Research
Machine learning-based prediction of overall survival after lung SBRT using clinical, dosimetric, and radiomics features: a multicenter study
Nature ·
The Brief
- A multicenter study describes machine learning models that predict overall survival after lung stereotactic body radiotherapy (SBRT).
- The models use clinical, dosimetric, and radiomics features.
- The source provided no summary, so further results are not available from the sources.
Why it matters
Survival prediction after lung SBRT could help radiation oncologists compare patient risk using clinical, dose and imaging data, though the sources give no performance figures.
Who’s affected
- radiation oncologists and oncology researchers
- clinicians treating early-stage lung cancer
- #machine learning
- #radiomics
- #lung cancer
- #stereotactic radiotherapy
- #survival prediction