Background: Argon plasma coagulation seems to be a promising technique for ablation of Barrett's oesophagus, yet few long-term efficacy data are available.
Aim: To report on a long-term follow-up and the factors that determine the recurrence of intestinal metaplasia in a cohort of patients with non dysplastic, intestinal type Barrett's oesophagus, after complete ablation of the metaplastic mucosa with argon plasma coagulation.
Methods: Ninety-six patients underwent endoscopic argon plasma coagulation with adequate acid suppression obtained through a continuous omeprazole therapy (50 patients) or through laparoscopic fundoplication (46 patients). Complete ablation was achieved in 94 patients who underwent follow-up. Endoscopic and histological examinations were performed every 12 months.
Results: The median follow-up of the patients was 36 months (range 18-98). A recurrence of intestinal metaplasia was found in 17 patients (18%), with an annual recurrence rate of 6.1%. Neither dysplasia, nor adenocarcinoma were found during the follow-up. Through the use of logistic regression analysis, previous laparoscopic fundoplication was associated with a reduced recurrence rate of intestinal metaplasia (odds ratio 0.30, 95% confidence interval 0.10-0.93).
Conclusions: The long-term recurrence of intestinal type Barrett's oesophagus was low after complete ablation with argon plasma coagulation. The control of oesophageal acidity acid exposure with laparoscopic fundoplication seems to reduce the recurrence rate.
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http://dx.doi.org/10.1111/j.1365-2036.2007.03251.x | DOI Listing |
Prz Gastroenterol
September 2024
Ward of General Surgery, Regional Hospital, Sieradz, Poland.
J Clin Gastroenterol
January 2025
Department of Gastroenterology and Hepatology Creighton University, Omaha, NE.
Introduction: Thermal ablative methods (such as argon plasma coagulation (APC) and soft tip snare coagulation (STSC) are commonly used to treat polyp margins. We aim to appraise the current literature and compare clinical outcomes between patients with treated (with APC vs. STSC) and non-treated endoscopic mucosal resection (EMR) margins.
View Article and Find Full Text PDFIGIE
December 2024
School of Computer Science, University of Oklahoma, Norman, Oklahoma, USA.
Background And Aims: Obesity is a global health concern. Bariatric surgery offers reliably effective and durable weight loss and improvements of other comorbid conditions. However, the accessibility of bariatric surgery remains limited.
View Article and Find Full Text PDFNanomaterials (Basel)
December 2024
Department of General Physics, Kazan National Research Technical University Named After A.N. Tupolev-KAI, Kazan 420111, Russia.
In this work, within the framework of a self-consistent model of arc discharge, a simulation of plasma parameters in a mixture of argon and methane was carried out, taking into account the evaporation of the electrode material in the case of a refractory and non-refractory cathode. It is shown that in the case of a refractory tungsten cathode, almost the same methane conversion rate is observed, leading to similar values in the density of the main methane conversion products (C, C, H) at different values of the discharge current density. However, with an increase in the current density, the evaporation rate of copper atoms from the anode increases, and a jump in the - characteristic is observed, caused by a change in the plasma-forming ion.
View Article and Find Full Text PDFMolecules
December 2024
Institute of Ion Physics and Applied Physics, University of Innsbruck, Technikerstraße 25, 6020 Innsbruck, Austria.
Machine learning potential energy functions can drive the atomistic dynamics of molecules, clusters, and condensed phases. They are amongst the first examples that showed how quantum mechanics together with machine learning can predict chemical reactions as well as material properties and even lead to new materials. In this work, we study the behaviour of tungsten trioxide (WO) surfaces upon particle impact by employing potential energy surfaces represented by neural networks.
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