2004
DOI: 10.1186/1475-925x-3-27
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Thermal modeling of lesion growth with radiofrequency ablation devices

Abstract: Background: Temperature is a frequently used parameter to describe the predicted size of lesions computed by computational models. In many cases, however, temperature correlates poorly with lesion size. Although many studies have been conducted to characterize the relationship between time-temperature exposure of tissue heating to cell damage, to date these relationships have not been employed in a finite element model.

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Cited by 205 publications
(121 citation statements)
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“…The geometry of the electrode and tissue was constructed in a 2-D axis symmetric model in order to capitalize in the rotational symmetry and generate the solutions in a more computationally efficient manner than the equivalent 3-D model. The liver tissue domain was selected to be 24 cm in length (z-direction) and 12 cm in width (r-direction) which represents a 3-D cylindrical domain which is twice the dimensions of the one implemented by Chang et al in order to prevent edge effects [47]. Due to rotational symmetry of the geometry, only the electrode radius (0.825 mm) was modeled as depicted in Figure 1B .…”
Section: Methodsmentioning
confidence: 99%
“…The geometry of the electrode and tissue was constructed in a 2-D axis symmetric model in order to capitalize in the rotational symmetry and generate the solutions in a more computationally efficient manner than the equivalent 3-D model. The liver tissue domain was selected to be 24 cm in length (z-direction) and 12 cm in width (r-direction) which represents a 3-D cylindrical domain which is twice the dimensions of the one implemented by Chang et al in order to prevent edge effects [47]. Due to rotational symmetry of the geometry, only the electrode radius (0.825 mm) was modeled as depicted in Figure 1B .…”
Section: Methodsmentioning
confidence: 99%
“…This may be due to greater gas generation in the unperfused liver. Blood perfusion introduces a “heat-sink” effect that mitigates heat and mass transfer so greater vaporization would be expected in tissue lacking blood flow (Goldberg et al 1998, Chang and Nguyen 2004). However, this hypothesis would need additional controlled experimentation for confirmation.…”
Section: Discussionmentioning
confidence: 99%
“…The cumulative tissue damage of EM hyperthermia-induced ablation zone can be calculated by using the following Arrhenius equation [22]: XðtÞ ¼ ln…”
Section: Thermal Lesion Quantificationmentioning
confidence: 99%
“…where X(t) is the cumulative tissue damage as a function of time and n cell (t) denotes the concentration of living cells; R a and A denote the universal gas constant (8.3145 J/mol K) and the frequency factor (7.39 Â 1039 s À1 ), respectively [22,23]; and DE is the activation energy for the irreversible damage reaction (2.5774 Â 105 J/mol) [22,23].…”
Section: Thermal Lesion Quantificationmentioning
confidence: 99%