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Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
Recent advances in breast MRI and MRS.
1Department of Radiology, University of California-San Diego, San Diego, CA 92121-0852, USA. shsinha@ucsd.edu
NMR in Biomedicine
|July 26, 2008
Summary
Recent advances in breast MRI, including diffusion, perfusion, and spectroscopy, enhance breast cancer diagnosis and therapy monitoring. These multiparametric approaches improve specificity and utility in managing breast cancer.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Breast MRI is a crucial tool for breast cancer diagnosis.
- Ongoing research focuses on enhancing its diagnostic capabilities.
Purpose of the Study:
- To review recent advancements in breast MRI, MRS, and image post-processing.
- To highlight multiparametric approaches for improved breast cancer diagnosis and monitoring.
Main Methods:
- Review of studies utilizing diffusion-weighted MRI, MRS, perfusion imaging, and MR elastography.
- Analysis of image processing algorithms for breast MR, including registration, segmentation, and uptake modeling.
Main Results:
- Multiparametric MRI combining traditional and novel methods increases diagnostic specificity.
- Diffusion-weighted MRI and MRS show promise for lesion diagnosis and therapy response monitoring.
- Perfusion imaging and MR elastography offer potential for enhanced characterization.
Conclusions:
- Advancements in breast MRI, MRS, and automated image analysis significantly improve its utility.
- These technologies enhance breast cancer diagnosis, screening, management, and therapy monitoring.
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