Early Warning of Axillary Lymph Node Metastasis in Breast Cancer Patients Using Multi-Omics Signature: A Machine Learning-Based Retrospective Study
The prediction models based on machine learning (ML) algorithms and multiomics have shown good performance in predicting ALN metastasis, and RFM shows greater advantages compared to traditional GLRM. The findings of this study can help clinicians identify patients with higher risk of ALN metastasis and provide personalized perioperative management to assist preoperative decision-making and improve patient prognosis.
Authors
- Leihua Shen
- Zirui Ke
- Jun Shao (ORCID: https://orcid.org/0009-0001-9704-7803)
Institutions
- Xian Central Hospital (CN)
- Hubei Cancer Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- International Journal of General Medicine
- Published
- 2024-12-01
- DOI
- https://doi.org/10.2147/ijgm.s499238
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.81