What question did this study set out to answer?

To assess the ability of MRI to differentiate between tumor deposits and lymph node metastases in rectal cancer.

February 12, 2026Open Access

MRI-Based Differentiation of Tumor Deposits and Lymph Node Metastases in Rectal Cancer: A Systematic Review of Diagnostic Performance

Key Points

To assess the ability of MRI to differentiate between tumor deposits and lymph node metastases in rectal cancer.
Systematic review following PRISMA guidelines
Included studies used MRI with histopathology as a reference
Extracted performance metrics such as AUC, sensitivity, and specificity
Four studies included, with 344 patients analyzed
Morphology-based MRI showed moderate diagnostic accuracy (AUC 0.72–0.76)
DCE-MRI and radiomics models improved performance (AUC up to 0.86)
Combined multiparametric approaches achieved the highest accuracy for differentiation

Abstract

Background/Objectives: Preoperative discrimination between tumor deposits (TDs) and lymph node metastases (LNMs) in rectal cancer on MRI is clinically critical but remains challenging. Methods: A systematic review following PRISMA guidelines was conducted, including studies using MRI to differentiate TDs from LNMs with histopathology as reference. Performance metrics such as AUC, sensitivity, and specificity were extracted. Results: Four retrospective studies (n = 344 patients) were included. Morphology-based MRI showed moderate diagnostic accuracy (AUC 0.72–0.76), whereas DCE-MRI and radiomics models demonstrated improved performance (AUC up to 0.86). Combined multiparametric approaches integrating DWI, DCE, and radiomics yielded the highest discriminative values. Conclusions: MRI-based multiparametric models improve discrimination between TDs and LNMs in rectal cancer. Integration of functional and morphologic features may enhance staging precision and guide therapy planning.

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