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| Association between DCE-MRI Features and Molecular Subtypes in Breast Cancer |
| Wang Shijian1 Fan Ming1 Zhang Juan2 Shao Guoliang2 Wang Xiaojia3 Li Lihua1* |
1 College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
2Department of Radiology, Zhejiang Cancer Hospital, Hangzhou 310010, China 3 Department of Medical OncologyBreast, Zhejiang Cancer Hospital, Hangzhou 310010, China |
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Abstract In this work, we investigated the correlation between DCE-MRI features and molecular subtypes in breast cancer. Sixty cases of malignant breast cancer patients with DCE-MRI examination before chemotherapy were retrospectively analyzed. The molecular subtype was confirmed according to the immunohistochemistry results. Firstly, 65-dimensional imaging features including statistical characteristics, morphology, textural and dynamic enhancement were extracted from DCE-MRI with computer semi-automatic methods. Then, the correlations of imaging features and molecular subtype were assessed using statistical analyses, including univariate logistic regression and multivariate logistic regression. At the same time, a multiple regression model was established based on above results. Finally, the distribution of significant image features was analyzed. The results of experiments showed that statistical characteristics of lesions were significantly correlated with luminal A, dynamic enhancement of lesions and background were significantly related to luminal B, HER2 and basal like subtype, in which P values were all lower than 0.05 using univariate logistic regression-adjusted method. Multi-variable logistic regression analysis showed that imaging features were significantly associated with molecular subtypes with P value equaled to 0.004 73 for luminal A, 0.002 77 for HER2 and 0.011 7 for basal like. The results suggested DCE-MR imaging features as important candidate marker to divide breast cancer into molecular subtypes.
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Received: 08 October 2015
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