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作者:

Zhang, Rui (Zhang, Rui.) | Wu, Shuicai (Wu, Shuicai.) (学者:吴水才) | Wu, Weiwei (Wu, Weiwei.) | Gao, Hongjian (Gao, Hongjian.) | Zhou, Zhuhuang (Zhou, Zhuhuang.)

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摘要:

Radiofrequency ablation (RFA) and microwave ablation (MWA) have become an important means for treating liver tumors. RFA and MWA are a minimally invasive therapy which involves an ablation applicator or needle (i.e., radiofrequency electrode or microwave antenna) inserted percutaneously into a tumor under the guidance of medical imaging, so as to destroy the tumor in situ by heating-induced coagulation necrosis. Treatment planning, particularly needle trajectory planning, is crucial to RFA and MWA. In clinical procedures, however, needle trajectory planning still relies on the personal experience of clinicians. Manual needle trajectory planning is tedious and may cause inter-operator difference. Therefore, computer-assisted needle trajectory planning techniques are of clinical value and have been extensively explored. However, a literature review that focuses on computer-assisted needle trajectory planning for liver tumor RFA and MWA has not been reported. In this paper, we conducted an extensive review on computer-assisted needle trajectory planning for RFA and MWA of liver tumors. Fundamentals of needle trajectory planning are summarized. Algorithms for single-needle and multi-needle trajectory planning are analyzed. Shortcomings of current computer-assisted needle trajectory planning algorithms are discussed and future developments are suggested.

关键词:

liver tumor microwave ablation needle trajectory planning optimization problem radiofrequency ablation

作者机构:

  • [ 1 ] [Zhang, Rui]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 2 ] [Wu, Shuicai]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 3 ] [Gao, Hongjian]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 4 ] [Zhou, Zhuhuang]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China
  • [ 5 ] [Wu, Weiwei]Capital Med Univ, Coll Biomed Engn, Beijing 100069, Peoples R China

通讯作者信息:

  • [Zhou, Zhuhuang]Beijing Univ Technol, Coll Life Sci & Bioengn, Beijing 100124, Peoples R China

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来源 :

MATHEMATICAL BIOSCIENCES AND ENGINEERING

ISSN: 1547-1063

年份: 2019

期: 5

卷: 16

页码: 4846-4872

2 . 6 0 0

JCR@2022

ESI学科: MATHEMATICS;

ESI高被引阀值:25

被引次数:

WoS核心集被引频次: 21

SCOPUS被引频次: 20

ESI高被引论文在榜: 0 展开所有

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