Mesentery morphological features on computed tomography for preoperative prediction of tumor invasion and lymph node metastasis in colon cancer.

Abstract

Background: Accurate identification of tumor invasion depth and lymph node (LN) involvement in patients with colon cancer (CC) is critical for guiding treatment strategies. However, the preoperative prediction of tumor invasion depth and LN metastasis in CC remains challenging. As the intestinal tumor develops, the fat density in the mesentery increases.

Aim: To investigate the efficacy of computed tomography (CT) value change in the mesentery contributed by the tumor (CT-T value) for predicting tumor invasion depth and LN metastasis.

Methods: Patients, who were diagnosed with CC and underwent surgery, were included and divided into the training and validation cohorts. CT-T values of the mesentery were extracted from the CT images. Cutoff points were determined using the receiver operating characteristic (ROC) curve, and the area under the ROC curve was employed to assess the performance of the CT-T value for tumor invasion depth and LN status prediction.

Results: Cutoff values of 11.83 and 17.17 were identified to discriminate T1/2 vs T3/4 and N0 vs N1/2, respectively. With a cutoff CT-T value of 11.83, the total diagnostic accuracy for T stage was 83.1% (81.5% for the training cohort and 86.2% for the validation cohort). With a cutoff CT-T value of 17.17, the total diagnostic accuracy for N stage was 77.3% (75.8% for the training cohort and 80.1% for the validation cohort), which was higher than that of CT-reported LN metastasis.

Conclusion: In this study, we explored an efficient method for predicting preoperative T and N stages using the tumor-contributed CT value of the mesentery in CC, which displayed superior predictive accuracy.