High-security automatic path planning of radiofrequency ablation for liver tumors

• Published in: Computer methods and programs in biomedicine Vol. 242; p. 107769
• Main Authors: Li, Jing, Gao, Huayu, Shen, Nanyan, Wu, Di, Feng, Lanyun, Hu, Peng
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.12.2023
• Subjects: Liver tumor; Multi-objective optimization; NSGA-II; Puncture path; NSGA-II; Multi-objective optimization; Liver tumor; Puncture path
• ISSN: 0169-2607; 1872-7565; 1872-7565
• DOI: 10.1016/j.cmpb.2023.107769

•The proposed fixed point and core target area contribute to a fast model to get the feasible puncture paths within about 41.4 s.•A more comprehensive optimization model with seven constraints integrated is proposed for multiple puncture planning.•The safety of the injection route and the position of the ablation area relative to the surrounding organs are both included in the consideration of RFA puncture path planning. Radiofrequency ablation (RFA) is an effective method for the treatment of liver tumors. Preoperative path planning, which plays a crucial role in RFA treatment, requires doctors to have significant experience and ability. Specifically, correct and highly active preoperative path planning should ensure the safety of the whole puncturing process, complete ablation of tumors and minimal damage to healthy tissues. In this paper, a high-security automatic multiple puncture path planning method for liver tumors is proposed, in which the optimization of the ablation number, puncture number, target positions and puncture point positions subject to comprehensive clinical constraints are studied. In particular, both the safety of the puncture path and the distribution of ablation ellipsoids are taken into consideration. The influence of each constraint on the safety of the whole puncturing process is discussed in detail. On this basis, the efficiency of the planning method is obviously improved by simplifying the computational data and optimized variables. In addition, the performance and adaptability of the proposed method to large and small tumors are compared and summarized. The proposed method is evaluated on 10 liver tumors of various geometric characteristics from 7 cases. The test results show that the average path planning time and average ablation efficiency are 41.4 s and 60.19%, respectively. For tumors of different sizes, the planning results obtained from the proposed method have similar healthy tissue coverage. Through the clinical evaluation of doctors, the planning results meet the needs of RFA for liver tumors. The proposed method can provide reasonable puncture paths in RFA planning, which is beneficial to ensure the safety and efficiency of liver tumor ablation.