The Correlation Analysis between Breast Density and Cancer Risk Factor in Breast MRI Images

Breast cancer is one of the most common malignancy in women. Recently, the development in medical imaging technology increases the diagnosis effectiveness in predicting breast tumor in the early stage. The trend in breast cancer diagnose is to predict what kind of breast cancer could be happened instead of detecting the disease. In this paper, a breast magnetic resonance imaging is applied to compute breast density. The breast density value is used to find the correlation with the cancer risk factors such as the age, the cancer type, the tumor location, the tumor size and the cancer tumor grading. The statistics tools one-way single factor ANOVA, F-test and descriptive statistics is used to analyze the correlation. Our study found that breast density with the degree of differentiation of tumor cells in infiltrating ductal carcinoma has a significant relevance (P<0.05). Because of the result is beyond our expectation, we implied the result may be caused because of the lack of a large enough amount of testing samples. We hope that we can extend the result of this study to find out the correlation pattern to accurate assessment the risk coefficient of breast cancer by calculating breast density, and providing physicians to prognostic assessment.