Examine how body composition radiomics from preoperative CT and machine learning are applied across multiple centers to predict early recurrence risk in colorectal cancer.
Key Takeaways
- This system primarily focuses on localized anatomical features
- Patients with identical pTNM stages often exhibit substantial heterogeneity in survival outcomes ( 4 )
- Tumor recurrence is not merely a localized pathological event