What question did this study set out to answer?

The aim is to create and validate a predictive model for disease-free survival after radical resection in pancreatic ductal adenocarcinoma patients.

March 26, 2026BMC Medical ImagingOpen Access

A nomogram for predicting the disease-free survival of patients with pancreatic ductal adenocarcinoma

View Full Paper

Ask AI

Bookmark

Authors

Establishes a nomogram predicting disease-free survival in patients with pancreatic ductal adenocarcinoma, suggesting its clinical utility.

The aim is to create and validate a predictive model for disease-free survival after radical resection in pancreatic ductal adenocarcinoma patients.
Gathered clinical and preoperative imaging data from 258 patients with pancreatic ductal adenocarcinoma.
Divided patients into training (n=218) and validation (n=40) sets.
Analyzed survival outcomes with Kaplan–Meier survival analysis and log-rank test.
Developed a nomogram using univariate and multivariate Cox analyses and assessed its performance using C-index and calibration curves.
Used X-tile analysis to categorize patients into three risk groups.
Identified independent factors affecting disease-free survival: BMI, CA19-9 levels, N stage, and major vessel involvement.
The C-index of the model was 0.66 in the training set and 0.60 in the validation set, indicating moderate predictive accuracy.
Calibration curves showed good agreement, while decision curve analysis confirmed clinical utility.
Successfully classified patients into low, medium, and high-risk groups.

Pan et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark

Establishes a nomogram predicting disease-free survival in patients with pancreatic ductal adenocarcinoma, suggesting its clinical utility.