Development and validation of a multimodality radiomics-based nomogram for predicting HER2 expression status in invasive breast cancer - Takeaways - MDSpire

Development and validation of a multimodality radiomics-based nomogram for predicting HER2 expression status in invasive breast cancer

  • By

  • Xianwei Yang

  • Xiaoling Liu

  • Shenghong Wan

  • Yilin Luo

  • Mengjun Shen

  • Xin Liao

  • July 14, 2026

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  • 1

    A nomogram integrating multimodal imaging and clinical features was developed for predicting HER2 expression in invasive breast cancer patients.

  • 2

    The study included 204 patients who underwent preoperative DCE-MRI and mammography, divided into training and test sets.

  • 3

    The combined radiomics model showed AUC values of 0.742 and 0.823 for HER2-positive versus HER2-zero and HER2-positive versus HER2-low, respectively.

  • 4

    The single DCE-MRI model performed best for differentiating HER2-low from HER2-zero, with an AUC of 0.831 in the training set.

  • 5

    The multimodal radiomics-based nomogram offers a non-invasive tool for preoperative evaluation of HER2 expression status in breast cancer.

Original Source(s)

Development and validation of a multimodality radiomics-based nomogram for predicting HER2 expression status in invasive breast cancer

  • by Xianwei Yang, Xiaoling Liu, Shenghong Wan, Yilin Luo, Mengjun Shen, Xin Liao

  • July 14, 2026

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