Radiomics analysis in predicting vascular invasion in gastric cancer based on enhanced CT: a preliminary study
The integrated models, incorporating enhanced CT radiomics features, Ki-67, and clinical factors, demonstrate significant predictive capability for VI. Moreover, the radiomics model has the potential to optimize personalized clinical treatment selection and patient prognosis assessment.
Authors
- Guangfeng Zhang (ORCID: https://orcid.org/0000-0002-9444-0669)
- Yi Liu (ORCID: https://orcid.org/0000-0002-9968-3934)
- Zhicheng Chen (ORCID: https://orcid.org/0000-0002-7702-5228)
- Kexin Zhu (ORCID: https://orcid.org/0000-0001-7173-6881)
Institutions
- Shandong University (CN)
- First Hospital of China Medical University (CN)
- Liaoning Cancer Hospital & Institute (CN)
- China Medical University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2024-08-16
- DOI
- https://doi.org/10.1186/s12885-024-12793-7
- Citations
- 4
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.62