A colorectal liver metastasis prediction model based on the combination of lipoprotein-associated phospholipase A2 and serum biomarker levels
The Random forest model, incorporating serum Lp-PLA2 level and conventional laboratory parameters, demonstrates robust predictive capability for CRLM and holds promise for enhancing early detection in CRLM patients.
Authors
- Xiaomin Xiao (ORCID: https://orcid.org/0000-0002-9327-4806)
- Baiyun Zhong
- Sisi Feng (ORCID: https://orcid.org/0000-0002-4472-1905)
- Manli Zhou
- Zixin Huang (ORCID: https://orcid.org/0000-0002-6529-8691)
Institutions
- Central South University (CN)
- Xiangya Hospital Central South University (CN)
Publication Details
- Journal
- Clinica Chimica Acta
- Published
- 2025-01-16
- DOI
- https://doi.org/10.1016/j.cca.2025.120143
- Citations
- 2
- Primary Topic
- Cancer, Lipids, and Metabolism
- Type
- article
- Field-Weighted Citation Impact
- 1.87
Funders
- Natural Science Foundation of Hunan Province
- Key Research and Development Program of Hunan Province of China