Bi‐Regional Machine Learning Radiomics Based on <scp>CT</scp> Noninvasively Predicts <scp>LOX</scp> Expression Level and Overall Survival in Hepatocellular Carcinoma
LOX expression can influence the prognosis of patients with HCC, which can be predicted noninvasively by CT image-based radiomics.
Authors
- Kexin Gao
- Hongcheng Wang (ORCID: https://orcid.org/0000-0003-3544-2039)
- Ting Xu (ORCID: https://orcid.org/0000-0003-1764-9036)
- Yiwei Wang (ORCID: https://orcid.org/0000-0002-5745-9125)
- Guanggai Xia
- Musa Yaermaimaiti
Institutions
- Shanghai Jiao Tong University (CN)
- Shanghai Sixth People's Hospital (CN)
- Shenzhen Children's Hospital (CN)
- Kashi University (CN)
Publication Details
- Journal
- Cancer Medicine
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1002/cam4.71154
- Citations
- 2
- Primary Topic
- Microbial metabolism and enzyme function
- Type
- article
- Field-Weighted Citation Impact
- 1.61
Funders
- Science and Technology Commission of Shanghai Municipality