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Updated: Jun 12, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
[Diffusion-weighted MR imaging of the breast].
C de Bazelaire1, A Pluvinage, M Chapelier
1Service de radiologie, Hôpital Saint-Louis, 1 avenue Claude Vellefaux, 75475 Paris cedex 10, France. cedric.de-bazelaire@sls.aphp.fr
Diffusion-weighted imaging (DWI) helps characterize indeterminate MRI lesions. Restricted diffusion on DWI, indicated by low ADC values, suggests suspicious, hypercellular lesions, while its absence suggests benign or responding tumors.
Area of Science:
- Radiology
- Medical Imaging
- Oncology
Context:
- Morphological and dynamic MRI evaluations can leave lesions indeterminate.
- Diffusion-weighted imaging (DWI) provides further characterization of these lesions.
- Apparent Diffusion Coefficient (ADC) maps aid in evaluating T2W hyperintense lesions.
Purpose:
- To elucidate the role of diffusion-weighted imaging (DWI) in characterizing indeterminate lesions found during MRI.
- To correlate diffusion characteristics (restricted diffusion, low ADC values) with lesion cellularity and malignancy.
- To assess the utility of ADC maps and image fusion in improving lesion localization and categorization.
Summary:
- Suspicious lesions exhibit hyperintensity on DWI with low ADC values, signifying restricted diffusion and high cellularity.
- Benign lesions and tumors responding to therapy typically do not show diffusion restriction.
- Image fusion may be necessary for precise localization of enhancing lesions on ADC maps.
- Indeterminate lesions with hypocellularity suggest lower ACR categories, while restricted diffusion indicates higher categories.
Impact:
- DWI and ADC mapping enhance diagnostic accuracy for indeterminate MRI-detected lesions.
- This technique aids in differentiating benign from potentially malignant or aggressive tumors.
- Improved lesion characterization can guide further management and treatment decisions, potentially impacting patient outcomes.
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