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Current Medical Imaging

Editor-in-Chief

ISSN (Print): 1573-4056
ISSN (Online): 1875-6603

Review Article

MRI Breast: Current Imaging Trends, Clinical Applications, and Future Research Directions

Author(s): Kartini Rahmat*, Nazimah Ab Mumin*, Marlina Tanty Ramli Hamid, Shamsiah Abdul Hamid and Wei Lin Ng

Volume 18, Issue 13, 2022

Published on: 27 July, 2022

Article ID: e150422203668 Pages: 15

DOI: 10.2174/1573405618666220415130131

Price: $65

Abstract

Magnetic Resonance Imaging (MRI) is the most sensitive and advanced imaging technique in diagnosing breast cancer and is essential in improving cancer detection, lesion characterization, and determining therapy response. In addition to the dynamic contrast-enhanced (DCE) technique, functional techniques such as magnetic resonance spectroscopy (MRS), diffusion-weighted imaging (DWI), diffusion kurtosis imaging (DKI), and intravoxel incoherent motion (IVIM) further characterize and differentiate benign and malignant lesions thus, improving diagnostic accuracy.

There is now an increasing clinical usage of MRI breast, including screening in high risk and supplementary screening tools in average-risk patients. MRI is becoming imperative in assisting breast surgeons in planning breast-conserving surgery for preoperative local staging and evaluation of neoadjuvant chemotherapy response. Other clinical applications for MRI breast include occult breast cancer detection, investigation of nipple discharge, and breast implant assessment. There is now an abundance of research publications on MRI Breast with several areas that still remain to be explored.

This review gives a comprehensive overview of the clinical trends of MRI breast with emphasis on imaging features and interpretation using conventional and advanced techniques. In addition, future research areas in MRI breast include developing techniques to make MRI more accessible and costeffective for screening. The abbreviated MRI breast procedure and an area of focused research in the enhancement of radiologists' work with artificial intelligence have high impact for the future in MRI Breast.

Keywords: Magnetic resonance imaging, breast, neoplasms, diffusion magnetic resonance imaging, diffusion tensor imaging, magnetic resonance spectroscopy.

Graphical Abstract
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