A multicenter study developed a machine learning model to predict early recurrence in patients with perihilar cholangiocarcinoma (PCCA) after curative surgery. The model, leveraging five key factors, including carbohydrate antigen 19-9 and tumor size, achieved superior predictive performance, particularly with the random forest algorithm (AUC: 0.983) compared to others. High-risk patients showed significantly different recurrence-free survival compared to low-risk individuals (p < 0.001), facilitating informed treatment decisions for physicians.
Journal Article by Wang X, Liu L (…) Li AG et 14 al. in J Gastrointest Surg
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