Literature DB >> 31499693

Computer-assisted needle trajectory planning and mathematical modeling for liver tumor thermal ablation: A review.

Rui Zhang1, Shui Cai Wu2, Wei Wei Wu2, Hong Jian Gao1, Zhu Huang Zhou1.   

Abstract

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.

Entities:  

Keywords:  liver tumor; microwave ablation; needle trajectory planning; optimization problem; radiofrequency ablation

Mesh:

Year:  2019        PMID: 31499693     DOI: 10.3934/mbe.2019244

Source DB:  PubMed          Journal:  Math Biosci Eng        ISSN: 1547-1063            Impact factor:   2.080


  3 in total

1.  Microwave ablation of lung tumors: A probabilistic approach for simulation-based treatment planning.

Authors:  Jan Sebek; Pinyo Taeprasartsit; Henky Wibowo; Warren L Beard; Radoslav Bortel; Punit Prakash
Journal:  Med Phys       Date:  2021-05-27       Impact factor: 4.506

2.  Stereotactic and Robotic Minimally Invasive Thermal Ablation of Malignant Liver Tumors: A Systematic Review and Meta-Analysis.

Authors:  Pascale Tinguely; Iwan Paolucci; Simeon J S Ruiter; Stefan Weber; Koert P de Jong; Daniel Candinas; Jacob Freedman; Jennie Engstrand
Journal:  Front Oncol       Date:  2021-09-23       Impact factor: 6.244

Review 3.  Discussion on the possibility of multi-layer intelligent technologies to achieve the best recover of musculoskeletal injuries: Smart materials, variable structures, and intelligent therapeutic planning.

Authors:  Na Guo; Jiawen Tian; Litao Wang; Kai Sun; Lixin Mi; Hao Ming; Zhao Zhe; Fuchun Sun
Journal:  Front Bioeng Biotechnol       Date:  2022-09-30
  3 in total

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