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Simulation of radio-frequency ablation of liver tumors: Development of a power regulation model and comparison with microwave ablation
Linköping University, Department of Management and Engineering, Applied Thermodynamics and Fluid Mechanics.
2011 (English)Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Local therapy with radiofrequency ablation (RFA) is an important method for treating liver tumors mostly in early stage, which has been increasingly used in recent years.

RFA utilizes an RF current that is applied to the target tissue through an electrode connected with a power generator and percutaneously inserted into the tumor; the electrode power causes the tissue temperature rise required for destroying cancer cells.

If RF thermal ablation entails numerous advantages - such as high repeatability of treatments, suitability for patients who can‟t undergo surgery, quick procedure and fast recovery -, there are still some inconveniences and difficulties coupled with this technique. One of these problems is the so called heat sink effects, resulting from the presence of large blood vessels close to the electrode tip.

First, an overview is given of RFA physical background and heat transfer models followed by the improvement of a model of RF ablation in the liver. Second, special attention has been given to the mesh settings so that the simulation model could benefit from an appropriate mesh in terms of resolution and accuracy of the results obtained and in terms of reduced computational time. Then, a large part of the work has been dedicated to the development of a power regulation (PR) aiming at an optimization of the thermal treatment although the presence of large blood vessels in the ablation area and at an abatement of the number of residual tumors. Finally, a comparison work has been conducted between two different ablation modalities (RF versus MW) showing similarities and differences until the conclusion that currently the RFA treatment is the most suitable treatment for tumors in early stage, small and localized.

Place, publisher, year, edition, pages
2011. , 89 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-65790ISRN: LIU-IEI-TEK-A--11/01009--SEOAI: oai:DiVA.org:liu-65790DiVA: diva2:398966
Presentation
2010-12-22, Linköping university, Linköping, 10:14
Uppsok
Technology
Examiners
Available from: 2011-02-21 Created: 2011-02-21 Last updated: 2011-02-21Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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Language
  • de-DE
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Output format
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