Tianjin Key Laboratory of Precise Vascular Reconstruction and Organ Function Repair

1 ARTICLES PUBLISHED IN JoVE

Medicine

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Jinyan Jia^*1,2,3, Zixuan Yu^*1,2,3,4, Maorun Zhang^1,2,3, Fang Hu⁴, 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.