Abstract #1477

Assessment of Breast Cancer Molecular Subtypes with a mMRI-based Feature Fusion Radiomics Model: Mimicking Radiologists’ Diagnostic Approach

Wanli Zhang^1,2, Fangrong Liang^1,2, Jiamin Li^1,2, Yongzhou Xu³, Aaron Zhang³, Xinqing Jiang^1,2, Xin Zhen⁴, and Ruimeng Yang^1,2

¹Department of Radiology, The Second Affifiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, China, ²Department of Radiology, Guangzhou First People’s Hospital, Guangzhou, China, ³Philips Healthcare, Guangzhou, China, ⁴School of Biomedical Engineering, Southern Medical University, Guangzhou, China

Synopsis

Keywords: Breast, Radiomics, breast cancer, molecular receptor status, feature fusionSince breast cancer is a highly heterogeneous tumor, prognosis and treatment response differ significantly according to different molecular subtypes. Based on multiparametric magnetic resonance imaging (MRI), we developed a feature fusion radiomics (R_FF) model and investigated its performance in identifying the molecular receptor status of breast cancer. Mimicking the diagnostic approach of the radiologists by integrating image information from different MR sequences, the R_FF model outperformed any single MRI-based radiomics model, demonstrating its potential for molecular subtypes classification of breast tumors.

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