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Updated: Mar 21, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
Diffusion tensor imaging in the normal breast: influences of fibroglandular tissue composition and background
Michael Jonathan Plaza1, Elizabeth A Morris1, Sunitha B Thakur1
1Department of Radiology, Memorial Sloan Kettering Cancer Center, 300 East 66th Street, New York, NY 10065.
Objective:
To evaluate effects of fibroglandular tissue (FGT) composition and background parenchymal enhancement (BPE) on diffusion tensor imaging (DTI) parameters in normal breast tissue.
Methods:
DTI analysis was performed on 35 breasts with regions of interest drawn to include only normal tissue. Breasts were dichotomized by FGT composition and by BPE; DTI parameters were compared.
Results:
The λ1 principal diffusion coefficient was lower in breasts with moderate/marked BPE versus those with minimal/mild BPE (P=.039). All other parameters were unaffected.
Conclusion:
λ1 is sensitive to differences in BPE within normal breast tissue that should be taken into account in DTI evaluation.
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