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Abstract #1113

Diagnosis of Breast Cancer Using Radiomics Models Built Based on DCE-MRI and Mammography Compared to BI-RADS Reading

Zhongwei Chen1, Yang Zhang2, Jiejie Zhou1, Youfan Zhao1, Haiwei Miao1, Huiru Liu1, Shuxin Ye1, Nina Xu1, Meihao Wang1, and Min-Ying Su2
1Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, wenzhou, China, 2Department of Radiological Sciences, University of California, Irvine, CA, United States

A total of 200 patients receiving both DCE-MRI and mammography were analyzed, including 146 malignant and 56 benign lesions. For each lesion, 3D tumor mask was done using fuzzy-C-means clustering algorithm. Three DCE parametric maps were generated, and the radiomics features were extracted from these maps by PyRadiomics. Five models were built based on DCE-MRI, mammography, and the combination. The BI-RADS score was obtained from the radiology reports for comparison. The model built based on all MRI and mammography features yielded the highest accuracy of 89.6%, and had significantly better diagnostic performance than BI-RADS using threshold of 4A or 4B.

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