Evidence map›Paper›PMID 27685133›Full record

ArticleJournal of applied clinical medical physics2016

Correlation of quantitative dynamic contrast-enhanced MRI with microvascular density in necrotic, partial necrotic, and viable liver tumors in a rabbit model.

Jungwon Moon, Jae-Hun Kim, Dongil Choi, Jehoon Yang, Min Woo Lee, Yoon-La Choi, Hyunchul Rhim

Open access · goldAbstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Article
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  4. Article
  5. 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

7 authors at 3 institutions in 2 countries.

Jungwon MoonSamsung Medical Center, Sungkyunkwan University School of Medicine; Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine. jaehun.kim@skku.edu.
Jae-Hun Kim
Dongil Choi
Jehoon Yang
Min Woo Lee
Yoon-La Choi
Hyunchul Rhim
Samsung Medical Center · KRSungkyunkwan University · KRBiomedical Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to examine the correlation of quantitative dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) with microvessel density (MVD) in necrotic, partial necrotic, and viable tumors using a rabbit VX2 liver tumor model. Nine rabbits were used for this study. The complete necrotic area (CNA), partial necrotic area (PNA), and viable tumor area (VTA) of liver tumors were experimentally induced by radiofrequency ablation (RFA). DCE-MRI data were processed based on the extended Kety model to estimate Ktrans, ve and vp parameters. The boundaries among CNA, PNA, and VTA were delineated based on H&E stain images, and MVD was assessed for each subregion of each VX2 tumor based. There were no correlations between ph-parameters (Ktrans, ve, and vp) and MVD for CNA. For PNA, the Ktrans values were positively correlated with the MVD (r = 0.8124, p < 0.001). For VTA, we found a positive correlation between Ktrans values and the MVD (r = 0.5743, p < 0.05). Measuring from both the PNA and the VTA, mean Ktrans values were positively correlated with mean MVD (r = 0.8470, p < 0.0001). In a rabbit VX2 liver tumor model, Ktrans values correlated well with MVD counts of PNA and VTA in liver tumors.

Indexed as

Contrast MediaAnimalsCatheter AblationHumansLiver NeoplasmsMagnetic Resonance ImagingMicrovesselsNecrosisRabbitsContrast Media

Identifiers

PMID27685133
PMCPMC5874097
OpenAlexW2521947365

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.