MRI Deep Learning Plus Immunoscore Nomogram Predicts Distant Metastasis in Rectal Cancer

A nomogram integrating MRI-based deep learning score, immunoscore, and clinical factors achieved AUCs of 0.922 (training) and 0.914 (test) for predicting 5-year distant metastasis–free survival in 306 rectal cancer patients, enabling risk stratification.

• Retrospective, single-center study of 306 patients who underwent MRI and surgery; 31.7% developed distant metastasis or died over a median follow-up of 45.8 months.
• Lower immunoscore (CD3+/CD8+ T-cell infiltration) was strongly associated with higher distant metastasis risk (P < 0.001).
• The nomogram effectively stratified patients into high- and low-risk groups (log-rank P < 0.001).

Automated summary

RadPigeon summaries are original and for information only. They are not clinical advice.