Abstract #2559

Breast cancer diagnosis and prognosis by using a high b-value continuous-time random-walk model

Hui Feng¹, Hui Liu¹, Qi Wang¹, Mengyu Song¹, Tianshu Yang², Liyun Zheng², Dongmei Wu³, Xian Shao⁴, and Gaofeng Shi¹

¹Department of Radiology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China, ²Shenzhen United Imaging Research Institute of Innovative Medical Equipment, Shenzhen, China, ³Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronics Science, East China Normal University, Shanghai, China, ⁴Department of Anesthesiology, The Fourth Hospital of Shijiazhuang, Shijiazhuang, China

Synopsis

Keywords: Breast, Diffusion/other diffusion imaging techniquesBreast cancer is a common cancer that severely threatens the health of women worldwide. The advanced diffusion model using high b-values enables a more comprehensive description of the tumor tissue by cellularity and heterogeneity. In current study, a continuous-time random-walk (CTRW) model was applied to identify malignancy of breast lesions and the association between model-derived parameters and immunohistochemical indices was evaluated. All model-derived parameters could identify tumor malignancy, combined parameter could further discriminate ER+/ER- and PR+/PR- patients, while temporal heterogeneity parameter was significantly correlated with PR expression. The CTRW model has demonstrated potential value in breast cancer diagnosis and prognosis.

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