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Dataset Information

A scoring model for preoperative differentiation of high-enhancement pancreatic ductal adenocarcinoma from mass-forming chronic pancreatitis.


ABSTRACT:

Background

The present study aimed to establish a scoring model for the differential diagnosis of high-enhancement pancreatic ductal adenocarcinoma (hPDAC) versus mass-forming chronic pancreatitis (MFCP).

Methods

A retrospective analysis was conducted on 81 patients: 40 with MFCP and 41 with hPDAC. Demographic and imaging characteristics were collected. Univariate, ridge regression and binary logistic regression analyses were performed to identify independent predictors and develop diagnostic models. The clinicoradiological model was subsequently converted into a weighted scoring model. Calibration tests, receiver operating characteristic (ROC) curves, area under the ROC curve (AUC), and cut-off points were assessed for both the clinicoradiological and scoring models.

Res

SUBMITTER: Zhou J 

PROVIDER: S-EPMC12275298 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature