ArticleScientific reports2017
Differentiation of Pancreatic Cyst Types by Analysis of Rheological Behavior of Pancreatic Cyst Fluid.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Translation of a Protease Turnover Assay for Clinical Discrimination of Mucinous Pancreatic Cysts.Diagnostics (Basel, Switzerland) · 2022Article
- Pancreatic cyst dilemma: Between physical and biochemical markers.World journal of gastroenterology · 2021Article
- Diagnosis and management of pancreatic cystic neoplasms: current evidence and guidelines.Nature reviews. Gastroenterology & hepatology · 2019Review
- Early Detection of Pancreatic Cancer: Opportunities and Challenges.Gastroenterology · 2019Review
- String sign: Can we make it more scientific?Endoscopic ultrasoundArticle
- An international study of interobserver variability of "string sign" of pancreatic cysts among experienced endosonographers.Endoscopic ultrasoundArticle
- Application of EUS-based techniques in the evaluation of pancreatic cystic neoplasms.Endoscopic ultrasoundReview
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Differentiation between mucinous and non-mucinous pancreatic cysts is exceedingly important and challenging, particularly as the former bears malignant transformation potential. Pancreatic cyst fluid (PCF)-based diagnostics, including analyses of biochemical markers, as well as cytology, has shown inadequate accuracy. Herein, a preliminary single-center study of 22 PCF samples, collected by endoscopic ultrasound-guided fine needle aspiration (EUS-FNA), assessed the rheological behavior of PCF and its correlation with lesion type. The dependence of PCF shear viscosity on shear rate was found to follow a power law and could be fitted using Ostwald-de Waele model. Three types of flow curves were identified, where two types correlated with non-mucinous cysts, differing by their power law exponent, and the third type corresponding to mucinous cysts. Viscosity measured at a high shear rate was shown to serve as an accurate and independent marker distinguishing between mucinous and non-mucinous cysts, with an optimal cutoff value of η
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