Integration of machine learning into prognostic modeling for distal cholangiocarcinoma yielded a robust predictive model for disease-free survival after pancreaticoduodenectomy. Significant predictors of recurrence included lnr15, neural invasion, n stage, surgical radicality, and differentiation grade. The model demonstrated strong discriminatory capacity with internal and external validations showing high accuracy levels. This tool can enhance tailored treatments and follow-up, benefiting both patients and healthcare providers.
Journal Article by Perez M, Palnaes Hansen C (…) Ielpo B et 30 al. in Eur J Surg Oncol
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