Evidence map›Paper›PMID 36479081›Full record

ArticleFrontiers in oncology2022

Liquid metal injected from interstitial channels for inhibiting subcutaneous hepatoma growth and improving MRI/MAT image contrast.

Chaosen Lu, Aocai Yang, Fei Xia, Guoqiang Liu, Hongliang Zhao, Wenwei Zhang, Yuanyuan Li, Jian Liu, Guolin Ma, Hui Xia

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 46% of its field
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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 5 institutions in 1 country.

Chaosen LuDepartment of Engineering Electromagnetic Field and Its Application, Institute of Electrical Engineering Chinese Academy of Sciences, Beijing, China.
Aocai YangDepartment of Radiology, China-Japan Friendship Hospital, Beijing, China.
Fei XiaArtemisinin Research Center, Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
Guoqiang LiuDepartment of Engineering Electromagnetic Field and Its Application, Institute of Electrical Engineering Chinese Academy of Sciences, Beijing, China.
Hongliang ZhaoCollege of Electrical and Automation Engineering, Shandong University of Science and Technology, Qingdao, China.
Wenwei ZhangDepartment of Engineering Electromagnetic Field and Its Application, Institute of Electrical Engineering Chinese Academy of Sciences, Beijing, China.
Yuanyuan LiDepartment of Engineering Electromagnetic Field and Its Application, Institute of Electrical Engineering Chinese Academy of Sciences, Beijing, China.
Jian LiuDepartment of Radiology, China-Japan Friendship Hospital, Beijing, China.
Guolin MaDepartment of Radiology, China-Japan Friendship Hospital, Beijing, China.
Hui XiaDepartment of Engineering Electromagnetic Field and Its Application, Institute of Electrical Engineering Chinese Academy of Sciences, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNChinese Academy of Sciences · CNUniversity of Chinese Academy of Sciences · CNInstitute of Electrical Engineering · CNShandong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Liquid metal (LM) nowadays is considered a new biomedical material for medical treatment. The most common application of LM in medical therapy is taking LM as a carrier for oncology therapeutics. However, the feasibility and direct effect of LM in tumor treatment are still unknown, and how to delineate the negative resection margin (NRM) of the tumor is also a crucial problem in surgery. We aimed to inject LM into interstitial channels of extremities of mice to overlay the surface of the primary tumor to investigate the effect of LM on inhibiting tumor growth and highlight the NRM of the tumor. Methods: In this study, all 50 BALB/c-nude female mice were used to construct the transplanted HepG2-type hepatocellular carcinoma model. One week after the establishment of the model, the mice were divided into three groups, named LM group, PBS group and Control group by injecting different liquid materials into the forelimb interstitial channel of the mice. T2WI image on MRI and Magneto-acoustic tomography (MAT) were used to show the distribution of LM and PBS in vivo. The group comparisons of tumor growth and blood tests were evaluated by one-way ANOVA and post-hoc analysis. And the biocompatibility of LM to BALB/c nude mice was evaluated by histopathological analysis of LM group and control group. Results: The volume change ratio of tumor was significantly lower in LM group than in PBS and Control group after 10 days of grouping. Compared with PBS and Control group, the main indexes of blood tests in LM group were significantly lower and close to normal level. In addition, the distribution of LM in vivo could be clearly observed under T2WI anatomic images and the crossprofile of the tumor in MAT. LM also has a obvious contrast in MRI T2WI and enhanced the amplitude of imaging signal in MAT. Conclusion: LM may inhibit the growth of transplanted hepatoma tumor through tumor encapsulation. In vivo, tumor imaging and LM distribution imaging were achieved by MRI T2WI, which verified that LM injected with interstitial injection made the NRM of tumor more prominent and had the potential of being MRI contrast agent. At the same time, LM could also be a new conductive medium to improve the imaging quality of MAT. Moreover, LM performed mild biocompatibility.

Indexed as

hepatomainterstitial injectionliquid metalmagnetic resonance imagingmagnetoacoustic tomography

Identifiers

PMID36479081
PMCPMC9720740
OpenAlexW4309744817

What OpenQuestion holds

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Registered trials

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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.