Prediction of HER2 expression in breast cancer patients based on multi-parametric MRI intratumoral and peritumoral radiomics features combined with clinical and imaging indicators
The combined model based on DCE+T2FS+ADC intratumoral and peritumoral radiomics integrating with clinical imaging features can better predict the HER2 expression status of breast cancer.
Authors
- Xingyue Jiang
- Junfang Fang
- Fuqian Wang (ORCID: https://orcid.org/0000-0002-3349-3281)
- Xiaoxiao Li (ORCID: https://orcid.org/0000-0001-7001-3227)
- Lin Zhang (ORCID: https://orcid.org/0000-0002-2064-8440)
- Xijin Mao
Institutions
- Binzhou Medical University (CN)
- Shandong University of Aeronautics (CN)
- Shandong University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-06-09
- DOI
- https://doi.org/10.3389/fonc.2025.1531553
- Citations
- 3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 4.08