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Method for estimating the temperature distribution associated with the vessel cooling effect in radio frequency ablation.

作者信息

Lu Xiaowei, Kikuchi Hayato, Hirooka Kazumasa, Isobe Yosuke, Watanabe Hiroki, Kobayashi Yo, Miyashita Tomoyuki, Fujie Masakatsu G

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:4836-9. doi: 10.1109/EMBC.2015.7319476.

DOI:10.1109/EMBC.2015.7319476
PMID:26737376
Abstract

Recently, radio frequency ablation (RFA) has become one of the most popular thermal treatments for liver cancer. RFA is minimally invasive and effective in inducing tumor coagulation, however, because use the procedure depends on the experience of the physician, consistent accuracy cannot be guaranteed. In particular, when the tumor is close to a large vessel, a suboptimal ablation margin can result in tumor recurrence. To improve the accuracy of RFA treatment, we have developed an RFA supporting system, which was constructed by using finite element method and operated by means of a model-based control method. In this study, we focused on the cooling effect of flow volume inside a large vessel during RFA, and analyzed heat transfer between the large vessel and liver tissue using a model. We derived the heat transfer parameter (the Nusselt number (Nu)) between the large vessel and liver tissue during RFA by using a finite-element method (FEM). When the Nu for FEM analysis had a value of 3, the FEM analysis model was representative of the actual ablation objective, and the maximum error between FEM analysis and the measurement results was within 2.0[°C]. Thus, it was suggested that the Nu was effective for FEM analysis regarding heat transfer between a large vessel and tissue. However, according to the differences between the results of FEM analysis and measurements concerning the three livers, the heat transfer volume was determined by the Nu, which is different individually in common with other thermal properties. In conclusion, it is necessary to consider the individual differences in the heat transfer volume parameter for FEM analysis.

摘要

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引用本文的文献

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A prospective development study of software-guided radio-frequency ablation of primary and secondary liver tumors: Clinical intervention modelling, planning and proof for ablation cancer treatment (ClinicIMPPACT).原发性和继发性肝肿瘤软件引导射频消融的前瞻性发展研究:消融癌症治疗的临床干预建模、规划与验证(ClinicIMPPACT)
Contemp Clin Trials Commun. 2017 Aug 18;8:25-32. doi: 10.1016/j.conctc.2017.08.004. eCollection 2017 Dec.