Differentiating pancreatic from periampullary non-pancreatic cancer: a nomogram-based prediction model utilizing CT imaging.

ABSTRACT:

Background

To develop a predictive nomogram for differentiating pancreatic cancer from periampullary non-pancreatic cancers based on computed tomography (CT) imaging features.

Methods

This retrospective study included 171 patients diagnosed with periampullary carcinoma (90 pancreatic cancer and 81 non-pancreatic cancer). Variables assessed included CT imaging features along with relevant clinical data. Statistically significant variables were identified through multivariable logistic regression analysis, and a predictive nomogram was developed and internally validated based on these factors.

Results

Multivariable analysis identified the following independent risk factors: the distance from the distal end of the dilated pancreatic duct to the medial wall of the papilla

SUBMITTER: Zhang X 

PROVIDER: S-EPMC12482259 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature