A multifunctional MRI model based on IVIM and DKI predicts HIF-1α, Ki-67, and VEGF status in breast carcinoma
Our findings suggest that IVIM may be usefully combined with DKI to help predict the expression levels of Ki-67, HIF-1α, and VEGF in breast cancer, generating hypotheses for future research. Furthermore, the diagnostic efficiency of the parameters D* and f appears to be enhanced by employing more low b-values (<100-200 s/mm²). These results require confirmation in prospective, multi-center studies.
Authors
- Fan Zhao (ORCID: https://orcid.org/0000-0002-6633-4316)
- Xiuzheng Yue
- C. Li (ORCID: https://orcid.org/0009-0007-7339-8354)
- Laimin Zhu
- Zhengtong Wang
- Zhanguo Sun (ORCID: https://orcid.org/0000-0001-8040-8986)
- Ning Mao (ORCID: https://orcid.org/0000-0001-7097-5530)
- Weiwei Wang (ORCID: https://orcid.org/0000-0002-8993-8411)
- Yu Hao (ORCID: https://orcid.org/0000-0002-0515-4506)
- Yunxi Li (ORCID: https://orcid.org/0000-0002-8232-9170)
- Yueqin Chen (ORCID: https://orcid.org/0000-0003-0858-5720)
- Wenwen Zhao (ORCID: https://orcid.org/0000-0002-7438-6300)
Institutions
- Philips (Finland) (FI)
- Yuhuangding Hospital (CN)
- Philips (China) (CN)
- Affiliated Hospital of Jining Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-10-20
- DOI
- https://doi.org/10.3389/fonc.2025.1652932
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00