Support vector machine‐based MRI radiomics predict response to neoadjuvant therapy and progression‐free‐survival of Colorectal Liver Metastases patients

Key Points

• The aim is to evaluate how well MRI-based radiomics can predict treatment response and progression-free survival in patients with colorectal liver metastases.
• Developed radiomics models using baseline and delta MRI scans.
• Used support vector machine algorithms for analysis.
• Compared predictive accuracy of delta versus baseline models.
• Delta MRI models demonstrated superior accuracy for predicting progression-free survival.
• Overall, radiomics models effectively predicted treatment response and postoperative outcomes in patients.