MRI-Based peritumoral radiomics for predicting recurrence risk in ER+/HER2- breast cancer

Key Points

• The study reveals that MRI-based peritumoral radiomics can effectively predict recurrence risk.
• Key evidence shows that the radiomics approach accurately identifies high-risk patients, enhancing management strategies.
• Analysis of clinical data using MRI and radiomic features provides insights into disease behavior and treatment outcomes.
• Implications suggest that incorporating radiomics may improve risk stratification in clinical settings with breast cancer patients.