Evidence map›Paper›PMID 36925931›Full record

ArticleFrontiers in oncology2023

Intravoxel incoherent motion imaging used to assess tumor microvascular changes after transarterial chemoembolization in a rabbit VX2 liver tumor model.

Zhimei Cheng, Huanrong Qin, Wei Cao, Huizhou He, Shuling Zhang, Yushi Yang, Zhenmin Wang, Xun Zou, Lizhou Wang, Xueqing Huang and 2 more

Open access · goldFull text read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
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

12 authors at 1 institution in 1 country.

Zhimei ChengDepartment of Interventional Radiology, the Affiliated Hospital of Guizhou Medical University, China Branch of National Clinical Research Center for Interventional Medicine, Guiyang, China.
Huanrong QinDepartment of Interventional Radiology, the Affiliated Hospital of Guizhou Medical University, China Branch of National Clinical Research Center for Interventional Medicine, Guiyang, China.
Wei CaoDepartment of Interventional Radiology, The Affiliated Cancer Hospital of Guizhou Medical University, Guiyang, China.
Huizhou HeDepartment of Interventional Radiology, the Affiliated Hospital of Guizhou Medical University, China Branch of National Clinical Research Center for Interventional Medicine, Guiyang, China.
Shuling ZhangThe Affiliated Hospital of Guizhou Medical University & Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang, China.
Yushi YangDepartment of Pathology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Zhenmin WangDepartment of Radiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Xun ZouDepartment of Radiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Lizhou WangDepartment of Interventional Radiology, the Affiliated Hospital of Guizhou Medical University, China Branch of National Clinical Research Center for Interventional Medicine, Guiyang, China.
Xueqing HuangDepartment of Interventional Radiology, the Affiliated Hospital of Guizhou Medical University, China Branch of National Clinical Research Center for Interventional Medicine, Guiyang, China.
Shi ZhouDepartment of Interventional Radiology, the Affiliated Hospital of Guizhou Medical University, China Branch of National Clinical Research Center for Interventional Medicine, Guiyang, China.
Shuai ZhangDepartment of Interventional Radiology, the Affiliated Hospital of Guizhou Medical University, China Branch of National Clinical Research Center for Interventional Medicine, Guiyang, China.
Guiyang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To evaluate the correlation between microvascular density (MVD) and intravoxel incoherent motion (IVIM) magnetic resonance imaging (MRI) parameters and the effect of glycolytic flux after transarterial chemoembolization (TACE) in a rabbit VX2 liver tumor. Materials and methods: VX2 liver tumor allografts in 15 New Zealand white rabbits were treated with sterile saline (control group, n = 5) or lipiodol-doxorubicin emulsion (experimental group, n = 10). MRI was performed 2 weeks after the procedure to evaluate IVIM parameters, including apparent diffusion coefficient (ADC), pure diffusion coefficient (D), pseudodiffusion coefficient (D*), and perfusion fraction (PF). All animal samples were taken of the tumor and surrounding liver. Immunostaining for CD31, CD34, CD105, and VEGF was used to evaluate MVD. The protein expression of Glut4, HK2, PKM2, LDHA, and MCT1 was determined using western blotting. Pearson correlation tests were used to analyze the relationship between MVD and IVIM parameters. Results: D* value in the peritumoral region was negatively correlated with CD34 (r = -0.71, Conclusion: IVIM parameters were correlated with MVD in the intratumoral and peritumoral regions after TACE in a rabbit liver tumor model. The angiogenesis reflected by MVD may be related to changes of glycolytic flux.

Indexed as

glycolytic fluxintravoxel incoherent motion imagingmicrovessel densityrabbit VX2 liver tumortransarterial chemoembolization

Identifiers

PMID36925931
PMCPMC10011620
OpenAlexW4323309783

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read17
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.