Abstract #2558

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

Synopsis

Keywords: Breast, Diffusion/other diffusion imaging techniquesAccurately differentiating breast cancer is crucial for clinical treatment. However, it is challenging due to the high heterogeneity of breast cancer. This study used a continuous-time random-walk (CTRW) diffusion model to characterize breast lesions and their molecular subtypes. The malignant lesions had significantly lower ADC, Dm, and α values than benign lesions. Significant differences were also found between luminal A and triple-negative groups in parameter β. And the combination of CTRW parameters yielded better performance in classifying breast cancer than ADC. Therefore, this study highlights that the CTRW parameters are superior to ADC in distinguishing breast lesions and molecular subtypes.

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