Evidence map›Paper›PMID 32880777›Full record

ArticleInternational journal of computer assisted radiology and surgery2020

Multiple objective planning for thermal ablation of liver tumors.

Libin Liang, Derek Cool, Nirmal Kakani, Guangzhi Wang, Hui Ding, Aaron Fenster

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Article in International journal of computer assisted radiology and surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Libin LiangDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Room C249, Beijing, 100084, People's Republic of China.
Derek CoolDepartment of Medical Imaging, Western University, London, ON, Canada.
Nirmal KakaniDepartment of Radiology, Manchester Royal Infirmary, Manchester, UK.
Guangzhi WangDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Room C249, Beijing, 100084, People's Republic of China. wgz-dea@tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-1586-2669
Hui DingDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Room C249, Beijing, 100084, People's Republic of China.
Aaron FensterRobarts Research Institute, Western University, London, ON, Canada.

Funding

Beijing Municipal Science & Technology Commission Z191100007619036National Key R&D Program of China 2017YFA0205904National Key R&D Program of China 2019YFC0119503Tsinghua University Initiative Scientific Research Program 20197010009
6 · The paper itself

Abstract

purposePreoperative treatment planning is key to ensure successful thermal ablation of liver tumors. The planning aims to minimize the number of electrodes required for complete ablation and the damage to the surrounding tissues while satisfying multiple clinical constraints. This is a challenging multiple objective planning problem, in which the trade-off between different objectives must be considered.

methodsWe propose a novel method to solve the multiple objective planning problem, which combines the set cover-based model and Pareto optimization. The set cover-based model considers multiple clinical constraints and generates several clinically feasible treatment plans, among which the Pareto optimization is performed to find the trade-off between different objectives.

resultsWe evaluated the proposed method on 20 tumors of 11 patients in two different situations used in common thermal ablation approaches: with and without the pull-back technique. Pareto optimal plans were found and verified to be clinically acceptable in all cases, which can find the trade-off between the number of electrodes and the damage to the surrounding tissues.

conclusionThe proposed method performs well in the two different situations we considered: with or without the pull-back technique. It can generate Pareto optimal plans satisfying multiple clinical constraints. These plans consider the trade-off between different planning objectives.

Indexed as

Ablation TechniquesAlgorithmsCarcinoma, HepatocellularHumansLiver NeoplasmsMultiple objectivesPareto optimizationSet coverTreatment planning

Identifiers

PMID32880777

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.