Related Experiment Video
Updated: Jun 17, 2026
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025
An evaluation of the relationship between lymph node number and staging in pT3 colon cancer using population-based
Nancy N Baxter1, Rocco Ricciardi, Marko Simunovic
1Department of Surgery and Keenan Research Centre in the Li Ka Shing Knowledge Institute of St. Michael's Hospital, University of Toronto, Ontario, Canada. baxtern@smh.toronto.on.ca
Purpose:
The number of lymph nodes examined has been proposed as a quality benchmark for colon cancer surgery, although it is unknown whether this strategy reduces understaging.
Methods:
We identified 11,044 patients who underwent surgery for colon cancer with pT3 wall penetration between 1988 and 2003 from the Surveillance, Epidemiology and End Results cancer registry. We determined the proportion of patients who were node positive for each node count. We used logistic regression to predict the odds of being node positive by node count after adjusting for confounders. We used joinpoint analysis to determine whether there was a consistent relationship between node count and the odds of being node positive.
Results:
The proportion of patients found to be node positive increased with node count at low counts (
Conclusions:
Staging of pT3 colon cancer improves with increasing node count, but only when the node count is low (<5-7 nodes). At higher counts, an increased node count has marginal effects on staging.
