ArticleLa Radiologia medica2024
Dual-energy CT improves differentiation of non-hypervascular pancreatic neuroendocrine neoplasms from CA 19-9-negative pancreatic ductal adenocarcinomas.
Article in La Radiologia medica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 9 citations in OpenAlex.
- Quantitative dual-layer spectral CT parameters associated with a continuous improvement response pattern to CAPTEM in advanced gastroenteropancreatic neuroendocrine neoplasms.Abdominal radiology (New York) · 2026Article
- Tumour mutation burden drives survival outcomes in pancreatic ductal adenocarcinoma and enables noninvasive prediction via dual-layer spectral CT.Insights into imaging · 2026Article
- Dual-layer spectral detector CT: a non-invasive tool for simultaneously predicting Ki-67 proliferation status and p53 mutations in pancreatic ductal adenocarcinoma.Abdominal radiology (New York) · 2026Article
- Differentiation of non-hypervascular non-functional pancreatic neuroendocrine neoplasms from solid pseudopapillary neoplasms using dual-layer spectral detector CT.BMC medical imaging · 2025Article
- Dual-energy CT in musculoskeletal imaging: technical considerations and clinical applications.La Radiologia medica · 2024Review
- Scientific Status Quo of Small Renal Lesions: Diagnostic Assessment and Radiomics.Journal of clinical medicine · 2024Review
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
purposeTo evaluate the utility of dual-energy CT (DECT) in differentiating non-hypervascular pancreatic neuroendocrine neoplasms (PNENs) from pancreatic ductal adenocarcinomas (PDACs) with negative carbohydrate antigen 19-9 (CA 19-9).
methodsThis retrospective study included 26 and 39 patients with pathologically confirmed non-hypervascular PNENs and CA 19-9-negative PDACs, respectively, who underwent contrast-enhanced DECT before treatment between June 2019 and December 2021. The clinical, conventional CT qualitative, conventional CT quantitative, and DECT quantitative parameters of the two groups were compared using univariate analysis and selected by least absolute shrinkage and selection operator regression (LASSO) analysis. Multivariate logistic regression analyses were performed to build qualitative, conventional CT quantitative, DECT quantitative, and comprehensive models. The areas under the receiver operating characteristic curve (AUCs) of the models were compared using DeLong's test.
resultsThe AUCs of the DECT quantitative (based on normalized iodine concentrations [nICs] in the arterial and portal venous phases: 0.918; 95% confidence interval [CI] 0.852-0.985) and comprehensive (based on tumour location and nICs in the arterial and portal venous phases: 0.966; 95% CI 0.889-0.995) models were higher than those of the qualitative (based on tumour location: 0.782; 95% CI 0.665-0.899) and conventional CT quantitative (based on normalized conventional CT attenuation in the arterial phase: 0.665; 95% CI 0.533-0.797; all P < 0.05) models. The DECT quantitative and comprehensive models had comparable performances (P = 0.076).
conclusionsHigher nICs in the arterial and portal venous phases were associated with higher blood supply improving the identification of non-hypervascular PNENs.
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