Background And Aim: To improve diagnostic yield of endoscopic ultrasound-guided fine needle aspiration (EUS-FNA) in solid pancreatic lesions, on-site cytology review has been recommended. Because this is not widely available throughout the world, the aim of this study was to compare the diagnostic yield of EUS-FNA performed with rapid on-site evaluation (ROSE) versus 7 FNA passes without ROSE in pancreatic masses.
Methods: In this multicenter randomized noninferiority trial, patients were randomized to ROSE versus 7 passes into a solid pancreatic mass. On the basis of the absolute difference in diagnostic yield with 7 passes versus cytopathologist-guidance, the noninferiority margin for the difference in diagnostic yield was defined as -15%. Definite diagnosis was defined to include positive for malignancy, neoplastic cells present, and negative for malignancy.
Results: A total of 142 patients were randomized with 73 in the cytopathologist arm and 69 in the 7 passes arm. Diagnostic yield for definite diagnosis was 78.3% with 7 passes and 78.1% with cytopathology guidance. With an absolute difference 0.2%, 95% CI -14.4 to 14.6, performing 7 passes was noninferior to cytopathologist-guided EUS-FNA. There was no significant difference in complications or time to perform FNA. A median of 5 passes were performed with ROSE. The median charge with onsite cytopathology was significantly greater than performing 7 passes [$1058 (958, 1445) versus $375 (275, 460), p<0.001].
Conclusions: The diagnostic yield for performing 7 passes during EUS-FNA into solid pancreatic masses is noninferior with lower charge compared to cytopathologist-guidance. This article is protected by copyright. All rights reserved.
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http://dx.doi.org/10.1111/den.12594 | DOI Listing |
Sci Rep
December 2024
Department of Pharmaceutics, College of Pharmacy, University of Ha'il, Ha'il, 81442, Saudi Arabia.
This research article presents a thorough and all-encompassing examination of predictive models utilized in the estimation of viscosity for ionic liquid solutions. The study focuses on crucial input parameters, namely the type of cation, the type of anion, the temperature (measured in Kelvin), and the concentration of the ionic liquid (expressed in mol%). This study assesses three influential machine learning algorithms that are based on the Decision Tree methodology.
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December 2024
Department of Biomedical Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, 61005, South Korea.
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December 2024
State Key Laboratory of Electrical Insulation and Power Equipment, Centre for Plasma Biomedicine, Xi'an Jiaotong University, Xi'an, 710049, P. R. China.
Liquid fertilizers, particularly when integrated with precision irrigation systems, offer a more efficient and sustainable alternative to traditional solid nitrogen fertilizers. The industrial production of ammonium nitrate (NHNO) is environmentally detrimental due to its reliance on fossil fuels. This study introduces an innovative air-to-NOx-to-NHNO pathway for synthesizing liquid nitrogen fertilizer.
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January 2025
University of Münster, Institute of Landscape Ecology, Münster, Germany.
Temperate forests cover 25% of the world's forest area and most of them are managed for timber production. To increase yields, native deciduous trees have been commonly replaced by fast-growing conifers, especially in Western and Central Europe. Despite the importance of forest soils for a variety of ecosystem functions, the effects of forest management intensity on soil biological processes have not yet been sufficiently understood.
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