ArticleWorld journal of gastrointestinal endoscopy2025
Endoscopic ultrasound features of pancreatic solid lesions: Descriptive and predictive analysis on a multicenter sample.
Article in World journal of gastrointestinal endoscopy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Explainable Machine Learning for Detecting Pancreatic Cancer from Structured Endoscopic Ultrasound Data: A Retrospective Multicenter Observational Study.Journal of clinical medicine · 2026Article
- Evaluation of Pancreatic Lesions: Comparative Analysis of Endoscopic Ultrasonography, Computed Tomography, and Magnetic Resonance Imaging.Medicina (Kaunas, Lithuania) · 2026Article
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12 authors.
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Abstract
backgroundEndoscopic ultrasound (EUS) is crucial for diagnosing solid pancreatic lesions, especially pancreatic ductal adenocarcinoma (PDAC), a highly aggressive cancer which represents the majority with a prevalence of approximately 85%.
aimTo identify EUS features that differentiate PDAC from other lesions such as neuroendocrine tumors (NETs) and helping in the differential diagnosis, by analyzing a large sample of solid pancreatic lesions.
methodsThis observational, retrospective, multicenter study analyzed the endosonographic characteristics of 761 patients with a radiological diagnosis of solid pancreatic lesion, who underwent pancreatic EUS for typing and staging with needle biopsies between 2015 and 2023. General patient characteristics (age and sex) and solid lesion features were collected and described, such lesion size (B-mode), vessel involvement (compression or invasion), ductal dilation, lymphadenopathy, echogenicity, echopattern, margin regularity, multifocality, internal vascularization and elastography. Subsequently, a predictive analysis was performed through univariate and multivariate logistic regression to identify predictive features for PDAC or NET diagnoses.
resultsOur study enrolled 761 patients, predominantly male with a mean age of 68.6. PDACs were generally larger (mean 33 mm × 27 mm), often had irregular margins, and displayed significant upstream ductal dilation. Hypoechogenicity was common across malignant lesions. In contrast, NETs were smaller (mean 20 mm × 17 mm) and typically had regular margins with multiple lesions. Vascular involvement, although predominant in PDAC, is a common feature of all malignant neoplasms. Multifocality, however, although a rare finding, is more typical of NETs and metastases, and practically absent in the remaining lesions. Predictive analyses showed that ductal dilation and irregular margins were the most significant predictors for PDAC [odds ratio (OR) = 5.75 and 3.83], with hypoechogenicity, heterogeneous echopattern and lymphadenopathies also highly significant (OR = 3.51, 2.56 and 1.99). These features were inversely associated with NETs, with regular margins and absence of ductal involvement or lymphadenopathies (OR = 0.24, 0.86 and 0.45 respectively), as already shown by the descriptive analysis. Finally, age, despite achieving statistical significance, lacks clinical value given an OR trending towards 1.
conclusionThis study provides a comprehensive overview of EUS features for solid pancreatic lesions, identifying distinct features like upstream ductal dilation and irregular margins for PDAC
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