Literature DB >> 25366922

Simulation of radiofrequency ablation in real human anatomy.

George Zorbas1, Theodoros Samaras.   

Abstract

PURPOSE: The objective of the current work was to simulate radiofrequency ablation treatment in computational models with realistic human anatomy, in order to investigate the effect of realistic geometry in the treatment outcome.
MATERIALS AND METHODS: The body sites considered in the study were liver, lung and kidney. One numerical model for each body site was obtained from Duke, member of the IT'IS Virtual Family. A spherical tumour was embedded in each model and a single electrode was inserted into the tumour. The same excitation voltage was used in all cases to underline the differences in the resulting temperature rise, due to different anatomy at each body site investigated. The same numerical calculations were performed for a two-compartment model of the tissue geometry, as well as with the use of an analytical approximation for a single tissue compartment.
RESULTS: Radiofrequency ablation (RFA) therapy appears efficient for tumours in liver and lung, but less efficient in kidney. Moreover, the time evolution of temperature for a realistic geometry differs from that for a two-compartment model, but even more for an infinite homogenous tissue model. However, it appears that the most critical parameters of computational models for RFA treatment planning are tissue properties rather than tissue geometry.
CONCLUSIONS: Computational simulations of realistic anatomy models show that the conventional technique of a single electrode inside the tumour volume requires a careful choice of both the excitation voltage and treatment time in order to achieve effective treatment, since the ablation zone differs considerably for various body sites.

Entities:  

Keywords:  Arrhenius model; finite difference; pennes bioheat equation; radiofrequency ablation

Mesh:

Year:  2014        PMID: 25366922     DOI: 10.3109/02656736.2014.968639

Source DB:  PubMed          Journal:  Int J Hyperthermia        ISSN: 0265-6736            Impact factor:   3.914


  3 in total

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Authors:  Mahendran Subramanian; Gillian Pearce; Ozge Kozgus Guldu; Volkan Tekin; Arkadiusz Miaskowski; Omer Aras; Perihan Unak
Journal:  IEEE Trans Nanobioscience       Date:  2016-09       Impact factor: 2.935

2.  Computational simulation of the predicted dosimetric impact of adjuvant yttrium-90 PET/CT-guided percutaneous ablation following radioembolization.

Authors:  Alexander S Pasciak; Abigail Lin; Christos Georgiades; Laura K Findeiss; Shannon Kauffman; Yong C Bradley
Journal:  EJNMMI Res       Date:  2016-12-12       Impact factor: 3.138

3.  Possible involvement of HSP70 in pancreatic cancer cell proliferation after heat exposure and impact on RFA postoperative patient prognosis.

Authors:  Hui-Bin Song
Journal:  Biochem Biophys Rep       Date:  2019-10-31
  3 in total

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