Microwave thermal ablation (MTA) therapy for cancer treatments relies on the absorption of electromag- netic energy at microwave frequencies to induce a very high and localized temperature increase, which causes an irreversible thermal damage in the target zone. Treatment planning in MTA is based on exper- imental observations of ablation zones in ex vivo tissue, while predicting the treatment outcomes could be greatly improved by reliable numerical models. In this work, a fully dynamical simulation model is exploited to look at effects of temperature-dependent variations in the dielectric and thermal properties of the targeted tissue on the prediction of the temperature increase and the extension of the thermally coagulated zone. In particular, the influence of measurement uncertainty of tissue parameters on the numerical results is investigated. Numerical data were compared with data from MTA experiments per- formed on ex vivo bovine liver tissue at 2.45 GHz, with a power of 60 W applied for 10 min. By including in the simulation model an uncertainty budget (CI = 95%) of ±25% in the properties of the tissue due to inaccuracy of measurements, numerical results were achieved in the range of experimental data. Obtained results also showed that the specific heat especially influences the extension of the thermally coagulated zone, with an increase of 27% in length and 7% in diameter when a variation of −25% is considered with respect to the value of the reference simulation model.

Microwave thermal ablation. Effects of tissue properties variations on predictive models for treatment planning / Lopresto, Vanni; Pinto, Rosanna; Farina, Laura; Cavagnaro, Marta. - In: MEDICAL ENGINEERING & PHYSICS. - ISSN 1350-4533. - STAMPA. - 46:(2017), pp. 63-70. [10.1016/j.medengphy.2017.06.008]

Microwave thermal ablation. Effects of tissue properties variations on predictive models for treatment planning

Farina, Laura;Cavagnaro, Marta
2017

Abstract

Microwave thermal ablation (MTA) therapy for cancer treatments relies on the absorption of electromag- netic energy at microwave frequencies to induce a very high and localized temperature increase, which causes an irreversible thermal damage in the target zone. Treatment planning in MTA is based on exper- imental observations of ablation zones in ex vivo tissue, while predicting the treatment outcomes could be greatly improved by reliable numerical models. In this work, a fully dynamical simulation model is exploited to look at effects of temperature-dependent variations in the dielectric and thermal properties of the targeted tissue on the prediction of the temperature increase and the extension of the thermally coagulated zone. In particular, the influence of measurement uncertainty of tissue parameters on the numerical results is investigated. Numerical data were compared with data from MTA experiments per- formed on ex vivo bovine liver tissue at 2.45 GHz, with a power of 60 W applied for 10 min. By including in the simulation model an uncertainty budget (CI = 95%) of ±25% in the properties of the tissue due to inaccuracy of measurements, numerical results were achieved in the range of experimental data. Obtained results also showed that the specific heat especially influences the extension of the thermally coagulated zone, with an increase of 27% in length and 7% in diameter when a variation of −25% is considered with respect to the value of the reference simulation model.
2017
Bio-medical applications of electromagnetic fields; microwave thermal ablation; numerical modelling; tissue electromagnetic properties; biophysics; biomedical Engineering
01 Pubblicazione su rivista::01a Articolo in rivista
Microwave thermal ablation. Effects of tissue properties variations on predictive models for treatment planning / Lopresto, Vanni; Pinto, Rosanna; Farina, Laura; Cavagnaro, Marta. - In: MEDICAL ENGINEERING & PHYSICS. - ISSN 1350-4533. - STAMPA. - 46:(2017), pp. 63-70. [10.1016/j.medengphy.2017.06.008]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1019171
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