Leveraging SEER data through machine learning to predict distant lymph node metastasis and prognosticate outcomes in hepatocellular carcinoma patients
Our study identified key predictive factors for DLNM and elucidated significant prognostic indicators for HCC patients with DLNM. These findings provide clinicians with valuable tools to accurately identify high-risk individuals for DLNM and conduct more precise risk stratification for this patient subgroup, potentially improving management strategies and patient outcomes.
Authors
- Yahui Liu (ORCID: https://orcid.org/0000-0002-5431-1440)
- Lei Huang (ORCID: https://orcid.org/0000-0002-5899-4429)
- Jiaxuan Sun (ORCID: https://orcid.org/0009-0001-2169-123X)
Institutions
- Jilin University (CN)
- First Hospital of Jilin University (CN)
Publication Details
- Journal
- The Journal of Gene Medicine
- Published
- 2024-08-26
- DOI
- https://doi.org/10.1002/jgm.3732
- Citations
- 4
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 1.48
Funders
- National Key Research and Development Program of China