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Dataset Information

Early postoperative recurrence prediction in pancreatic ductal adenocarcinoma: a nomogram based on dual-energy computed tomography and <sup>18</sup>F-fluorodeoxyglucose positron emission tomography-computed tomography.


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