Keywords: IVIM, Diffusion/other diffusion imaging techniques, IVIM，MRI, breast tumor, the HER2 factor, habitats
Motivation: Besides immunohistochemistry, a non-invasive method based on tumor habitats is worth exploring. It predicted the expression of HER2 factor in malignant breast cancer.
Goal(s): We determined whether a prediction model, which was based on tumors habitats, could be used to predict the expression of HER2 factor.
Approach: A predictive model based on tumors habitats was developed and used to diagnose HER2 status. The IVIM-based imaging technique could extract features.
Results: The model of tumor habitats predicted the expression of HER2 factor in breast cancer by using the following parameters: AUC of 0.902, sensitivity of 0.709, and specificity of 0.909.
Impact: In this experiment, a predictive model based on features of habitats could determine the expression of HER2 factor in patients with malignant breast cancer. Thus, this non-invasive approach is a better treatment option in clinical practice.
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