Ontology highlight
ABSTRACT: Background
Given the poor prognosis of patients with pancreatic ductal adenocarcinoma (PDAC), the accurate stratification of patients at high risk for early recurrence (ER) is an urgent need. Conventional predictors such as carbohydrate antigen 19-9 (CA19-9) and tumor diameter have suboptimal efficacy. Quantitative parameters derived from dual-energy computed tomography (DECT) and the 18F-fluorodeoxyglucose positron emission tomography-computed tomography (18F-FDG-PET/CT) serve as validated imaging biomarkers for aggressive tumor biology. This study aimed to develop an integrative nomogram that combines these imaging markers with clinicopathological factors to preoperatively predict ER in resectable PDAC.Methods
In this single-center retrospective stud
SUBMITTER: Zhang Z
PROVIDER: S-EPMC12780579 | biostudies-literature | 2026 Jan
REPOSITORIES: biostudies-literature