Meeting Banner
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


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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here