Abstract #4724

To Evaluate Values of Six Cancer-Related DWI Models in Predicting the Levels of HER-2 Expression in Invasive Ductal Carcinoma of the Breast

Cece Dong¹, Qian Xu¹, Haiyun Wang¹, Gaofeng Shi¹, Qinglei Shi², Xu Yan², and Guang Yang³

¹Department of CTMRI, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China, ²MR Scientific Marketing, Siemens Healthineers, Beijing, China, ³Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China

Synopsis

In this study, we evaluated and compared the values of quantitative parameters derived from the six DWI models in the diagnosis of HER-2 expression levels in patients with IDC of the breast, including conventional mono-exponential model, IVIM, DKI, SEM, FROC, and CTRW models. We found that the CTRW model showed higher sensitivity in the predicting HER-2 expression levels than the other models. Meanwhile, a logistic regression model was built by combining parameters of the advanced DWI models, which showed a high diagnostic performance and may potentially be used in clinical practice.

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