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Updated: Feb 9, 2026
15:48
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
23.2K
Can 3.0 Tesla diffusion tensor Imaging parameters be prognostic indicators in breast cancer?
Safiye Tokgoz Ozal1, Ercan Inci1, Aysegul Akdogan Gemici1
1Radiology Department, Medical Sciences University, Istanbul Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Bakirkoy, Istanbul, Turkey.
Clinical Imaging
|June 11, 2018
Summary
Diffusion tensor imaging (DTI) parameters correlate with key prognostic factors in invasive breast cancer. Lower mean diffusivity (MD) was linked to lymph node metastasis, lymphovascular invasion, and higher histologic grade.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Invasive breast cancer prognosis is determined by various factors.
- Diffusion tensor imaging (DTI) offers insights into tissue microstructure.
- Understanding DTI parameter correlations can improve prognostic assessments.
Purpose of the Study:
- To investigate the relationship between DTI parameters (FA, MD, RA, VR) and prognostic factors in invasive breast cancer.
- To determine if DTI metrics can serve as imaging biomarkers for breast cancer aggressiveness.
Main Methods:
- Retrospective analysis of 63 invasive breast cancer patients.
- Pre-operative diffusion-weighted MRI at 3.0 Tesla.
- Correlation analysis between DTI parameters and tumor size, grade, lymph node status, invasion, ER, PR, HER2, and Ki-67.
Main Results:
- Low MD values correlated with lymph node metastasis, lymphovascular invasion, and high histologic grade.
- Significant relationships were found between ER/PR and MD, HER2 and RA, Ki-67 and RA/VR, and lymphovascular invasion and FA.
Conclusions:
- DTI parameters are significantly correlated with established prognostic factors in invasive breast cancer.
- These findings suggest DTI's potential role in non-invasively assessing breast cancer aggressiveness.
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