Abstract #2229

Quantitative Analysis of Breast Parenchymal Patterns Using 3D Fibroglandular Tissues Segmented Based on Breast MRI

Ke Nie¹, Jeon-Hor Chen^1,2, Chieh-Chih Hsu², Hoanglong Nguyen¹, Muqing Lin¹, Tzu-Ching Shih^1,2, Dustin Newell¹, Byron Feig¹, Orhan Nalcioglu¹, Min-Ying Lydia Su¹

¹Tu & Yuen Center for Functional Onco-Imaging, University of California, Irvine, CA, USA; ²Department of Radiology, China Medical University, Taiwan

A quantitative method was applied to analyze the morphology of the fibroglandular parenchymal pattern in the breast. Two different patterns: mixed fibroglandular and fatty tissue (N=86) vs. central fibroglandular tissue surrounded by fat (N=60) were separated. The percent density was comparable between the 2 groups, but 5 morphology features show significant differences. While the percent density showed a clear age-dependence, it was not race-dependent. On the other hand, the morphology parameters showed race-dependence, but not age-dependence. The White and Hispanic women were more likely to present mixed patterns, and the Asian women were more likely to present the central pattern.