.; Helbich, T. H.; Morris, E. A. |
| Article Title: | The potential of multiparametric MRI of the breast |
| Abstract: | MRI is an essential tool in breast imaging, with multiple established indications. Dynamic contrast-enhanced MRI (DCEMRI) is the backbone of any breast MRI protocol and has an excellent sensitivity and good specificity for breast cancer diagnosis. DCE-MRI provides high-resolution morphological information, as well as some functional information about neoangiogenesis as a tumour-specific feature. To overcome limitations in specificity, several other functional MRI parameters have been investigated and the application of these combined parameters is defined as multiparametric MRI (mpMRI) of the breast. MpMRI of the breast can be performed at different field strengths (1.5-7 T) and includes both established (diffusion-weighted imaging, MR spectroscopic imaging) and novel MRI parameters (sodium imaging, chemical exchange saturation transfer imaging, blood oxygen level-dependent MRI), as well as hybrid imaging with positron emission tomography (PET)/MRI and different radiotracers. Available data suggest that multiparametric imaging using different functional MRI and PET parameters can provide detailed information about the underlying oncogenic processes of cancer development and progression and can provide additional specificity. This article will review the current and emerging functional parameters for mpMRI of the breast for improved diagnostic accuracy in breast cancer. © 2016 The Authors. Published by the British Institute of Radiology. |
| Journal Title: | British Journal of Radiology |
| Volume: | 90 |
| Issue: | 1069 |
| ISSN: | 0007-1285 |
| Publisher: | British Institute of Radiology |
| Date Published: | 2017-01-01 |
| Start Page: | 20160715 |
| Language: | English |
| DOI: | 10.1259/bjr.20160715 |
| PROVIDER: | scopus |
| PUBMED: | 27805423 |
| PMCID: | PMC5605035 |
| DOI/URL: | |
| Notes: | Review -- Export Date: 2 February 2017 -- Source: Scopus |
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