What type of study is this?

September 17, 2025

Discriminating tumor deposits and metastatic lymph nodes in rectal cancer with contrast-enhanced magnetic resonance imaging

Key Points

DCE-MRI parameters effectively differentiate tumor deposits from metastatic lymph nodes in rectal cancer.
The parameter ve showed the highest area under the curve (AUC) at 0.772 in differentiating lesions.
A combined model utilizing multiple imaging features improved diagnostic accuracy to an AUC of 0.833.
Morphological features and DCE-MRI parameters aid in preoperative differentiation in rectal cancer management.

Abstract

Motivation: Rectal cancer survival is impacted by local recurrence and metastasis. Risk factors included tumor deposits (TDs) and metastatic lymph nodes (MLNs). Goal(s): To investigate the value of DCE-MRI parameters in distinguishing (TDs) from (MLNs) in rectal cancer, and to compare their effectiveness with T2WI and DWI. Approach: In a retrospective analysis of 70 rectal cancer patients, 168 lesions were evaluated using DCE-MRI and DWI, focusing on parameters like Ktrans, kep, and ve. Results: Significant differences between TDs and MLNs were found, with ve showing the highest AUC (0.772). A combined model improved diagnostic accuracy to an AUC of 0.833. Impact: A combination of morphological features, DCE-MRI parameters, and ADC values can assist in preoperative differentiation between TDs and MLNs in rectal cancer.

AI에게 질문

Bookmark