Development of a prediction model for HER2 low breast cancer using quantitative intra- and peri-tumoral heterogeneity and MRI features on high-spatial resolution ultrafast DCE-MRI
Integrating ITH from high-spatial resolution UF DCE-MRI-based kinetic curves improved the non-invasive differentiation of HER2-low breast cancer. This approach may guide targeted biopsy strategies and aid in selecting candidates for anti-HER2 ADC therapy, optimizing HER2-targeted precision medicine.
Authors
- Shixuan Zhao (ORCID: https://orcid.org/0000-0001-7387-2799)
- Hongbing Luo (ORCID: https://orcid.org/0000-0002-4061-0669)
- Peng Zhou (ORCID: https://orcid.org/0000-0002-1744-5167)
- Zhe Chen (ORCID: https://orcid.org/0000-0003-2611-9635)
- Yongjie Li (ORCID: https://orcid.org/0000-0002-7395-3131)
- Jing Ren (ORCID: https://orcid.org/0009-0000-5330-5383)
- Juan Ji (ORCID: https://orcid.org/0000-0002-4473-8045)
Institutions
- University of Electronic Science and Technology of China (CN)
- Sichuan Cancer Hospital (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-08-21
- DOI
- https://doi.org/10.21037/qims-24-976
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00