ArticleEJNMMI research2026
Predicting overall survival in pancreatic ductal adenocarcinoma using
Article in EJNMMI research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundAccurate prognostic prediction in pancreatic cancer is of paramount clinical importance for patient management. However, a reliable and non-invasive method for preoperatively predicting overall survival (OS) remains a significant unmet need. We aim to evaluate the utility of pre-operative 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/ computed tomography (CT)-derived signatures in predicting OS in patients with pancreatic ductal adenocarcinoma (PDAC).
resultsThis study included 109 patients (70 males, 39 females). Over a median follow-up period of 28 months (range, 1-64 months), 68 patients (62.4%) died (median OS, 15 months). As stated above, a series of models was established using selected radiomics features and clinical factors. In the test set, the C-index of the clinical, CT-based, PET-based, PET/CT-based, and integrated model were 0.586, 0.724, 0.730, 0.730, and 0.743, respectively. The PET-based model (P = 0.027) significantly outperformed the clinical model, unlike the CT-based model (P = 0.057); further feature integration did not improve performance.
conclusionIn this study, 18F-FDG PET/CT radiomics features showed promise in predicting OS in patients with PDAC, suggesting potential as a tool for personalized management and warranting large-scale studies to confirm its applicability in clinical practice.
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