Evidence map›Paper›PMID 33594637›Full record

ArticleAnnals of biomedical engineering2021

Irreversible Electroporation Enhanced by Radiofrequency Ablation: An In Vitro and Computational Study in a 3D Liver Tumor Model.

Zheng Fang, Huimin Mao, Michael A J Moser, Wenjun Zhang, Zhiqin Qian, Bing Zhang

Abstract read
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In one paragraph

Article in Annals of biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
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  6. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Zheng FangEnergy-based Tumor Ablation Laboratory, School of Mechatronic Engineering and Automation, Shanghai University, 99 Shangda Road, Shanghai, 200444, China.
Huimin MaoSchool of Mechanical and Power Engineering, East China University of Science and Technology, No. 130 Meilong Road, Shanghai, 200237, China.
Michael A J MoserDepartment of Surgery, University of Saskatchewan, Saskatoon, Canada.
Wenjun ZhangDivision of Biomedical Engineering, University of Saskatchewan, Saskatoon, Canada.
Zhiqin QianSchool of Mechanical and Power Engineering, East China University of Science and Technology, No. 130 Meilong Road, Shanghai, 200237, China. qianzhiqin@ecust.edu.cn.
Bing ZhangEnergy-based Tumor Ablation Laboratory, School of Mechatronic Engineering and Automation, Shanghai University, 99 Shangda Road, Shanghai, 200444, China. bingzhang84@shu.edu.cn.ORCID http://orcid.org/0000-0001-5650-2518

Funding

Young Scientists Fund 81801795
6 · The paper itself

Abstract

In the present study, we used a computational and experimental study in a 3D liver tumor model (LTM) to explore the tumor ablation enhancement of irreversible electroporation (IRE) by pre-heating with radiofrequency ablation (RFA) and elucidate the mechanism whereby this enhancement occurs. Three ablation protocols, including IRE alone, RFA45 → IRE (with the pre-heating temperature of 45 °C), and RFA60 → IRE (with the pre-heating temperature of 60 °C) were investigated. Both the thermal conductivity and electrical conductivity of the 3D LTM were characterized with the change in the pre-heating temperature. The results showed, compared to IRE alone, a significant increase in the tumor ablation volume (19.59 [Formula: see text] 0.61 vs. 15.29 ± 0.61 mm

Indexed as

ElectroporationModels, BiologicalRadiofrequency AblationElectric ConductivityHep G2 CellsHumansLiver NeoplasmsTemperatureThermal Conductivity3D liver tumor modelFinite element modelIrreversible electroporationRadiofrequency ablationTumor ablation enhancement

Identifiers

PMID33594637

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.