Keywords: Breast, Diffusion/other diffusion imaging techniques, time-dependent diffusion weighted imaging
Motivation: Recent advances in time-dependent diffusion MRI (td-dMRI) for microstructural modeling provide the opportunity to characterize cancer pathology in vivo.
Goal(s): This study aims to evaluate the accuracy of td-dMRI–based microstructural mapping for noninvasively characterizing of breast tumors, and further to evaluated whether the tumor microstructural properties could be used to distinguish prognostic factors in breast cancer.
Approach: All patients underwent T1-weighted imaging, T2-weighted imaging, diffusion weighted imaging, td-dMRI, and dynamic contrast enhancement scans on a 3T scanner.
Results: Results showed that td-MRI parameters showed significant differences between benign and malignant breast tumors, and can also be used for prediction of prognostic factors in breast cancer.
Impact: The cellular microstructural mapping by time-dependent diffusion MRI show great potential for noninvasive evaluation of pathologic characteristics in breast cancer in a clinical setting.
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