DocumentCode
406353
Title
Thermal dose versus isotherm as lesion boundary estimator for cardiac and hepatic radio-frequency ablation
Author
Haemmerich, D. ; Webster, J.G. ; Mahvi, D.M.
Author_Institution
Dept. of Surg., Wisconsin Univ., Madison, WI, USA
Volume
1
fYear
2003
fDate
17-21 Sept. 2003
Firstpage
134
Abstract
Radio-frequency (RF) ablation is a therapy that destroys pathologic tissue by heat. Cardiac ablation is a widely used treatment method for a number of cardiac arrhythmias. Hepatic ablation is becoming an increasingly popular for treatment of liver tumors. Mathematical ablation models have been developed to predict dimensions of inflicted tissue damage (i.e. RF lesion). In most models the 50 °C isotherm has been used to determine boundary between viable and dead tissue. It is well known that accurate damage prediction has to take the temperature history (i.e. thermal dose) into account. We implemented the widely used Arrhenius damage model into our finite element method computer models of cardiac and hepatic RF ablation. We simulated cardiac ablation for 45 s, and hepatic ablation for 12 min. We compared the lesion boundary determined by the damage model to the 50 °C isotherm. For the cardiac model, the isotherm overestimated the lesion diameter by 4.8%. For hepatic ablation model, the isotherm underestimated the lesion diameter by 4 %. For short treatment times below 30 s in cardiac ablation, and for long treatment times in hepatic ablation above 20 min, the thermal dose should be used to determine lesion dimensions since the isotherm results in large errors in these cases.
Keywords
biothermics; cardiology; finite element analysis; liver; radiation therapy; tumours; 12 min; 45 s; 50 degC; Arrhenius damage model; cardiac arrhythmias; cardiac radiofrequency ablation; dead tissue; finite element method; hepatic radiofrequency ablation; isotherm; lesion boundary; lesion boundary estimator; liver tumors; pathologic tissue; therapy; thermal dose; viable tissue; Finite element methods; History; Lesions; Liver neoplasms; Mathematical model; Medical treatment; Predictive models; Radio frequency; Temperature; Tissue damage;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
ISSN
1094-687X
Print_ISBN
0-7803-7789-3
Type
conf
DOI
10.1109/IEMBS.2003.1279532
Filename
1279532
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