Occult pancreatic ductal adenocarcinoma in patients undergoing invasive evaluation for chronic pancreatitis: A retrospective study

Figure 1 Flow diagram of patient selection and study cohort classification. CP: Chronic pancreatitis; PDAC: Pancreatic ductal adenocarcinoma.

Figure 2 Least absolute shrinkage and selection operator regression analysis for variable selection. A: Least absolute shrinkage and selection operator coefficient profiles of candidate variables plotted against log(λ); B: Ten-fold cross-validation plot for selection of the optimal regularization parameter (λ). The vertical dashed lines indicate λ_min and λ_1se, corresponding to the minimum cross-validation error and the value within one standard error of the minimum, respectively. LASSO: Least absolute shrinkage and selection operator.

Figure 3 Forest plot of multivariate logistic regression analysis for early detection of pancreatic cancer ductal adenocarcinoma in patients with chronic pancreatitis. BUN: Blood urea nitrogen; CA19-9: Carbohydrate antigen 19-9; CEA: Carcinoembryonic antigen; 95%CI: 95% confidence interval; OR: Odds ratio.