Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning ModelJinyan Jia *1,2,3, Zixuan Yu *1,2,3,4, Maorun Zhang 1,2,3, Fang Hu 4, Gang Liu 1,2,3
1Department of General Surgery, Tianjin Medical University General Hospital, 2China Tianjin General Surgery Institute, 3Tianjin Key Laboratory of Precise Vascular Reconstruction and Organ Function Repair, 4Department of Nursing, Tianjin Medical University General Hospital
This study evaluates prognostic systems for colorectal signet-ring cell carcinoma patients using machine learning models and competing risk analyses. It identifies log odds of positive lymph nodes as a superior predictor compared to pN staging, demonstrating strong predictive performance and aiding clinical decision-making through robust survival prediction tools.
