Introduction: Argon plasma coagulation (APC) has been reported to be effective in the treatment of solitary rectal ulcer syndrome (SRUS). However, it has not appeared to be effective in healing ulcers.
Aim: This study aimed at assessing the effectiveness of APC in controlling rectal ulcer-induced bleeding, and at examining the ultimate effect of this approach in healing these lesions.
Material And Methods: This randomised, controlled trial was conducted on 99 patients with SRUS. Patients were randomly enrolled into two groups of APC therapy (intervention) and conventional therapy (control). The control group ( = 58) received a high-fibre diet, laxatives, behaviour therapy, and sucralfate enemas, and the intervention group ( = 41) were treated with APC plus conventional therapy; in fact they received directed and focused argon gas in addition to a high-fibre diet and laxatives.
Results: Responses to treatment in the control group and in the APC-receiving group were 29.3% and 75.6%, respectively. The continuation of ulcer healing after 3 months in the control group was 10.3%, and it was 70.7% in the APC-treated group. There was a significant statistical difference between the two groups ( < 0.004), i.e. bleeding was controlled more frequently in the group receiving APC plus conventional therapies than in the group receiving only the conventional therapies. However, the results showed no statistically significant difference between the two groups in terms of pain relief ( < 0.36).
Conclusions: Argon plasma coagulation not only controlled bleeding in patients with SRUS, but also, in comparison with the conventional methods of treating SRUS, led to healing and continuation of healing of rectal ulcers.
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http://dx.doi.org/10.5114/pg.2016.64846 | 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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