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  4. A thermoelastic deformation model of tissue contraction during thermal ablation
 
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A thermoelastic deformation model of tissue contraction during thermal ablation

Journal
International Journal of Hyperthermia
Journal Volume
34
Journal Issue
3
Pages
221-228
Date Issued
2018
Author(s)
Park C.S.
Liu C.
Hall S.K.
Payne S.J.
STEPHEN JOHN PAYNE  
DOI
10.1080/02656736.2017.1335441
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020731330&doi=10.1080%2f02656736.2017.1335441&partnerID=40&md5=e1f44dcb4aaefc028a1fc1148f884ebf
https://scholars.lib.ntu.edu.tw/handle/123456789/611744
Abstract
Purpose: Thermal ablation is an energy-based ablation technique widely used during minimally invasive cancer treatment. Simulations are used to predict the dead tissue post therapy. However, one difficulty with the simulations is accurately predicting the ablation zone in post-procedural images due to the contraction of tissue as a result of exposure to elevated temperatures. Materials and methods: A mathematical model of the thermoelastic deformation for an elastic isotropic material was coupled with a three state thermal denaturation model to determine the contraction of tissue during thermal ablation. A finite difference method was considered to quantify the tissue contraction for a typical temperature distribution during thermal ablation. Results: The simulations show that tissue displacement during thermal ablation was not bound to the tissue heated regions only. Both tissue expansion and contraction were observed at the different stages of the heating process. Tissue contraction of up to 42% was obtained with an applicator temperature of 90 °C. A recovery of around 2% was observed with heating removed as a result of unfolded state proteins returning back to its native state. Poisson’s ratio and the applicator temperature have both been shown to affect the tissue displacement significantly. The maximum tissue contraction was found to increase with both increasing Poisson’s ratio and temperature. Conclusions: The model presented here will allow predictions of thermal ablation to be corrected for tissue contraction, which is an important effect, during comparison with post-procedural images, thus improving the accuracy of mathematical simulations for treatment planning. ? 2017 Informa UK Limited, trading as Taylor & Francis Group.
Subjects
chemical binding
denaturation
heating
human
muscle contractility
prediction
quantitative study
simulation
statistical model
tissue expansion
treatment planning
ablation therapy
computer simulation
low level laser therapy
procedures
theoretical model
thermotherapy
Ablation Techniques
Computer Simulation
Humans
Hyperthermia, Induced
Laser Therapy
Models, Theoretical
SDGs

[SDGs]SDG3

Type
journal article

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