Evidence map›Paper›PMID 29362559›Full record

ArticleContrast media & molecular imaging2017

Fluorine-19 Magnetic Resonance Imaging and Positron Emission Tomography of Tumor-Associated Macrophages and Tumor Metabolism.

Soo Hyun Shin, Sang Hyun Park, Se Hun Kang, Seung Won Kim, Minsun Kim, Daehong Kim

Open access · hybridAbstract read
In one paragraph

Article in Contrast media & molecular imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

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  8. PreclinicalMagma (New York, N.Y.) · 2019
    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

6 authors at 1 institution in 1 country.

Soo Hyun ShinMolecular Imaging Branch, Division of Convergence Technology, National Cancer Center, Ilsanro-ro 323, Ilsandong-gu, Goyang 10408, Republic of Korea.ORCID 0000-0003-1875-2908
Sang Hyun ParkMolecular Imaging Branch, Division of Convergence Technology, National Cancer Center, Ilsanro-ro 323, Ilsandong-gu, Goyang 10408, Republic of Korea.
Se Hun KangAnimal Molecular Imaging Unit, Research Institute, National Cancer Center, Ilsanro-ro 323, Ilsandong-gu, Goyang 10408, Republic of Korea.
Seung Won KimMolecular Imaging Branch, Division of Convergence Technology, National Cancer Center, Ilsanro-ro 323, Ilsandong-gu, Goyang 10408, Republic of Korea.
Minsun KimMolecular Imaging Branch, Division of Convergence Technology, National Cancer Center, Ilsanro-ro 323, Ilsandong-gu, Goyang 10408, Republic of Korea.
Daehong KimMolecular Imaging Branch, Division of Convergence Technology, National Cancer Center, Ilsanro-ro 323, Ilsandong-gu, Goyang 10408, Republic of Korea.ORCID 0000-0003-2169-6708
National Cancer Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The presence of tumor-associated macrophages (TAMs) is significantly associated with poor prognosis of tumors. Currently, magnetic resonance imaging- (MRI-) based TAM imaging methods that use nanoparticles such as superparamagnetic iron oxide and perfluorocarbon nanoemulsions are available for quantitative monitoring of TAM burden in tumors. However, whether MRI-based measurements of TAMs can be used as prognostic markers has not been evaluated yet. In this study, we used positron emission tomography (PET) with

Indexed as

Mammary Neoplasms, ExperimentalTumor MicroenvironmentAnimalsFemaleFluorineFluorine-19 Magnetic Resonance ImagingFluorodeoxyglucose F18MacrophagesMicePositron-Emission TomographyFluorineFluorodeoxyglucose F18

Identifiers

PMID29362559
PMCPMC5736905
OpenAlexW2773818199

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.