CT-based radiomics nomogram to predict proliferative hepatocellular carcinoma and explore the tumor microenvironment
The CT-based radiomics nomogram could predict proliferative HCC, stratify clinical outcomes, and measure a pro-tumor microenvironment.
Authors
- Zhuoshuai Liang (ORCID: https://orcid.org/0000-0001-9370-8056)
- Gongzheng Wang
- Kaige Chen (ORCID: https://orcid.org/0009-0002-0056-8918)
- Pengxi Han
- Chencui Huang (ORCID: https://orcid.org/0000-0003-3307-6872)
- Qiang Zhu (ORCID: https://orcid.org/0000-0002-5843-9724)
- Feng‐Yun Cui (ORCID: https://orcid.org/0000-0001-6740-2520)
- Xingzhi Chen (ORCID: https://orcid.org/0000-0003-3233-9503)
- Linxiang Wang (ORCID: https://orcid.org/0000-0002-7716-3794)
- Xinya Zhao (ORCID: https://orcid.org/0000-0001-5856-347X)
- Hongxia Cheng
- Ximing Wang
- Feier Ding
Institutions
- Shandong University (CN)
- Jilin University (CN)
- Shandong Provincial Hospital (CN)
- Center for High Pressure Science & Technology Advanced Research (CN)
- Shandong Provincial QianFoShan Hospital (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- Journal of Translational Medicine
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1186/s12967-024-05393-3
- Citations
- 22
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 8.13
Funders
- National Natural Science Foundation of China
- Taishan Scholar Foundation of Shandong Province