Ke Nie1, Jeon-Hor Chen1,2, Daniel Chang1, Chieh-Chih Hsu2, Orhan Nalcioglu1, Min-Ying Lydia Su1
1Tu & Yuen Center for Functional Onco-Imaging, University of California, Irvine, Irvine, CA, United States; 2Department of Radiology, China Medical University, Taichung, Taiwan
Breast parenchymal pattern is a well-known risk factor. The commonly used term breast density only measures the amount of breast tissue, not the relative distribution between the fat and fibroglandular tissue. In this study, we developed quantitative parameters to characterize different parenchymal distribution patterns (intermingled vs. central types) based on the segmented dense tissue on 3D MRI. In a dataset of 230 cases, the area under the ROC curve could reach to 0.94 using combined parameters. These features can be further used to investigate the relationship between parenchymal pattern and the cancer risk.