Abstract #2560

Prediction of the Prognostic Factors of Breast Cancer Using MRI with a Continuous-Time Random-Walk Diffusion Model

Huan Chang¹, Dawei Wang², Yuting Li³, Shaoxin Xiang⁴, Ke Xue⁴, Peng Kong⁵, and Qingshi Zeng²

¹Department of Radiology, Shandong Provincial Qianfoshan Hospital, Shandong University, Jinan, China, ²Department of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China, ³Department of Radiology, The First College of Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, China, ⁴MR Collaboration, Central Research Institute, United Imaging Healthcare, Shanghai, China, ⁵Department of Breast Surgery, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China

Synopsis

Keywords: Breast, Diffusion/other diffusion imaging techniquesBreast cancer is a heterogeneous tumor, and its treatment is customized determined by the pathologic and tumor molecular features. This study used a continuous-time random-walk (CTRW) diffusion model to characterize prognostic factors status of breast lesions. The parameter β showed significantly differences in ER and PR status and showed significant correlation with ER and PR expression, and the combination of Dm, α, and β produced the best performance in identifying ER and PR status. Our study demonstrated that the CTRW parameters as potential biomarkers were superior to conventional ADC in predicting prognostic factors of breast cancer.

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