Histogram analysis of multiple mathematical diffusion-weighted imaging models for preoperative prediction of Ki-67 expression in hepatocellular carcinoma
Histogram parameters of multiple mathematical DWI models can be useful for predicting high Ki-67 expression in HCCs, and our combined model based on AFP level, skewness of f, and 5th percentile of DDC may be an effective approach for predicting Ki-67 expression in HCCs.
Authors
- Baoer Liu
- Zeyu Zheng
- Jing Zhang (ORCID: https://orcid.org/0000-0001-6595-7661)
- Hongxiang Li (ORCID: https://orcid.org/0000-0001-9825-054X)
- Yikai Xu (ORCID: https://orcid.org/0000-0003-1607-5077)
Institutions
- Nanfang Hospital (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-03-11
- DOI
- https://doi.org/10.3389/fonc.2025.1531236
- Citations
- 4
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 5.44
Funders
- National Natural Science Foundation of China