Evidence map›Paper›PMID 29076398›Full record

ArticleFree radical research2017

Quantitative imaging of pO

Hironobu Yasui, Tatsuya Kawai, Shingo Matsumoto, Keita Saito, Nallathamby Devasahayam, James B Mitchell, Kevin Camphausen, Osamu Inanami, Murali C Krishna

Open access · greenAbstract read
In one paragraph

Article in Free radical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
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  11. Magnetic resonance spectroscopy for the study of cns malignancies.Progress in nuclear magnetic resonance spectroscopy · 2021
    Article
  12. Cancer Explant Models.Current topics in microbiology and immunology · 2021
    Article
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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

9 authors at 4 institutions in 2 countries.

Hironobu Yasuia Central Institute of Isotope Science, Hokkaido University , Sapporo , Japan.
Tatsuya Kawaib Radiation Oncology Branch , Center for Cancer Research, National Cancer Institute, National Health Institutes , Bethesda , MD , USA.
Shingo Matsumotoc Division of Bioengineering and Bioinformatics , Graduate School of Information Science and Technology, Hokkaido University , Sapporo , Japan.
Keita Saitod Radiation Biology Branch , Center for Cancer Research, National Cancer Institute, National Health Institutes , Bethesda , MD , USA.
Nallathamby Devasahayamd Radiation Biology Branch , Center for Cancer Research, National Cancer Institute, National Health Institutes , Bethesda , MD , USA.
James B Mitchelld Radiation Biology Branch , Center for Cancer Research, National Cancer Institute, National Health Institutes , Bethesda , MD , USA.
Kevin Camphausenb Radiation Oncology Branch , Center for Cancer Research, National Cancer Institute, National Health Institutes , Bethesda , MD , USA.
Osamu Inanamie Laboratory of Radiation Biology, Department of Environmental Veterinary Sciences, Graduate School of Veterinary Medicine , Hokkaido University , Sapporo , Japan.
Murali C Krishnad Radiation Biology Branch , Center for Cancer Research, National Cancer Institute, National Health Institutes , Bethesda , MD , USA.
National Cancer Institute · USCenter for Cancer Research · USHokkaido University · JPHokkaido University of Science · JP

Funding

Time Domian Electron Paramagnetic Resonance ImagingZIABC010476 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CHERUKURI, MURALI · 2009 to 2025
$17.9M
Time Domian Electron Paramagnetic Resonance ImagingZ01BC010476 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI CHERUKURI, MURALI · 2003 to 2008
$1.7M
Intramural NIH HHS Z01 BC010476
6 · The paper itself

Abstract

Hypoxia is considered one of the microenvironmental factors associated with the malignant nature of glioblastoma. Thus, evaluating intratumoural distribution of hypoxia would be useful for therapeutic planning as well as assessment of its effectiveness during the therapy. Electron paramagnetic resonance imaging (EPRI) is an imaging technique which can generate quantitative maps of oxygen in vivo using the exogenous paramagnetic compound, triarylmethyl and monitoring its line broadening caused by oxygen. In this study, the feasibility of EPRI for assessment of oxygen distribution in the glioblastoma using orthotopic U87 and U251 xenograft model is examined. Heterogeneous distribution of pO

Indexed as

AnimalsBrain NeoplasmsCell HypoxiaCell Line, TumorElectron Spin Resonance SpectroscopyFemaleGliomaHumansMice, NudeOximetryOxygenRadiation ToleranceTumor BurdenXenograft Model Antitumor AssaysOxygenElectron paramagnetic resonance imaginggliomahypoxiaradiation

Identifiers

PMID29076398
PMCPMC7906435
OpenAlexW2765556865

What OpenQuestion holds

Textmetadata
LicenceTDM
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.