کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5032622 | 1471128 | 2017 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Microwave thermal ablation: Effects of tissue properties variations on predictive models for treatment planning
ترجمه فارسی عنوان
تخلیه حرارتی مایکروویو: اثر تغییرات خواص بافت در مدل های پیش بینی شده برای برنامه ریزی درمان
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کلمات کلیدی
تخلیه حرارتی مایکروویو، خواص الکترومغناطیسی بافت، مدل سازی عددی، کاربردهای زیست پزشکی از زمینه های الکترومغناطیسی،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی پزشکی
چکیده انگلیسی
Microwave thermal ablation (MTA) therapy for cancer treatments relies on the absorption of electromagnetic 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 experimental 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 performed 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 â25% is considered with respect to the value of the reference simulation model.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Medical Engineering & Physics - Volume 46, August 2017, Pages 63-70
Journal: Medical Engineering & Physics - Volume 46, August 2017, Pages 63-70
نویسندگان
Vanni Lopresto, Rosanna Pinto, Laura Farina, Marta Cavagnaro,