A predictive model based on radiomics, clinical features, and pathologic indicators for disease-free survival after liver transplantation for hepatocellular carcinoma: a 7-year retrospective study
Based on radiomics, clinical features, and pathological indicators, the NM could be used to effectively predict DFS after LT in HCC patients, guiding the follow-up and complementary treatment.
Authors
- Junzhen Fan
- Qiaozhi Ma
- Hao Xie (ORCID: https://orcid.org/0009-0007-6266-2340)
- Hui Liu (ORCID: https://orcid.org/0009-0002-9521-6586)
- Ya Feng Yang (ORCID: https://orcid.org/0000-0003-0168-2974)
- Xuetao Mu (ORCID: https://orcid.org/0000-0002-7444-5948)
- H T Meng (ORCID: https://orcid.org/0000-0002-7740-5589)
- Shui Liu (ORCID: https://orcid.org/0000-0001-9944-4696)
- Siqing Dong
- Bin Shi (ORCID: https://orcid.org/0000-0001-5744-4014)
- Jeff Dai
- Ying Liu (ORCID: https://orcid.org/0000-0002-8859-9585)
Institutions
- Weifang Medical University (CN)
- Chinese PLA General Hospital (CN)
- Aerospace Center Hospital (CN)
- Jinzhou Medical University (CN)
Publication Details
- Journal
- Journal of Gastrointestinal Oncology
- Published
- 2024-10-01
- DOI
- https://doi.org/10.21037/jgo-24-347
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00