Machine learning-based prognostic model for local control prediction in lung cancer patients undergoing stereotactic body radiation therapy: a preliminary study

Key Points

• This study aims to develop a prognostic model using machine learning to predict local control in lung cancer patients receiving stereotactic body radiation therapy.
• Developed a machine learning model for predicting outcomes.
• Focused on internal validation of the model.
• Emphasized the need for external validation in independent cohorts.
• Machine learning shows potential in predicting local control for lung cancer post-SBRT.
• Findings are preliminary and need further validation before clinical use.