Digital breast tomosynthesis-based radiomics for prediction of prognosis in breast cancer: a multicenter study

Key Points

• Short-term DFS prediction improves, indicating enhanced efficacy in prognosis evaluation.
• The model's performance is superior when integrating imaging biomarkers identified through SHAP analysis.
• Assessment across multiple centers highlights the broader applicability of these radiomic analyses.
• Emphasizing the integration of digital breast tomosynthesis allows for more accurate prognostic predictions.

Abstract